Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Ironic Intent in Creative Comparisons

Irony is an effective but challenging mode of communication that allows a speaker to express sentiment-rich viewpoints with concision, sharpness and humour. Irony is especially common in online documents that express subjective and deeply-felt opinions, and thus represents a significant obstacle to the accurate analysis of sentiment in web texts. In this paper we look at one commonly used framing device for linguistic irony --the simile --to show how irony is often marked in ways that make it computationally feasible to detect. We conduct a very large corpus analysis of web-harvested similes to identify the most interesting characteristics of ironic comparisons, and provide an empirical evaluation of a new algorithm for separating ironic from non-ironic similes.
Coexpression of Rat P2X2 and P2X6Subunits in Xenopus Oocytes

Transcripts for P2X2 and P2X6 subunits are present in rat CNS and frequently colocalize in the same brainstem nuclei. When rat P2X2 (rP2X2) and rat P2X6 (rP2X6) receptors were expressed individually in Xenopus oocytes and studied under voltage-clamp conditions, only homomeric rP2X2 receptors were fully functional and gave rise to large inward currents (2–3 μA) to extracellular ATP. Coexpression of rP2X2 and rP2X6 subunits in Xenopus oocytes resulted in a heteromeric rP2X2/6 receptor, which showed a significantly different phenotype from the wild-type rP2X2receptor. Differences included reduction in agonist potencies and, in some cases (e.g., Ap4A), significant loss of agonist activity. ATP-evoked inward currents were biphasic at the heteromeric rP2X2/6 receptor, particularly when Zn2+ions were present or extracellular pH was lowered. The pH range was narrower for H+ enhancement of ATP responses at the heteromeric rP2X2/6 receptor. Also, H+ions inhibited ATP responses at low pH levels (<pH 6.3). The pH-dependent blocking activity of suramin was changed at this heteromeric receptor, although the potentiating effect of Zn2+ on ATP responses was unchanged. Thus, the rP2X2/6 receptor is a functionally modified P2X2-like receptor with a distinct pattern of pH modulation of ATP activation and suramin blockade. Although homomeric P2X6 receptors function poorly, the P2X6subunit can contribute to functional heteromeric P2X channels and may influence the phenotype of native P2X receptors in those cells in which it is expressed.
Leading conversations: Communication behaviours of emergent leaders in virtual teams

Virtual teams and their leaders are key players in global organisations. Using teams of workers dispersed temporally and geographically has changed the way people work in groups and has redefined the nature of teamwork. Emergent leadership issues in computer-mediated communication are vital today because of the increasing prevalence of the virtual organisation, the flattening of organisational structures and the corresponding interest in managing virtual groups and teams. This paper examines the communication behaviours of participants in two different case studies to determine if number, length and content of messages are sufficient criteria to identify emergent leaders in asynchronous and synchronous environments. The methodology used can be embedded in collaborative virtual environments as technology for detecting potential leaders.
ANALYTICAL STUDY OF MAINTAINABILITY MODELS FOR QUALITY EVALUATION

The interest in software system is increasing day by day. Dealing with the software systems is a complex task. Software must have some qualities on the basis of which it can be applied to any software system. Every software quality model has some characteristics and sub-characteristics, which affect software quality. In this Paper the main emphasis is given on maintainability characteristics. Every system requires that maintainability measure should be done in early stages of development life-cycle which will help the designers to correct the software, if there is any fault, in early phases of designing. By doing this, cost of the development of software will be reduced. The paper gives the overview of various quality models in which maintainability is described. Paper provides the analysis of maintainability in various quality models.
Application of the NanoLC-MS/MS Technique for Protein Analysis of Biofilm on Surface of Mandibular Fixation with X-Ray Detection of Metallic Ions Relocation to the Osseous Tissue

This work presents application of the methods of combined analytical techniques: high performance capillary chromatography and mass spectrometry with a nanoelectrospray ion source (nanoESI) for biochemical analysis of biological films. The layers of biofilm (identification of surface proteins) adsorbed on surfaces of metallic plate fixation and metallic screws surfaces used during treatment of the mandibular fracture were investigated. The obtained results make it possible to determine the protein composition of films found on the plates and screws used for fixation of the mandible. Second part of the work involves microscopic observations of specially prepared parts of tissues contacting directly with time-part implant. We observed changes in the osseous tissues and relocations of the metal ions from the fixations using a Hitachi S-3000N scanning microscope, equipped with an NSS type (Noran System Six) X-ray spectrometer and a freezing table for biological sections. Obtained results indicate the penetration of metal ions from the time-part implant surface into the osseous tissue.
Hyperbaric oxygen alleviates the activation of NLRP-3-inflammasomes in traumatic brain injury

