Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactive Topic Modeling for Exploring Asynchronous Online Conversations

Since the mid-2000s, there has been exponential growth of asynchronous online conversations, thanks to the rise of social media. Analyzing and gaining insights from such conversations can be quite challenging for a user, especially when the discussion becomes very long. A promising solution to this problem is topic modeling, since it may help the user to understand quickly what was discussed in a long conversation and to explore the comments of interest. However, the results of topic modeling can be noisy, and they may not match the user’s current information needs. To address this problem, we propose a novel topic modeling system for asynchronous conversations that revises the model on the fly on the basis of users’ feedback. We then integrate this system with interactive visualization techniques to support the user in exploring long conversations, as well as in revising the topic model when the current results are not adequate to fulfill the user’s information needs. Finally, we report on an evaluation with real users that compared the resulting system with both a traditional interface and an interactive visual interface that does not support human-in-the-loop topic modeling. Both the quantitative results and the subjective feedback from the participants illustrate the potential benefits of our interactive topic modeling approach for exploring conversations, relative to its counterparts.
Preliminary study of family accommodation in 4–7 year-olds with anxiety: frequency, clinical correlates, and treatment response

Abstract Background: Childhood anxiety disorders are common in early childhood and are associated with marked impairment. Family accommodation, which contributes to the maintenance of child anxiety, has only been minimally examined in children under the age of 7 years with anxiety disorders. Aims: This study aimed at examining the frequency and clinical correlates of family accommodation in anxious children under the age of 7 years, as well as changes in family accommodation following cognitive-behavioral treatment. Method: Twenty-six children between the ages of 4 and 7 years diagnosed with at least one anxiety disorder participated in this study. A subsample of these children (n = 23) participated in 10 sessions of parent-led exposure therapy or treatment-as-usual (TAU). Results: Family accommodation occurred in 100% of the sample and was positively correlated with children’s externalizing behavior, but not with anxiety severity or parental distress. Family accommodation decreased following cognitive behavioral therapy but not TAU. Conclusions: Reductions in family accommodation were associated with greater improvements in child anxiety symptoms following treatment.
A New TCP Congestion Control with Weighted Fair Allocation and Scalable Stability

Recent studies on end-to-end congestion control in IP networks have demonstrated the difficulties in compromising between stability mid fairness objectives. In this paper, we introduce a new congestion avoidance model, which can meet the key criteria of both objectives with enhanced source behavior. Our new scheme provides local system stability which is scalable to arbitrary delays, capacities and network topologies. The tradeoff between system stability and response speed is controlled by single parameter tuning at source. At equilibrium, the obtained resource allocation is weighted proportional fair or weighted TCP friendly fair with appropriate choice of parameter at source. Not like the arrangement in current TCP scheme, in which large round-trip time (RTT) are treated with bias, our resulting weighted allocation scheme favors long delay flows
Transient Time-Dependent Electric Field of Dielectric Bodies Using the Volterra Integral Equation in Three Dimensions

An accurate and ∞exible three-dimensional Volterra Time Domain Integral Equation (TDIE) algorithm is presented and implemented here to model the time-dependent electromagnetic fleld of arbitrarily shaped dielectric bodies. This development is motivated by the need for a modern high-resolution numerical tool that is capable of providing a full and comprehensive investigation of devices containing a diverse range of feature sizes or boundaries, in all three space dimensions plus time. Stability, accuracy and convergence of the algorithm are discussed and verifled by means of canonical working examples.
The role of the pinna in human localization

The pinna, or external ear, has been shown experimentally to perform an acoustical transformation essential to localization in human hearing. The mathematical form of the transformation is given, the inverse to the transformation is shown to exist, and a theory of localization constructed from the evidence. The theory is extended to reverberation and other facets of human hearing. The basic theorem applied to the study is 'in order to know, the inverse to the transformation of perception must be constructed'.
ER-X: A Novel, Plasma Membrane-Associated, Putative Estrogen Receptor That Is Regulated during Development and after Ischemic Brain Injury

