Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexual behavior condom use disclosure of sexuality and stability of sexual orientation in bisexual men.

Little is known regarding the social and sexual behavior of bisexual men, a population of increasing importance given their risk for HIV transmission. In this exploratory study, we described a sample of 105 self‐identified bisexual men recruited through a newspaper ad and interviewed in person. Our objectives were to (a) describe their social characteristics and reported sexual behavior with males and females; (b) assess rates of disclosure of sexuality to others, including female sexual partners; (c) examine behavioral versus self‐labeling definitions of bisexuality, vis‐a‐vis involvement in the gay community, mental health, and HIV‐risk behavior; and (d) test the stability of sexual orientation during one year in a subsample of respondents. HIV‐risk behavior was generally low. Most respondents had not disclosed their same‐sex attraction to their social networks, including female sexual partners. Behaviorally bisexual men had higher psychological well‐being and lower HIV risk than did men who self‐identi.
Current Transport Mechanism and Control of the $n$-Value for Ag/Bi2212 Wires and Tapes

In order to study the mechanism of the small n-value for Bi2212, E- J characteristics were measured carefully for various kinds of Bi2212 tapes and round wires in high magnetic fields. Some of wires were heat-treated in a magnetic field of 5 T. We found that the n -values of all the samples increase by the in-field heat-treatment at 5 T. In addition, we analyzed the E- J properties by the combination of the percolation model based on the local Jc distribution and the two directional Jc distribution model. The improvement of the n-value by the in-field heat treatment can be understood by the change of the aspect-ratio of the grains. Therefore, the aspect-ratio of the grains plays an important role in the current transport influencing not only Jc but also n-value.
Hypostatic Jammed Packings of Nonspherical Hard Particles : Ellipses and Ellipsoids

Aleksandar Donev, 2 Robert Connelly, Frank H. Stillinger, and Salvatore Torquato 2, 4, 5, ∗ Program in Applied and Computational Mathematics, Princeton University, Princeton NJ 08544 PRISM, Princeton University, Princeton NJ 08544 Department of Mathematics, Cornell University, Ithaca NY 14853 Department of Chemistry, Princeton University, Princeton NJ 08544 Princeton Center for Theoretical Physics, Princeton University, Princeton NJ 08544
Moving Objects Detection by Conflict Analysis in Evidential Grids

Advanced Driving Assistance Systems exploit exteroceptive sensors to help the driver in perceiving the dynamic environment, like other vehicles or pedestrians. This paper proposes an original approach to deal with this perception challenge in urban environments. The method detects mobile objects motions using grids elaborated thanks to a lidar range scanner and an enhanced map of the drivable space. The data fusion is performed using the Dempster-Shafer theory which provides an interesting framework particularly well adapted to manage the uncertainties of the sensors. By analyzing conflicting information, objects movements can be efficiently characterized. This formalism provides also the interesting possibility to introduce decay factors that are useful for forgetting old information. Experimental results obtained with an IBEO Alasca and an Applanix positioning system show that such a perception strategy can be effective compared to deterministic accumulation strategies.
Physical and Functional Characteristics of R-Factor Deoxyribonucleic Acid Segregated into Escherichia coli Minicells

Both fi+ and fi− type R factors function as intact replicative units when segregated into Escherichia coli minicells. Hybridization studies demonstrate that at least 95% of the deoxyribonucleic acid (DNA) in R+ minicells is episomal in origin. About half of the DNA can be extracted in a closed circular form and about 75% of the DNA is membrane associated. DNA, ribonucleic acid, and protein synthesis proceeds in R+ minicells in contrast to R− minicell controls. The system offers a unique opportunity to study a relatively small replicative unit in a native cell environment and a simple means of isolating large quantities of episomal DNA.
White Paper : Honeypot Platform : Analyses and Results 1 October 30 , 2004

This report is part of the Eurecom research contract with France Telecom R&D. With respect to the deliverables characteristics, we present in this paper the first concrete results extracted from the honeypot platform. We take this opportunity to present the clustering approach we are using as part of our analysis. Based on it, we show that interesting information can be learnt from the attack processes. This information is of great value for getting a better understanding of current threats. We intend in a near future to integrate this value into correlation tools.
Face Recognition under Real-world Conditions

This paper deals with Automatic Face Recognition (AFR). The main contribution of this work consists in the evaluation of our two previously proposed AFR methods in real conditions. At first, we compare and evaluate the recognition accuracy of two AFR methods on well-controlled face database. Then we compare these results with the recognition accuracy on a real-world database of comparable size. For such comparison, we use a sub-set of the newly created Czech News Agency (CTK) database. This database is created from the real photos acquired by the CTK and the creation of this corpus represents the second contribution of this work. The experiments show the significant differences in the results on the controlled and real-world data. 100% accuracy is achieved on the ORL database while only 72.7% is the best score for the CTK database. Further experiments show, how the recognition rate is influenced by the number of training images for each person and by the size of the database. We also demonstrate, that the recognition rate decreases significantly with larger database. We propose a confidence measure technique as a solution to identify and to filter-out the incorrectly recognized faces. We further show that confidence measure is very beneficial for AFR under real
Optimal dispatch of electric vehicle batteries between battery swapping stations and charging stations