Growing evidence has demonstrated that the nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3 (NLRP-3) inflammasome-mediated inflammatory pathways have been involved in the secondary injury of traumatic brain injury (TBI). In the present study, the authors investigated the effects of hyperbaric oxygen (HBO) therapy on the NLRP-3 inflammasome pathway following TBI. Following the evaluation of motor deficits and brain edema, the therapeutic effects of HBO on interleukin (IL)-1β and IL-18 expression were assessed, as well as NLRP-3 inflammasome activation following TBI. HBO may improve motor score and reduce brain edema, accompanied with the reduction of IL-1β and IL-18 during the 7-day observation period. Furthermore, HBO suppressed mRNA and protein expression of NLRP-3-inflammasome components, especially reducing NLRP-3 expression in microglia. Thus, these results suggested that HBO alleviates the inflammatory response in experimental TBI via modulating microglial NLRP-3-inflammasome signaling.
Active Android malware analysis: an approach based on stochastic games

Active Malware Analysis focuses on learning the behaviors and the intentions of a malicious piece of software by interacting with it in a safe environment. The process can be formalized as a stochastic game involving two agents, a malware sample and an analyzer, that interact with opposite objectives: the malware sample tries to hide its behavior, while the analyzer aims at gaining as much information on the malware sample as possible. Our goal is to design a software agent that interacts with malware and extracts information on the behavior, learning a policy. We can then analyze different malware policies by using standard clustering approaches. In more detail, we propose a novel method to build malware models that can be used as an input to the stochastic game formulation. We empirically evaluate our method on real malware for the Android systems, showing that our approach can group malware belonging to the same families and identify the presence of possible sub-groups within such families.
Movie Classification Using k-Means and Hierarchical Clustering An analysis of clustering algorithms on movie scripts

Usually, movies are associated with at least one genre. Assigning a genre to a movie gives the observer an idea about the generic theme of the movie. The trend of associating movies with genres has developed with the continuously increasing number of movies produced over the years and the similarities observed among these movies. It is difficult to exactly determine the factors that qualify a movie to be classified into a specific genre and there are many underlying subtleties required to do so. This study tries to assign movies a corresponding genre based on the movie’s script using k-means and hierarchical clustering algorithms. Keywords—document clustering; k-means; hierarchihcal clustering; movie genres; movie scripts; IMDB
Parameter Optimization in the Synthesis of BZT Ceramics to Achieve Good Dielectric Properties

The powder synthesis of barium zirconate titanate (BZT) (BaZrTiO3) from the mechanochemical activation of BaCO3, ZrO2, and TiO2 was studied. The grinding effect, by using a planetary ball milling, on the crystallization temperature of BZT powders was analyzed. X-ray diffractometry, differential thermal analysis, thermogravimetric analysis, and scanning electronic microscopy (SEM) were used as characterization methods. The crystallization behavior of powders activated by high-energy grinding and the effect of grinding time on the BZT crystallization were analyzed. After grinding by 4 h, the BaZr(0.05)Ti(0.95)O3 sample was almost fully crystallized at . The results of dielectric and ferroelectric properties show that high-energy ball milling is a practical and promising way to prepare BZT ceramics.
Audio-Visual Speech Recognition for People with Speech Disorders

recognition of disorder people is a difficult task due to the lack of motor-control of the speech articulators. Multimodal speech recognition can be used to enhance the robustness of disordered speech. This paper introduces an automatic speech recognition system for people with dysarthria speech disorder based on both speech and visual components. The Mel-Frequency Cepestral Coefficients (MFCC) is used as features representing the acoustic speech signal. For the visual counterpart, the Discrete Cosine Transform (DCT) Coefficients are extracted from the speaker's mouth region. Face and mouth regions are detected using the Viola-Jones algorithm. The acoustic and visual input features are then concatenated on one feature vector. Then, the Hidden Markov Model (HMM) classifier is applied on the combined feature vector of acoustic and visual components. The system is tested on isolated English words spoken by disorder speakers from UA-Speech data. Results of the proposed system indicate that visual features are highly effective and can improve the accuracy to reach 7.91% for speaker dependent experiments and 3% for speaker independent experiments.
Effect of Epithelial Sodium Channel Blockade on the Myogenic Response of Rat Juxtamedullary Afferent Arterioles

