Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-disclosure topic model for Twitter conversations

Self-disclosure, the act of revealing oneself to others, is an important social behavior that contributes positively to intimacy and social support from others. It is a natural behavior, and social scientists have carried out numerous quantitative analyses of it through manual tagging and survey questionnaires. Recently, the flood of data from online social networks (OSN) offers a practical way to observe and analyze self-disclosure behavior at an unprecedented scale. The challenge with such analysis is that OSN data come with no annotations, and it would be impossible to manually annotate the data for a quantitative analysis of self-disclosure. As a solution, we propose a semi-supervised machine learning approach, using a variant of latent Dirichlet allocation for automatically classifying self-disclosure in a massive dataset of Twitter conversations. For measuring the accuracy of our model, we manually annotate a small subset of our dataset, and we show that our model shows significantly higher accuracy and F-measure than various other methods. With the results our model, we uncover a positive and significant relationship between self-disclosure and online conversation frequency over time.
Discovery of [FeII]- and H 2 -emission from protostellar jets in the CB3 and CB230 globules

Four Bok globules were studied in the Near-Infrared, through narrow-band filters, centered at the 1.644 μm line of [Fell], the H 2 -line at 2.122 μm, and the adjacent continuum. We report the discovery of [Fell] and H 2 protostellar jets and knots in the globules CB3 and CB230. The [Fell]-jet in CB230 is defined by a continuous elongated emission feature, superimposed on which two knots are seen; the brighter one lies at the tip of the jet. The jet is oriented in the same direction as the large-scale CO outflow, and emerges from the nebulosity in which a Young Stellar Object is embedded. The H 2 emission associated with this jet is fainter and wider than the [FeII] emission, and is likely coming from the walls of the jet-channel. In CB3 four H 2 emission knots are found, all towards the blue-shifted lobe of the large-scale outflow. There is a good correspondence between the location of the knots and the blue-shifted SiO(5-4) emission, confirming that SiO emission is tracing the jet-like flow rather well. No line emission is found in the other two targets, CB188 and CB205, although in CB205 faint line emission may have been hidden in the diffuse nebulosity near the IRAS position. Around this position a small group of (≥10) stars is found, embedded in the nebula. A diffuse jet-like feature near this group, previously reported in the literature, has been resolved into individual stars.
Cytogenetic changes in rat tracheal epithelial cells during early stages of carcinogen-induced neoplastic progression.

The cytogenetic changes in enhanced growth (EG) variants of rat tracheal epithelial cells in culture were examined. These variants which are detectable at 35 days after carcinogen exposure are the first phenotypic alteration in the multistep neoplastic process studied in this model system. Karyotypic analysis of N-methyl-N'-nitro-N-nitrosoguanidine-induced EG variants at Day 35 was made possible by the development of an in situ method of cytogenetic analysis on intact colonies containing too few cells for conventional chromosome preparation methods. Of the transformed EG variant colonies in both control and N-methyl-N'-nitro-N-nitrosoguanidine-treated groups, 62-78% had abnormal karyotypes which included numerical and structural changes. There were no specific chromosome changes, although aberrations of chromosomes 3 and 4 were recurrently observed. However, some colonies of even the most morphologically transformed EG variants were composed of only diploid cells. To confirm this finding 10 EG variant colonies were bisected and half of the clone was prepared for chromosome analysis and the other half was subcultured to measure the clonogenicity and karyotypes of the cells. Cells from 3 colonies plated very poorly on 3T3 feeders and therefore no karyotypic analysis of the colony-forming cells was possible; the cells of the 3 parental colonies were diploid. Three other parental colonies were predominantly diploid (80-90%) but upon replating the resultant daughter colonies had progressively smaller fractions of diploid cells indicating a selection for cells with abnormal karyotypes. When more selective conditions were used (i.e., growth after removal of the feeder cells), the percentage of abnormal cells increased even further. In one case the parental cells had a karyotypic alteration in the long arm of chromosome 4 and this karyotypic alteration was accentuated in the daughter colonies. Thus, selection of cells with increased growth ability upon subculturing or growth in the absence of feeder cells (properties associated with the acquisition of immortality) resulted in concomitant selection for cells with abnormal karyotypes. Since some of the carcinogen-induced rat tracheal epithelial cells expressing the EG variant phenotype were diploid, it is possible that the first step in this transformation process is an epigenetic change. However, most of the diploid cells became terminal. The aneuploid subpopulations present in these colonies have a selective growth advantage and comprise the cell compartment that expresses continued growth, immortality, and ultimately tumorigenicity.
Supporting Students in Making Sense of Connections and in Becoming Perceptually Fluent in Making Connections Among Multiple Graphical Representations

