Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotion Classification of Online News Articles from the Reader's Perspective

Past studies on emotion classification focus on the writerpsilas emotional state. This research addresses the reader aspect instead. The classification of documents into reader-emotion categories has several applications. One of them is to integrate reader-emotion classification into a Web search engine to allow users to retrieve documents that contain relevant contents and at the same time instill proper emotions. In this paper, we automatically classify documents into reader-emotion categories, and examine classification performance under different feature settings. Experiments show that certain feature combinations achieve good accuracy. We also compare the best classifierpsilas classification results with the emotional distributions of documents to determine how closely the classifier models the underlying reader behavior. Finally, we investigate the feasibility of emotion ranking.
Exploring the Embeddedness of an Informal Community of Practice Within a Formal Organizational Context: A Case Study in the German Military

The embeddedness of communities of practice (CoPs)—self-organized groups of practitioners, who engage in the same practices, learn from each other, and innovate together—in contexts of formal hierarchical systems, is characterized through tension. CoPs drive learning and change, while formal systems are focused on stable execution and control, suppressing informality and self-organization. How leadership navigates this tension and shapes embeddedness is of interest to scholars and practitioners alike. In this article, we employ an interpretative research approach to explore how a CoP emerges and interacts with the formal hierarchy of the German Armed Forces. The findings of this study indicate that the embeddedness of a CoP within the formal organizational context molds through the dynamic interplay between administrative leaders and community members. In drawing from complexity leadership theory our grounded, cross-level, process model uncovers how a CoP evolves as individuals experience adaptive pressures in their practices stemming from environmental changes and start to generate new resources in response. Furthermore, it reveals how organizational leaders alternate between administrative leadership and enabling leadership techniques, allowing for both self-organized activities and also the integration of the emergent outcomes. Therefore, the model contributes to our understanding of the processes that unfold at the interface between a CoP and formal hierarchical system.
Altered “ Ribostasis ” : RNA-protein granule formation or persistence in the development of degenerative disorders

1School of Genetics and Microbiology and School of Natural Sciences, Smurfit Institute of Genetics and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin-2 Ireland 2Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38120 USA 3Department of Biochemistry and Chemistry, and the Howard Hughes Medical Institute, University of Colorado, Boulder CO, USA
Tuberous Sclerosis Complex 1 Regulates dE2F1 Expression during Development and Cooperates with RBF1 to Control Proliferation and Survival

Previous studies in Drosophila melanogaster have demonstrated that many tumor suppressor pathways impinge on Rb/E2F to regulate proliferation and survival. Here, we report that Tuberous Sclerosis Complex 1 (TSC1), a well-established tumor suppressor that regulates cell size, is an important regulator of dE2F1 during development. In eye imaginal discs, the loss of tsc1 cooperates with rbf1 mutations to promote ectopic S-phase and cell death. This cooperative effect between tsc1 and rbf1 mutations can be explained, at least in part, by the observation that TSC1 post-transcriptionally regulates dE2F1 expression. Clonal analysis revealed that the protein level of dE2F1 is increased in tsc1 or tsc2 mutant cells and conversely decreased in rheb or dTor mutant cells. Interestingly, while s6k mutations have no effect on dE2F1 expression in the wild-type background, S6k is absolutely required for the increase of dE2F1 expression in tsc2 mutant cells. The canonical TSC/Rheb/Tor/S6k pathway is also an important determinant of dE2F1-dependent cell death, since rheb or s6k mutations suppress the developmentally regulated cell death observed in rbf1 mutant eye discs. Our results provide evidence to suggest that dE2F1 is an important cell cycle regulator that translates the growth-promoting signal downstream of the TSC/Rheb/Tor/S6k pathway.
Evaluating Diversity and Redundancy-Based Search Metrics Independently

This paper proposes a new evaluation metric, normalized Coverage Frequency (nCF), which aims to explicitly evaluate the diversity of search results, going beyond the drawbacks of previously proposed measures. In fact, two of the most widely adopted metrics for the diversity retrieval task, namely α-nDCG and Intent-Aware Expected Reciprocal Rank (ERR-IA), explicitly evaluate redundancy, but not diversity. While there exists a genuine diversity-based metric called Intent Recall (I-rec), it has some drawbacks. These drawbacks may be inherited by other derived metrics such as D#-nDCG, which combines I-rec with a modified version of nDCG. The proposed nCF metric assesses how often query-intents are successfully covered throughout a ranked list up to a given rank position. A comprehensive study is conducted using both real and synthetic data to compare nCF with α-nDCG, ERR-IA, I-recall and D#-nDCG. Results show that the proposed metric correlates well with the existing ones while it is capable of capturing other factors, e.g., a series of coverage. In addition, we categorize the existing metrics into two distinct groups, i.e., diversity and novelty, based upon their intuitive measurements and suggest that they be used independently according to what they quantify for the ease of performance interpretation.
A memory-based model of syntactic analysis: data-oriented parsing