The mechanotransduction mechanism underlying the myogenic response is poorly understood, but evidence implicates participation of epithelial sodium channel (ENaC)-like proteins. Therefore, the role of ENaC on the afferent arteriolar myogenic response was investigated in vitro using the blood-perfused juxtamedullary nephron technique. Papillectomy was used to isolate myogenic influences by eliminating tubuloglomerular feedback signals. Autoregulatory responses were assessed by manipulating perfusion pressure in 30-mm Hg steps. Under control conditions, arteriolar diameter increased by 15% from 13.0±1.3 to 14.7±1.2 &mgr;m (P<0.05) after reducing perfusion pressure from 100 to 70 mm Hg. Diameter decreased to 11.3±1.1 and 10.6±1.0 &mgr;m after increasing pressure to 130 and 160 mm Hg (88±1 and 81±2% of control diameter, P<0.05), respectively. Pressure-mediated autoregulatory responses were significantly inhibited by superfusion of 10 &mgr;mol/L amiloride (102±2, 97±4, and 94±3% of control diameter), or 10 &mgr;mol/L benzamil (106±5, 100±3, and 103±3% of control diameter), and when perfusing with blood containing 5 &mgr;mol/L amiloride (106±2, 97±4, and 97±4% of control diameter). Vasoconstrictor responses to 55 mmol/L KCl were preserved as diameters decreased by 67±4, 55±8, and 60±4% in afferent arterioles superfused with amiloride or benzamil, and perfused with amiloride, respectively. These responses were similar to responses obtained from control afferent arterioles (64±6%, P>0.05). Immunofluorescence revealed expression of the &agr;, &bgr;, and &ggr; subunits of ENaC in freshly isolated preglomerular microvascular smooth muscle cells. These results demonstrate that selective ENaC inhibitors attenuate afferent arteriolar myogenic responses and suggest that ENaC may function as mechanosensitive ion channels initiating pressure-dependent myogenic responses in rat juxtamedullary afferent arterioles.
LIFEisGAME Prototype: A Serious Game about Emotions for Children with Autism Spectrum Disorders

This paper presents the LIFEisGAME prototype-Ipad version – a serious game that proposes to enhance facial and emotional recognition skills in children with Autism Spectrum Disorders (ASD). We assess the prototype game regarding motivation to play and game usability, and also participants’ emotional recognition abilities and technology usage. People with autism are less likely to gaze at faces and are also impaired in face discrimination tasks. Recently, technology plays an active role in helping these individuals to understand emotions and recognise facial expressions. LIFEisGAME prototype was played during a 15 minute game session by 11 children with ASD, with ages varying from 5-15 years old (M=9.27, SD=2.97), 91% were male and 9% were female, 82% were verbal ASD and 18% were non-verbal ASD. We video recorded each child and the footage was analysed according to game usability and motivation to play. Parents (n=11) filled out a parental consent form and a questionnaire about their child´s technology usage and their emotional understanding. Therapists' opinions (n=8) about the game were given during an unstructured interview. The game was presented on an Ipad 4 (9.7 inches, 2048x1536). Participants enjoyed the prototype but it still needs to be simplified. All participants had experience with computer games. Fear, disgust and surprise were the most challenging emotions to recognise. Parents suggested adding musical stimuli to promote motivation and therapists recommended to include visual game instructions. Technology is a useful resource for autism and LIFEisGAME utilises technology to promote emotional understanding, bringing positive outcomes to quality of life for children with autism.
Real-time communication over switched ethernet for military applications

Full-Duplex Switched Ethernet is a forecasted new technology for advanced military aircraft system interconnection. However, it was not originally developed to meet the requirements of real-time communications. Therefore, in this paper, we analyze traffic shaping and a priority handling approach over switched Ethernet to achieve reliable transmission with bounded delays that conform to the real-time constraints, required by military applications.
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model

We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a recently proposed class of latent variable models for structure prediction. Their ability to automatically induce features results in multilingual parsing which is robust enough to achieve accuracy well above the average for each individual language in the multilingual track of the CoNLL-2007 shared task. This robustness led to the third best overall average labeled attachment score in the task, despite using no discriminative methods. We also demonstrate that the parser is quite fast, and can provide even faster parsing times without much loss of accuracy.
Prevalence of recurrent pathogenic microdeletions and microduplications in over 9500 pregnancies

The implementation of chromosomal microarray analysis (CMA) in prenatal testing for all patients has not achieved a consensus. Technical alternatives such as Prenatal BACs‐on‐BeadsTM (PNBoBsTM) have thus been applied. The aim of this study was to provide the frequencies of the submicroscopic defects detectable by PNBoBsTM under different prenatal indications.
A new graph based text segmentation using Wikipedia for automatic text summarization

The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presenting the user with a summary of each document greatly facilitates the task of finding the desired documents. Document summarization is a process of automatically creating a compressed version of a given document that provides useful information to users, and multi-document summarization is to produce a summary delivering the majority of information content from a set of documents about an explicit or implicit main topic. According to the input text, in this paper we use the knowledge base of Wikipedia and the words of the main text to create independent graphs. We will then determine the important of graphs. Then we are specified importance of graph and sentences that have topics with high importance. Finally, we extract sentences with high importance. The experimental results on an open benchmark datasets from DUC01 and DUC02 show that our proposed approach can improve the performance compared to state-of-the-art summarization approaches.
A Hybrid System to apply Natural Language Inference over Dependency Trees

