Miracle-dz/UniFAR-FTUs huggingface dataset:
Checking translations for inconsistency - a tool for the editor

Being consistent in technical translations is difficult. Using translation memory software could be one remedy, but the effectiveness of these tools rests on the assumption that most repeated source sentences correspond isomorphically to repeated target sentences. With the help of a discrepancy tool to identify inconsistencies between source and target texts, data from translations made manually and with the aid of translation memories are presented. Apart from being used as a verification tool at the postediting phase of a translation project, the discrepancy tool will measure the relative efficiency of the use of translation memory tools, as well as identify possible shortcomings with the source text.
Comparison of the UAV adaptive control with the robust control based on mu-synthesis

In this paper, dynamic model of the flying-wing UAV in the roll channel was estimated from the flight-test data based upon the method of regularized recursive least squares algorithm. Flight-test data were obtained for the closed-loop system with PID controller. Then adaptive control system was synthesized based upon the Tikhonov's regularization method and the maximum principle. On the other hand, the linear model for the roll channel was determined, and robust control was synthesized based upon the mu-synthesis method. A comparative analysis of these two methods of control synthesis was done in the presence of various uncertainties and external disturbances and constraints on the control signal. The results showed that increasing of the range of changes for the airspeed and roll angle increases non-linearity of the system and affects the efficiency and performance of the robust control based upon mu-synthesis technology. Thus, the adaptive control is advisable to apply to the systems with a large range of parameter changes in order to avoid the sustainable oscillations in system.
Tuberculosis Acquired Outside of Households, Rural Vietnam

Using population-based data from rural Vietnam, we assessed tuberculosis (TB) transmission within and outside of households. Eighty-three percent of persons with recent household TB were infected by different strains of Mycobacterium tuberculosis than were their household members. This result argues against the effectiveness of active TB case finding among household members.
Antibody responsiveness during immunization and challenge of genetically modified antibody responder mice with murine hepatitis virus 3

Summary The aim of this study was to evaluate some immunological patterns involved in natural and acquired resistance against MHV3 using the original model of genetically modified lines of mice selected for high (HIII) and low (LIII) antibody responsiveness. As previously shown, a lower pre-existing anti-MHV antibody level was found in susceptible HIII mice as compared to resistant LIII mice. Mortality rates of the F1 (H×L) hybrids and F2 and backcross segregants reflected co-dominance of both characters and the survivors had higher pre-existing anti-MHV antibody titers. The present data show that both lines had the potential to synthesize antibodies and that the resistance acquired by the susceptible HIII mice paralleled the antibody synthesis. Nevertheless, higher antibody titers were necessary to confer resistance in HIII mice than in LIII ones. When compared to uvMHV3, a single immunization with a related infectious MHV strain induced a higher antibody synthesis and led the HIII mice to resist the MHV3 challenge. A direct correlation between the antibody level and resistance to infection was always observed in HIII mice. Although mounting a Th2 response as indicated by IgG1 responses, they were also able to readily synthesize large amounts of IgG2a antibodies after immunization or during infection, reflecting a Th1 response. The transfer of anti-MHV antibodies to susceptible HIII mice was capable of conferring resistance to MHV3, providing the antibodies were present before virus infection and in large amounts. The resistance and the survival time of these animals increased with the level of antibody administered. If these direct and clear data suggest that HIII mice can acquire resistance through antibodies, the basis of the resistance of the resistant LIII mice may rely on mechanisms less dependent on antibodies.
OFDM channel estimation based on Adaptive Thresholding for Sparse Signal Detection

Wireless OFDM channels can be approximated by a time varying filter with sparse time domain taps. Recent achievements in sparse signal processing such as compressed sensing have facilitated the use of sparsity in estimation, which improves the performance significantly. The problem of these sparse-based methods is the need for a stable transformation matrix which is not fulfilled in the current transmission setups. To assist the analog filtering at the receiver, the transmitter leaves some of the subcarriers at both edges of the bandwidth unused which results in an ill-conditioned DFT submatrix. To overcome this difficulty we propose Adaptive Thresholding for Sparse Signal Detection (ATSSD). Simulation results confirm that the proposed method works well in time-invariant and specially time-varying channels where other methods may not work as well.
When the Herd Is Smart: Aggregate Behavior in the Selection of Job Request

