Miracle-dz/UniFAR-FTUs huggingface dataset:
Broadcasting information via display names in instant messaging

Many instant messenger (IM) clients let a person specify the identifying name that appears in another person's contact list. We have noticed that many people add extra information to this name as a way to broadcast information to their contacts. Twelve IM contact lists comprising 444 individuals were monitored over three weeks to observe how these individuals used and altered their display names. Almost half of them changed their display names at varying frequencies, where the new information fell into seventeen different categories of communication supplied to others. Three themes encompass these categories: Identification ("who am I"? ), Information About Self ("this is what is going on with me") and Broadcast Message ("I am directing information to the community"). The design implication is that systems supporting person to person casual interaction, such as IM, should explicitly include facilities that allow people to broadcast these types of information to their community of contacts.
Factor-Based Uyghur-Chinese Statistical Machine Translation

This paper is an initial explore to Uyghur-Chinese statistical machine translation. Uyghur and Chinese are very different from each other, the former is an agglutinative language with very productive inflectional and derivational word-formation processes, but the characters of the latter are almost hieroglyphics, morpheme processing doesn’t work at all. We integrate Uyghur additional information, such as, affixes, stems to statistical machine translation system, this is so-called factored model, which is an extension of the phrase-based approach. The experiments show that morphological strategies can effectively improve the performances of translation system.
Automatic Geo-Registration for Port Surveillance

This paper proposes a new solution to geo-register the nearly feature-less maritime video feeds. We detect the horizon using sizable or uniformly moving vessels, and estimate the vertical apex using water reflections of the street lamps. The computed horizon and apex provide a metric rectification that removes the affine distortions and reduces the searching space for geo-registration. Geo-registration is obtained by searching the best orientation where the estimated water masks on satellite images and camera views are matched. The proposed solution has the following contributions: first, water and coastlines are used as features for registration between horizontally looking maritime views and satellite images. Second, water reflections are proposed to estimate the vertical vanishing point. Third, we give algorithms for the detection of water areas in both satellite images and camera views. Experimental results and applications on cross camera tracking are demonstrated. We also discuss several observations, as well as limitations of the proposed approach.
A probabilistic method to detect regulatory modules

MOTIVATION The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. RESULTS We develop a computational method that uses Hidden Markov Models and an Expectation Maximization algorithm to detect such modules, given the weight matrices of a set of transcription factors known to work together. Two novel features of our probabilistic model are: (i) correlations between binding sites, known to be required for module activity, are exploited, and (ii) phylogenetic comparisons among sequences from multiple species are made to highlight a regulatory module. The novel features are shown to improve detection of modules, in experiments on synthetic as well as biological data.
The timeline as a programming interface

The task of implementing meaningful reactive behavior in mobile applications is not trivial. To abstract over platform-specific details while writing expressive and legible code, we've developed EveWorks, a framework for context awareness that interfaces with the rest of the application code through statements written in a simple, interpreted language. In this work, we explain the conceptualization that stands at the core of our framework's language, inspired by one of the most ubiquitous representations of temporality, the timeline.
Aspirations for Higher Education

This paper reports data from the first phase of a longitudinal study of the processes by which selected structural, social-psychological, and group variables influence the capacities and achievements in both educational and occupational spheres of a cohort of young people. A causal recursive path analytic model which hypothesizes both direct and indirect effects of social origins, schooling, the perceived influence of significant others, and self-assessment on aspirations for tertiary education is developed. The model is found to have more explanatory power for men than for women. For both groups the perceived influence of parents, teachers, and peers bears the major impact on aspiration formation. Social origins are more important in aspiration formation for women than for men although for both groups mediating and direct effects are observed. Schooling also has mediating effects for both groups and direct effects among men. It is concluded that, while the analysis provided strong support for crucial elements of the social-psychological theory of aspiration formation, there are linkages for status transmission not identified in the model.
An architecture for multi-lingual hands-free desktop control system for PC windows

Technology in the 21st century has achieved quantum leaps in serving many communities; from home, to school children, to government and municipalities, to nation. Personal computers (PC) have been central to these achievements and it is essential to facilitate their accessibility to people who have difficulties using the keyboard and mouse. In this work we present a framework for controlling the computer desktop with voice commands. This framework is based on PC Windows (Microsoft Windows XP) and it is language independent. The framework is tested for English (a Latin language) and Arabic (a semitic language). At the end of the paper we provide a comparison between this work and a similar work of windows Vista.
Helicobacter pylori and Migraine: Is Eradication of Helicobacter pylori Effective in Relief of Migraine Headache?

