Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-feature based event recommendation in Event-Based Social Network

As a new type of heterogeneous social network, Event-Based Social Network (EBSN) has experienced rapid development after its appearance. In EBSN, the interaction data between users and events is relatively sparse because of the short life cycle of events, which brings great challenges to event recommendation. In this paper, a multiple features based event recommendation method is proposed, which makes full use of various information in the network to mine users’ preference for event recommendation. Firstly, a heterogeneous information network model is constructed based on the intrinsic structure characteristics. Then multiple features about topology, temporal, spatial and semantic are extracted to measure the user’s event preference, and a linear scoring model is designed to acquire user’s preference score on events. At last, the bayesian personalized ranking method is used to learn the feature weights by using user-event pairs in scoring model and events are recommended to users according to the descending score order. Experiments are carried out on two real EBSN data sets, the results show that our approach can effectively alleviate the data sparseness problem and achieve better recommendation results.
A fuzzy commitment approach to privacy preserving behavioral targeting

This paper describes a privacy-preserving framework for delivering coupons to users that approximately satisfy a predefined behavioral profile. The framework is designed to be non-interactive, i.e., vendor-side communication occurs only when it pushes coupons out to the users that it regards as potential customers. User privacy is protected by performing all targeting operations on the end-user's device. The protocol is based on a fuzzy commitment primitive that is realized using error correcting codes. The central idea is that a user is able to extract the coupon if her behavioral profile approximately matches the vendor's target profile. Unless the coupon is redeemed, the vendor discovers no information about the user's behavioral profile. The error correction coding framework enforces a natural tradeoff between the privacy of the vendor and the specificity of targeting. In other words, if the vendor wants to target a broad class of potential customers, it must reveal more information about its targeting strategy to ineligible users. Conversely, if the vendor wants to reveal less information about its targeting strategy to ineligible users, then it must target a more focused class of potential customers.
Tracing the Solution Surface with Folds of a Two-Parameter System

We describe a special Gauss–Newton method for tracing solution manifolds with singularities of multiparameter systems. First we choose one of the parameters as the continuation parameter, and fix the others. Then we trace one-dimensional solution curves by using continuation methods. Singularities such as folds, simple and multiple bifurcations on each solution curve can be easily detected. Next, we choose an interval for the second continuation parameter, and trace one-dimensional solution curves for certain values in this interval. This constitutes a two-dimensional solution surface. The procedure can be generalized to trace a k-dimensional solution manifold. Numerical results in 1D, 2D and 3D second-order semilinear elliptic eigenvalue problems given by Lions [1982] are reported.
The Influence of Players' Self-Esteem, Game-Efficacy, and Social Capital on Life Satisfaction Focused on Hedonic and Eudaimonic Happiness

The current study explores a possible mechanism through which game users’ integrated sociopsychological factors lead to a higher level of life satisfaction, based on desire-fulfillment theory as well as hedonic and eudaimonic approaches to happiness. Using data from a survey of 789 game users in South Korea, we tested the relationships of psychological variables (self-esteem and game and life-efficacy), social variables (bonding and bridging social capital), and demographic variables (age and gender) with life satisfaction. Results show that self-esteem and game efficacy were an important antecedent to the degree of users’ life satisfaction. Both bonding and bridging social capital increased life satisfaction. The importance of perspectives as well as their implications for game users and further associated research is explored.
Is Futures Studies a Science or an Art

Futures studies is currently undergoing a process of professional legitimization. A key debate is the status of futures research as either an art or a science. The author considers the evolution of North American and European perspectives as a pivotal influence. Ikka Niiniluoto’s proposal for futures as a “decision science” is contrasted with Wendell Bell’s case for “action science” and “cultural realism. ” Jerry Ravetz’s social critique of highlypoliticized science and Richard Slaughter’s model of critical futures are both mentioned as ways to frame the sociopolitical landscape of this debate. Niiniluoto’s definition limits the activist-emancipatory tradition and ignores contributions from hermeneutic ands cultural theory. Resolving the art-science schism may lie in expanding the global scope of futures and appreciating its trans-civilization knowledge base.
Adaptable Probabilistic Transmission Framework for Wireless Sensor Networks