This paper presents a memory-based model of human syntactic processing: Data-Oriented Parsing. After a brief introduction (section 1), it argues that any account of disambiguation and many other performance phenomena inevitably has an important memory-based component (section 2). It discusses the limitations of probabilistically enhanced competence-grammars, and argues for a more principled memory-based approach (section 3). In sections 4 and 5, one part icular memory-based model is described in some detail: a simple instantiation of the "Data-Oriented Parsing" approach ("DOP1"). Section 6 reports on experimentally established properties of this model , and section 7 compares it with other memory-based techniques. Section 8 concludes and points to futur e work.
Strand receptors associated with the femoral chordotonal organs of locust legs

The so-called flexor strand of the femoral chordotonal organ of the locust jumping leg was found to be innervated by a single sensory neurone with its cell body in the metathoracic ganglion. The strand is therefore a new mechanoreceptor of the strand receptor class. It is sensitive to extension of the femoro-tibial joint. The innervation is rather unusual in the hind leg as well as in the fore and middle legs.
Which Factors Determine Spatial Segregation in the South American Opossums (Didelphis aurita and D. albiventris)? An Ecological Niche Modelling and Geometric Morphometrics Approach

Didelphis albiventris and D. aurita are Neotropical marsupials that share a unique evolutionary history and both are largely distributed throughout South America, being primarily allopatric throughout their ranges. In the Araucaria moist forest of Southern Brazil these species are sympatric and they might potentially compete having similar ecology. For this reason, they are ideal biological models to address questions about ecological character displacement and how closely related species might share their geographic space. Little is known about how two morphologically similar species of marsupials may affect each other through competition, if by competitive exclusion and competitive release. We combined ecological niche modeling and geometric morphometrics to explore the possible effects of competition on their distributional ranges and skull morphology. Ecological niche modeling was used to predict their potential distribution and this method enabled us to identify a case of biotic exclusion where the habit generalist D. albiventris is excluded by the presence of the specialist D. aurita. The morphometric analyses show that a degree of shape discrimination occurs between the species, strengthened by allometric differences, which possibly allowed them to occupy marginally different feeding niches supplemented by behavioral shift in contact areas. Overlap in skull morphology is shown between sympatric and allopatric specimens and a significant, but weak, shift in shape occurs only in D. aurita in sympatric areas. This could be a residual evidence of a higher past competition between both species, when contact zones were possibly larger than today. Therefore, the specialist D. aurita acts a biotic barrier to D. albiventris when niche diversity is not available for coexistence. On the other hand, when there is niche diversification (e.g. habitat mosaic), both species are capable to coexist with a minimal competitive effect on the morphology of D. aurita.
Validation of the V-index as a metric of ventricular repolarization dispersion using intracardiac recordings

The spatial heterogeneity of ventricular repoalarization (SHVR) is an important factor in arrhythmogenesis and it is related to increased vulnerability to fatal arrhythmia. The V-index is a non-invasive estimator of SHVR based on the analysis of the surface ECG. A significant correlation between the V-index and SHVR has been previously demonstrated theoretically and by means of numerical simulations. Also, the V-index has been shown to track expected changes in SHVR after infusion of drugs that alter the cardiac electrophysiology. In this study, we compare for the first time estimates from the V-index with direct measures of SHVR derived from unipolar elecrograms simultaneously recorded in the left and right ventricular endocardium and in the left ventricular epicardium. In 22 recordings collected in 14 patients with normal ventricles, the V-index showed a tight and significant correlation with directed measures of SHVR, with correlation coefficients as high as r = 0.80, whereas other ECG-derived estimates of SHVR based on T-peak and T-peak to T-end measures showed lower correlations (r ≤ 0.41 and r ≤ 0.36, respectively). The results of this study suggest that the V-index provides reliable estimates of SHVR.
On the Modeling of Carbon Nanotubes as Drug Delivery Nanocapsules

The structure of carbon nanotubes is recognized to be suitable for medical applications such as encapsulating drugs or genes with the aim of targeted deliveries. In this regard, knowing about the suction force exerted on a nonoscale object which is supposed to be sucked into a carbon nanotube, and whether the object is accepted by the carbon nanotube are important issues to be studied. In this chapter, considering the nanoscale object as a carbon nanotube, a new semi-analytical method is developed to determine the van der Waals interaction between two concentric single-walled carbon nanotubes.
REST-based Meta Web Services in Mobile Application Frameworks