Article type: Original Article Background: Association between Helicobacter pylori (HP) infection and migraine and the effect of HP eradication on relief of migraine headache have been studied but the results are controversial. Objectives: To evaluate the effect of HP eradication in treatment of patients affected by migraine. Materials and Methods: Eighty consecutive HP infected patients affected by migraine without aura were enrolled in this clinical trial. They have referred to an endoscopy clinic for work-up of HP infection from October 2013 to November 2014. Patients were randomly assigned in 2 groups using 2 different regimens; Group A: migraine treatment and a 14-day triple therapy for HP infection and Group B: migraine treatment without HP eradication. The mean duration (hour), headache severity (MIDAS) and the frequency (per month) of clinical headache attacks were calculated upon enrollment in the study and at 6 months and 12 months after treatment. All data were analyzed using SPSS version 16. Comparison of categorical variables across the groups was performed using Chi-square test. Results: In group A, HP infection was eradicated in 34 of 40 patients (85%). After treatment in eradicated patients compared with the control group there was significant decrease in severity and frequency (but not in duration) of the migraine attacks at 6 months (p<0.001) and significant decrease in intensity, frequency and duration of the migraine attacks at 12 months (p<0.001). Conclusion: HP should be considered and examined in migranous patients and eradication treatment can be beneficial for relief of clinical attacks.
The Training Effect of Chinese Medicine Inspection Using Color Vision Test

Objective To quantify and evaluate the result of the application of Farnsworth-Munsell (FM) 100 Hue Test in training of Chinese medicine inspection skills. Methods 113 students in Beijing University of Chinese Medicine were selected as participants. FM 100 Hue Test was used to evaluate and train the students' color vision ability. The Testing Error Score (TES) and color discrimination before and after training were observed. Results Compared to before training, all participants' color vision ability were improved, TES were reduced significantly (P <; 0.01) after training. For those who scored excellent and average before training, their TES were improved significantly (P <; 0.01), and for those who scored poor before training managed to improve their TES to an average score (P <; 0.01). Conclusion FM 100 Hue Test could objectively evaluate and effectively improve the color discrimination of medicos. The result could be quantify and is reliable.
A Visual Sensing Approach to Estimate Material Hauling Cycles in Heavy Construction and Surface Mining Jobsites

Dump trucks are the main mean for hauling earth material within and outside of the construction and open-pit mining jobsites. The real-time monitoring of the material transportation trips is beneficial for proactive equipment management, volume estimation, and productivity measurement. The traditional manual observation is tedious, non-real-time, and expensive; therefore remote sensing technologies, namely GPS and RFID, have been employed for this reason. Ordinary construction videos are another costeffective alternative to monitor dirt loading and hauling operations in real-time. A vision-based system has been developed to recognize and count hauling trips. This system has three modules including object detection, tracking, and action recognition. This system processes videos taken from access roads in which it recognizes dump trucks and then tracks them throughout the viewfinder. The action recognition module is designed to reject false alarms and also terminate tracking. This way, the system is able to count the number of hauling trips and also record the time between each trip. Several state of the art computer vision algorithms were employed to develop this system. Some of these algorithms were modified using spatiotemporal information to minimize the inherent errors of the vision-based methods. The experimental results showed considerable performance of the system for practical application in the construction and mining sectors.
Children, smoking households and exposure to second-hand smoke in the home in rural Australia: analysis of a national cross-sectional survey