Prior research shows that multiple representations can enhance learning, provided that students make connections among them. We hypothesized that support for connection making is most effective in enhancing learning of domain knowledge if it helps students both in making sense of these connections and in becoming perceptually fluent in making connections. We tested this hypothesis in an experiment with 428 4th- and 5th-grade students who worked with different versions of an intelligent tutoring system for fractions learning. Results did not show main effects for sense-making or fluency-building support but an interaction effect, such that a combination of sense-making and fluency-building support is most effective in enhancing fractions knowledge. Causal path analysis of log data from the system shows that sense-making support enhances students’ benefit from fluency-building support, but fluency-building support does not enhance their benefit from sense-making support. Our results suggest that both understanding of connections and perceptual fluency in connection making are critical aspects of learning of domain knowledge with multiple graphical representations. Findings from the causal path analysis lead to the testable prediction that instruction should provide sense-making support and fluency-building support for connection making.
A model-based characterization of the long-term asymptotic behavior of nonlinear discrete-time processes using map invariance

The present research work proposes a new approach to the problem of quantitatively characterizing the long-term dynamic behavior of nonlinear discrete-time processes. The formulation of the problem of interest can be naturally realized through a system of nonlinear functional equations (NFEs), for which a rather general set of conditions for the existence and uniqueness of a locally analytic solution is derived. The solution to the system of NFEs is then proven to represent a locally analytic invariant manifold for the nonlinear discrete-time process of interest. The local analyticity property of the invariant manifold map enables the development of a series solution method for the above system of NFEs, which can be easily implemented using MAPLE. Under a certain set of conditions, it is shown that the invariant manifold attracts all system trajectories, and therefore, the long-term dynamic behavior is determined through the restriction of the discrete-time process dynamics on the invariant manifold.
Competitive Ability and Fitness Differences between Two Introduced Populations of the Invasive Whitefly Bemisia tabaci Q in China

Background Our long-term field survey revealed that the Cardinium infection rate in Bemisia tabaci Q (also known as biotype Q) population was low in Shandong, China over the past few years. We hypothesize that (1) the Cardinium-infected (C +) B. tabaci Q population cannot efficiently compete with the Cardinium-uninfected (C −) B. tabaci Q population; (2) no reproductive isolation may have occurred between C + and C −; and (3) the C − population has higher fitness than the C + population. Methodology and Results To reveal the differences in competitive ability and fitness between the two introduced populations (C + and C −), competition between C + and C − was examined over several generations. Subsequently, the reproductive isolation between C + and C − was studied by crossing C + with C − individuals, and the fitnesses of C + and C − populations were compared using a two-sex life table method. Our results demonstrate that the competitive ability of the C + whiteflies was weaker than that of C −. There is that no reproductive isolation occurred between the two populations and the C − population had higher fitness than the C + population. Conclusion The competitive ability and fitness differences of two populations may explain why C − whitefly populations have been dominant during the past few years in Shandong, China. However, the potential role Cardinium plays in whitefly should be further explored.
A literature review on vehicular Adhoc Network for intelligent transport

VANETS are a sub area of MANETS (is Mobile Ad hoc Networks that can configure itself without wires) where the dynamic ad hoc network is composed of vehicles as nodes. Vehicles utilizing wireless communication capabilities are termed as “computers networks on wheels” having data sharing capabilities. Vehicles can obtain either information from Road side base station or rely upon other vehicles for information to provide road safety travelers comfort. This paper presents various aspects of VANET to help researchers to understand and distinguish its Architecture, Characteristics, Challenges and Applications from MANETS in one solid document and show that active research efforts are made to make VANET.
Continuous Monitoring Using Event-Driven Reporting for Cluster-Based Wireless Sensor Networks