Along with the fast development of battery technologies and growing criticism on heavy air pollution caused by traditional automobiles, electric vehicles (EV) draw more attention in these years. The inconvenience of battery charging is the main barrier to the widespread use of EVs, and the EV battery-swapping technology is a promising method to assist overcoming this difficulty eventually because of its flexibility. In this paper, a battery schedule framework is studied to dispatch batteries between battery charging stations (BCS) and battery swapping stations (BSS) efficiently. A two-direction battery dispatch model to reduce the transportation cost is established and solved by PSO method. Moreover, considering the serving ability limitations, the K-means clustering algorithm is utilized to pre-partition the BCS and BSS to make the battery dispatch more efficient and effective. The proposed methods is finally verified by an urban battery logistics case.
MR sand table: Mixing real-time video streaming in physical models

A novel prototype of MR (Mixed Reality) Sand Table is presented in this paper, that fuses multiple real-time video streaming into a physically united view. The main processes include geometric calibration and alignment, image blending and the final projection. Firstly we proposed a two-step MR alignment scheme which estimates the transform matrix between input video streaming and the sand table for coarse alignment, and deforms the input frame using moving least squares for accurate alignment. To overcome the video border distinction problem, we make a border-adaptive image stitching with brightness diffusion to merge the overlapping area. With the projection, the video area can be mixed into the sand table in real-time to provide a live physical mixed reality model. We build a prototype to demonstrate the effectiveness of the proposed method. This design could also be easily extended to large size with help of multiple projectors. The system proposed in this paper supports multiple user interaction in a broad area of applications such as surveillance, demonstration, action preview and discussion assistances.
Kafkaesque worlds in real time

We read in a linear fashion, page by page, and we seem also to experience the world around us thus, moment by moment. But research on visual perception shows that perceptual experience is not pictorially representational: it does not consist in a linear, cumulative, totalizing process of building up a stream of internal picture-like representations. Current enactive, or sensorimotor, theories describe vision and imagination as operating through interactive potentiality. Kafka’s texts, which evoke perception as non-pictorial, provide scope for investigating the close links between vision and imagination in the context of the reading of fiction. Kafka taps into the fundamental perceptual processes by which we experience external and imagined worlds, by evoking fictional worlds through the characters’ perceptual enaction of them. The temporality of Kafka’s narratives draws us in by making concessions to how we habitually create ‘proper’, linear narratives out of experience, as reflected in traditional Realist narratives. However, Kafka also unsettles these processes of narrativization, showing their inadequacies and superfluities. Kafka’s works engage the reader’s imagination so powerfully because they correspond to the truth of perceptual experience, rather than merely to the fictions we conventionally make of it. Yet these texts also unsettle because we are unused to thinking of the real world as being just how these truly realistic, Kafkaesque worlds are: inadmissible of a complete, linear narrative, because always emerging when looked for, just in time.
Powerless Language Markers and the Correspondence Bias

The present research examines the effect of tag questions and hedges on attributions of a target's attitude and the confidence related to the target's behavior (i.e., writing a message). In Study 1, a message containing tag questions and hedges attenuated the correspondence bias when the target was constrained in his or her behavior. This attenuation was mediated by participants' perceptions of the target's confidence in his or her attitude toward the message topic. Study 2 replicated the attenuation effect and found attitudinal confidence rather than general confidence mediated the attenuation. It was further found that tag questions (rather than hedges) were responsible for the bias attenuation (Study 3), which was again mediated by participants' perceptions of the target's confidence.
Write the Power

This bitter gibe at the failure of the transcendent to make a direct mark on society can be applied to many contexts; I want to let Cage's use of lines suggest poetry in place of heaven: not a surprising substitution, as poets have claimed a direct access to the divine for millennia. The joke would then illustrate a common gripe poets have about the hegemony of criticism and the marginalization of poetry within the academy. But not all poets accept their heavenly, marginal position. I will examine language writing, specifically the work of Charles Bernstein; and I will turn briefly to the work of the Caribbean poet Edward Kamau Brathwaite as something of a counterexample. In both cases, poetry and theory, nonsense and explanation, febrility and power will turn out to be deeply intermixed. As a token of this intermingling, I want to point out that, though Cage's lines seem to valorize heaven, the frame "Ramakrishna said" makes the lines themselves into a mini-lecture.
Violence on the US–Mexico border and the capital students use in response