Objectives This paper aimed to explore the association between rurality and (1) household smoking status and (2) home second-hand smoke exposure, in households with children aged 0–14 years. Design Cross-sectional study. Setting Households across Australia. Participants Households across the country were randomly selected to provide a nationally representative sample. Respondents were persons aged 12 years or older in each household who were next going to celebrate their birthday. Primary outcome measures Household smoking status and smoking inside the home. Methodology The 2010 Australian National Drug Strategy Household survey data were analysed to explore the prevalence of household smoking and home second-hand smoke exposure in rural and urban households with children. Multivariable logistic regression was used to explore the association of rurality with household smoking and with home second-hand smoke exposure, controlling for potential confounders. Results Households with children were more likely to be smoking households (35.4%, 95% CI 34.2% to 36.5%) than households without children (32.1%, 95% CI 31.3% to 32.8%). Both household smoking (43.6% (95% CI 41.5% to 45.7%) vs 31.4% (95% CI 30.0% to 32.8%)) and home second-hand smoke exposure (8.0% (95% CI 6.8% to 9.1%) vs 5.2% (95% CI 4.5% to 5.8%)) were significantly more common for rural children. In multivariate analyses controlling for confounding factors, rurality remained associated with smoking households (OR 1.21, 95% CI 1.07 to 1.37), whereas it did not remain associated with children's home second-hand smoke exposure (OR 1.07, 95% CI 0.85 to 1.35). Larger household size, low socioeconomic status and being a single-parent household were the main drivers of home second-hand smoke exposure. Conclusions The proportion of smoking households with children, and the number of children regularly exposed to second-hand smoke in their homes remain important public health concerns. Smoking cessation support and tobacco control policies might benefit from targeting larger and/or socioeconomically disadvantaged households including single-parent households.
Using A* for the parallelization of speech recognition systems

The speed of modern processors has remained constant over the last few years but the integration capacity continues to follow Moore's law and thus, to be scalable, applications must be parallelized. This paper presents results in using the A* search algorithm in a large vocabulary speech recognition parallel system. This algorithm allows better parallelization over the Viterbi algorithm. First experiments with a “unigram approximation” heuristic resulted in approximatively 8.7 times less states being explored compared to our classical Viterbi decoder. The multi-thread implementation of the A* decoder led to a speed-up factor of 3 over its sequential counterpart.
Study of two robust controls for an hydraulic actuator

Two robust control design methodologies are analyzed and compared in this article: the H-infinity control system design and the CRONE control system design. The aim of this article is to give practical considerations that will help a designer to choose between these two methodologies. The example of an electrohydraulic actuator is given in order to evaluate the implementation of each methodology and to compare the final performance.
Characterization of energy response for photon-counting detectors using x-ray fluorescence.

PURPOSE To investigate the feasibility of characterizing a Si strip photon-counting detector using x-ray fluorescence. METHODS X-ray fluorescence was generated by using a pencil beam from a tungsten anode x-ray tube with 2 mm Al filtration. Spectra were acquired at 90° from the primary beam direction with an energy-resolved photon-counting detector based on an edge illuminated Si strip detector. The distances from the source to target and the target to detector were approximately 19 and 11 cm, respectively. Four different materials, containing silver (Ag), iodine (I), barium (Ba), and gadolinium (Gd), were placed in small plastic containers with a diameter of approximately 0.7 cm for x-ray fluorescence measurements. Linear regression analysis was performed to derive the gain and offset values for the correlation between the measured fluorescence peak center and the known fluorescence energies. The energy resolutions and charge-sharing fractions were also obtained from analytical fittings of the recorded fluorescence spectra. An analytical model, which employed four parameters that can be determined from the fluorescence calibration, was used to estimate the detector response function. RESULTS Strong fluorescence signals of all four target materials were recorded with the investigated geometry for the Si strip detector. The average gain and offset of all pixels for detector energy calibration were determined to be 6.95 mV/keV and -66.33 mV, respectively. The detector's energy resolution remained at approximately 2.7 keV for low energies, and increased slightly at 45 keV. The average charge-sharing fraction was estimated to be 36% within the investigated energy range of 20-45 keV. The simulated detector output based on the proposed response function agreed well with the experimental measurement. CONCLUSIONS The performance of a spectral imaging system using energy-resolved photon-counting detectors is very dependent on the energy calibration of the detector. The proposed x-ray fluorescence technique offers an accurate and efficient way to calibrate the energy response of a photon-counting detector.
Knowledge Base Augmentation using Tabular Data

