Miracle-dz/UniFAR-FTUs huggingface dataset:
Activated monocytes resist elimination by retinal pigment epithelium and downregulate their OTX2 expression via TNF‐α

Orthodenticle homeobox 2 (OTX2) controls essential, homeostatic retinal pigment epithelial (RPE) genes in the adult. Using cocultures of human CD14+ blood monocytes (Mos) and primary porcine RPE cells and a fully humanized system using human‐induced pluripotent stem cell‐derived RPE cells, we show that activated Mos markedly inhibit RPEOTX2 expression and resist elimination in contact with the immunosuppressive RPE. Mechanistically, we demonstrate that TNF‐α, secreted from activated Mos, mediates the downregulation of OTX2 and essential RPE genes of the visual cycle among others. Our data show how subretinal, chronic inflammation and in particular TNF‐α can affect RPE function, which might contribute to the visual dysfunctions in diseases such as age‐related macular degeneration (AMD) where subretinal macrophages are observed. Our findings provide important mechanistic insights into the regulation of OTX2 under inflammatory conditions. Therapeutic restoration of OTX2 expression might help revive RPE and visual function in retinal diseases such as AMD.
The UT Austin Villa 2004 RoboCup Four-Legged Team: Coming of Age

The UT Austin Villa Four-Legged Team for RoboCup 2004 was a second-time entry in the ongoing series of RoboCup legged league competitions. The team development began in mid-January of 2003 without any prior familiarity with the Aibos. After entering a fairly non-competitive team in RoboCup 2003, the team made several important advances. By the July 2004 competition place in Lisbon, Portugal, it was one of the top few teams. In this report, we describe both our development process and the technical details of its end result. In conjunction with our previous technical report [12] this paper provides full documentation of the algorithms behind our approach with the goal of making them fully replicable.
A Novel CASE Tool based on Pre-Conceptual Schemas for Automatically Obtaining UML Diagrams

Assistance is provided, in software development process, to Analysts in drawing UML diagrams and others by means of CASE tools. However, the task of the Stakeholder discourse understanding, a previous process in diagram drawing, is not supported by traditional CASE tools. In order to complete this task, Natural Language Processing has proposed a new kind of CASE tools, including both natural language interpretation and UML diagrams generation. We introduce, in this paper, UNCâ€“Diagrammer, a novel CASE tool for graphically representing the Stakeholder discourse by means of Preconceptual Schemas. We also show that UNC-Diagrammer is capable of automatically transforming Pre-conceptual Schemas into three UML 2.0 diagrams. We finally demonstrate the use of UNCâ€“Diagrammer through an example.
Modelling 3 D Mechanical Effects of 1 D Powertrains

It is described how to extend one-dimensionally modelled rotational mechanical systems such that they can be mounted on three-dimensional multi-body system models without neglecting any dynamic effects. This is performed by adding support torques to existing drive train elements and by introducing new components that take care of the gyroscopic torques and the transformation of one-dimensional into threedimensional support torques. It is demonstrated that this approach is convenient for the user and leads to efficient simulation code.
Feature Selection for Predicting Tumor Metastases in Microarray Experiments using Paired Design

Among the major issues in gene expression profile classification, feature selection is an important and necessary step in achieving and creating good classification rules given the high dimensionality of microarray data. Although different feature selection methods have been reported, there has been no method specifically proposed for paired microarray experiments. In this paper, we introduce a simple procedure based on a modified t-statistic for feature selection to microarray experiments using the popular matched case-control design and apply to our recent study on tumor metastasis in a low-malignant group of breast cancer patients for selecting genes that best predict metastases. Gene or feature selection is optimized by thresholding in a leaving one-pair out cross-validation. Model comparison through empirical application has shown that our method manifests improved efficiency with high sensitivity and specificity.
Enriching WordNet with Qualia Information †