We showed previously in neocortical explants, derived from developing wild-type and estrogen receptor (ER)-α gene-disrupted (ERKO) mice, that both 17α- and 17β-estradiol elicit the rapid and sustained phosphorylation and activation of the mitogen-activated protein kinase (MAPK) isoforms, the extracellular signal-regulated kinases ERK1 and ERK2. We proposed that the ER mediating activation of the MAPK cascade, a signaling pathway important for cell division, neuronal differentiation, and neuronal survival in the developing brain, is neither ER-α nor ER-β but a novel, plasma membrane-associated, putative ER with unique properties. The data presented here provide further evidence that points strongly to the existence of a high-affinity, saturable, 3H-estradiol binding site (Kd, ∼1.6 nm) in the plasma membrane. Unlike neocortical ER-α, which is intranuclear and developmentally regulated, and neocortical ER-β, which is intranuclear and expressed throughout life, this functional, plasma membrane-associated ER, which we have designated “ER-X,” is enriched in caveolar-like microdomains (CLMs) of postnatal, but not adult, wild-type and ERKO neocortical and uterine plasma membranes. We show further that ER-X is functionally distinct from ER-α and ER-β, and that, like ER-α, it is re-expressed in the adult brain, after ischemic stroke injury. We also confirmed in a cell-free system that ER-α is an inhibitory regulator of ERK activation, as we showed previously in neocortical cultures. Association with CLM complexes positions ER-X uniquely to interact rapidly with kinases of the MAPK cascade and other signaling pathways, providing a novel mechanism for mediation of the influences of estrogen on neuronal differentiation, survival, and plasticity.
Integrated Platform for Autonomic Computing

IPAC (integrated platform for autonomic computing) aims at delivering a middleware and service creation environment for developing embedded, intelligent, collaborative, context-aware services in mobile nodes. IPAC relies on short range communications for the ad hoc realization of dialogs among collaborating nodes. Advanced sensing components leverage the context-awareness attributes of IPAC, thus rendering it capable of delivering highly innovative applications for mobile and pervasive computing. IPAC networking capabilities are based on rumour spreading techniques, a stateless and resilient approach, and information dissemination among embedded nodes. Spreading of information is subject to certain rules (e.g., space, time, price). IPAC nodes may receive, store, assesses and possibly relay the incoming content to other nodes. The same distribution channel is followed for the dissemination of new applications and application components that "join the IPAC world".
A Health Technology Assessment: laparoscopy versus colpoceliotomy

Summary Introduction. The objective of this paper is the comparison between two different technologies used for the removal of a uterine myoma, a frequent benign tumor: the standard technology currently used, laparoscopy, and an innovative one, colpoceliotomy. It was considered relevant to evaluate the real and the potential effects of the two technologies implementation and, in addition, the consequences that the introduction or exclusion of the innovative technology would have for both the National Health System (NHS) and the entire community. Methods. The comparison between these two different technologies, the standard and the innovative one, was conducted using a Health Technology Assessment (HTA). In particular, in order to analyse their differences, a multi-dimensional approach was considered: effectiveness, costs and budget impact analysis data were collected, applying different instruments, such as the Activity Based Costing methodology (ABC), the Cost-Effectiveness Analysis (CEA) and the Budget Impact Analysis (BIA). Organisational, equity and social impact were also evaluated. Results. The results showed that the introduction of colpoceliotomy would provide significant economic savings to the Regional and National Health Service; in particular, a saving of € 453.27 for each surgical procedure. Discussion. The introduction of the innovative technology, colpoceliotomy, could be considered a valuable tool; one offering many advantages related to less invasiveness and a shorter surgical procedure than the standard technology currently used (laparoscopy).
Shotgun Protein Sequencing : Assembly of Tandem Mass Spectra from Mixtures of Modified Proteins

