Miracle-dz/UniFAR-FTUs huggingface dataset:
Mentiras, inconsistencias y ambivalencias. Teoría de la acción y análisis de discurso

Many practices of discourse analysis take for granted two assumptions: a) behaviour is more determined by interiorized culture than by situation; b) discourse expresses the cultural elements —attitudes, values, etc.— that are the principles of action. In contrast to these assumptions, the article defends that we are subject to numerous and often contradictory constrictions, which determine our action whatever our beliefs. As a consequence, we usually are not coherent; we do and we say different things in different situations and arrange our discourses and beliefs in order to justify our behaviour, handling strategically the stock of available cultural resources. Taking this into account leads us to focus discourse analysis on the strategic component of discourses, as well as on their incoherencies and contradictions.
The Dynamics of Multidisciplinary Research Teams in Academia

Although multidisciplinary research teams are well equipped to attack complex problems, actually succeeding in such endeavors is not so easy. This paper explores problems that may arise in multidisciplinary research teams, develops a grounded theory, and offers suggestions to help multidisciplinary research teams reach their goals. It also offers advice to educational administrators about how they can support multidisciplinary efforts in overcoming these potential difficulties.
Regulation of Cell Migration and β1 Integrin Trafficking by the Endosomal Adaptor GGA3

The integrin family of cell adhesion receptors link extracellular matrices to intracellular signaling pathways and the actin cytoskeleton; and regulate cell migration, proliferation and survival in normal and diseased tissues. The subcellular location of integrin receptors is critical for their function and deregulated trafficking is implicated in various human diseases. Here we identify a role for Golgi‐localized gamma‐ear containing Arf‐binding protein 3 (GGA3), in regulating trafficking of β1 integrin. GGA3 knockdown reduces cell surface and total levels of α2, α5 and β1 integrin subunits, inhibits cell spreading, reduces focal adhesion number, as well as cell migration. In the absence of GGA3, integrins are increasingly retained inside the cell, traffic toward the perinuclear lysosomal compartment and their degradation is enhanced. Integrin traffic and maintenance of integrin levels are dependent on the integrity of the Arf binding site of GGA3. Furthermore, sorting nexin 17 (SNX17), a critical regulator of integrin recycling, becomes mislocalized to enlarged late endosomes upon GGA3 depletion. These data support a model whereby GGA3, through its ability to regulate SNX17 endosomal localization and through interaction with Arf6 diverts integrins from the degradative pathway supporting cell migration.
Hierarchical Pitman-Yor language models for ASR in meetings

In this paper we investigate the application of a hierarchical Bayesian language model (LM) based on the Pitman-Yor process for automatic speech recognition (ASR) of multiparty meetings. The hierarchical Pitman-Yor language model (HPY-LM) provides a Bayesian interpretation of LM smoothing. An approximation to the HPYLM recovers the exact formulation of the interpolated Kneser-Ney smoothing method in n-gram models. This paper focuses on the application and scalability of HPYLM on a practical large vocabulary ASR system. Experimental results on NIST RT06s evaluation meeting data verify that HPYLM is a competitive and promising language modeling technique, which consistently performs better than interpolated Kneser-Ney and modified Kneser-Ney n-gram LMs in terms of both perplexity and word error rate.
Cognitive load theory and music instruction

In two experiments, the principles of cognitive load theory were applied to the design of alternatives to conventional music instruction hypothesised to facilitate learning. Experiment 1 demonstrated that spatial integration of visual text and musical notation, and dual‐modal delivery of auditory text and musical notation, were superior to the spatially separated placement of the same visual materials, demonstrating the split‐attention and modality effects respectively. In Experiment 2 there were four conditions differentiated by the presence or absence of musical notation and the simultaneous or successive presentation of auditory music, written explanations, and musical notation. Results indicated that the presence of music notation had no effects, but that the simultaneous presentation of either two or three information sources was superior to successive presentation. These results provide further empirical support for the need to consider cognitive load theory when designing instruction in any domain.
A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics

Abstract The quantification of transmissibility during epidemics is essential to designing and adjusting public health responses. Transmissibility can be measured by the reproduction number R, the average number of secondary cases caused by an infected individual. Several methods have been proposed to estimate R over the course of an epidemic; however, they are usually difficult to implement for people without a strong background in statistical modeling. Here, we present a ready-to-use tool for estimating R from incidence time series, which is implemented in popular software including Microsoft Excel (Microsoft Corporation, Redmond, Washington). This tool produces novel, statistically robust analytical estimates of R and incorporates uncertainty in the distribution of the serial interval (the time between the onset of symptoms in a primary case and the onset of symptoms in secondary cases). We applied the method to 5 historical outbreaks; the resulting estimates of R are consistent with those presented in the literature. This tool should help epidemiologists quantify temporal changes in the transmission intensity of future epidemics by using surveillance data.
Tip60 and Histone Deacetylase 1 Regulate Androgen Receptor Activity through Changes to the Acetylation Status of the Receptor*