At the present time the distinction between compatible versus incompatible co-hyponyms and polysemy versus homonymy is not expressible in WordNet. We aim to enhance WordNet’s expressiveness, through GL inheritance patterns. Hyponymy will then be reflected in the qualia structures shared by the hyponyms and the hyperonym.
Malaria Infections Do Not Compromise Vaccine-Induced Immunity against Tuberculosis in Mice

Background Given the considerable geographic overlap in the endemic regions for malaria and tuberculosis, it is probable that co-infections with Mycobacterium tuberculosis and Plasmodium species are prevalent. Thus, it is quite likely that both malaria and TB vaccines may be used in the same populations in endemic areas. While novel vaccines are currently being developed and tested individually against each of these pathogens, the efficacy of these vaccines has not been evaluated in co-infection models. To further assess the effectiveness of these new immunization strategies, we investigated whether co-infection with malaria would impact the anti-tuberculosis protection induced by four different types of TB vaccines in a mouse model of pulmonary tuberculosis. Principal Findings Here we show that the anti-tuberculosis protective immunity induced by four different tuberculosis vaccines was not impacted by a concurrent infection with Plasmodium yoelii NL, a nonlethal form of murine malaria. After an aerogenic challenge with virulent M. tuberculosis, the lung bacterial burdens of vaccinated animals were not statistically different in malaria infected and malaria naïve mice. Multi-parameter flow cytometric analysis showed that the frequency and the median fluorescence intensities (MFI) for specific multifunctional T (MFT) cells expressing IFN-γ, TNF-α, and/or IL-2 were suppressed by the presence of malaria parasites at 2 weeks following the malaria infection but was not affected after parasite clearance at 7 and 10 weeks post-challenge with P. yoelii NL. Conclusions Our data indicate that the effectiveness of novel TB vaccines in protecting against tuberculosis was unaffected by a primary malaria co-infection in a mouse model of pulmonary tuberculosis. While the activities of specific MFT cell subsets were reduced at elevated levels of malaria parasitemia, the T cell suppression was short-lived. Our findings have important relevance in developing strategies for the deployment of new TB vaccines in malaria endemic areas.
Companion forms and the structure of p-adic Hecke algebras

Abstract We study the structure of the Eisenstein component of Hida’s ordinary p-adic Hecke algebra attached to modular forms, in connection with the companion forms in the space of modular forms (mod p). We show that such an algebra is a Gorenstein ring if certain space of modular forms (mod p) having companions is one-dimensional; and also give a numerical criterion for this one-dimensionality. This in part overlaps with a work of Skinner and Wiles; but our method, based on a work of Ulmer, is totally different. We then consider consequences of the above mentioned Gorenstein property. We especially discuss the connection with the Iwasawa theory.
IMGT/HLA and IMGT/MHC: sequence databases for the study of the major histocompatibility complex

The IMGT/HLA database (http://www.ebi.ac.uk/imgt/hla) has provided a centralized repository for the sequences of the alleles named by the WHO Nomenclature Committee for Factors of the HLA System for the past four years. Since its initial release the database has grown and is the primary source of information for the study of sequences of the human major histocompatibilty complex. The initial release of the database contained a limited number of tools. As a result of feedback from our users and developments in HLA we have been able to provide new tools and facilities. The HLA sequences have also been extended to include intron sequences and the 3' and 5' untranslated regions in the alignments and also the inclusion of new genes such as MICA. The IMGT/MHC database (http://www.ebi.ac.uk/imgt/mhc) was released in March 2002 to provide a similar resource for other species. The first release of IMGT/MHC contains the sequences of non-human primates (apes, new and old world monkeys), canines and feline sequences. Further species will be added shortly and the database aims to become the primary source of MHC data for non-human sequences.
AKUNTAN DI ERA DIGITAL: PENDEKATAN TAM (TECHNOLOGY ACCEPTANCE MODEL) PADA SOFTWARE BERBASIS AKUNTANSI

