Miracle-dz/UniFAR-FTUs huggingface dataset:
A semi-supervised method for topic extraction from micro postings

Abstract Social networking services have become a major channel for the digital society to share content, opinions, experiences on activities or events, as well as on products, services and brands. Evaluating digital feedback on the latter can be a valuable asset for companies seeking product and consumer insights. However, the analysis of short, noisy, fragmented, and often subjective textual data still remains a challenge. Typically, the human analyst needs to be actively involved during extraction and modeling to resolve ambiguities that will inevitable arise in such data and to put the model into context. This paper proposes a visual analytics approach that enables a first intuition and exploration of topics appearing in the text corpus, and facilitates the interactive-iterative refinement of the overall topic model describing the stream of tweets. A second contribution is the discussion of efficient graph community detection algorithms to extract initial topics as the starting point of interactive analysis that complement approaches such as LDA. The applicability and utility of the proposed approach is shown for a real-world use case: the analysis of product insights and topic-driven social networks analysis for a specific product line for an international hair styling and cosmetics company.
Prevalence of Hepatitis B Surface Antigen in US-Born and Foreign-Born Asian/Pacific Islander College Students

Abstract The prevalence of chronic hepatitis B (HBV) among college-age US-born Asian and Pacific Islanders (A/PI) is not well known. Objectives: To compare the prevalence of hepatitis B surface antigen (HBsAg) seropositivity in US-born to A/PI-born students at a public university. Participants: Undergraduate who self-identified themselves as A/PI. Results: Of 145 US-born A/PI, 1.4% (confidence interval [CI] = 0.0%, 3.3%) tested positive for HBsAg compared to 3.3% (CI = 0.5%, 6.1%) of the 152 A/PI-born students. Approximately 1/3 of all students were unaware of their HBV vaccination status. Conclusions: HBsAg prevalence among A/PI undergraduates, including US-born, is considerably higher (3 to 11 times) than the mainstream US population (0.3% to 0.5%) and supports the Centers for Disease Control and Prevention (CDC) recommendations for testing all persons of A/PI ancestry, including US-born persons whose parents were born in regions with HBsAg prevalence of ≥8%. Awareness of HBV vaccination status was relatively low and vaccination did not assure that individuals were HBsAg negative.
Infant-mother attachment and the growth of externalizing problems across the primary-school years

Background : Some contend that attachment insecurity increases risk for the development of externalizing behavior problems in children. Method: Latent-growth curve analyses were applied to data on 1364 children from the NICHD Study of Early Child Care to evaluate the association between early attachment and teacher-rated externalizing problems across the primary-school years. Results: Findings indicate that (a) both avoidant and disorganized attachment predict higher levels of externalizing problems but (b) that effects of disorganized attachment are moderated by family cumulative contextual risk, child gender and child age, (c) with disorganized boys from risky social contexts manifesting increases in behavior problems over time. Conclusions: These findings highlight the potentially conditional role of early attachment in children’s externalizing behavior problems and the need for further research evaluating causation and mediating mechanisms. measurement protocols for attachment that would allow rigorous use of longitudinal cross-lagged designs in order to address the causal status of the association between attachment and externalizing behavior problems. Intervention trials with long-term follow-up, ideally conducted in high-risk populations, could yield valuable information on this critical issue, while also advancing the science and practice of prevention.
Mycoflora of poultry feeds and mycotoxins producing potential of Aspergillus species.

