Miracle-dz/UniFAR-FTUs huggingface dataset:
Experts’ Retrieval with Multiword-Enhanced Author Topic Model

In this paper, we propose a multiword-enhanced author topic model that clusters authors with similar interests and expertise, and apply it to an information retrieval system that returns a ranked list of authors related to a keyword. For example, we can retrieve Eugene Charniak via search for statistical parsing. The existing works on author topic modeling assume a "bag-of-words" representation. However, many semantic atomic concepts are represented by multiwords in text documents. This paper presents a pre-computation step as a way to discover these multiwords in the corpus automatically and tags them in the term-document matrix. The key advantage of this method is that it retains the simplicity and the computational efficiency of the unigram model. In addition to a qualitative evaluation, we evaluate the results by using the topic models as a component in a search engine. We exhibit improved retrieval scores when the documents are represented via sets of latent topics and authors.
Channel modeling and simulation in satellite mobile communication systems

An analog model describing signal amplitude and phase variations on shadowed satellite mobile channels is proposed. A linear combination of log-normal, Rayleigh, and Rice models is used to describe signal variations over an area with constant environment attributes while an M-state Markov chain is applied to represent environment parameter variations. Channel parameters are evaluated from the experimental data and utilized to verify a simulation model. Results, presented in the form of signal waveforms, probability density functions, fade durations, and average bit and block error rates, show close agreement with measurements. >
Integrins in T Cell Physiology

From the thymus to the peripheral lymph nodes, integrin-mediated interactions with neighbor cells and the extracellular matrix tune T cell behavior by organizing cytoskeletal remodeling and modulating receptor signaling. LFA-1 (αLβ2 integrin) and VLA-4 (α4β1 integrin) play a key role throughout the T cell lifecycle from thymocyte differentiation to lymphocyte extravasation and finally play a fundamental role in organizing immune synapse, providing an essential costimulatory signal for the T cell receptor. Apart from tuning T cell signaling, integrins also contribute to homing to specific target organs as exemplified by the importance of α4β7 in maintaining the gut immune system. However, apart from those well-characterized examples, the physiological significance of the other integrin dimers expressed by T cells is far less understood. Thus, integrin-mediated cell-to-cell and cell-to-matrix interactions during the T cell lifespan still represent an open field of research.
Accuracy Analysis of the Two-Reference-Node Angle-of-Arrival Localization System

The accuracy of two-reference-node angle-of-arrival localization system is investigated. First, the localization ambiguity area is obtained in terms of the angles-of-arrival errors. Then, using this area, the normalized localization precision is defined to obtain the target localization accuracy in different positions with respect to the two reference nodes. In addition, for a given normalized localization precision threshold, the region in which a target can be localized with better localization accuracy than that threshold is characterized and the area of the region is obtained.
Problem Generation: Evaluation of Two Domains in Operating Systems

Our work on courseware involves generating problems to test a user’s learning. V~re propose to generate these problems dynamically in order to present azl endless supply of problems to the user. In order to faeilitate the user’s learning, we waz~t to vary the "challenge" of the dynamically generated problems. Our current task is to identify a measure of "challenge" in problems on a topic, so that wc can systematize and automate variations in the challenge of dynamically generated problems. We propose to use a measure of "challenge" of problems based on analysis of the knowledge/ability necessary to solve problems in a given domain. By limiting such knowledge/ability to the minimum necessary to solve a problem, ~ attempt to avoid counting as evidence of learning, any serendipitous solving of problems. In this paper, we analyze two different problem domains in Operating Systems in an attempt to derive measures of "challenge" for problems in those domains: storage placement, and proce~or scheduling. For these domains, we identify taxonomies of problems based on the minimum knowledge/ability required to solve them. We tentatively generalize the taxonomies to derive a measure of "challenge" for a class of scheduling problems dealing with discrete quantities.
An aptamer targeting shared tumor‐specific peptide antigen of MAGE‐A3 in multiple cancers