This paper presents the development of a natural language inference engine that benefits from two current standard approaches; i.e., shallow and deep approaches. This system combines two non-deterministic algorithms: the approximate matching from the shallow approach and a theorem prover from the deep approach for handling multi-step inference tasks. The theorem prover is customized to accept dependency trees and apply inference rules to these trees. The inference rules are automatically generated as syllogistic rules from our test data (FraCaS test suite). The theorem prover exploits a non-deterministic matching algorithm within a standard backward chaining inference engine. We employ continuation programming as a way of seamlessly handling the combination of these two non-deterministic algorithms. Testing the matching algorithm on “Generalized quantifiers” and “adjectives” topics in FraCaS (MacCartney and Manning 2007), we achieved an accuracy of 92.8% of the single-premise cases. For the multi-steps of inference, we checked the validity of our syllogistic rules and then extracted four generic instances that can be applied to more than one problem.
Short-Term Load Forecasting Based on Adaptive Neuro-Fuzzy Inference System

Accurate load forecasting helps stabilize the system by triggering the appropriate actions if needed such as planning for emergency dispatch and load switching for short-term solution and building or upgrading facilities for long-term solution. The Short Term Load Forecasting (STLF) provides information for utilities’ system planners so that they can come up with a short-term solution to protect the transmission and distribution systems and to better serve the customers. This article provides a way of accurately predicting one-hour-ahead load of a utility company located in the North America region (hereafter this utility will be referred to as NAUC) based on Adaptive Neuro-Fuzzy Inference System (ANFIS). The inputs to the ANFIS are the next-hour temperature, next-hour dew point, day of the week, hour of the day, and the current-hour load. The output is the next-hour load of the entire system. The ANFIS based method can accurately predict the next-hour load to an accuracy of 2.5%.
Early warning signals of regime shifts in coupled human–environment systems

In complex systems, a critical transition is a shift in a system’s dynamical regime from its current state to a strongly contrasting state as external conditions move beyond a tipping point. These transitions are often preceded by characteristic early warning signals such as increased system variability. However, early warning signals in complex, coupled human–environment systems (HESs) remain little studied. Here, we compare critical transitions and their early warning signals in a coupled HES model to an equivalent environment model uncoupled from the human system. We parameterize the HES model, using social and ecological data from old-growth forests in Oregon. We find that the coupled HES exhibits a richer variety of dynamics and regime shifts than the uncoupled environment system. Moreover, the early warning signals in the coupled HES can be ambiguous, heralding either an era of ecosystem conservationism or collapse of both forest ecosystems and conservationism. The presence of human feedback in the coupled HES can also mitigate the early warning signal, making it more difficult to detect the oncoming regime shift. We furthermore show how the coupled HES can be “doomed to criticality”: Strategic human interactions cause the system to remain perpetually in the vicinity of a collapse threshold, as humans become complacent when the resource seems protected but respond rapidly when it is under immediate threat. We conclude that the opportunities, benefits, and challenges of modeling regime shifts and early warning signals in coupled HESs merit further research.
Percolation Mathematical Model for Stepped Horizontal Well in MultilayerFault Block Reservoir

The percolation mechanism and regularity for stepped horizontal well in multilayer complex fault block reser- voir are complex. A percolation mathematical model based on unsteady flow mathematical model is built up in this paper. In the model, the reservoir couples with one horizontal well in sealed reservoir which perforate through mutually uncon- nected formation. The model is solved by the methods such as Laplace change, Stehfest inversion and Conjugate gradient. Compared with the result of Saphir method, the model is proved to be of great reliability. As shown in the application of actual reservoir, the model could calculate BHP and production distribution of various production phases accurately. It can provide theoretical foundation of reservoir research engineering and production engineering design for reservoir de- velopment with stepped horizontal well in multilayer complex fault block reservoir.
Synthesis, purification and characterization of multi- and single-wall nanotubes produced by catalytic decomposition of hydrocarbons

The catalytic process is the third method, with laser evaporation and electric arc techniques, to produce carbon nanotubes. By this way, multi-wall carbon nanotubes can be synthesised by catalytic decomposition of acetylene over supported catalyst Co/Zeolite NaY. The tubes produced are purified in two steps: first, separation of nanotubes and catalyst particles are carried out by fluorhydric acid treatment; then, the amorphous carbon elimination is made following two oxidative treatments. Multi-wall carbon nanotubes are obtained quasi-pure with high yield. Recently, single-walled nanotubes can be also synthesised by the catalytic pyrolysis of hydrocarbons. Typical TEM images of multi- and single-wall carbon nanotubes are given: for multi-wall nanotubes, after each step of production and purification, and for single-wall nanotubes after synthesis.