The androgen receptor (AR), a member of the nuclear hormone receptor superfamily, is thought to play an important role in the development of prostate cancer. The AR is a hormone-dependent transcription factor that activates expression of numerous androgen-responsive genes. Histone acetyltransferase-containing proteins have been shown to increase activity of several transcription factors, including nuclear hormone receptors, by eliciting histone acetylation, which facilitates promoter access to the transcriptional machinery. Conversely, histone deacetylases (HDACs) have been identified which reduce levels of histone acetylation and are associated with transcriptional repression by various transcription factors. We have previously shown that Tip60 (Tat-interactive protein, 60 kDa) is a bona fideco-activator protein for the AR. Here we show that Tip60 directly acetylates the AR, which we demonstrate is a requisite for Tip60-mediated transcription. To define a mechanism for repression of AR function, we demonstrate that AR activity is specifically down-regulated by the histone deacetylase activity of HDAC1. Furthermore, using both mammalian two-hybrid and immunoprecipitation experiments, we show that AR and HDAC1 interact, suggestive of a direct role for down-regulation of AR activity by HDAC1. In chromatin immunoprecipitation assays, we provide evidence that AR, Tip60, and HDAC1 form a trimeric complex upon the endogenous AR-responsive PSA promoter, suggesting that acetylation and deacetylation of the AR is an important mechanism for regulating transcriptional activity.
Data-Discriminants of Likelihood Equations

Maximum likelihood estimation (MLE) is a fundamental computational problem in statistics. The problem is to maximize the likelihood function with respect to given data on a statistical model. An algebraic approach to this problem is to solve a very structured parameterized polynomial system called likelihood equations. For general choices of data, the number of complex solutions to the likelihood equations is finite and called the ML-degree of the model. The only solutions to the likelihood equations that are statistically meaningful are the real/positive solutions. However, the number of real/positive solutions is not characterized by the ML-degree. We use discriminants to classify data according to the number of real/positive solutions of the likelihood equations. We call these discriminants data-discriminants (DD). We develop a probabilistic algorithm for computing DDs. Experimental results show that, for the benchmarks we have tried, the probabilistic algorithm is more efficient than the standard elimination algorithm. Based on the computational results, we discuss the real root classification problem for the 3 by 3 symmetric matrix~model.
RISING WATER TEMPERATURES ALTER LIPID DYNAMICS AND REDUCE N‐3 ESSENTIAL FATTY ACID CONCENTRATIONS IN SCENEDESMUS OBLIQUUS (CHLOROPHYTA) 1

The biosynthesis of nutritionally important polyunsaturated fatty acids (PUFAs) in phytoplankton is influenced by environmental temperature. We investigated the potential of climate warming to alter lipid dynamics of Scenedesmus obliquus (Turpin) Kütz. by comparing lipid and fatty acid (FA) profiles as well as FA metabolism (using [1‐14C] acetate) at 20°C and 28°C. We documented an overall decline (53%–37%) in the proportion of n‐3 PUFA (in particular, of α‐linolenic acid [ALA; 18:3n‐3]), and a concomitant increase in saturated fatty acids (SAFAs) in total lipids (TLs) at 28°C, consistent with enhanced incorporation of radioactivity from [1‐14C] acetate into total 16:0, 18:1, and decreased incorporation into 18:2 and 18:3 FA (from 36% to 22% of the total) at 28°C. Glycerophospholipids were also affected by warming; ALA and stearidonic acids (SDAs; 18:4n‐3) both decreased (by 13% and 15%, respectively) in phosphatidylcholine (PC) and (by 24% and 20%, respectively) in phosphatidylethanolamine (PE). The characteristic FA in phosphatidylglycerol (PG; 16:1n‐13t) increased (by 22%) at 28°C. The activities of desaturases, which add double bonds to FA moieties, comprised the major suite of reactions affected by the temperature increase in TL and polar lipid (PL) classes. Climate modelers predict an increase in the number of extreme heat days in summer at temperate latitudes, with parallel projected increases in water temperatures of shallow water bodies. Our results suggest that the overall decrease in the essential n‐3 FA ALA in S. obliquus at higher water temperatures may lower food quality for higher tropic levels, adding another climate‐warming stress.
Gender-Differences in Computer Experience and its Influence on Computer Attitudes

This study of 902 boys and 828 girls in secondary school shows that gender-differences in computer experience has a direct relationship to computer attitudes. The data analysis supports the hypothesis that male students have more computer experience than female students. This experience is measured by the number of computer classes attended, the amount of computer usage, and having access to a home computer. Boys showed more positive attitudes toward computers than girls. The number of classes students attended, and the amount of computer usage was positively related to computer interest, computer confidence (for boys), and perceived computer utility. Home computer ownership was not related to computer attitudes. The association between computer attitudes and computer experience was stronger for males than females.
The psoriatic process.