The aim of this study was to determine the mycoflora of poultry feeds and evaluate the aflatoxin and ochratoxins producing ability of isolated Aspergillus species. One hundred and nineteen samples of commercially prepared and farm mixed feeds were collected during 2005- 2007. The samples were inoculated on potato dextrose agar, Czapek dox solution agar, Czapek yeast autolysate agar and yeast extract sucrose (YES) agar. Mycotoxins analysis of plate cultures was performed by a HPLC technique. Fungal contamination of commercially prepared and farm-mixed and total feeds was 69.66 and 83.33 and 73.10%. Aspergillus species were the most predominant followed by Penicillium, Fusarium and Alternaria. Among the Aspergillus isolates, A. niger aggregates (37.74%) was most frequently isolated species followed by A. flavus (22.64), A. ochraceous (16.98%), A. parasiticus (13.21%), A. carbonarius (3.77%), A. fumigatus (3.77%) and A. oryzae (1.89%). Proportion of toxigenic fungi among Aspergillus isolates was 73.58%. Aflatoxigenic isolates of A. flavus and A. parasiticus were 83.33% and 85.71% while ochratoxigenic isolates of A. carbonarius, A. niger aggregates and A. ochraceous were 50, 65 and 100%, respectively. On YES medium toxigenic Aspergillus isolates produced aflatoxins varying from 0.00095 to1.9807 µg/g whereas ochratoxin A production varied from 0.00136 to 16.7168 µg/g.
Signal classification using statistical moments

An automatic modulation classification algorithm utilizing the statistical moments of the signal phase is developed and used to classify the modulation type of general M-ary PSK signals. It is shown that the nth moment (n even) of the phase of the signal is a monotonic increasing function of M. On the basis of this property, the authors formulate a general hypothesis test, develop a decision rule, and derive an analytic expression for the probability of misclassification. Two examples are given to demonstrate the performance of the algorithm. The algorithm is compared with the quasi-log-likelihood radio (qLLRC), square-law (SLC), and phase-based (PBC) classifiers. The algorithm is outperformed by qLLRC at low CNR but is comparable to SLC and is better than PBC. The qLLRC algorithm is only valid at CNR >
Dynamic positioning and way-point tracking of underactuated AUVs in the presence of ocean currents

This paper addresses the problem of dynamic positioning and way-point tracking of underactuated autonomous underwater vehicles (AUVs) in the presence of constant unknown ocean currents and parametric model uncertainty. A nonlinear adaptive controller is proposed that steers an AUV so as to track a sequence of points consisting of desired positions (x, y) in an inertial reference frame, followed by vehicle positioning at the final target point. The controller is first derived at the kinematic level assuming that the ocean current disturbance is known. An exponential observer is then designed and convergence of the resulting closed loop system trajectories is analyzed. Finally, integrator backstepping and Lyapunov based techniques are used to extend the kinematic controller to the dynamic case and to deal with model parameter uncertainty. Simulation results are presented and discussed.
Diagnostic Accuracy of Panoramic Radiography in Determining the Position of Impacted Third Molars in Relation to the Inferior Dental Canal Compared with Surgery

Background/Objective: Extraction of the third lower molar tooth is one of the common surgical procedures that may lead to the damage of the infra-alveolar nerve. This damage could be related to deep impacted third molar teeth and roots close to the mandibular canal. Therefore, the radiography evaluation of the position of this tooth in relation to the inferior dental canal is important before surgery. Patients and Methods: In this cross-sectional descriptive study, 59 patients who were referred to maxillofacial surgeons for third molar tooth surgery, and had a panoramic radiography were enrolled into the study. The positions of the impacted teeth in the panoramic radiography were determined according to their relation to the mandibular canal and were reported as five different subgroups (A, B, C, D and E). Cases which were not classified in any of these subgroups were considered as F. The surgeon also determined the position of the impacted teeth after surgery based on the mentioned classification. To assess the correlation of the data, Kappa analysis was used. Results: Kappa statistics for agreement between radiography and surgery was 0.85 (p<0.001). Conclusion: According to this study, radiological assessment before third molar tooth surgery can reduce the risk of conceivable damage to the canal and nerve. It is recommended to consider the radiologists opinion before surgery.
The Knowledge Awakens: Keeping Knowledge Bases Fresh with Emerging Entities