Despite significant advances in the identification of known proteins, the analysis of unknown proteins by tandem mass spectrometry (MS/MS) still remains a challenging open problem. Although Klaus Biemann recognized the potential of tandem mass spectrometry (MS/MS) for sequencing of unknown proteins in the 1980s, low-throughput Edman degradation followed by cloning still remains the main method to sequence unknown proteins. The automated interpretation of MS/MS spectra has been limited by a focus on individual spectra and has not capitalized on the information contained in spectra of overlapping peptides. Indeed, the powerful Shotgun DNA Sequencing strategies have not been extended to automated protein sequencing. We demonstrate, for the first time, the feasibility of automated Shotgun Protein Sequencing of protein mixtures by utilizing MS/MS spectra of overlapping and possibly modified peptides generated via multiple proteases of different specificities. We validate this approach by generating highly accurate de novo reconstructions of multiple regions of various proteins in western diamondback rattlesnake venom. We further argue that Shotgun Protein Sequencing has the potential to overcome the limitations of current protein sequencing approaches and thus catalyze the otherwise impractical applications of proteomics methodologies in studies of unknown proteins.
Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs

We propose a method that learns a crosslingual projection of word representations from one language into another. Our method utilizes translatable context pairs as bonus terms of the objective function. In the experiments, our method outperformed existing methods in three language pairs, (English, Spanish), (Japanese, Chinese) and (English, Japanese), without using any additional supervisions.
Fatty Acid Profile and Biological Activities of Linseed and Rapeseed Oils

It has been postulated that fatty acids found in edible oils may exert beneficial health effects by the modulation of signaling pathways regulating cell differentiation and proliferation, especially in the treatment of cardiovascular diseases. In the present study, the biological effects of selected edible oils—linseed (LO) and rapeseed (RO) oils—were tested in vitro on fibroblast cells. The fatty acid profile of the oils was determined using gas chromatography and FTIR spectroscopy. LO was found to be rich in α-linolenic acid (ALA), whereas oleic acid was the most abundant species in RO. Fatty acids were taken up by the cells and promoted cell proliferation. No oxidative stress-mediated cytotoxic or genotoxic effects were observed after oil stimulation. Oils ameliorated the process of wound healing as judged by improved migration of fibroblasts to the wounding area. As ALA-rich LO exhibited the most potent wound healing activity, ALA may be considered a candidate for promoting the observed effect.
Roughness Parameters Calculation By Means Of On-Line Vibration Monitoring Emerging From AWJ Interaction With Material

The paper deals with a study of relations between the measured Ra, Rq, Rz surface roughness parameters, the traverse speed of cutting head v and the vibration parameters, PtP, RMS, vRa , generated during abrasive water jet cutting of the AISI 309 stainless steel. Equations for prediction of the surface roughness parameters were derived according to the vibration parameter and the traverse speed of cutting head. Accuracy of the equations is described according to the Euclidean distances. The results are suitable for an on-line control model simulating abrasive water jet cutting and machining using an accompanying physical phenomenon for the process control which eliminates intervention of the operator.
Algorithm to extract the shortest linear edge and the longest diagonal of single isolated human insulin crystals for in-situ microscopy

In this contribution, an algorithm is presented, which is able to extract the shortest linear edge and the longest diagonal of each single isolated human insulin crystal region, which is found in an arbitrary image captured by an insitu microscope inside of a reactor, where a human insulin crystallization processes is taking place. First, the image regions of the single isolated crystals are segmented by combining three different techniques: thresholding, single nearest prototype classification and snakes. Then, the image positions of the vertices of each single isolated crystal region are determined by using the Hough Transformation. Finally, both the shortest linear edge and the longest diagonal of each single isolated crystal region are extracted by measuring and comparing distances between the found image positions of the single isolated crystal region vertices. Experimental results revealed an absolute length error of 4.18 percent and 2.32 percent of the extracted shortest linear edges and the extracted longest diagonals, respectively.
Local regularity analysis at glottal opening and closure instants in electroglottogram signal using wavelet transform modulus maxima