Recent studies have identified multiple forms of capital that Latino students acquire in their homes and communities. Influenced by these studies, this article examines how transnational students of Mexican origin use various forms of their community’s cultural wealth as tools to survive situations of violence in Mexico. In this article, we present how children experience violence, particularly drug-related violence across the border. We also discuss the ways in which the students’ resiliency (resistant capital) helps them in their daily lives. We focus on how students, despite their experience with violence, draw on their border rootedness, on transnational knowledge, and on resilient resistant capital in order to meaningfully participate in an elementary school English–Spanish dual language immersion program.
Polarization or bridging? Responses of Muslim and non-Muslim organizations to criticism of Islam in the Netherlands

Since the beginning of the twenty-first century, Islam has been a target of harsh criticism in the Netherlands, as in many other European countries. This article examines and analyses the way leaders of 10 Muslim and 11 non-Muslim organizations responded to criticism of Islam in the Netherlands in the period 2004–10. The focus is on the response to five episodes: the film Submission (2004), the Danish Cartoon Affair (2005–2006), the film Fitna (2008), the Internet film An interview with Mohammed (2008) and the Swiss ban on the building of minarets (2009). Several specific patterns of response are noted. The responses of Muslim organizations vary from resignation to defensive to offensive, and those of non-Muslim organizations from supportive to critical. These patterns are strongly linked to the organizations' leaders' framing of the situation, including the incidents themselves and other organizations, and their own mission and strategy, as well as, in the case of Fitna, to the policy of the Dutch government. All the organizations researched reject extreme forms of polarization and the mainstream Christian, Islamic and Jewish organizations in particular have strengthened their mutual ties in response to expressions of criticism of Islam.
A Primary- and Second-Order Component Analysis of the Organizational Identification Questionnaire

This study examined the factor structure of the Organizational Identification Question-naire (OIQ), the most widely used instrument today for the assessment of organizational identification. An analysis of a sample of social service employees in the southwestern United States (N = 369) yielded four first-order and two second-order components. This study contributes to the research literature pertaining to the structure of the OIQ.
The Influence of Reflective Opposite-Sex Norms and Importance of Opposite-Sex Approval on Adjudicated Student Drinking: Theoretical Extensions and Implications

This study examines the salience and influence of reflective norms regarding opposite- sex friends, dating, and sexual partners on drinking behaviors of heterosexual college students sanctioned for violating the campus alcohol policy (i.e., adjudicated students). Results revealed that the level of importance placed on approval from the opposite sex is an important moderator for women but not for men. Selectively augmenting existing adjudicated student interventions with reflective normative feedback may be an effective intervention approach.
Correlates of Psychosocial Adjustment in Adolescents From Divorced Families

The study was designed to identify the factors which predict psychological adjustment among 15 to 18-year-old adolescents whose parents have divorced. Psychosocial adjustment was assessed by the Youth Self Report (Achenbach, 1978, 1991). Predictors included the type of custody arrangement, the psychological adjustment of the custodial parent, factors affecting the adolescent's relationship with the non-custodial parent, demographic characteristics, stressful life events during the two years following the divorce, availability of social support, and family adaptability and cohesion. New York City high school students from divorced (n = 221) and intact (n = 215) families completed the survey instrument. Results indicated that the adjustment of adolescents from divorced families was related positively to the psychological adjustment of the custodial parent, the availability of social support, and family adaptability and cohesion. Adolescent adjustment was related negatively to the degree to which the parents.
Competition matters: Species interactions prolong the long‐term effects of pulsed toxicant stress on populations

Recent empirical studies have revealed the importance of species competition for the effects of toxicants on populations. In the present study, the authors applied a generic individual‐based simulation model of 2 competing species to analyze the consequences of interspecific competition for population dynamics under pulsed contamination. The results indicated that competition that causes a density‐dependent decrease in reproduction can substantially prolong the long‐term effects of the toxicant. In the example investigated, population recovery time increased from approximately 1 generation time without competition to more than 3 generation times under competition. In particular, species with low reproductive capacity exhibited a strongly prolonged recovery time when interspecific competition was included in the model. The authors conclude that toxicant concentrations derived from risk assessments for pesticides that do not consider competition might be under‐protective for populations in real‐world systems. The consideration of competition is especially relevant for species with low reproductive capacities to enable a realistic estimation of recovery pace. Environ Toxicol Chem 2014;33:1458–1465. © 2013 SETAC
Contextual Pattern Discovery in Ambient Intelligent Application