A DNA aptamer was identified against the shared tumor‐specific MAGE‐A3111–125 peptide antigen. The dissociation constant between the aptamer and the peptide was measured at 57 nM. Binding of the aptamer to seven types of cancer cells, melanoma, breast, colorectal, liver, lung, pancreas and oral cancer, was confirmed with flow cytometry and fluorescence imaging. Cy3‐conjugated aptamers signals were specifically localized to the surface of those cancer cells. The results indicate that the DNA aptamer against the shared tumor‐specific MAGE‐A3 peptide can be used in cancer cell targeting and has the potential for developing into new modalities for the diagnosis of multiple cancers.
ECM‐Dependence of Endothelial Progenitor Cell Features

Preserving self‐renewal, multipotent capacity, and large‐scale expansion of highly functional progenitor cells, including endothelial progenitor cells (EPCs), is a controversial issue. These current limitations, therefore, raise the need of developing promising in vitro conditions for prolonged expansion of EPCs without loss of their stemness feature. In the current study, the possible role of three different natural extracellular substrates, including collagen, gelatin, and fibronectin, on multiple parameters of EPCs such as cell morphology, phenotype, clonogenic, and vasculogenic properties was scrutinized. Next, EPCs from GFP‐positive mice were pre‐expanded on each of these ECM substrates and then systemically transplanted into sublethaly irradiated mice to analyze the potency of these cells for marrow reconstitution. Our results revealed considerable promise for fibronectin for EPC expansion with maintenance of stemness characteristics, whereas gelatin and collagen matrices directed the cells toward a mature endothelial phenotype. Transplantation of EPCs pre‐expanded on fibronectin resulted in widespread distribution and appropriate engraftment to various tissues with habitation in close association with the microvasculature. In addition, fibronectin pre‐expanded cells were gradually enriched in the bone marrow after transplantation, resulting in marrow repopulation and hematologic recovery, leading to improved survival of recipient mice whereas gelatin‐ and collagen‐expanded cells failed to reconstitute the bone marrow. This study demonstrated that, cell characteristics of in vitro expanded EPCs are determined by the subjacent matrix. Fibronectin‐expanded EPCs are heralded as a source of great promise for bone marrow reconstitution and neo‐angiogenesis in therapeutic bone marrow transplantation. J. Cell. Biochem. 117: 1934–1946, 2016. © 2016 Wiley Periodicals, Inc.
Music Recommendation from Song Sets

music analysis, information retrieval, multimedia indexing We motivate the problem of music recommendation based solely on acoustics from groups of related songs or 'song sets'. We propose four solutions which can be used with any acoustic-based similarity measure. The first builds a model for each song set and recommends new songs according to their distance from this model. The next three approaches recommend songs according to the average, median and minimum distance to songs in the song set. For a similarity measure based on K means models of MFCC features, experiments on a database of 18647 songs indicated that the minimum distance technique is the most effective, returning a valid recommendation as one of the top 5 32.5% of the time. The approach based on the median distance was the next best, returning a valid recommendation as one of the top 5 29.5% of the time.
Audiograf: a diagram-reader for the blind

In technical reports and papers interrelations are often represented as diagrams. With the aid of a touch panel and auditory display AudioGraf enables blind and visually impaired people to read such diagrams. The diagram is displayed on the touch panel where a part can be selected with a finger. The selected part will be auditorally displayed. If the finger is moved, another part is selected and auditorally displayed. This way the whole diagram can be explored in an audio-tactile way. A model of this audio-tactile exploration is presented. Based on this model it is explained how AudioGraf supports the user. Usability tests have shown that simple diagrams can be read by blind users within relative short time.
A survey of intelligent assistants for data analysis