This paper describes how a multimodal dialogue application framework can be used to implement specific mobile applications and dynamic HTTP-based REST services. REST services are already publicly available and provide us eful location-based information for the user on the go. We use a distributed, ontology-based dialogue system architectur e where every major component can be run on a different host, thereby increasing the scalability of the overall system with a mobi le user interface. The dialogue system provides customised ac cess to the Google Maps Local Searchand two REST services provided by GeoNames (i.e., thefindNearbyWikipediasearch and the findNearbyWeathersearch). Keywords-Multimodal Dialogue, Application Backend, REST Services
Histocompatibility-Disparate Skin During Rejection of MHC-Matched/Multiple Intraallograft Chemokine RNA and Protein

Chemokines direct leukocyte recruitment into sites of tissue inﬂammation and may facilitate recruitment of leukocytes into allografts following transplantation. Although the expression of chemokines during rejection of MHC-disparate allografts has been examined, chemokine expression in MHC-matched/multiple minor histocompatibility Ag-disparate allografts has not been tested. The intraallograft RNA expression of several C-X-C and C-C chemokines was tested during rejection of full thickness skin grafts from B10.D2 donors on control Ig-, anti-CD4 mAb-, and anti-CD8 mAb-treated BALB/c recipients. In all recipients, two patterns of intragraft chemokine expression were observed during rejection of these grafts: 1) macrophage-inﬂammatory protein-1 a , macrophage-inﬂammatory protein-1 b , GRO- a (KC), JE, and IFN- g -inducible protein (IP-10) were expressed at equivalent levels in allo- and isografts for 2–4 days posttransplant and then returned to low or undetectable levels; and 2) IP-10 and monokine induced by IFN- g (Mig) were expressed in the allografts 3 days before rejection was completed, suggesting a possible role in recruiting primed T cells into the allograft. Three days before completion of rejection, intraallograft IP-10 protein was restricted to the epidermis, whereas Mig was located in the lower dermis and associated with the intense inﬁltration of mononuclear cells. Treatment of B10.D2 recipients with rabbit antiserum to Mig, but not to IP-10, delayed rejection of the allografts 3–4 days. the early day 3–4 posttransplant) in isografts in B10.D2 allografts on MHC-matched BALB/c recipients, expression in MHC-disparate grafts continued at high levels. These results indicate the ability of recipients of MHC-dispar-ate, but not of MHC-matched/multiple mHAg-disparate allografts to detect and to react to the allograft at early times posttransplant. have indicated a role for NK cells in mediating the early RNA expression and protein production of in MHC-mismatched skin grafts This early response is in early
A recursive algorithm for the approximate solution of Volterra integral equations of the first kind of convolution type

In this paper we present an algorithm for the approximate solution of a class of Volterra integral equations of the first kind whose kernel depends on the difference of the arguments, i.e. a deconvolution algorithm. As is well known, this is an ill posed problem, but we give conditions under which the algorithm is robust against noise and sampling of the output. The class of systems for which we can prove consistency of the algorithm includes Abel equations with square integrable unknown input functions.
Cell movements controlled by the Notch signalling cascade during foregut development in Drosophila

Notch signalling is an evolutionarily conserved cell interaction mechanism, the role of which in controlling cell fate choices has been studied extensively. Recent studies in both vertebrates and invertebrates revealed additional functions of Notch in proliferation and apoptotic events. We provide evidence for an essential role of the Notch signalling pathway during morphogenetic cell movements required for the formation of the foregut-associated proventriculus organ in the Drosophila embryo. We demonstrate that the activation of the Notch receptor occurs in two rows of boundary cells in the proventriculus primordium. The boundary cells delimit a population of foregut epithelial cells that invaginate into the endodermal midgut layer during proventriculus morphogenesis. Notch receptor activation requires the expression of its ligand Delta in the invaginating cells and apical Notch receptor localisation in the boundary cells. We further show that the movement of the proventricular cells is dependent on the short stop gene that encodes the Drosophila plectin homolog of vertebrates and is a cytoskeletal linker protein of the spectraplakin superfamily. short stop is transcriptionally activated in response to the Notch signalling pathway in boundary cells and we demonstrate that the localisation of the Notch receptor and Notch signalling activity depend on short stop activity. Our results provide a novel link between the Notch signalling pathway and cytoskeletal reorganisation controlling cell movement during the development of foregut-associated organs.
An architectural model for combining spatial-based and object-based information for attentive video analysis