Large linked data repositories have been built by leveraging semi-structured data in Wikipedia (e.g., DBpedia) and through extracting information from natural language text (e.g., YAGO). However, the Web contains many other vast sources of linked data, such as structured HTML tables and spreadsheets. Often, the semantics in such tables is hidden, preventing one from extracting triples from them directly. This paper describes a probabilistic method that augments an existing knowledge base with facts from tabular data by leveraging a Web text corpus and natural language patterns associated with relations in the knowledge base. A preliminary evaluation shows high potential for this technique in augmenting linked data repositories.
SIMULATION OF BIODIESEL PRODUCTION BY TRANSESTERIFICATION OF VEGETABLE OILS

This work presents an ChemCAD 6.0 Simulation study for biodiesel production. The simulation illustrates the produc tion of biofuel from pure vegetable oil with an alkaline catalyst. The main areas are transesterification, methanol separation, water washing, FAME purification, catalyst neutralization and glycerol purification. The equipment used includes in particular reactors, distillation and extraction columns and components splitters. As a result of the simulation, the two final target prod ucts - biodiesel and glycerol, are obtained with purity 98 % and 99 %, respectively. The suggested technological scheme provides a possibility for recuperation of the heat streams.
A Framework for Optimal Sequential Planning in Multiagent Settings

Introduction Research in autonomous agent planning is gradually moving from single-agent environments to those populated by multiple agents. In single-agent sequential environments, partially observable Markov decision processes (POMDPs) provide a principled approach for planning under uncertainty. They improve on classical planning by not only modeling the inherent non-determinism of the problem domain, but also by producing ”universal” plans or policies which represent complete control mechanisms. We are motivated by these reasons to generalize POMDPs from their traditional single-agent application setting to an environment populated by several interacting autonomous agents. The formalism of Markov decision processes has been extended to multiple agents previously, giving rise to stochastic games or Markov games. Other extensions of POMDPs to multiple agent environments have also appeared and are called DEC-POMDPs (Bernstein et al. 2002) in the literature. Both these formalisms employ the solution concept of Nash equilibria. Specifically, solutions are plans (policies) that are in mutual equilibrium with each other. However, while Nash equilibria are useful for describing a multiagent system when, and if, it has reached a stable state, this solution concept is not sufficient as a general control paradigm. The main reasons are that there may be multiple equilibria with no clear way to choose among them (nonuniqueness), and the fact that equilibria do not specify actions in cases in which agents believe that other agents may not act according to their equilibrium strategies (incompleteness). Furthermore, at present, researchers have inadequate understanding of the intermediate stages before Nash equilibrium is reached. In this thesis, we present a new framework called Interactive POMDPS (I-POMDPs) for optimal planning by an agent interacting with other autonomous agents in a sequential environment and maximizing its reward that depends on joint actions of all agents. As expected, the generalization of POMDPs from a single-agent setting to multiple agents is not trivial. In addition to maintaining beliefs about the physical environment, each agent must also maintain beliefs about the other agents: their sensing capabilities, be-
An Efficient Routing Mechanism Based on Heading Angle

The aim of this paper is to develop an efficient routing mechanism based on heading angle to establish connections. This can be done by prevent unessential links to be established between each pair of nodes that form the connection between the source and the destination. The unessential links represent the fragile links which could be broken easily according to the arbitrary movement of the nodes. This work enhanced the previous work on heading angle where connections requests are served under FCFS [14] where as the current work restrict the range to consider for routing. We measure the performance of the proposed approach by evaluating it against the enhanced ad-hoc on demand distance vector (EAODV) routing protocol. The simulation results reveal that the proposed approach demonstrates better performance than EAODV for all scenarios using the Random Waypoint mobility model. Numerical result demonstrates the performance. The result show the average values based on 50 simulations runs.
Evaluation of intrinsic parameter fluctuations on 45, 32 and 22nm technology node LP N-MOSFETs

The quantitative evaluation of the impact of key sources of statistical variability (SV) are presented for LP nMOSFETs corresponding to 45 nm, 32 nm and 22 nm technology generation transistors with bulk, thin body (TB) SOI and double gate (DG) device architectures respectively. The simulation results indicate that TBSOI and DG are not only resistant to random dopant induced variability, but also are more tolerant to line edge roughness induced variability. Even two technology generations ahead from their bulk counterparts, DG MOSFETs will still have 4 times less variability than bulk devices.