Research and industry increasingly make use of large amounts of data to guide decision-making. To do this, however, data needs to be analyzed in typically nontrivial refinement processes, which require technical expertise about methods and algorithms, experience with how a precise analysis should proceed, and knowledge about an exploding number of analytic approaches. To alleviate these problems, a plethora of different systems have been proposed that “intelligently” help users to analyze their data. This article provides a first survey to almost 30 years of research on intelligent discovery assistants (IDAs). It explicates the types of help IDAs can provide to users and the kinds of (background) knowledge they leverage to provide this help. Furthermore, it provides an overview of the systems developed over the past years, identifies their most important features, and sketches an ideal future IDA as well as the challenges on the road ahead.
Single-crystal elastic properties of dense hydrous magnesium silicate phase A

Abstract The single-crystal elastic properties of phase A have been investigated by Brillouin spectroscopy at ambient conditions. The Voigt-Reuss-Hill average for the adiabatic bulk and shear moduli are KS = 106(1) GPa and µ = 61(1) GPa, respectively. The present acoustic measurements resolve discrepancies between the bulk moduli obtained in earlier compression studies. The axial compressibility of the hexagonal (P63) structure is highly anisotropic with the c-axis, which is perpendicular to the distorted close-packed layers, approximately 21% stiffer than the a-axis, in agreement with previous compression studies. The hydration of forsterite to phase A decreases the bulk and shear moduli by about 18 and 21%, respectively, while both compressional VP and shear VS wave velocities decrease by about 7%. These results suggest that water could be identified seismologically if phase A is present in abundance in cold subducted slabs.
Identification of ezrin as a target of gastrin in immature mouse gastric parietal cells

The gastric acid‐secreting parietal cell exhibits profound morphological changes on stimulation. Studies in gastrin null (Gas‐KO) mice indicate that maturation of parietal cell function depends on the hormone gastrin acting at the G‐protein‐coupled cholecystokinin 2 receptor. The relevant cellular mechanisms are unknown. The application of differential mRNA display to samples of the gastric corpus of wild‐type (C57BL/6) and Gas‐KO mice identified the cytoskeletal linker protein, ezrin, as a previously unsuspected target of gastrin. Gastrin administered in vivo or added to gastric glands in vitro increased ezrin abundance in Gas‐KO parietal cells. In parietal cells of cultured gastric glands from wild‐type mice treated with gastrin, histamine or carbachol, ezrin was localized to vesicular structures resembling secretory canaliculi. In contrast, in cultured parietal cells from Gas‐KO mice, ezrin was typically distributed in the cytosol, and this did not change after incubation with gastrin, histamine or carbachol. However, priming with gastrin for approximately 24 h, either in vivo prior to cell culture or by addition to cultured gastric glands, induced the capacity for secretagogue‐stimulated localization of ezrin to large vesicular structures in Gas‐KO mice. Similarly, in a functional assay based on measurement of intracellular pH, cultured parietal cells from Gas‐KO mice were refractory to gastrin unless primed. The priming effect of gastrin was not attributable to the paracrine mediator histamine, but was prevented by inhibitors of protein kinase C and transactivation of the epidermal growth factor receptor. We conclude that in gastrin null mice there is reduced ezrin expression and a defect in ezrin subcellular distribution in gastric parietal cells, and that both can be reversed by priming with gastrin.
Seasonal H3N2 influenza A virus fails to enhance Staphylococcus aureus co-infection in a non-human primate respiratory tract infection model

Staphylococcus aureus community-acquired pneumonia is often associated with influenza or an influenza-like syndrome. Morbidity and mortality due to methicillin-resistant S. aureus (MRSA) or influenza and pneumonia, which includes bacterial co-infection, are among the top causes of death by infectious diseases in the United States. We developed a non-lethal influenza A virus (IAV) (H3N2)/S. aureus co-infection model in cynomolgus macaques (Macaca fascicularis) to test the hypothesis that seasonal IAV infection predisposes non-human primates to severe S. aureus pneumonia. Infection and disease progression were monitored by clinical assessment of animal health; analysis of blood chemistry, nasal swabs, and X-rays; and gross pathology and histopathology of lungs from infected animals. Seasonal IAV infection in healthy cynomolgus macaques caused mild pneumonia, but unexpectedly, did not predispose these animals to subsequent severe infection with the community-associated MRSA clone USA300. We conclude that in our co-infection model, seasonal IAV infection alone is not sufficient to promote severe S. aureus pneumonia in otherwise healthy non-human primates. The implication of these findings is that comorbidity factors in addition to IAV infection are required to predispose individuals to secondary S. aureus pneumonia.
Facial Feature Detection Using Generalized LVQ and Facial Shape Model