In 1893, Audry1postulated that defective epidermal keratinization or cornification was the essential pathological feature of psoriasis. This hypothesis, based on histological studies, has been amply justified by recent biochemical investigations. However, before entering into a discussion of these recent findings, it would be well to reiterate Flesch's definition of the processes involved in cornification or rather in the maturation of the human epidermis.2He has called the consolidation of fibrous keratin precursorskeratinizationand the decomposition of cellular proteins or the formation of nonkeratinous components, in the horny layer,differentiation. These terms will be used forthwith in this paper. Concerning keratinization, it has been found that, in psoriasis, a fibrous protein can be extracted from the scales, which is similar or identical with tonofibrin, which has previously been isolated from normal cellular epidermis.3This protein appears to be a fibrous, keratin precursor,
Developing a Performance Evaluation Model for a Headquarters: The Perspective from a Shoes Corporation

Maintaining a headquarters is the backbone of corporate operations. The enhancement of a headquarters’ performance may significantly contribute to the performance improvement and revenue growth of the entire corporation. It is especially important to develop a performance evaluation model for headquarters in this era of profit squeeze. As the saying goes, “You can’t manage it until you can measure it” [11]. a prototype of a performance evaluation model for headquarters is constructed using the Grounded Theory and questionnaires developed for experts. Subsequently, a case study is conducted to aid a leading shoes corporation in constructing a performance evaluation model for its headquarters. Measurement methods are figured out to measure and evaluate their organizational and operational efficiency. This will stimulate the continuous improvement of the organization, its operational process and personnel, as well as put an end to the role of the headquarters as being the biggest spender in the corporation. Finally, the evaluation model for headquarters proposed in this study is beneficial in meeting the industrial demands. Specifically, the model offers the following merits: (1) Substitution for the traditional subjective evaluation methods used for evaluating headquarters performances; (2) Serving as a reference for the business quarter in face of the Act for Promoting Operational headquarters by the Industrial Development, Bureau Ministry of Economic Affairs, and; (3) Offering an effective “performance evaluation model for operational headquarters” to aid in organizational operations and management.
The effects of receiver placement on probe microphone, performance, and subjective measures with open canal hearing instruments.

BACKGROUND Open canal hearing instruments differ in method of sound delivery to the ear canal, distance between the microphone and the receiver, and physical size of the devices. Moreover, RITA (receiver in the aid) and RITE (receiver in the ear) hearing instruments may also differ in terms of retention and comfort as well as ease of use and care for certain individuals. What remains unclear, however, is if any or all of the abovementioned factors contribute to hearing aid outcome. PURPOSE To determine the effect of receiver location on performance and/or preference of listeners using open canal hearing instruments. RESEARCH DESIGN An experimental study in which subjects were exposed to a repeated measures design. STUDY SAMPLE Twenty-five adult listeners with mild sloping to moderately severe sensorineural hearing loss (mean age 67 yr). DATA COLLECTION AND ANALYSIS Participants completed two six-week trial periods for each device type. Probe microphone, objective, and subjective measures (quiet, noise) were conducted unaided and aided at the end of each trial period. RESULTS Occlusion effect results were not significantly different between the RITA and RITE instruments; however, frequency range was extended in the RITE instruments, resulting in significantly greater maximum gain for the RITE instruments than the RITA instruments at 4000 and 6000 Hz. Objective performance in quiet or in noise was unaffected by receiver location. Subjective measures revealed significantly greater satisfaction ratings for the RITE than for the RITA instruments. Similarly, preference in quiet and overall preference were significantly greater for the RITE than for the RITA instruments. CONCLUSIONS Although no occlusion differences were noted between instruments, the RITE did demonstrate a significant difference in reserve gain before feedback at 4000 and 6000 Hz. Objectively; no positive benefit was noted between unaided and aided conditions on speech recognition tests. These results suggest that such testing may not be sensitive enough to determine aided benefit with open canal instruments. However, the subjective measures (Abbreviated Profile of Hearing Aid Benefit [APHAB] and subjective ratings) did indicate aided benefit for both instruments when compared to unaided. This further suggests the clinical importance of subjective measures as a way to measure aided benefit of open-fit devices.
BERT and Word Segmentation Algorithm Research on the Relationship Between Diabetes Symptoms and Traditional Chinese Medicine