In most parallel supercomputers, submitting a job for execution involves specifying how many processors are to be allocated to the job. When the job is moldable (i.e., there is a choice on how many processors the job uses), an application scheduler called SA can significantly improve job performance by automatically selecting how many processors to use. Since most jobs are moldable, this result has great impact to the current state of practice in supercomputer scheduling. However, the widespread use of SA can change the nature of workload processed by supercomputers. When many SAs are scheduling jobs on one supercomputer, the decision made by one SA affects the state of the system, therefore impacting other instances of SA. In this case, the global behavior of the system comes from the aggregate behavior caused by all SAs. In particular, it is reasonable to expect the competition for resources to become tougher with multiple SAs, and this tough competition to decrease the performance improvement attained by each SA individually. This paper investigates this very issue. We found that the increased competition indeed makes it harder for each individual instance of SA to improve job performance. Nevertheless, there are two other aggregate behaviors that override increased competition when the system load is moderate to heavy. First, as load goes up, SA chooses smaller requests, which increases efficiency, which effectively decreases the offered load, which mitigates long wait times. Second, better job packing and fewer jobs in the system make it easier for incoming jobs to fit in the supercomputer schedule, thus reducing wait times further. As a result, in moderate to heavy load conditions, a single instance of SA benefits from the fact that other jobs are also using SA.
Chapter XXI Using Action-Object Pairs as a Conceptual Framework for Transaction Log Analysis

In this chapter, we present the action-object pair approach as a conceptual framework for conducting transaction log analysis. We argue that there are two basic components in the interaction between the user and the system recorded in a transaction log, which are action and object. An action is a specific expression of the user. An object is a self-contained information object, the recipient of the action. These two components form one interaction set or an action-object pair. A series of action-object pairs represents the interaction session. The action-object pair approach provides a conceptual framework for the collection, analysis, and understanding of data from transaction logs. We believe that this approach can benefit system design by providing the organizing principle for implicit feedback and other interactions concerning the user and delivering, for example, personalized service to the user based on this feedback. Action-object pairs also provide a worthwhile approach to advance our theoretical and conceptual understanding of transaction log analysis as a research method.
Meta-analysis reveals pathway signature of Septic Shock

Septic shock is a major medical problem with high morbidity and mortality and incompletely understood biology. Availability of genome-wide expression data from different studies on septic shock empowers the quest for hitherto unidentified pathways by integration and meta-analysis of multiple data sets. Electronic search was performed on medical literature and gene expression databases. Selection of studies was based on the organism (human subjects), tissue of origin (circulating leukocytes) and the platform technology (gene expression microarray). Gene-level meta-analysis was conducted on the six selected studies to identify the genes consistently differentially expressed in septic shock. These genes were then subjected to pathway analysis. The identified up-regulated pathway hsa04380 (Osteoclast Differentiation) was validated in an independent cohort of patients. A simplified model was generated showing the major gene-modules dysregulated in SS.
Effect of Sexual Counseling on Marital Satisfaction of Pregnant Women Referring to Health Centers in Malayer (Iran): An educational randomized experimental study

Introduction One of the most important factors in marital satisfaction is the satisfaction of a healthy sexual relationship between spouses. During pregnancy marital satisfaction may decrease due to sexual problems. Sexual counseling to pregnant women may reduce the complications of these problems at this time. This study aimed to investigate the effects of sexual counseling on marital satisfaction of pregnant women. This article is sponsored by the Hamadan University of Medical Sciences. Methods This educational randomized experimental study was conducted on 80 pregnant women referring to health centers of Malayer. Samples were two groups of experimental and control, with forty participants in each group, four consultation sessions were held, and each session lasted 40 to 90 minutes Data gathering tools were demographic questionnaire and Enriching Relationship Issues Communication and Happiness (ENRICH), a short form of marital satisfaction questionnaire with 47 items. Data were analyzed by Software SPSS 22 and the results were compared by independent t-test, chi-square test, and repeated measure ANOVA. Results Comparing the marital satisfaction mean scores in the experimental group showed a significant difference between pre-consultation, and the consultation after two and four weeks. Marital satisfaction score of 8.05 ± 51.20 before the consultation was increased to 7.76 ± 54.52 after two weeks and 6.48 ± 59.20 after four weeks (respectively p < 0.001, p < 0.001). In addition, mean and standard deviation of marital satisfaction in the control group before the intervention, two weeks and four weeks after the intervention were respectively 10.10 ± 45.67, 11.75 ± 47.75, and 10.02 ± 46.30 and Bonferroni post hoc test showed a significant difference between before and two weeks after intervention (p = 0.03). However, marital satisfaction before and four weeks after the intervention was not significant (p = 0.59). The results showed that sexual counseling was associated with marital satisfaction and was effective in its promotion. Conclusion Sexual counseling can be used as a method of intervention in sexual relationship of spouses particularly in marital dissatisfaction.
Hole-doping effect on the thermoelectric properties and electronic structure of CoSi