We propose a novel framework that combines probabilistic transmission with Latin Squares characteristics to tune channel access, meeting various demands in network performance (Energy vs. Delay). The proposed technique is decentralized, scalable, and has low overhead. We develop an analytical model to estimate the network performance and validate the benefits of the proposed framework via simulation-based experiments.
The Advantage of Arriving First: Characteristic Times in Finite Size Populations of Error-Prone Replicators

We study the evolution of a finite size population formed by mutationally isolated lineages of error-prone replicators in a two-peak fitness landscape. Computer simulations are performed to gain a stochastic description of the system dynamics. More specifically, for different population sizes, we compute the probability of each lineage being selected in terms of their mutation rates and the amplification factors of the fittest phenotypes. We interpret the results as the compromise between the characteristic time a lineage takes to reach its fittest phenotype by crossing the neutral valley and the selective value of the sequences that form the lineages. A main conclusion is drawn: for finite population sizes, the survival probability of the lineage that arrives first to the fittest phenotype rises significantly.
Use of different coloured ovitraps in the surveillance of Aedes mosquitoes in an arid-urban area of western Rajasthan, India.

BACKGROUND & OBJECTIVES In the absence of any commercially available dengue vaccine or antiviral therapy, controlling the primary mosquito vector, Aedes aegypti, is currently the only means to prevent dengue outbreaks. Ovitraps are being employed as a sensitive method for detecting the presence of Ae. aegypti. Size, colour, material, paddle and use of oviposition attractant have been reported as important factors influencing the efficacy of ovitraps. METHODS For the study of coloured ovitraps baited with grass infusion, 24 households were randomly selected in a locality and five ovitraps/premises were installed. Weekly ovitrap surveys were conducted during the study for four times. Ovitrap data were analyzed on the basis of its location, day-wise percent positivity, presence of eggs laid and inference of different ovitrap parameters were drawn. RESULTS Grass infusion, used in the ovitraps has highest attractiveness on Day 6 in comparison to other days. Percent positivity of different coloured ovitraps revealed that red coloured ovitraps have highest positivity (92.7%), followed by black and orange (91.7% each), green (76.3%) and transparent (45.8%). The individual colour-wise ovitrap positivity revealed that the highest ovitrap positivity on Day 1 was recorded for black colour (21.8%), which on D2 and D3, in case of red colour (37.5 and 26%). However, on D4, D5 and D6 highest number of positive ovitraps was recorded in orange coloured (12.5, 21.9 and 31.3%, respectively) and on D7 highest number of positive ovitraps were recorded in transparent (21.9%), followed by green coloured ovitrap (20.8%). The overall location-wise ovitraps positivity revealed that highest positivity was recorded among the ovitraps installed inside bathrooms (92.0%), followed by bedrooms (85.0%), lobby (66.7%) and stores (48.3%). INTERPRETATION & CONCLUSION The study revealed that for immediate detection of the presence of gravid females in a particular locality during epidemics, the black coloured ovitraps may be useful, however, in normal situations for surveillance of the vector species, the orange coloured ovitraps might be more suitable. Bathrooms were found to be the highest positive location for pitching ovitraps.
Identification of 12 lncRNAs as Potential miRNA Targets in Roots of Rehmannia glutinosa Responding to Replanting Disease

