Miracle-dz/UniFAR-FTUs huggingface dataset:
Solving the Cold Start Problem Using Product Related Contents

To make rating predictions, one of the most commonly used approach in recommender systems is the latent factor model. Despite its popularity, one of its drawbacks is that it only makes use of numeric ratings but ignores other resources, such as review texts. McAuley et al. [1] proposed a general framework to employ both numeric ratings and review texts, and showed their model can outperform the latent factor model in various types of products. Although they found reviews to be a highly informative text source, reviews are not available in many recommendation settings, nor are they available for new users and items. To address this cold start problem, we based our work on the framework they developed, and experimented with other product related contents to replace review texts.
Relationshopping: Investigating the market metaphor in online dating

In this manuscript we explore the ways in which the marketplace metaphor resonates with online dating participants and how this conceptual framework influences how they assess themselves, assess others, and make decisions about whom to pursue. Taking a metaphor approach enables us to highlight the ways in which participants’ language shapes their self-concept and interactions with potential partners. Qualitative analysis of in-depth interviews with 34 participants from a large online dating site revealed that the marketplace metaphor was salient for participants, who employed several strategies that reflected the assumptions underlying the marketplace perspective (including resisting the metaphor). We explore the implications of this metaphor for romantic relationship development, such as the objectification of potential partners.
TGIS: Booting Trust for Secure Information Sharing in Dynamic Group Collaborations

Mobile computing has drawn considerable attention because of the various types of mobile devices and services that are becoming available. This paper explores dynamic group collaboration and information sharing with mobile devices, such as smart phones and tablets. In particular, we propose trusted group-based information sharing (TGIS), a protocol for mobile devices to establish a trust relationship in order to form group-based information sharing. We exploit existing (group or organizational) identity hierarchies of mobile users to establish trust between group members with hierarchical identity-based encryption (HIBE). In order to control information sharing within a group and between groups, we further leverage attribute-based encryption (ABE) for secure access control, where attribute secret keys are distributed with the trust relationship with HIBE. We have implemented and evaluated TGIS on Android phones, demonstrating its viability.
Perinatal antibiotic treatment affects murine microbiota, immune responses and allergic asthma

There is convincing evidence from recent human and animal studies that suggests the intestinal microbiota plays an important role in regulating immune responses associated with the development of allergic asthma, particularly during early infancy. Although identifying the mechanistic link between host-microbe interactions in the gut and lung mucosal tissues has proved challenging, several very recent studies are now providing significant insights. We have shown that administering vancomycin to mice early in life shifts resident gut flora and enhances future susceptibility to allergic asthma. This effect was not observed in mice given another antibiotic, streptomycin, nor when either antibiotic was administered to adult mice. In this addendum, we further analyze the link between early life administration of vancomycin and future susceptibility to asthma and describe how specific immune cell populations, which have been implicated in other asthma-related microbiota studies, are affected. We propose that shifts in gut microbiota exacerbate asthma-related immune responses when they occur shortly after birth and before weaning (perinatal period), and suggest that these effects may be mediated, at least in the case of vancomycin, by elevated serum IgE and reduced regulatory T cell populations.
A-Mazer with Genetic Algorithm

Typically Mazes require sequence of decision to be taken in order to reach to the goal state from the initial state. The maze structure considered in this paper is a random rectangular maze constructed by using the sequence of stochastic decisions taken over iterations to create the same. The paper also focuses to give solution of the rectangular maze by using Genetic Algorithm, an evolutionary heuristic method for finding optimum solution. Genetic algorithms are the heuristics methods from the category of evolutionary algorithms which are based on the Darwin‟s principle of origin of species by means of natural selection [4]. GA‟s are invented by John Holland in 1960‟s [5]. In contrast with Evolution Strategies and Evolutionary Programming, Holland‟s original goal was not to design algorithms to solve specific problems, but rather to formally study the phenomenon of adaptation as it occurs in nature and to develop ways in which the mechanisms of natural adaptation might be utilized into computer systems. Holland‟s 1975 book „Adaptation in Natural and Artificial Systems‟ presented the GA as an abstraction of biological evolution and gave a theoretical framework for adaptation under the GA. Many problems in engineering and related areas require the simultaneous genetic optimization of a number of, possibly competing, objectives have been solve by combining the multiple objectives in to single scalar by some linear combination[6].
DRN: Bringing Greedy Layer-Wise Training into Time Dimension