We report the effect of Al substitution on the temperature-dependent electrical resistivity, Seebeck coefficient, as well as thermal conductivity in the binary compound cobalt monosilicide. It is found that the substitution of Al onto the Si sites causes a dramatic decrease in the electrical resistivity and lattice thermal conductivity. A theoretical analysis indicated that the reduction of lattice thermal conductivity arises mainly from point-defect scattering of the phonons. For $xg~0.05$ in the ${\mathrm{CoSi}}_{1\ensuremath{-}x}{\mathrm{Al}}_{x}$ system, the Seebeck coefficient changes sign from negative to positive, accompanied by the appearance of a broad maximum. These features are associated with the change in the electronic band structure, where the Fermi level shifts downwards from the center of the pseudogap due to hole-doping effect. While the thermoelectric performance improves with increasing Al substitution, the largest figure-of-merit $\mathrm{ZT}$ value among these alloys is still an order of magnitude lower than the conventional thermoelectric materials.
Secure Many-to-One Communications in Wireless Sensor Networks

Wireless Sensor Networks (WSN) are formed by nodes with limited computational and power resources. WSNs are finding an increasing number of applications, both civilian and military, most of which require security for the sensed data being collected by the base station from remote sensor nodes. In addition, when many sensor nodes transmit to the base station, the implosion problem arises. Providing security measures and implosion-resistance in a resource-limited environment is a real challenge. This article reviews the aggregation strategies proposed in the literature to handle the bandwidth and security problems related to many-to-one transmission in WSNs. Recent contributions to secure lossless many-to-one communication developed by the authors in the context of several Spanish-funded projects are surveyed. Ongoing work on the secure lossy many-to-one communication is also sketched.
Genetical Aspects of Metrical Growth and Form in Animals

The ontogenesis of those genetic differences in form which are homeomorphic, that is, which can be expressed in terms of meausrements, is considered. Particualar stress is laid on the advantages of longitudinal (versus cross-sectional, static, and mixed) data, and on the necessity of adapting the method of analysis to the type of data. Bivariate and multivariate methods of analysis are discussed, and the analysis of simple allometry is treated in detail. No existing multivariate method is competent to deal with longitudinal data; a way of overcoming this is suggested. Work on single-gene and multiple-gene diferences, and comparisons between related species, are critically examined. Instances in which the allometry line is simply shifted in position, without change in K (the coefficient of allometry) are common; well-established differences in K are relatively rare. When differences in K do occur, they often result in intersection of the allometry lines, or in convergence toward older ages. It is suggested that this results from the combined effects of genes which singly affect either position alone, or K. Evolutionary allometry is held to be a description of evolutionary trends, not an explanation of them in terms of growth. Theories of growth control and regeneration are discussed, and aspects which need reexamination using longitudinal methods of analysis are indicated.
Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models

In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The correspondences can be employed for various face processing applications, for example for building up a 3D Morphable Model (3DMM). Paths connecting landmarks are traced on the 3D facial surface and the resulting patches are mapped into a uv-space. Triangle quadrisection is used to build up remeshes with high point density for each 3D facial surface. Each vertex of a remesh has one corresponding vertex in another remesh and all remeshes have the same connectivity. The quality of the point-to-point correspondences is demonstrated on the bases of two applications, namely morphing and constructing a 3DMM.
Caveolin Transfection Results in Caveolae Formation but Not Apical Sorting of Glycosylphosphatidylinositol (GPI)-anchored Proteins in Epithelial Cells

Most epithelial cells sort glycosylphosphatidylinositol (GPI)-anchored proteins to the apical surface. The “raft” hypothesis, based on data mainly obtained in the prototype cell line MDCK, postulates that apical sorting depends on the incorporation of apical proteins into cholesterol/glycosphingolipid (GSL) rafts, rich in the cholesterol binding protein caveolin/VIP21, in the Golgi apparatus. Fischer rat thyroid (FRT) cells constitute an ideal model to test this hypothesis, since they missort both endogenous and transfected GPI- anchored proteins to the basolateral plasma membrane and fail to incorporate them into cholesterol/glycosphingolipid clusters. Because FRT cells lack caveolin, a major component of the caveolar coat that has been proposed to have a role in apical sorting of GPI- anchored proteins (Zurzolo, C., W. Van't Hoff, G. van Meer, and E. Rodriguez-Boulan. 1994. EMBO [Eur. Mol. Biol. Organ.] J. 13:42–53.), we carried out experiments to determine whether the lack of caveolin accounted for the sorting/clustering defect of GPI- anchored proteins. We report here that FRT cells lack morphological caveolae, but, upon stable transfection of the caveolin1 gene (cav1), form typical flask-shaped caveolae. However, cav1 expression did not redistribute GPI-anchored proteins to the apical surface, nor promote their inclusion into cholesterol/GSL rafts. Our results demonstrate that the absence of caveolin1 and morphologically identifiable caveolae cannot explain the inability of FRT cells to sort GPI-anchored proteins to the apical domain. Thus, FRT cells may lack additional factors required for apical sorting or for the clustering with GSLs of GPI-anchored proteins, or express factors that inhibit these events. Alternatively, cav1 and caveolae may not be directly involved in these processes.
Fine-grained controversy detection in Wikipedia