Ambient Intelligence(Aarts, Harwig and Schuurmans, 2001) contributes by enriching the oil and gas environment with technology (mainly sensors and devices interconnected through a network) and built a system to help plant operators to make decisions based on real-time information gathered and historical data accumulated. Ambient Intelligence puts together all these resources to provide flexible and intelligent services to users acting in their environment. Besides, Information Fusion (Llinas, 2002) studies theories and methods to effectively combine data from multiple sensors and related information to achieve more specific inferences that could be achieved by using a single, independent sensor. Information fused from sensors and data mining analysis has recently attracted the attention of the research community for real-world applications. In this sense, the deployment of an ambient intelligent offshore petroleum environment will help to figure out a risky scenario based on the events occurred in the past related to anomalies and the profile of the current employee (role, location, etc.). In this paper we propose an information fusion model for an ambient intelligent oil environment in which employees are alerted about possible risk situations while their are moving around their working place. The layered architecture, implements a reasoning engine capable of intelligently filtering the context profile of the employee (role, location) for the feature selection of an inter-transaction mining process. Depending on the employee contextual information he will receive intelligent alerts based on the prediction model that use his role and his current location. This model provides the big picture about risk analysis for that employee at that place in that moment.
Breaking the polar‐nonpolar division in solvation free energy prediction

Implicit solvent models divide solvation free energies into polar and nonpolar additive contributions, whereas polar and nonpolar interactions are inseparable and nonadditive. We present a feature functional theory (FFT) framework to break this ad hoc division. The essential ideas of FFT are as follows: (i) representability assumption: there exists a microscopic feature vector that can uniquely characterize and distinguish one molecule from another; (ii) feature‐function relationship assumption: the macroscopic features, including solvation free energy, of a molecule is a functional of microscopic feature vectors; and (iii) similarity assumption: molecules with similar microscopic features have similar macroscopic properties, such as solvation free energies. Based on these assumptions, solvation free energy prediction is carried out in the following protocol. First, we construct a molecular microscopic feature vector that is efficient in characterizing the solvation process using quantum mechanics and Poisson–Boltzmann theory. Microscopic feature vectors are combined with macroscopic features, that is, physical observable, to form extended feature vectors. Additionally, we partition a solvation dataset into queries according to molecular compositions. Moreover, for each target molecule, we adopt a machine learning algorithm for its nearest neighbor search, based on the selected microscopic feature vectors. Finally, from the extended feature vectors of obtained nearest neighbors, we construct a functional of solvation free energy, which is employed to predict the solvation free energy of the target molecule. The proposed FFT model has been extensively validated via a large dataset of 668 molecules. The leave‐one‐out test gives an optimal root‐mean‐square error (RMSE) of 1.05 kcal/mol. FFT predictions of SAMPL0, SAMPL1, SAMPL2, SAMPL3, and SAMPL4 challenge sets deliver the RMSEs of 0.61, 1.86, 1.64, 0.86, and 1.14 kcal/mol, respectively. Using a test set of 94 molecules and its associated training set, the present approach was carefully compared with a classic solvation model based on weighted solvent accessible surface area. © 2017 Wiley Periodicals, Inc.
Does classroom composition make a difference: effects on developments in motivation, sense of classroom belonging, and achievement in upper primary school

The present study investigated the effects of socioeconomic and ethnic classroom composition on developments in students’ motivation, sense of classroom belonging, and achievement. A sample of 722 primary school students completed questionnaires from 3rd to 6th grade. Latent growth curve analyses revealed that the reading comprehension scores of students with a low socioeconomic status (SES) were lower for each measurement in more socioeconomically disadvantaged classes, whereas these scores were higher in classes with more ethnic minority students. In practice, these effects may often cancel each other out. Furthermore, in classes with a high share of low-SES or ethnic minority students, students of all backgrounds showed more positive developments in motivation. These findings contradict commonly held fears that disadvantaged students “bring down” other students in the classroom. The results furthermore highlight the importance of studying longitudinal developments.
REPRINTS: Effects of an Intergenerational Health Promotion Program for Older Adults in Japan

We launched a new intervention study called REPRINTS in which senior volunteers engaged in reading picture books to children. Sixty-nine volunteers and 72 participants in a control group, all aged 60 years and over, living in three urban locations, participated in a baseline health checkup in June 2004. After completion of a three-month training seminar, volunteers visited public elementary schools and kindergartens in groups of 6 to 10 for an 18 month period. They were assessed again by a follow-up health checkup in March 2006. At the follow-up, social network scores (frequency of contact with grandchildren and others around the neighborhood) and self-rated health improved or was maintained at a significantly higher rate for the 37 individuals volunteering most intensively as compared to those who did not volunteer or volunteered minimally. In conclusion, through intensively being engaged in the intergenerational volunteer programs during 21 months, self-rated health and social networks were more likely to improve or be maintained among senior volunteers than controls.