This paper deals with singularities characterisation and detection in Electroglottogram (EGG) signal using wavelet transform modulus maxima. These singularities correspond to glottal opening and closure instants (GOIs and GCIs), Wavelets with one and two vanishing moments are applied to EGG signal. We show that wavelet with one vanishing moment is sufficient to detect singularities of EGG signal and to measure their regularities. The Lipschitz regularity at any point is the maxima slope of log 2 of wavelet transform modulus maxima as a function of log 2 s along the maxima lines converging to this point. Local regularity measures allow us to conclude that EGG signal is more regular at glottal opening instant than at glottal closure instant.
Texture-Based Identification and Characterization of Interstitial Pneumonia Patterns in Lung Multidetector CT

Identification and characterization of diffuse parenchyma lung disease (DPLD) patterns challenges computer-aided schemes in computed tomography (CT) lung analysis. In this study, an automated scheme for volumetric quantification of interstitial pneumonia (IP) patterns, a subset of DPLD, is presented, utilizing a multidetector CT (MDCT) dataset. Initially, lung-field segmentation is achieved by 3-D automated gray-level thresholding combined with an edge-highlighting wavelet preprocessing step, followed by a texture-based border refinement step. The vessel tree volume is identified and removed from lung field, resulting in lung parenchyma (LP) volume. Following, identification and characterization of IP patterns is formulated as a three-class pattern classification of LP into normal, ground glass, and reticular patterns, by means of k-nearest neighbor voxel classification, exploiting 3-D cooccurrence features. Performance of the proposed scheme in indentifying and characterizing ground glass and reticular patterns was evaluated by means of volume overlap (ground glass: 0.734 ± 0.057, reticular: 0.815 ± 0.037), true-positive fraction (ground glass: 0.638 ± 0.055, reticular: 0.942 ± 0.023) and false-positive fraction (ground glass: 0.361 ± 0.027, reticular: 0.147 ± 0.032) on five MDCT scans.
Separating Complexity Classes Using Autoreducibility

A set is autoreducible if it can be reduced to itself by a Turing machine that does not ask its own input to the oracle. We use autoreducibility to separate the polynomial-time hierarchy from exponential space by showing that all Turing complete sets for certain levels of the exponential-time hierarchy are autoreducible but there exists some Turing complete set for doubly exponential space that is not. Although we already knew how to separate these classes using diagonalization, our proofs separate classes solely by showing they have different structural properties, thus applying Post's program to complexity theory. We feel such techniques may prove unknown separations in the future. In particular, if we could settle the question as to whether all Turing complete sets for doubly exponential time are autoreducible, we would separate either polynomial time from polynomial space, and nondeterministic logarithmic space from nondeterministic polynomial time, or else the polynomial-time hierarchy from exponential time. We also look at the autoreducibility of complete sets under nonadaptive, bounded query, probabilistic, and nonuniform reductions. We show how settling some of these autoreducibility questions will also lead to new complexity class separations.
TBX goes TEI - Implementing a TBX basic extension for the Text Encoding Initiative guidelines

This paper presents an attempt to customise the TEI (Text Encoding Initiative) guidelines in order to offer the possibility to incorporate TBX (TermBase eXchange) based terminological entries within any kind of TEI documents. After presenting the general historical, conceptual and technical contexts, we describe the various design choices we had to take while creating this customisation, which in turn have led to make various changes in the actual TBX serialisation. Keeping in mind the objective to provide the TEI guidelines with, again, an onomasiological model, we try to identify the best comprise in maintaining both the isomorphism with the existing TBX Basic standard and the characteristics of the TEI framework.
NATURAL SCENE SEGMENTATION BASED ON INFORMATION FUSION AND HIERARCHICAL SELF-ORGANIZING MAPS