Continuous-monitoring applications are an important class of wireless sensor network (WSN) applications. These applications require periodic refreshed data information at the sink nodes. To date, this entails the need for the sensor nodes to continuously transmit in a periodic fashion to the sink nodes, which may lead to excessive energy consumption. In this paper, we show that continuous monitoring does not necessarily imply continuous reporting. Instead, we demonstrate that we can achieve continuous monitoring using an event-driven reporting approach. Building on this idea, we propose two new mechanisms that enable energy conservation in continuous-monitoring WSNs. The first mechanism can augment any existing protocol, whereas the second mechanism is conceived for cluster-based WSNs. With both mechanisms, sensor nodes only transmit information whenever they sense relevant data. To evaluate the efficiency of our proposals, the basic unscheduled transmission model and three well-known cluster-based protocols are used as baseline examples. In particular, new analytical models for conventional cluster-based systems and for our approach-enabled systems are complemented by simulations to present a quantified perspective of the potential benefits of the proposed reporting technique. We prove that significant energy conservation can be achieved using our reporting approach.
Classification of Model Transformation Approaches

The Model-Driven Architecture is an initiative by the Object Management Group to automate the generation of platform-specific models from platformindependent models. While there exist some well-established standards for modeling platform models, there is currently no matured foundation for specifying transformations between such models. In this paper, we propose a possible taxonomy for the classification of several existing and proposed model transformation approaches. The taxonomy is described with a feature model that makes the different design choices for model transformations explicit. Based on our analysis, we propose a few major categories in which most model transformation approaches fit.
Combined gestures and auditory-verbal training for comprehension and production of verbs in deaf children

Objective: An important factor determining the efficacy of speech therapy for children with severe hearing loss is the type and the method of educating children in the use of speech language items. Given the shortage of golden time for language learning, it is necessary to use efficient speech therapy approaches for improving the language of the child. The aim of this study was to investigate the effect of adding gestures to auditory-verbal training (AVT) in speech therapy for children with severe hearing loss. Methods: In this double-blinded clinical trial, 66 children with severe hearing loss were randomly assigned to two groups of 33 subjects. Receptive and expressive language competence for some simple Persian verbs was evaluated by the Newsha test. The AVT was accompanied by gesture for the intervention group and no accompanying gesture for the control group. Simple verbs include fifty early action words such as sit, run, hold, and go. Results: In both the experimental and control groups, a significant difference was observed for receptive language of simple verbs before and after the intervention (P = 0.001, P = 0.045). However, no significant difference was found before the intervention (P = 0.532), there was a significant difference between mean receptive score of the two groups after the intervention (P = 0.032). Conclusion: Adding gestures to AVT significantly changed the mean expressive score in 2-3-year-old children with severe hearing loss. But, both the synthetic approach and the AVT had the same degree of positive effect for education of receptive language of simple verbs for these children.
Computation of Semantic Number from Lexical, Morphological, and Conceptual Information

The distinction between singular and plural enters into linguistic phenomena such as morphology, lexical semantics, and agreement, and also must interface with perceptual and conceptual systems that assess numerosity in the world. Three experiments examined how the singular/plural distinction is extracted in real time from the morphological and lexical properties of visually presented words. In a Stroop-like task, Hebrew speakers were asked to determine the number of words presented on a computer screen (one or two) while ignoring their contents. People took longer to respond if the number of words was incongruent with their morphological number (e.g., they were slower to determine that one word was on the screen if it was plural, and in some conditions, that two words were on the screen if they were singular, compared to neutral letter strings), suggesting that the extraction of number from words is automatic and yields a representation comparable to the one computed by the perceptual system. In many conditions the interference occurred only with plural nouns, not singulars, consistent with the suggestion from linguistics that words lacking a plural affix are not actually singular in their semantics but unmarked for number. Interference by singular nouns occurs only in words whose meanings are inherently and saliently singular, such as “one” and “I. ” For similar reasons, interference by plural nouns is attenuated when the referents of the plural noun are homogeneous, which encourages people to think of them as a mass or collection rather than an aggregate of individuals. The computation of number, therefore, is sensitive to information in lexical entries, morphological inflections, and the conceptual representations of individuals, aggregates, collections, or masses.
Reliability Analysis of Bearing Capacity of Large-Diameter Piles under Osterberg Test

This study gives the reliability analysis of bearing capacity of large-diameter piles under osterberg test. The limit state equation of dimensionless random variables is utilized in the reliability analysis of vertical bearing capacity of large-diameter piles based on Osterberg loading tests. And the reliability index and the resistance partial coefficient under the current specifications are calculated using calibration method. The results show: the reliable index of large-diameter piles is correlated with the load effect ratio and is smaller than the ordinary piles; resistance partial coefficient of 1.53 is proper in design of large-diameter piles.
Active motion planning and collision avoidance for redundant manipulators