Diabetes is a common chronic Metabolic disorder, and its treatment has always been a hot research topic in the medical field. Traditional Chinese medicine has a significant therapeutic effect on it and has become one of the important ways for patients to choose treatment methods. In recent years, with the development and application of deep learning technology, more and more research has begun to attempt to use deep learning models to process traditional Chinese medicine case data, achieving automated information extraction and analysis. This study shows that BERT model and jieba segmentation algorithm have good effect in the study of the relationship between symptoms and Medication in diabetes medical record data, which is expected to provide scientific basis and reference for clinical treatment of traditional Chinese medicine.
Promoting equity in an early years context: the role of participatory educational teams

ABSTRACT This article presents an alternative participatory pedagogy in Early Years as a contribution to the promotion of equity and social justice for children, particularly those from ethnic minorities and low income families, enhancing their chances of educational success. The development of mass education was implemented in many countries by centralised educational systems through curricular uniformity that assumed cultural homogeneity. The increase of cultural diversity in current societies and schools make this bureaucratic assumption grossly inadequate for educating children in a school for all. To counteract this strategy, the Childhood Association, supported by the Aga Khan Foundation, has been developing a participatory pedagogy in Early Years alternative contexts, entitled Pedagogy-in-Participation. This article presents the development of participatory professional teams within this pedagogical perspective as a means to promoting equity and social justice. The initiative requires substantial investment in building up the capacity of the entire workforce to work with all type of diversities, including ethnic and socioeconomic diversity.
Bebop: a path-sensitive interprocedural dataflow engine

Flow-sensitive data analyses can lose precision because they assume that all paths in a control-flow graph are executable (feasible). Path-sensitive dataflow analyses can rule out infeasible paths by tracking correlations between dataflow facts. To track such correlations, in general, requires recording a set of sets of facts per statement in a program. Naive representation of such sets can lead to a very high memory consumption and running time. We reformulate an interprocedural dataflow algorithm by Reps, Horwitz and Sagiv (based on context-free graph reachability) into a traditional interprocedural flow-sensitive dataflow algorithm. We then show how to use Binary Decision Diagrams (BDDs), a data structure from the model checking community, to turn this reformulated algorithm into an interprocedural path-sensitive dataflow analysis algorithm that tracks a set of set of facts per program statement. We have implemented this algorithm in a tool called \bebop.
Research on Algorithm for Guidance Information Extraction of Rotational Bias Passive Radar Seeker

Research on the guidance information extraction algorithm for a rotating biased passive radar seeker applied to aircraft. The angle measurement information of the rotary bias seeker not only couples the attitude angle of the missile body, but also its installation bias angle and rotation angle relative to the missile body. To isolate the installation bias angle and rotation angle in the angle measurement information, a rotation solving algorithm is designed to obtain the estimated misalignment angle of the non spin and non bias strapdown seeker. A misalignment angle interpolation algorithm is designed to address the intermittent detection problem caused by the oblique rotation of the seeker, and the misalignment angle estimation value at the blind spot of the field of view is obtained. Isolate the attitude angle of the estimated misalignment angle after spinning and interpolation, and design a guidance information reconstruction algorithm based on alpha-beta filtering to obtain the estimated line of sight angle and line of sight angle rate of the equivalent active seeker. Experimental analysis shows that the designed rotation solving algorithm and misalignment angle interpolation algorithm can be applied to the design of guidance information extraction algorithms under the rotating bias seeker system.
The tropos software development methodology: processes, models and diagrams

Tropos is a novel agent-oriented software development methodology founded on two key features: (i) the notions of agent, goal, plan and other knowledge level concepts are used uniformly throughout the software development process; and (ii) a crucial role is assigned to requirements analysis and specification when the system-to-be is analyzed with respect to its intended environment. This short paper outlines basic elements of the Tropos methodology: the conceptual framework and the analysis process through which design flows from external to system actors through a goal analysis and delegation.
Multi-source remote sensing image fusion method based on sparse representation

To improve the quality of the fused image, we propose a remote sensing image fusion method based on sparse representation. In the method, first, the source images are divided into patches and each patch is represented with sparse coefficients using an overcomplete dictionary. Second, the larger value of sparse coefficients of panchromatic (Pan) image is set to 0. Third, Then the coefficients of panchromatic (Pan) and multispectral (MS) image are combined with the linear weighted averaging fusion rule. Finally, the fused image is reconstructed from the combined sparse coefficients and the dictionary. The proposed method is compared with intensity-hue-saturation (IHS), Brovey transform (Brovey), discrete wavelet transform (DWT), principal component analysis (PCA) and fast discrete curvelet transform (FDCT) methods on several pairs of multifocus images. The experimental results demonstrate that the proposed approach performs better in both subjective and objective qualities.