ABSTRAK Tujuan dari penelitian ini adalah untuk menguji faktor yang menentukan keinginan (intention) akuntan muda untuk menggunakan software MYOB dengan menggunakan pendekatan Technology Acceptance Model (TAM) yang dikembangkan oleh Davis (1989). Responden dari penelitian ini berjumlah 47 orang yang merupakan akuntan muda maupun calon akuntan yang pernah menggunakan software MYOB. Hipotesis dalam penelitian ini diuji dengan melakukan uji regresi berganda yang menggunakan software SPSS. Hasil dari penelitian ini menunjukkan bahwa persepsi kebermanfaatan (perceived usefulness) merupakan faktor yang menentukan intention, sedangkan tidak pada persepsi kemudahan (perceived ease of use), Kata kunci: perceived ease of use, perceived usefulness, intention to use
Design of portable electronic instrument for detection of urea in milk by fabrication of urea sensor using ZnO nanoparticles

Milk is considered to be a complete food an disconsumed by individuals of all age groups. Urea is added to milk as an adulterant to increase its shelf life and Solid Not Fat (SNF) value. Excess urea consumption is harmful to human beings which results in serious health issues. Hence, there is an utmost necessity of an instrument to detect and quantify the presence of urea content in milk. ZnO nano powder was synthesized using Sol-Gel process and it was coated on a glass substrate in the form of thick film using the Doctor Blade method. The ZnO immobilized with urease enzyme was used as a sensing layer for detection of urea in milk. The fabricated sensor has a sensitivity of 0.6mV/10mg and the designed instrument indicates the presence of urea within the permissible range by corresponding LED.
Action recognition based on Fast Dynamic-Time warping method

This paper present an approach for recognition of action, based on Fast Dynamic-Time Warping method and a Feed Forward Neural Network. We use simple to complex approach in action recognition by decomposing to its basic elements. The human body parts motions are tracked and classified individually. The body parts motions are classified using a modified FastDTW, an approximation of DTW that has linear time and space complexity. FastDTW uses a multilevel approach that recursively projects a solution from a coarse resolution and refines the projected solution. These basic motions are used as input in Feed Forward Neural Network to recognize the action.
On the Role of Continuum-driven Eruptions in the Evolution of Very Massive Stars and Population III Stars

We suggest that the mass lost during the evolution of very massive stars may be dominated by optically thick, continuum-driven outbursts or explosions, instead of by steady line-driven winds. In order for a massive star to become a Wolf-Rayet star, it must shed its hydrogen envelope, but new estimates of the effects of clumping in winds from O-type stars indicate that line driving is vastly insufficient. We discuss massive stars above roughly 40-50 M☉, which do not become red supergiants and for which the best alternative is mass loss during brief eruptions of luminous blue variables (LBVs). Our clearest example of this phenomenon is the 19th century outburst of η Carinae, when the star shed 12-20 M☉ or more in less than a decade. Other examples are circumstellar nebulae of LBVs and LBV candidates, extragalactic η Car analogs (the so-called supernova impostors), and massive shells around supernovae and gamma-ray bursters. We do not yet fully understand what triggers LBV outbursts or what supplies their energy, but they occur nonetheless, and they present a fundamental mystery in stellar astrophysics. Since line opacity from metals becomes too saturated, the extreme mass loss probably arises from a continuum-driven wind or a hydrodynamic explosion, both of which are insensitive to metallicity. As such, eruptive mass loss could have played a pivotal role in the evolution and ultimate fate of massive metal-poor stars in the early universe. If they occur in these Population III stars, such eruptions would also profoundly affect the chemical yield and types of remnants from early supernovae and hypernovae thought to be the origin of long gamma-ray bursts.
Performance Comparison of Discrete Transforms on Speech Compressed Sensing