2005 iii This thesis is dedicated to my parents, for having faith in me. Their love, support and encouragement, even from across the world, has been a never-ending source of inspiration. This thesis focuses on an intuitive approach to natural scene segmentation. This research uses color and texture features in cooperation to provide comprehensive knowledge about every pixel in the image. A novel scheme for the collection of training samples, based on the notion of homogeneity, is proposed. Natural scene segmentation is carried out using a two-stage hierarchical self-organizing map. The first stage of the network employs a fixed-sized two-dimensional map that captures the dominant color and texture features of an image, in an unsupervised mode. The second stage combines a fixed-sized one-dimensional feature map and color merging, to control the number of color clusters formed as a result of the segmentation. The proposed method confirms that the self-learning ability and adaptability of the self-organizing map, coupled with the information fusion mechanism of the hierarchical network, leads to good segmentation results. These are further confirmed by extensive tests on a variety of natural scene images. (62 pages) v ACKNOWLEDGMENTS I would first like to thank my advisor and mentor, Dr. Heng-Da Cheng, for his support, encouragement, and inspiration, not only in my research work, but also throughout my years as a masters student. He has been a guiding light in all my endeavors, and I will forever be grateful to him. I also express heartfelt thanks to Dr. Xiaojun Qi and Dr. Greg Jones for their patience and valuable advice. This thesis would not have taken shape without their valuable comments. Friends are the elixir of life. I am grateful to all my friends, especially Anisha, Mihir and Brian, for their constant encouragement and support. Thank you. Life without all of you would have been quite tough. Last, but definitely not the least, I would like to thank my parents and my dear sister, Ila. Their unconditional love and support has made me the person I am today.
REML and the analysis of series of variety trials

ACKNOWLEDGEMENTS INTRODUCTION 1 1.1 The UK variety testing scheme . 1 1.2 Linear modelling: Fixed, random and mixed models . 7 1.3 Objectives . 12 1.3. 1 Notation . 15 1.3. 2 Overview . 16 ANALYSIS OF SERIES OF TRIALS literature review 18 2.1 Analysis of variance methods . 18 2.1.1 Early studies . 18 2.1.2 Yates & Cochran (1938) . 20 2.1.3 Weighted variety means . 21 2.2 Least squares analysis . 22 2.2.1 Percentage method . 22 2.2.2 Fitting constants (FITCON) . 23 2.2. 3 Joint regression . 24 2.2. 4 Modified FITCON . 26 2.2. 5 Varieties x environments interaction . 27 2.2. 6 Simple methods for analysing series of trials . 28 3. RESIDUAL MAXIMUM LIKELIHOOD (REML) 29 3.
A new life estimation method for lithium-ion batteries in plug-in hybrid electric vehicles applications

This paper presents a new approach to life estimation for lithium-ion batteries used in plug-in hybrid electric vehicles (PHEVs) applications. A new framework for battery life estimation is developed which investigates the effects of two primary factors of battery life reduction in PHEVs applications, namely, depth of discharge (DOD) and temperature (Tbatt), under typical driving conditions, driving habits, and average commute time of typical user over a year. This framework, whose development is built upon a weighted ampere-hour throughput model of the battery, is based on the novel concept of severity factor map which captures and quantifies the battery damage caused by different operating conditions. The proposed methodology can be a suitable tool to estimate battery life in terms of miles/year on-board of the vehicle.
How accurately can we measure weak gravitational shear

With the recent detection of cosmic shear, the most challenging effect of weak gravitational lensing has been observed. The main difficulties for this detection were the need for a large amount of high quality data and the control of systematics during the gravitational shear measurement process, in particular those coming from the Point Spread Function anisotropy. In this paper we perform detailed simulations with the state-of-the-art algorithm developed by Kaiser, Squires and Broadhurst (KSB) to measure gravitational shear. We show that for realistic PSF profiles the KSB algorithm can recover any shear amplitude in the range $0.012 < |\gammavec |<0.32$ with a relative, systematic error of $10-15%$. We give quantitative limits on the PSF correction method as a function of shear strength, object size, signal-to-noise and PSF anisotropy amplitude, and we provide an automatic procedure to get a reliable object catalog for shear measurements out of the raw images.