The productivity of the medicinal plant Rehmannia glutinosa is severely compromised by the so-called replanting disease, the molecular basis of which remains unclear. Long non-coding RNAs (lncRNAs) are known to regulate various posttranscriptional modifications in a wide range of eukaryotic genes, and the possibility that they represent a target for miRNA activity has recently been proposed. Here, two poly(A) RNA libraries were generated, one based on RNA extracted from R. glutinosa roots harvested from a new planting (R1) and therefore free of replanting disease, and the other from a second crop (R2) affected by the disease. An in silico analysis of the resulting ~89,000 non-redundant transcripts detected 155 lncRNA candidates as miRNA targets. Based on the ceRNA hypothesis, a set of potential lncRNA candidate/mRNA modules was established, involving an interaction with the same miRNAs. Altogether, 32 of these lncRNA candidates differed in abundance between the R1 and R2 libraries, and a quantitative PCR-based assay verified differential transcription for 28 of them. Here, 12 lncRNAs were validated using RACE PCR. The abundance of the 12 lncRNA/mRNA modules was correlated with the presence of replanting disease. The indication was that the lncRNA candidates under continuous cultivation pressure, via their competition for specific mRNAs, could activate the specific stress signaling pathways, repress core mechanisms, and result in forming the disease in R. glutinosa. Our working hypothesis holds that a number of lncRNA candidates potentially as miRNA targets contribute either directly or indirectly to the disease phenomenon. © 2018 Friends Science Publishers
Deducing Intracellular Disb 1 buUons of Metabolic Pathways from Genomic Data

In the recent ycars, a large number of genomes from a variety of different organisms have been sequenced. Most of the sequence data has been publicly released and can be assessed by interested users. However, this wca.lth ofinformation is currendyundercxploitcd by scientists not directly invoh•ed in genome anno1ation. This is partially because sequencing, assembly, and aummatcd at>no~tion can be done much fuster than the identification, classification, and prediction oftl>c intracellular localization of the gene products. This v•n uf the an nora don process still largely relics on manual curatioo and addition of contextual in forma· Lion . Users of genome databases who arc unf.tmiloar with the cypcs of data available from (whole) genomcs might therefore find themselves either overwhelmed by the vasr amount and multiple layers of dar;~ or dissatisfied with less·than·mcaningful analyses of d1e data. In this chapter we present procedures and approaches to identifY and cbaractcri.te gene models of en'-)""CS in,·oh·ed in metabolic pathways based on their similarity to known sequences. funhermore we describe how to predict d>c subcellular location of the proteins using publicly available prediction servers and how to interpret t11e obtained results. The strategies we describe are generally applicable to organisms with primary plastids such as land plants or green algae. Additionally, we describe Stralcgies suitable for those groups of algae with secondary plastids (for instance dia1oms), which arc characterized by a different cellulu topology and a larger number of intracellular comparunen[S compared tO plants. Key wo rds Metabolic pathways, SubceUular localiution, Prescquenccs, Algae, Diatoms
Handwriting in 2015: A main occupation for primary school–aged children in the classroom?

ABSTRACT Historically, handwriting is a skill acquired by children in the classroom. The relevance of this skill today is currently debated due to advances in technology. A nonexperimental time-series design investigated how much time Australian primary school children spend on handwriting in the classroom. A second aim investigated how much time was spent on technology activities in the classroom. Three schools participated and nine classrooms were observed. Findings indicated that the use of technology is still emerging in a primary school classroom and, although time spent on fine motor activities has reduced, handwriting remains a main occupation for children in the classroom in the early 21st century.
Does natural selection apply to natural language processing? an experiment for multiword unit extraction

In this paper, we focus on the suitability of natural selection for the extraction of Multiword Units (i.e. complex lexical units such as compound nouns, idiomatic expressions or phrase templates). For that purpose, a fitness function is defined whose maximization serves as a basis for the identification of pertinent word N-grams together with a similarity measure. In order to propose a suitable platform for evaluation, a software application called GALEMU (Genetic ALgorithm for the Extraction of Multiword Units) has been implemented. Finally, we will provide an experiment realized over an unnnotated text corpus extracted from the database collection of the European Commission that evidences results with high precision rate.
Photocatalytic Degradation of Ceftriaxone in Aqueous Solutions by Immobilized TiO 2 and ZnO Nanoparticles : Investigating Operational Parameters