This work explores the application of compressed sensing technique on data sampling and acquisition of speech signals. Our objective is to provide the use of compressed sensing for speech signals which investigates the possibility of reliable reconstruction of a speech signal from very few sample and also to compare the performance of DFT and DCT on speech signal in compressed sensing. Since DCT representation produces comparatively less number of coefficients, it enables a better sparse representation of speech signal than DFT representation. The same hearing quality of speech signal is recovered by DCT using less number of measured coefficients than required by DFT. Since the coefficients of DCT are real, the reconstruction algorithm of DCT runs comparatively faster than DFT and also requires less time for recovery.
THE CORRELATION BETWEEN CLASSROOM SEATING POSITION AND STUDENTS’ ACHIEVEMENT

The classroom is crucial for students, and seating position within the classroom can affect students’ achievement. This research aims to know about (1) the classroom seating position, (2) the students' achievement, and (3) the correlation between the classroom seating position and the students' achievement. This research used quantitative research approach with the correlational research design. The data were gathered from 92 respondents by distributing the questionnaire about classroom seating position and asking the students’ achievement from the GPA score. The instrument was validated by expert judgement checking. The instrument was also reliable, and the reliability score was 0.79 from 21 statements. The result shown that the mean score of classroom seating position was 2.37 meaning that the students tended to sit in the center position. On the other hand, the mean score of students’ achievement was 3.20 meaning that the students had high achievement. Moreover, the result score of correlation coefficient was 0.23. It indicated that there was a positive correlation between classroom seating position and students' achievement. Then, the significant correlation (ρ value = 0.027) and the (r value = 0.23) were in weak correlation, so the alternative hypothesis (H1) which is there is a significant
Real-time Dense Visual Tracking under Large Lighting Variations

This paper proposes a model for large illumination variations to improve direct 3D tracking techniques since they are highly prone to illumination changes. Within this context dense monocular and multi-camera tracking techniques are presented which each perform in real-time (45Hz). The proposed approach exploits the relative advantages of both model-based and visual odometry techniques for tracking. In the case of direct model-based tracking, photometric models are usually acquired under significantly greater lighting differences than those observed by the current camera view, however, model-based approaches avoid drift. Incremental visual odometry, on the other hand, has relatively less lighting variation but integrates drift. To solve this problem a hybrid approach is proposed to simultaneously minimise drift via a 3D model whilst using locally consistent illumination to correct large photometric differences. Direct 6 dof tracking is performed by an accurate method, which directly minimizes dense image measurements iteratively, using non-linear optimisation. A stereo technique for automatically acquiring the 3D photometric model has also been optimised for the purpose of this paper. Real experiments are shown on complex 3D scenes for a hand-held camera undergoing fast 3D movement and various illumination changes including daylight, artificial-lights, significant shadows, non-Lambertian reflections, occlusions and saturations.
Indoor localization with probability density functions based on Bluetooth

We present a simple system to help people navigate inside of buildings or even in outside areas close to buildings. It is based on the "RSSI" and "transmit power" data of an established Bluetooth link. The system is in principle sufficient for the intended application (pedestrian, indoor), but it is certainly not a high resolution indoor location system. The achievable accuracy is dependent on the setup (number of access points and their constellation and available Bluetooth devices) but will not be better than in the order of several meters. A main feature of this fingerprinting-like system is the representation of the estimated position in the form of probability density functions
Online pattern matching in sparse matrices and contact maps

Contact maps are two dimensional abstract representations of protein structures. Some patterns in contact maps correspond to configurations of protein secondary structures. Searching for such patterns may typically use a naı̈ve sliding window approach, and we study techniques which accelerate the searching operations in the online setting, including a restricted search algorithm which operates only on relevant areas of the matrix.
Psychometric properties of the 8-item Chronic Pain Acceptance Questionnaire (CPAQ-8) in a Swedish chronic pain cohort.