Sequential data modeling has received growing interests due to its impact on real world problems. Sequential data is ubiquitous - financial transactions, advertise conversions and disease evolution are examples of sequential data. A long-standing challenge in sequential data modeling is how to capture the strong hidden correlations among complex features in high volumes. The sparsity and skewness in the features extracted from sequential data also add to the complexity of the problem. In this paper, we address these challenges from both discriminative and generative perspectives, and propose novel stochastic learning algorithms to model nonlinear variances from static time frames and their transitions. The proposed model, Deep Recurrent Network (DRN), can be trained in an unsupervised fashion to capture transitions, or in a discriminative fashion to conduct sequential labeling. We analyze the conditional independence of each functional module and tackle the diminishing gradient problem by developing a two-pass training algorithm. Extensive experiments on both simulated and real-world dynamic networks show that the trained DRN outperforms all baselines in the sequential classification task and obtains excellent performance in the regression task.
Leisure activities,life events and Alzheimer's disease

Objective To evaluate the etiologic association between leisure activities,life events and Alzheimer's disease (AD). Methods An age,sex,educational level,1∶1 matched case control study was conducted in Beijing,Shanghai,Chengdu,and Xi'an.Cases and controls were drawn from a prevalence study of dementia in elderly population in these cities.The risk of AD related to leisure activities and life events were fitted to univariate and multivariate conditional Logistic model.Results Two hundred and eighty-two AD patients and 282 non-demented controls were recruited for the study.The mean incidence age of cases was 75.83±8.20 years old.The dose of participating leisure activities was quantitated by time-year,that is time of participation per day multiply year of participation.The OR for AD was negative correlated to the time-year of participating leisure activities after 40 years old or more ( OR =0.987,95% CI ,0.981 to 0.992). The OR for AD was 1.600 (95% CI ,1.014 to 2.525) for individuals who ever suffered from great negative events as compared with individuals who had never suffered from such events.The OR s was adjusted by marriage status,economic status,occupation,living status,and family history of first-degree relatives.The adjusted risk of AD decreased to 0.978 fold (95% CI :0.968 to 0.988) in every increased time-year of participating leisure activities.The adjusted OR for AD was 1.946 (95% CI ,1.052 to 3.599) for individuals who had ever suffered from great negative events,as compared with those had never suffered from such events.Conclusions The study demonstrated that participating leisure activities might have protective effects to AD,and suffering from great negative life events might have some relations to AD.
Merging of Temporal Plans Supported by Plan Repairing

In this paper, we present an approach to coordinate two temporal plans, where one plan is for the achievement of a reactive goal, and thus has more priority, while the other is for the achievement of a proactive goal. As both plans have been computed independently from each other, conflicts can arise during their execution. We present a plan merging algorithm to coordinate the actions of both plans. Unlike many other plan merging approaches, which use only the actions present in both plans to coordinate them, our approach is supported by a sound plan repairing approach, to deal with the situations where both plans can not be merged as they are i.e. when one plan uses the same resource needed by the other plan and then does not release the resource. The plan repairing algorithm uses an extension of the well known planner Sapa, to repair a plan in the presence of another plan, and thus taking into account the constraints imposed by the latter. Our approach is generic and can be used in different situations of coordination between multiple agents and within a single agent.
THE RELATIONSHIP BETWEEN 11-KETOTESTOSTERONE, CORTISOL, AND TESTOSTERONE AND CONDITION INDEX FOR Poecilia reticulata

The guppy, Poecilia reticulata, is a common study organism for behavioral and other ecological experiments (Houde, 1997). As far as we know, no previous data have been compiled regarding hormones and condition index of guppies. In this experiment we examined the relationship between circulating levels of three hormones (testosterone, 11-ketotestosterone and cortisol) and condition index in males and also made comparisons among the hormone levels, for three guppy sites from the northern range of Trinidad – Aripo River, Marianne River and Small Crayfish River. Hormone samples were obtained using non-invasive water borne techniques and quantified by our collaborator. The condition index of guppies was calculated as the ratio of mass per length. We predicted the following relationships: positive relationships between testosterone (T) and 11-ketotestosterone (11KT), condition index (CI) and 11KT, and CI and T; negative relationships between 11KT and cortisol (C), T and C, and CI and C. We found: a positive relationship between 11KT and C, 11KT and T, and C and T for the Small Crayfish River population. Aripo River and Marianne River populations displayed no significant relationship between 11KT and C, and 11KT and T. The Aripo River population showed a significant positive relationship between C and T, but the Marianne River did not show a significant relationship. Overall, there were no relationships between any of the hormones and CI for any site. Our findings indicate that there may be genetic differences among the populations indicated by the hormone differences. Further experimentation is necessary for more comprehensive understanding of the functions of these hormones in the guppies. Introduction Hormonal effects on morphological and behavioral characteristics have been widely investigated in several taxa (e.g. cichlids, Antunes & Oliveira, 2009; Guppies, Clemens et al., 1966; Eastern fence lizards, Cox et al., 2005; cichlids, Early et al., 2006; male bluegills, Kindler et al., 2006; Japanese eels, Ozaki et al., 2006). Androgens, such as testosterone (T), have been linked to the production of traits such as body coloration, which can either be intensified or reduced with increasing levels of androgens, depending on the organism (Skold et al., 2008). Body size, in particular, seems to be variable depending on the species, as seen in gorillas and
Event Extraction from Biomedical Papers Using a Full Parser