The advent of Web 2.0 gave birth to a new kind of application where content is generated through the collaborative contribution of many different users. This form of content generation is believed to generate data of higher quality since the “wisdom of the crowds” makes its way into the data. However, a number of specific data quality issues appear within such collaboratively generated data. Apart from normal updates, there are cases of intentional harmful changes known as vandalism as well as naturally occurring disagreements on topics which don't have an agreed upon viewpoint, known as controversies. While much work has focused on identifying vandalism, there has been little prior work on detecting controversies, especially at a fine granularity. Knowing about controversies when processing user-generated content is essential to understand the quality of the data and the trust that should be given to them. Controversy detection is a challenging task, since in the highly dynamic context of user updates, one needs to differentiate among normal updates, vandalisms and actual controversies. We describe a novel technique that finds these controversial issues by analyzing the edits that have been performed on the data over time. We apply the developed technique on Wikipedia, the world's largest known collaboratively generated database and we show that our approach has higher precision and recall than baseline approaches as well as is capable of finding previously unknown controversies.
Effect of changing pulse rate on profile parameters of perceptual thresholds and loudness comfort levels and relation to ECAP thresholds in recipients of the Nucleus CI24RE device

Abstract The Nucleus CI24RE ‘Freedom’ device offers higher stimulation rates and lower noise levels in action potential measurements (ECAPs) than previous devices. A study including ten European implant teams showed that the effect of changes in rate from 250 to 3500 pulses per second on tilt and curvature of the T and C profiles is insignificant. When changing rate one may change the levels at all electrodes by the same amount. Using an automated procedure ECAPs could be measured quickly and reliably at a noise level of only 1 μV. However, this did not result in improved correlations between the tilt and curvature parameters of the ECAP profiles and those of the T and C profiles. Average C levels appear to differ markedly among implant centers; a better assessment protocol is required. When increasing stimulus rate one should take into account that this requires higher pulse charges per second and more power consumption. Sumario El dispositivo Nucleus CI24RE “Freedom” ofrece tasas de estimulación mayores, y menores niveles de ruido en las mediciones del potencial de acción (ECAPs) que los dispositivos anteriores. Un estudio que incluyó diez grupos europeos de implantes, mostró que el efecto de los cambios en la tasa de 250 a 3500 pulsos por segundo en la inclinación y la curvatura de los perfiles T y C es insignificante. Cuando se cambian las tasas, uno puede cambiar los niveles de todos los electrodos en la misma medida. Utilizando un procedimiento automatizado, los ECAPs pueden medirse en forma rápida y confiable a un nivel de ruido de solo 1mV. Sin embargo, esto no conlleva (a) una mejoría en las correlaciones entre los parámetros de inclinación y de curvatura de los perfiles ECAP y aquellos de los perfiles de T y C. Los niveles C promedio parecen diferir marcadamente entre los centros de implante; se requiere un mejor protocolo de evaluación. Cuando se incrementa la tasa de estimulación uno debe tomar en cuenta que eso requiere una mayor carga de pulsos por segundo y mayor poder de consumo.
Database design with common sense business reasoning and learning

Automated database design systems embody knowledge about the database design process. However, their lack of knowledge about the domains for which databases are being developed significantly limits their usefulness. A methodology for acquiring and using general world knowledge about business for database design has been developed and implemented in a system called the Common Sense Business Reasoner, which acquires facts about application domains and organizes them into a a hierarchical, context-dependent knowledge base. This knowledge is used to make intelligent suggestions to a user about the entities, attributes, and relationships to include in a database design. A distance function approach is employed for integrating specific facts, obtained from individual design sessions, into the knowledge base (learning) and for applying the knowledge to subsequent design problems (reasoning).
Predicting personality traits related to consumer behavior using SNS analysis

ABSTRACT Modeling a user profile is one of the important factors for devising a personalized recommendation. The traditional approach for modeling a user profile in computer science is to collect and generalize the user's buying behavior or preference history, generated from the user's interactions with recommender systems. According to consumer behavior research, however, internal factors such as personality traits influence a consumer's buying behavior. Existing studies have tried to adapt the Big 5 personality traits to personalized recommendations. However, although studies have shown that these traits can be useful to some extent for personalized recommendation, the causal relationship between the Big 5 personality traits and the buying behaviors of actual consumers has not been validated. In this paper, we propose a novel method for predicting the four personality traits—Extroversion, Public Self-consciousness, Desire for Uniqueness, and Self-esteem—that correlate with buying behaviors. The proposed method automatically constructs a user-personality-traits prediction model for each user by analyzing the user behavior on a social networking service. The experimental results from an analysis of the collected Facebook data show that the proposed method can predict user-personality traits with greater precision than methods that use the variables proposed in previous studies.