Entity search over news, social media and the Web allows users to precisely retrieve concise information about specific people, organizations, movies and their characters, and other kinds of entities. This expressive search mode builds on two major assets: 1) a knowledge base (KB) that contains the entities of interest and 2) entity markup in the documents of interest derived by automatic disambiguation of entity names (NED) and linking names to the KB. These prerequisites are not easily available, though, in the important case when a user is interested in a newly emerging entity (EE) such as new movies, new songs, etc. Automatic methods for detecting and canonicalizing EEs are not nearly at the same level as the NED methods for prominent entities that have rich descriptions in the KB. To overcome this major limitation, we have developed an approach and prototype system that allows searching for EEs in a user-friendly manner. The approach leverages the human in the loop by prompting for user feedback on candidate entities and on characteristic keyphrases for EEs. For convenience and low burden on users, this process is supported by the automatic harvesting oftentative keyphrases. Our demo system shows this interactive process and its high usability.
A combinatorial design approach to MAXCUT

The k-MAXCUT problem for undirected graphs G=(V, E) consists of finding a partition such that the number of edges with endpoints in two different sets Vi is maximized. We offer a new approach to this problem by showing that the combinatorial notion of block designs can be used to algorithmically obtain partitions which achieve lower bounds for which until now only existence proofs were known.
GPU Implementation of Bitplane Coding with Parallel Coefficient Processing for High Performance Image Compression

The fast compression of images is a requisite in many applications like TV production, teleconferencing, or digital cinema. Many of the algorithms employed in current image compression standards are inherently sequential. High performance implementations of such algorithms often require specialized hardware like field integrated gate arrays. Graphics Processing Units (GPUs) do not commonly achieve high performance on these algorithms because they do not exhibit fine-grain parallelism. Our previous work introduced a new core algorithm for wavelet-based image coding systems. It is tailored for massive parallel architectures. It is called bitplane coding with parallel coefficient processing (BPC-PaCo). This paper introduces the first high performance, GPU-based implementation of BPC-PaCo. A detailed analysis of the algorithm aids its implementation in the GPU. The main insights behind the proposed codec are an efficient thread-to-data mapping, a smart memory management, and the use of efficient cooperation mechanisms to enable inter-thread communication. Experimental results indicate that the proposed implementation matches the requirements for high resolution (4 K) digital cinema in real time, yielding speedups of 30<inline-formula> <tex-math notation="LaTeX">$\times$</tex-math><alternatives><inline-graphic xlink:href="aulillinas-ieq1-2657506.gif"/> </alternatives></inline-formula> with respect to the fastest implementations of current compression standards. Also, a power consumption evaluation shows that our implementation consumes 40<inline-formula><tex-math notation="LaTeX"> $\times$</tex-math><alternatives><inline-graphic xlink:href="aulillinas-ieq2-2657506.gif"/></alternatives> </inline-formula> less energy for equivalent performance than state-of-the-art methods.
Mechanism of Aldolase Control of Sorting Nexin 9 Function in Endocytosis*

Sorting nexin 9 (SNX9) functions in a complex with the GTPase dynamin-2 at clathrin-coated pits, where it provokes fission of vesicles to complete endocytosis. Here the SNX9·dynamin-2 complex binds to clathrin and adapter protein complex 2 (AP-2) that line these pits, and this occurs through interactions of the low complexity domain (LC4) of SNX9 with AP-2. Intriguingly, localization of the SNX9·dynamin-2 complex to clathrin-coated pits is blocked by interactions with the abundant glycolytic enzyme aldolase, which also binds to the LC4 domain of SNX9. The crystal structure of the LC4 motif of human SNX9 in complex with aldolase explains the biochemistry and biology of this interaction, where SNX9 binds near the active site of aldolase via residues 165–171 that are also required for the interactions of SNX9 with AP-2. Accordingly, SNX9 binding to aldolase is structurally precluded by the binding of substrate to the active site. Interactions of SNX9 with aldolase are far more extensive and differ from those of the actin-nucleating factor WASP with aldolase, indicating considerable plasticity in mechanisms that direct the functions of the aldolase as a scaffold protein.
Bienestar Subjetivo y Calidad de Vida en la Infancia en Chile