We have designed and implemented an information extraction system using a full parser to investigate the plausibility of full analysis of text using general-purpose parser and grammar applied to biomedical domain. We partially solved the problems of full parsing of inefficiency, ambiguity, and low coverage by introducing the preprocessors, and proposed the use of modules that handles partial results of parsing for further improvement. Our approach makes it possible to modularize the system, so that the IE system as a whole becomes easy to be tuned to specific domains, and easy to be maintained and improved by incorporating various techniques of disambiguation, speed up, etc. In preliminary experiment, from 133 argument structures that should be extracted from 97 sentences, we obtained 23% uniquely and 24% with ambiguity. And 20% are extractable from not complete but partial results of full parsing.
The effect of a strong external radiation field on protostellar envelopes in Orion

We discuss the effects of an enhanced interstellar radiation field (ISRF) on the observables of protostellar cores in the Orion cloud region. Dust radiative transfer is used to constrain the envelope physical structure by reproducing SCUBA 850 µm emission. Previously reported 13 CO, C 17 O and H2CO line observations are reproduced through detailed Monte Carlo line radiative transfer models. It is found that the 13 CO line emission is marginally optically thick and sensitive to the physical conditions in the outer envelope. An increased temperature in this region is needed in order to reproduce the 13 CO line strengths and it is suggested to be caused by a strong heating from the exterior, corresponding to an ISRF in Orion 10 3 times stronger than the “standard” ISRF. The typical temperatures in the outer envelope are higher than the desorption temperature for CO. The C 17 O emission is less sensitive to this increased temperature but rather traces the bulk envelope material. The data are only fit by a model where CO is depleted, except in the inner and outermost regions where the temperature increases above 30–40 K. The fact that the temperatures do not drop below ≈25 K in any of the envelopes whereas a significant fraction of CO is frozen-out suggest that the interstellar radiation field has changed through the evolution of the cores. The H2CO lines are successfully reproduced in the model of an increased ISRF with constant abundances of 3–5 × 10 −10 .
Direction-based clustering for efficient multicasting in wireless ad-hoc networks

A wireless ad-hoc network is a dynamically recon gurable network without any xed infrastructure or centralized administration. Due to the limited radio propagation range of wireless devices, communication between them in a wireless ad-hoc network is often achieved by multi-hop routing. In wireless ad-hoc networks, many applications use multicasting for the e cient dissemination of queries or data. Since a large number of multicast packets may decrease the stability of the network, it is important to reduce the number of packets required for multicasting. In this paper, we propose an e cient multicast algorithm for wireless ad-hoc networks that can reduce the number of multicast packets e ectively. The proposed method clusters the multicast receivers hierarchically based on their directions from the multicast sender. Then, the hierarchically organized cluster is used for multicasting path. Through simulation experiments, we evaluate the performance of the proposed method in comparison with conventional multicasting methods.
The Design of Kademlia System Base on Network Topology Matching

Structured P2P system doesn’t consider the actual physical topology when building the logical overlay, which would cause a serious mismatching between logical overlay network and physical network and affect the routing performance of the system. An advanced algorithm of K-bucket updating strategy base on structured Kademlia system was proposed. Using Landmark Binning algorithm and RTT detection will make physically neighboring node location be placed in the front-end query as far as possible. In the process of resources locating, the node firstly choose nodes in short distance for routing. So, the topology mismatching problem in structured Kademlia system will be effectively solved. Simulation tests indicate that the improved system enhance system’s routing performance obviously.
Introduction KATRIN LINDNER and