A method for detecting the facial feature points, such as the pupil, subnasal point, and corners of the mouth, is proposed. The proposed method is composed of two stages: candidate detection of facial feature points and optimization of these points by using a facial shape model. The candidates for each facial-feature-point are extracted from a face image by using generalized learning vector quantization classifiers, and the most suitable facial feature points are then selected from the facial feature point candidates obtained in the first stage. The facial shape model is utilized to constrain the alignment of facial feature points while abnormal candidates are estimated by the least-median-of-squares method. Experiments using a large still-face dataset with various illumination conditions demonstrate that the proposed method can extract facial features precisely under varying illumination and facial-expression conditions.
Modelling the Rubbing Process in Labyrinth Seals

To understand the complex rubbing process between labyrinth seal fins and honeycomb liners, experimental investigations are considered for an idealized contact between a metal sheet, representing the honeycomb part, and a rotating seal fin. Modifications of our test rig allow to measure the resulting rub forces, temperatures and wear of the seal fin and metal sheet for a wide range of circumferential velocities and incursion rates. The rotor material is Inconel 718, and the metal sheets consist of the nickel-based super-alloys Hastelloy X and Haynes 214. To define appropriate boundary conditions for the experiment, a one-dimensional numerical model is introduced. It takes into account kinematic contact conditions, friction, heat conduction, and abrasive and plastic wear. The use of analytical relations and parallel computing enables a time-efficient computation of multiple scenarios. Therefore, it is possible to identify the effect of variations and uncertainties of the input parameters on the results and derive an optimized test plan.
Gender dimorphism in regulation of plasma proteins in streptozotocin‐induced diabetic rats

In the present study, we examined differentially regulated plasma proteins between healthy control and streptozotocin (STZ)‐induced male and female diabetic rats by 2DE‐based proteomic analysis. Animal experiments revealed that significantly lower plasma insulin levels were observed in female diabetic rats, consequently resulting in higher blood glucose levels in female diabetic rats. Importantly, plasma levels of sex hormones were significantly altered in a gender‐dependent manner before and after STZ treatment. Results of the animal experiment indicated the existence of sexual dimorphism in the regulation of plasma proteins between healthy control and diabetic rats. Plasma proteome analysis enabled us to identify a total of 38 proteins showing sexual dimorphic regulation patterns. In addition, for the first time, we identified several differentially regulated plasma proteins between healthy control and diabetic rats, including apolipoprotein E, fetuin B, α‐1‐acid glycoprotein, β‐2‐glycoprotein 1, 3‐hydroxyanthranilate 3,4‐dioxygenase, and serum amyloid P‐component. To the best of our knowledge, this is the first proteomic approach to address sexual dimorphism in diabetic animals. These proteomic data on gender‐dimorphic regulation of plasma proteins provide valuable information that can be used for evidence‐based gender‐specific clinical treatment of diabetes.
On Convergence Rate of Distributed Stochastic Gradient Algorithm for Convex Optimization with Inequality Constraints

In this paper, we consider an optimization problem, where multiple agents cooperate to minimize the sum of their local individual objective functions subject to a global inequality constraint. We propose a class of distributed stochastic gradient algorithms that solve the problem using only local computation and communication. The implementation of the algorithms removes the need for performing the intermediate projections. For strongly convex optimization, we employ a smoothed constraint incorporation technique to show that the algorithm converges at an expected rate of $\mathcal{O}(\ln T / T)$ (where $T$ is the number of iterations) with bounded gradients. For non-strongly convex optimization, we use a reduction technique to establish an $\mathcal{O}(1/\sqrt{T})$ convergence rate in expectation. Finally, a numerical example is provided to show the convergence of the proposed algorithms.
Performance Comparison of Gender and Age Group Recognition for Human-Robot Interaction