High-speed assembly makes strict demands on path and trajectory planning systems. In such systems the stages of path planning, trajectory planning, and 'low-level' control are normally separated, which admits functional simplicity but may not produce the most useful trajectories. Thus we have been exploring the possibility of merging the levels, by allowing the path planner to generate the trajectory information. By considering the 'active forces' that need to be generated by the robot's actuators we are also able to consider explicitly the robot's dynamics. We explain the approach and give some preliminary simulation results.
Research on Cloud Computing Security Platform

As a kind of new technology, cloud computing has become a study highlight in both industrial field and academic field. As the users have to save their data in the cloud to use cloud computing, the security of cloud could affect users' trust in cloud computing service directly. The thesis discusses the architecture and tier of cloud computing, analyzes the basic system structure of cloud computing platform, designs a security framework of cloud computing platform, describes the general process of such framework, and discusses the principal functions of the key modules.
Computing Elementary Flux Modes in Genome-scale Metabolic Networks

Elementary flux mode analysis (EFM analysis) is an important method in the study of biochemical pathways. However, the computation of EFMs is limited to small and medium size metabolic networks due to a combinatorial explosion in their number in larger networks. Additionally, the existing tools to compute EFMs require to enumerate all EFMs before selecting those of interest. The method presented here extends EFM analysis to genome-scale models. Instead of computing the entire set of EFMs an optimization problem is used to determine a single EFM. Coupled with a genetic algorithm (GA) this allows to explore the solution space and determine specific EFMs of interest. Applied to a network in which the set of EFMs is known our method was able to find all EFMs in two cases and in another case almost the entire set before aborted. Furthermore, we determined the parts of three metabolic networks that can be used to produce particular amino acids and found that these parts correspond to significant portions of the entire networks. Availability: Source code and an executable are available upon request.
A MODIFIED MULTINOMIAL LOGIT MODEL OF ROUTE CHOICE FOR DRIVERS USING THE TRANSPORTATION INFORMATION SYSTEM

EXTENDED ABSTRACT Due to the rapid advancements of computing, telecommunication and control technologies, the use of Transportation Information System (TIS) has become very popular. Under such system, the public would be able to obtain traffic and transport information in real time through private or public service providers via various means such as variable message signs, Internet, and mobile phones, etc. The amount of traffic information available to road users will definitely be much more than what we are experiencing now. However, while some of these services are free, many come with a price. As a result, the amounts of traffic information received by drivers on the road would vary a lot, depending on how much the drivers are willing to pay for the traffic information. How drivers with different degrees of uncertainty about traffic conditions make their route choice is an important and interesting issue. One immediate casualty of the popular use of the TIS is the multinomial logit model in the study of route choice of drivers. Up till now, the standard use of the multinomial logit model assumes that the degrees of knowledge of drivers about traffic conditions are similar and uniform across the whole population. This is because there is no parameter contained in the standard multinomial logit model that accounts for the knowledge of traffic conditions. If drivers on the road are with different degree of information about traffic conditions when the TIS is widely used, the assumption of a homogeneous population can no longer be valid and it is not appropriate to use a single multinomial logit model for all the drivers. This is because under such heterogeneous population, the degree of uncertainty about the traffic conditions among drivers varies and their choice data cannot be combined directly (Louviere et al . 2000). One approach that has been suggested to solve this problem is to use different multinomial logit models for multi-class drivers. However, this approach requires two assumptions to be satisfied: (i) drivers can be explicitly grouped into specific classes such as the class of private car drivers and the class of truck drivers etc. (ii) the classes are independent of each other so that separate estimates of parameters of the logit models are produced for each class. Both of
Estrategias para la motivación e integración en el primer año universitario: Innovación mediante resolución de problemas y trabajo colaborativo

Los alumnos que comienzan los estudios universitarios presentan en general algunas características (falta de hábitos y competencias) que suelen dificultar su desarrollo en un ámbito diferente y con otras formas de enseñanza-aprendizaje, pero hay dos elementos que pueden aportar positivamente en este proceso: la motivación y la integración de lo que se aprende en distintas asignaturas. En este trabajo se describe la estrategia desarrollada en un primer curso de Programación de Computadoras, apoyada en la resolución de problemas de ingeniería, donde los alumnos trabajan el problema a lo largo de todo el año, con un proyecto planteado en etapas. Si bien el objetivo final es desarrollar una aplicación informática, deben trabajar en búsqueda de información extracurricular, resignificando aprendizajes de distintos temas, construyendo herramientas que son de utilidad para otros estudiantes.