This special issue of Linguistics is devoted to recent findings about children with specific language impairment (henceforth SLI) learning different first and second languages. Children with SLI form a subgroup of those language users who have problems acquiring their mother tongue. Traditionally, at least four criteria have helped to differentiate this group from other children with language disorders: children with SLI are supposed to have a nonverbal IQ within normal range, and they do not suffer from vision or hearing problems nor from any known neurological or social-emotional disturbances serious enough to cause difficulties in language learning. In the last ten years these criteria have been called into doubt. Partly due to their language-learning problems, these children have been found to suffer from other cognitive problems as well (e.g. Johnston 1994) and are often limited in their social wellbeing (e.g. Rice 1993). Clearly some biological factors are involved; SLI ‘‘runs in families’’ (Bishop 1992; Tomblin and Buckwalter 1994). However, no specific genetic constellation has been reliably made out yet. Roughly, boys and girls are affected in a ratio of 3:1. In terms of language-learning difficulties, these children do not form a homogeneous group. Many of them are identified on the basis of deficits in production, mostly in morphosyntax, but also in semantics and pragmatics. Children’s performance is about 1 to 2 standard deviations below the mean on standardized tests. Moreover, there is a growing body of literature documenting that children’s comprehension is affected as well. Articulation problems are often found in association with SLI (for a more comprehensive survey cf. Leonard 1998). The papers in this issue all come from researchers who are members of the ‘‘European Group of Child Language Disorders’’ (abbreviated EUCLDIS). This group was founded in 1987 to provide an informal forum for linguists, psycholinguists, and psychologists to discuss ongoing studies and recent findings in the field of SLI. Today one to four researchers from Sweden, Norway, England, The Netherlands, France, Spain,
Behavior-driven clustering of queries into topics

Categorization of web-search queries in semantically coherent topics is a crucial task to understand the interest trends of search engine users and, therefore, to provide more intelligent personalization services. Query clustering usually relies on lexical and clickthrough data, while the information originating from the user actions in submitting their queries is currently neglected. In particular, the intent that drives users to submit their requests is an important element for meaningful aggregation of queries. We propose a new intent-centric notion of topical query clusters and we define a query clustering technique that differs from existing algorithms in both methodology and nature of the resulting clusters. Our method extracts topics from the query log by merging missions, i.e., activity fragments that express a coherent user intent, on the basis of their topical affinity. Our approach works in a bottom-up way, without any a-priori knowledge of topical categorization, and produces good quality topics compared to state-of-the-art clustering techniques. It can also summarize topically-coherent missions that occur far away from each other, thus enabling a more compact user profiling on a topical basis. Furthermore, such a topical user profiling discriminates the stream of activity of a particular user from the activity of others, with a potential to predict future user search activity.
Joint source and relay beamforming design for general MIMO relaying broadcast channels

The design of proper precoders enables the spectral efficiency for multiple-input multiple-output relaying broadcast channels (MIMO-RBC). In this work, a general MIMO-RBC is considered with two types of users (relay users and direct users) and the base station (BS) can send information continuously to the users during two phases. We then present a communication scheme that achieves the full number of degrees of freedom (DoF) of the channel with a sophisticated precoding strategy to overcome the relay station (RS) half-duplex constraint, by a well designed precoding matrix (PM) and beamforming matrix (BM) for BS and RS, respectively. The throughput criteria within the sophisticated precoding strategy is addressed for PM and BM designs in the considered communication scheme, and we show that this problem is non-linear non-convex and the optimal solutions remain unsolved. In order to find an efficient solution, we first convert it into a series of tractable subproblems, and then an iterative design algorithm is proposed based on alternative optimization, which can obtain the optimal matrices for BS and RS. Our numerical results obtained through simulations show the advantages of the proposed scheme.
Challenges for the sequential two-system model of moral judgement

ABSTRACT Considerable evidence supports the sequential two-system (“default interventionist”) model of moral judgement, as proposed by Greene and others. We tested whether judgement speed and/or personal/impersonal moral dilemmas can predict the kind of moral judgements (utilitarian or deontological) subjects make for each dilemma, and whether personal dilemmas create difficulty in moral judgements. Our results showed that neither personal/impersonal conditions nor spontaneous/thoughtful-reflection conditions were reliable predictors of utilitarian or deontological moral judgements. Yet, we found support for an alternative view, in which, when the two types of responses are in conflict; the resolution of this conflict depends on both the subject and the dilemma. While thinking about this conflict, subjects sometimes change their minds in both directions, as suggested by the data from a mouse-tracking task.
Consensus of multi-agent linear dynamic systems via impulsive control protocols

In this article, we introduce impulsive control protocols for multi-agent linear dynamic systems. First, an impulsive control protocol is designed for network with fixed topology based on the local information of agents. Then sufficient conditions are given to guarantee the consensus of the multi-agent linear dynamic systems by the theory of impulsive systems. Furthermore, how to select the discrete instants and impulsive matrices is discussed. The case that the topologies of networks are switching is also considered. Numerical simulations show the effectiveness of our theoretical results.
Logol : Modelling evolving sequence families through a dedicated constrained string language

The report reviews the key milestones that have been reached so far in applying formal languages to the analysis of genomic sequences. Then it introduces a new modelling language, Logol, that aims at expressing more easily complex structures on genomic sequences. It is based on a development of String Variable Grammars, a formal framework proposed by D. Searls.