The main objective of this study was to investigate the degradation of Ceftriaxone with immobilized TiO2 and ZnO as heterogeneous catalysts. Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM) was used to characterize the surface of both catalysts. Photodegradation was compared using direct photolysis (UV alone), TiO2/UV, and ZnO/UV processes in a photoreactor with high-pressure mercury lamp irradiation. Special attention was given to the influence of the initial concentration of Ceftriaxone, initial pH and light intensity (LI), on photodegradation processes. The results showed that photodegradation involving UV/TiO2 process was more effective than that involving UV/ZnO process. Either of the experiments was performed in the same operational conditions of C0, light intensity, desired value of pH for both catalysts, and the apparent rate constant (kapp) appears to be about 0.022 min -1 for UV/TiO2 process (pH = 5) and about 0.0081 min -1 for UV/ZnO process (pH = 8). For both systems, the photodegradation of Ceftriaxone followed the pseudo-firstorder kinetics.
Long-Term Exposure to Low-Level Arsenic in Drinking Water and Diabetes Incidence: A Prospective Study of the Diet, Cancer and Health Cohort

Background: Established causes of diabetes do not fully explain the present epidemic. High-level arsenic exposure has been implicated in diabetes risk, but the effect of low-level arsenic exposure in drinking water remains unclear. Objective: We sought to determine whether long-term exposure to low-level arsenic in drinking water in Denmark is associated with an increased risk of diabetes using a large prospective cohort. Methods: During 1993–1997, we recruited 57,053 persons. We followed each cohort member for diabetes occurrence from enrollment until 31 December 2006. We traced and geocoded residential addresses of the cohort members and used a geographic information system to link addresses with water-supply areas. We estimated individual exposure to arsenic using all addresses from 1 January 1971 until the censoring date. Cox proportional hazards models were used to model the association between arsenic exposure and diabetes incidence, separately for two definitions of diabetes: all cases and a more strict definition in which cases of diabetes based solely on blood glucose results were excluded. Results: Over a mean follow-up period of 9.7 years for 52,931 eligible participants, there were a total of 4,304 (8.1%) diabetes cases, and 3,035 (5.8%) cases of diabetes based on the more strict definition. The adjusted incidence rate ratios (IRRs) per 1-μg/L increment in arsenic levels in drinking water were as follows: IRR = 1.03 (95% CI: 1.01, 1.06) and IRR = 1.02 (95% CI: 0.99, 1.05) for all and strict diabetes cases, respectively. Conclusions: Long-term exposure to low-level arsenic in drinking water may contribute to the development of diabetes. Citation: Bräuner EV, Nordsborg RB, Andersen ZJ, Tjønneland A, Loft S, Raaschou-Nielsen O. 2014. Long-term exposure to low-level arsenic in drinking water and diabetes incidence: a prospective study of the Diet, Cancer and Health cohort. Environ Health Perspect 122:1059–1065; http://dx.doi. org/10.1289/ehp.1408198
P-CHANNEL MOSFET AS A SENSOR AND DOSIMETER OF IONIZING RADIATION

This paper presented a study of MOSFETs as a sensor and dosimeter of ionizing radiation. The electrical signal used as a dosimetric parameter is the threshold voltage. The functionality of these components is based on radiation-induced ionization in SiO 2 , which results in increase of positive charge trapped in the SiO 2 and interface traps at Si- SiO 2 , leads to change in threshold voltage. The first part of the paper deals with analysis of defect precursors created by ionizing radiation, responsible for creation of fixed and switching traps, as well as most important techniques for their separation. Afterwards, the results for sensitive p-channel MOSFETs (RADFETs) are presented, following with results for commercially available MOSFETs applications as a sensors of ionizing radiation.
Improving search relevance for short queries in community question answering

Relevant question retrieval and ranking is a typical task in community question answering (CQA). Existing methods mainly focus on long and syntactically structured queries. However, when an input query is short, the task becomes challenging, due to a lack information regarding user intent. In this paper, we mine different types of user intent from various sources for short queries. With these intent signals, we propose a new intent-based language model. The model takes advantage of both state-of-the-art relevance models and the extra intent information mined from multiple sources. We further employ a state-of-the-art learning-to-rank approach to estimate parameters in the model from training data. Experiments show that by leveraging user intent prediction, our model significantly outperforms the state-of-the-art relevance models in question search.
Adaptation in Pronoun Resolution: Evidence From Brazilian and European Portuguese