BACKGROUND Acceptance and Commitment Therapy for chronic pain has good empirical support. Pain acceptance is most often assessed with the Chronic Pain Acceptance Questionnaire (CPAQ). Recently a shorter 8-item version, the CPAQ-8, was developed. OBJECTIVES To further validate the CPAQ-8 in a Swedish context and to test its sensitivity to treatment effects, an as-yet unknown property of the instrument. METHODS A total of 891 patients completed the CPAQ, along with scales for anxiety and depression (Hospital Anxiety and Depression scale), kinesiophobia (Tampa Scale for Kinesiophobia) and quality of life (Short Form-36). Confirmatory factor analyses were performed to examine the factor structure. Convergent validity was tested with Pearson's correlations. Changes over time were evaluated with paired t-test. RESULTS The confirmatory factor analyses showed that the CPAQ 2-factor model had a better fit compared with the 1-factor model, both for the 8- and 20-item versions. All CPAQ-8 scales demonstrated good internal consistency (alpha ≥ 0.80). They also correlated significantly with related constructs, supporting convergent validity. The CPAQ-8 explained a large share of the total variance in CPAQ-20 and was also able to track rehabilitation changes (large effect size, d = 0.89). CONCLUSION CPAQ-8 demonstrated good psychometric properties and sensitivity to rehabilitation changes. Further research that considers other cultural contexts may lead enhance the applications of this instrument.
The kinematical structure of gravitationally lensed arcs

In this paper, the expected properties of the velocity fields of strongly lensed arcs behind galaxy clusters are investigated. The velocity profile along typical lensed arcs is determined by raytracing light rays from a model source galaxy through parametric cluster toy models consisting of individual galaxies embedded in a dark cluster halo. We find that strongly lensed arcs of highredshift galaxies show complex velocity structures that are sensitive to the details of the mass distribution within the cluster, in particular at small scales. From fits to the simulated imaging and kinematic data, we demonstrate that reconstruction of the source velocity field is in principle feasible. Two-dimensional kinematic information obtained with integral field units on large ground-based telescopes in combination with adaptive optics will allow the reconstruction of rotation curves of lensed high redshift galaxies. This makes it possible to determine the mass-to-light ratios of galaxies at redshifts z > 1 out to about 2‐3 scalelengths with better than ∼20 per cent accuracy. We also discuss the possibilities of using two-dimensional kinematic information along the arcs to give additional constraints on the cluster lens mass models. Ke yw ords: gravitational lensing ‐ techniques: interferometric ‐ galaxies: high-redshift ‐ galaxies: kinematics and dynamics ‐ dark matter.
Adaptive parallel implementation of the Combinatorial GMDH algorithm

The combinatorial algorithm of the Group Method of Data Handling is a compute intensive modelling method well proven for analysis and forecast of a variety of complex systems especially of the so-called “black-box” type. The algorithm is highly dependent on computational power that makes the use of multiprocessing reasonable. To exploit efficiently different kinds of multiprocessor computer systems we propose an adaptive parallel implementation of the combinatorial GMDH algorithm and an example of its usage for the forecasting of the “Top500 Supercomputer’s List”.
Metrics and outcomes of conservation education: a quarter century of lessons learned

Abstract We conducted a systematic literature review to analyze evaluations of conservation education programs on a global scale in order to better understand (1) temporal and spatial trends in conservation education program evaluations over the last 25 years, (2) patterns in the types of conservation-related issues addressed through these programs, (3) metrics that indicate effectiveness of conservation education programs, and (4) methods and timeframes used to draw conclusions about program outcomes. Findings indicated that there is a need to better connect the types of issues addressed through conservation education programs with metrics that would indicate success in addressing these issues and the actual outcomes measured and reported. As well, there is an opportunity to employ a variety of metrics and methods for evaluating program outcomes, particularly in developing countries, by focusing on cognitive and behavioral components as well as social and ecological ones. Finally, shifting to a more comprehensive strategy for evaluating multiple outcomes in different cultural contexts would provide opportunities for utilizing mixed methods and qualitative approaches in partnership with community stakeholders.