We present an architectural model for the interaction between top-down, object-based information and bottom-up, spatial-based information in determining visual attention shifts. We focus in particular on how the attentive process can take into account the processing of faces and multiple moving objects. To validate the model, experiments with eye-tracked human subjects are presented and discussed.
Vocal fold pathology detection using modified wavelet-like features and support vector machines

Acoustic analysis is a perspective vocal pathology diagnostic method that can complement (and in some cases replace) other methods, based on direct vocal fold observation. There are different approaches and algorithms for feature extraction from acoustic speech signal and for making decision on their basis. While the second stage implies a choice of a variety of machine learning methods (SVMs, neural networks, etc), the first stage plays crucial part in performance and accuracy of the classification system, providing much more creativity in development of different feature extraction methods. In this paper we present initial study of feature extraction based on wavelets and pseudo-wavelets in the task of vocal pathology diagnostic. A new type of feature vector, based on continuous wavelet and wavelet-like transform of input audio data is proposed. Support vector machine was used as a classifier for testing the feature extraction procedure. The results of our experimental study are shown.
Correction for hidden confounders in the genetic analysis of gene expression

Understanding the genetic underpinnings of disease is important for screening, treatment, drug development, and basic biological insight. One way of getting at such an understanding is to find out which parts of our DNA, such as single-nucleotide polymorphisms, affect particular intermediary processes such as gene expression. Naively, such associations can be identified using a simple statistical test on all paired combinations of genetic variants and gene transcripts. However, a wide variety of confounders lie hidden in the data, leading to both spurious associations and missed associations if not properly addressed. We present a statistical model that jointly corrects for two particular kinds of hidden structure—population structure (e.g., race, family-relatedness), and microarray expression artifacts (e.g., batch effects), when these confounders are unknown. Applying our method to both real and synthetic, human and mouse data, we demonstrate the need for such a joint correction of confounders, and also the disadvantages of other possible approaches based on those in the current literature. In particular, we show that our class of models has maximum power to detect eQTL on synthetic data, and has the best performance on a bronze standard applied to real data. Lastly, our software and the associations we found with it are available at http://www.microsoft. com/science.
Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data

The study at hand aims at the development of a multimodal, ensemble-based system for emotion recognition. Special attention is given to a problem often neglected: missing data in one or more modalities. In offline evaluation the issue can be easily solved by excluding those parts of the corpus where one or more channels are corrupted or not suitable for evaluation. In real applications, however, we cannot neglect the challenge of missing data and have to find adequate ways to handle it. To address this, we do not expect examined data to be completely available at all time in our experiments. The presented system solves the problem at the multimodal fusion stage, so various ensemble techniques-covering established ones as well as rather novel emotion specific approaches-will be explained and enriched with strategies on how to compensate for temporarily unavailable modalities. We will compare and discuss advantages and drawbacks of fusion categories and extensive evaluation of mentioned techniques is carried out on the CALLAS Expressivity Corpus, featuring facial, vocal, and gestural modalities.
Markov Decision Model and the Application to the Cost of Treatment of Leprosy Disease

A Markov decision model is applied to determine the optimal cost of drugs in the treatment of leprosy disease. The result shows that the minimum cost is obtained if the Doctor is visited and the patient is placed on the MDT instead of traditional treatment and Dopsone monotherapy. The paper presents a theoretical framework to study the cost of treatment of leprosy where the relevant data could be obtained.
MACHINERY FAULT DIAGNOSIS SCHEMAS BASED ON FUZZY INTEGRAL THEORY

Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on the development of a machinery fault diagnosis application of fuzzy measures and fuzzy integrals. Fuzzy measures and fuzzy integrals take into account the index of importance of criteria and interactions among them--an important feature that makes fuzzy measure and fuzzy integral a good candidate for application in machinery fault diagnosis. The theory of fuzzy measures and fuzzy integrals and their important properties are introduced. Techniques for identifying fuzzy measures are summarised. Two schemas using fuzzy measures and fuzzy integrals for machinery fault diagnosis are also proposed.
Contour grouping with shape manifold and distance transform

Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel distance transform is applied to match templates to the test image so that candidates and locations of the object are obtained; verification using shape manifold is performed to preclude outliers and identify the prior. We use the prior combined with bottom-up edge information to produce the final grouping result. Our contribution lies in two aspects: one is the novel distance transform saves much searching space; the other is introducing shape manifold in verifying candidates of grouping. Experiments show our method achieves considerable accuracy in occlusion and background clutter. Specially, the only feature used is edge and contour rather than combination of multi features.