Previous research accounting for pronoun resolution as a problem of probabilistic inference has not explored the phenomenon of adaptation, whereby the processor constantly tracks and adapts, rationally, to changes in a statistical environment. We investigate whether Brazilian (BP) and European Portuguese (EP) speakers adapt to variations in the probability of occurrence of ambiguous overt and null pronouns, in two experiments assessing resolution toward subject and object referents. For each variety (BP, EP), participants were faced with either the same number of null and overt pronouns (equal distribution), or with an environment with fewer overt (than null) pronouns (unequal distribution). We find that the preference for interpreting overt pronouns as referring back to an object referent (object-biased interpretation) is higher when there are fewer overt pronouns (i.e., in the unequal, relative to the equal distribution condition). This is especially the case for BP, a variety with higher prior frequency and smaller object-biased interpretation of overt pronouns, suggesting that participants adapted incrementally and integrated prior statistical knowledge with the knowledge obtained in the experiment. We hypothesize that comprehenders adapted rationally, with the goal of maintaining, across variations in pronoun probability, the likelihood of subject and object referents. Our findings unify insights from research in pronoun resolution and in adaptation, and add to previous studies in both topics: They provide evidence for the influence of pronoun probability in pronoun resolution, and for an adaptation process whereby the language processor not only tracks statistical information, but uses it to make interpretational inferences.
Effects of Diets with Graded Levels of Canola Meal on the Growth Performance, Meat Qualities, Relative Organ Weights, and Blood Characteristics of Broiler Chickens

This experiment was conducted to evaluate the dietary supplementation of canola meal (CM) on the growth performance, carcass characteristics, antibody titers against Newcastle disease virus and Infectious bronchitis virus, and blood profiles of broiler chickens. In total 600 day-old feather-sexed Ross male broiler chicks were randomly assigned into five treatments with six replicates of 20 birds each for 35 days. Treatments consisted of five experimental diets containing 0 (control), 3, 5, 10, or 15% canola meal (CM). Final body weight (BW) was not affected by the dietary treatments. Daily BW gain (DWG) and feed intake linearly decreased as dietary CM inclusion increased during the starter phase (p<0.0001), but not during the grower and total rearing periods. Chicks fed the diet with 15% CM presented the lowest DWG during the starter phase. Breast meat yield of CM-fed chicks linearly decreased as CM inclusion level increased (p=0.0014). Dietary CM supplementation did not influence organ relative weights, except for the spleen, meat quality, or blood profile. The results suggest that the CM may replace soybean meal (SBM) with no detrimental effects on overall growth performance or physiological responses of broiler chickens. However, it is recommended that supplementing excess amount of CM into broilers' diet should be taken into account in practical diet formulation as it could impair growth performance at early age and lower breast meat yields.
Quasi-Particle Approach to 2D IR Spectra of Vibrational Excitons in Biomolecules Molecular Dynamics versus Stochastic Simulation Protocols

The study of vibrational excitons in molecular systems has been an active topic of research over the past 60 years. The idea that nearly degenerate coupled vibrations can be described by a delocalized excitation within the system (an exciton) first emerged in the context of molecular crystals [1]. A similar picture applies to the amide vibrations in proteins where delocalization among C=O stretching modes of nearby amide-I groups results in disordered exciton dynamics [2,3]. These studies linked the molecular conformation with infrared absorption and Raman spectroscopy [4,5]; the band frequencies are given by the eigenvalues of the exciton Hamiltonian and intensities are determined by the transition dipole moments (infrared) or polarizabilities (Raman). Exciton delocalization depends primarily on two factors: the hydrogen-bonding structure and the interaction between the transition dipoles [2,3,6]. The former directly modifies the frequencies of 13