El articulo presenta los resultados de la Encuesta Internacional sobre Bienestar Subjetivo infantil (ISCWeB), aplicada en Chile en el ano 2012. El cuestionario fue aplicado a una muestra de 2.734 ninos y ninas, de 8, 10 y 12 anos, residentes de las tres principales zonas urbanas del pais. Los resultados dan cuenta de una alta satisfaccion con la vida, existiendo diferencias al considerar las variables nivel socioeconomico y sexo, asi como tambien distintos aspectos. Los ambitos mejor evaluados corresponden a la familia, bienes materiales, y salud; en detrimento de aspectos como el barrio y el colegio. Asimismo, se observa que el conocimiento y percepcion de que se respetan los derechos de los ninos y ninas, disminuye con la edad. Las conclusiones enfatizan la necesidad de profundizar en el estudio de esta tematica.
An Attributed Graph Kernel from the Jensen-Shannon Divergence

Bai and Hancock recently proposed a novel information theoretic kernel for graphs, namely the Jensen-Shannon graph kernel. One drawback of their approach is that it cannot be applied to either attributed or labeled graphs. In this paper, we aim to define a new Jensen-Shannon diffusion kernel for attributed graphs. We commence by using a tree-index based label strengthening method on an attributed graph with the objection of strengthening the vertex labels. We compute a label entropy to measure the uncertainty of the strengthened labels. With the required label entropies for a pair of graphs to hand, a new kernel for the pair of graphs can be defined by measuring the Jensen-Shannon divergence between the entropies. As the strengthened label of a vertex corresponds to a sub tree rooted at the vertex, the label entropy of a graph is determined by all sub trees identified by the tree-index algorithm. As a result, unlike most existing graph kernels in the literature which merely enumerate pairs of isomorphic substructures, our method incorporates all the identified sub trees into the computation of the kernel. The new kernel thus overcomes the shortcoming of discarding substructures having no corresponding isomorphic substructures. We explore our kernel on several graph datasets abstracted from bioinformatics databases.
Aetiology and prognostic factors in acute liver failure in India

Summary. The early prognostic indicators for acute liver failure in endemic zones for hepatitis E virus have not been determined. All consecutive patients with acute liver failure from a geographically defined region endemic for hepatitis E virus were studied over the period April 1989–April 1996. Demographic, clinical and biochemical parameters were recorded at presentation and serum samples were analysed for known viral hepatitis (A–E) markers. Multiple parameters were compared in survivors and non‐survivors in a univariate analysis. All significant factors on univariate analysis were entered into a stepwise logistic regression analysis to identify independent variables of prognosis. The sensitivity and specificity of significant prognostic factors was then assessed.
Erzhi Pill® Repairs Experimental Liver Injury via TSC/mTOR Signaling Pathway Inhibiting Excessive Apoptosis

The present study aimed to investigate the mechanism of hepatoprotective effect of Erzhi Pill (EZP) on the liver injury via observing TSC/mTOR signaling pathway activation. The experimental liver injury was induced by 2-acetylaminofluorene (2-AAF) treatment combined with partial hepatectomy (PH). EZP treated 2-AAF/PH-induced liver injury by the therapeutic and prophylactic administration. After the administration of EZP, the activities of aspartic transaminase (AST), alanine aminotransferase (ALT), alkaline phosphatase (AKP), and gamma-glutamyl transpeptidase (γ-GT) were decreased, followed by the decreased levels of hepatocyte apoptosis and caspase-3 expression. However, the secretion of albumin, liver weight, and index of liver weight were elevated. Microscopic examination showed that EZP restored pathological liver injury. Meanwhile, Rheb and mammalian target of rapamycin (mTOR) activation were suppressed, and tuberous sclerosis complex (TSC) expression was elevated in liver tissues induced by 2-AAF/PHx and accompanied with lower-expression of Bax, Notch1, p70S6K, and 4E-EIF and upregulated levels of Bcl-2 and Cyclin D. Hepatoprotective effect of EZP was possibly realized via inhibiting TSC/mTOR signaling pathway to suppress excessive apoptosis of hepatocyte.
Nematode-Bacterium Symbioses—Cooperation and Conflict Revealed in the “Omics” Age