In this paper, we focus on performance comparison of gender and age group recognition to perform robot's application services for Human-Robot Interaction (HRI). HRI is a core technology that can naturally interact between human and robot. Among various HRI components, we concentrate audio-based techniques such as gender and age group recognition from multichannel microphones and sound board equipped with robots. For comparative purposes, we perform the performance comparison of Mel-Frequency Cepstral Coefficients (MFCC) and Linear Prediction Coding Coefficients (LPCC) in the feature extraction step, Support Vector Machine (SVM) and C4.5 Decision Tree (DT) in the classification step. Finally, we deal with the usefulness of gender and age group recognition for human- robot interaction in home service robot environments. Keywords-gender recognition; age group recognition; human-robot interaction.  m n ) m n ( w ) m ( x E
Cohort Profile: The China Health and Nutrition Survey--monitoring and understanding socio-economic and health change in China, 1989-2011.

This research journal article presents a detailed overview of a cohort profile of the China Health and Nutrition Survey (CHNS) which allows for the monitoring and understanding of socio-economic and health change in China from 1989-2011. The author discusses the history and development of the CHNS as a result of the countrys transformations since Chinas reform and open policy. The CHNS was established with the goal to develop a multipurpose longitudinal survey that would allow the research group to examine a series of economic sociological demographic and health questions. The article describes the design of the survey to include in-depth coverage at the individual household and community levels though it was not designed to be representative of China but to be randomly selected and capture a range of economic and demographic circumstances. It provides data randomly from eight different provinces and rounds have been completed nearly every three years since 1989. Though they are very complex to determine with the survey response rates and attrition are assessed along with descriptions of changes in lost-to-follow-up rates. The article describes key finds and publications to be numerous including links to obesity from occupation and transportation; nutrition and chronic disease; and important policy results for agriculture and poverty reduction programs. Lastly the author provides a summary of the CHNSs strengths and weaknesses and recommendations for accessing the data and further information.
Intemal correction of dead-reckoning errors with a dual-drive compliant linkage mobil robot

This paper presents internal position error correction (IPEC)—a new method for accurate and reliable dead-reckoning with mobile robots. The IPEC method has been implemented on our recently developed multi-degree-of-freedom (MDOF) mobile platform, a vehicle in which two differential-drive mobile robots (called trucks) are physically connected through a compliant linkage. In addition to its four wheel encoders, the MDOF platform has one linear and two rotary internal encoders, which allow measurement of the relative distance and bearing between the two trucks. During operation, both trucks perform conventional dead-reckoning with their wheel encoders. But, in addition, the IPEC method uses information from the internal encoders to detect and correct dead-reckoning errors as soon as they occur. Our system, called compliant linkage autonomous platform with position error recovery (CLAPPER), requires neither external references (such as navigation beacons, artificial landmarks, known floorplans, or satellite signals), nor inertial navigation aids (such as accelerometers or gyros). Nonetheless, the experimental results included in this article show one to two orders of magnitude better positioning accuracy than systems based on conventional dead-reckoning. The CLAPPER corrects not only systematic errors, such as different wheel diameters, but also non-systematic errors, such as those caused by floor roughness, bumps, or cracks in the floor. These features are made possible by exploiting the new growth-rate concept for dead-reckoning errors that is introduced in this article for the first time. The growth-rate concept distinguishes between certain dead-reckoning errors that develop slowly and other dead-reckoning errors that develop quickly. Based on this concept, truck A frequently measures a property with slow-growing error characteristics on reference truck B (thus admitting a small error) to detect a fast-growing error on truck A (thus correcting a large error), and vice versa. © 1995 John Wiley & Sons, Inc.