Nematodes are ubiquitous organisms that have a significant global impact on ecosystems, economies, agriculture, and human health. The applied importance of nematodes and the experimental tractability of many species have promoted their use as models in various research areas, including developmental biology, evolutionary biology, ecology, and animal-bacterium interactions. Nematodes are particularly well suited for the investigation of host associations with bacteria because all nematodes have interacted with bacteria during their evolutionary history and engage in a variety of association types. Interactions between nematodes and bacteria can be positive (mutualistic) or negative (pathogenic/parasitic) and may be transient or stably maintained (symbiotic). Furthermore, since many mechanistic aspects of nematode-bacterium interactions are conserved, their study can provide broader insights into other types of associations, including those relevant to human diseases. Recently, genome-scale studies have been applied to diverse nematode-bacterial interactions and have helped reveal mechanisms of communication and exchange between the associated partners. In addition to providing specific information about the system under investigation, these studies also have helped inform our understanding of genome evolution, mutualism, and innate immunity. In this review we discuss the importance and diversity of nematodes, “omics”’ studies in nematode-bacterial systems, and the wider implications of the findings.
Characterization of enzymatic D‐xylulose 5‐phosphate synthesis

In this article we report on the characterization of the enzymatic synthesis of D‐xylulose 5‐phosphate using triosephosphate isomerase and transketolase. Two potential starting substrates are possible with this scheme. The data presented here allow a comparison of both routes for the synthesis, based on experimental information on reaction kinetics. Operational guidelines are proposed which should assist in the scale‐up of such syntheses. Biotechnol. Bioeng. 2008;101: 761–767. © 2008 Wiley Periodicals, Inc.
Multiple stellar populations in Magellanic Cloud clusters - IV. The double main sequence of the young cluster NGC 1755

Nearly all the star clusters with ages of ~1-2 Gyr in both Magellanic Clouds exhibit an extended main-sequence turn off (eMSTO) whose origin is under debate. The main scenarios suggest that the eMSTO could be either due to multiple generations of stars with different ages or to coeval stellar populations with different rotation rates. In this paper we use Hubble-Space-Telescope images to investigate the ~80-Myr old cluster NGC1755 in the LMC. We find that the MS is split with the blue and the red MS hosting about the 25% and the 75% of the total number of MS stars, respectively. Moreover, the MSTO of NGC1755 is broadened in close analogy with what is observed in the ~300-Myr-old NGC1856 and in most intermediate-age Magellanic-Cloud clusters. We demonstrate that both the split MS and the eMSTO are not due to photometric errors, field-stars contamination, differential reddening, or non-interacting binaries. These findings make NGC1755 the youngest cluster with an eMSTO. We compare the observed CMD with isochrones and conclude that observations are not consistent with stellar populations with difference in age, helium, or metallicity only. On the contrary, the split MS is well reproduced by two stellar populations with different rotation, although the fit between the observed eMSTO and models with different rotation is not fully satisfactory. We speculate whether all stars in NGC1755 were born rapidly rotating, and a fraction has slowed down on a rapid timescale, or the dichotomy in rotation rate was present already at star formation. We discuss the implication of these findings on the interpretation of eMSTO in young and intermediate-age clusters.
NUV Silicon Photomultipliers With High Detection Efficiency and Reduced Delayed Correlated-Noise

In this paper, we present the characteristics and performances of new silicon photomultipliers (SiPMs), produced at FBK, for the near-ultraviolet (NUV) light detection, with reduced afterpulsing and delayed optical crosstalk. To study these components of the correlated noise, we manufactured SiPMs on silicon wafers featuring different substrate minority-carrier lifetime. This parameter proved to be crucial in determining the amount of delayed optical crosstalk and afterpulsing caused by photo-generated carriers diffusing from the substrate to the cell active region. With a very low substrate lifetime, we were able to minimize this correlated noise component to few percent at room temperature. Besides reducing the excess noise factor, the lower delayed correlated noise allows biasing the SiPM at higher voltages, reaching higher values of photon detection efficiency.