Miracle-dz/UniFAR-FTUs huggingface dataset:
Definition and Reuse of Analysis Patterns for Real-Time Applications

The analysis patterns improve the quality of products and the performance of development process . They have proven to be an effective means for capturing expert’s knowledge and reducing the costs and the time of development. In this paper, we are interested in de fining analysis patterns to model both the functional and nonfunctional requirements of Real-Time (RT) applications. The motivation behind the definition of these patterns is to facilitate the modeling of RT applications that must meet not only the accuracy of results, but also the time con straints related to the validity of data and the deadline of transactions. The proposed RT analysis patterns are illustrated t hrough the modeling of two RT applications examples: the road traffic control and the medical control applications. These patterns are supported by a CASE toolset that both helps in RT analysis patterns representation and guides the pat terns reuse. Keywords— Real-Time applications; analysis patterns; functional and non functional requirements.
DEVELOPMENTS IN SPECTRAL SUBTRACTION FOR SPEECH ENHANCEMENT

Speech enhancement aims to improve speech quality by using various techniques and algorithms. Over the past several years there has been considerable attention focused on the problem of enhancement of speech degraded by additive background noise. Background noise suppression has many applications. Using mobile in a noisy environment like in streets or in a car is an obvious application, removing the background noise when sending speech from the cockpit of an airplane to the ground or to the cabin. The spectral subtractive algorithm is historically one of the first algorithms proposed for additive background noise and it has gone through many modifications with time. This is a review paper and its objective is to provide an overview of the variety of spectral subtraction techniques that have been proposed for enhancement of speech degraded by additive background noise during past decades . Section I gives the Introduction to Speech enhancement and explain basic Spectral Subtraction technique. Section II gives the various modified versions of spectral subtraction till date.
Near Simultaneous Release of Classical and Peptide Cotransmitters from Chromaffin Cells

Adrenal chromaffin cells are an important part of the neuroendocrine system and under stressful conditions release catecholamines into the blood, thus regulating many physiological processes. In addition to the catecholamines, chromaffin cells also synthesize a range of peptides, including neuropeptide Y. Although the catecholamines and peptides are both contained within dense core granules, whether they are copackaged is less clear. Here, I investigate whether a single dense core granule can be loaded with both types of transmitter molecules. Using amperometry and FMRFamide tagging, I simultaneously measure the secretion of the catecholamines and a neuropeptide from mouse chromaffin cells in vitro. I find that fusion of a single dense core granule releases both types of transmitters into the extracellular space. Significant amounts of peptide escape from a fusing granule in 1–2 ms: almost as rapidly as the catecholamines. This suggests that the kinetics of peptide secretion might not be as sluggish as sometimes thought.
The choice of English pronunciation goals: different views, experiences and concerns of students, teachers and professionals

Abstract This study examined the choice of English pronunciation goals by Hong Kong’s major stakeholders (i.e. professionals, teachers and students) via semi-structured individual/focus group interviews. 146 participants reported on their English use experience and explained their choice among three targets, namely a native speaker (NS) target, an educated local target and a target focusing on intelligibility. The findings revealed the participants’ differing views and concerns surrounding four factors determining their choices (i.e. people’s experience of language use, the status and pragmatic value of the language goal, its perceived attainability and intelligibility). Despite the professionals’ greater experience with international communication, most of them regarded NS pronunciation as their target because of its high pragmatic value. Although some students and teachers acknowledged the importance of maintaining mutual understanding, their choice seemed to be restricted by the NS-oriented assessment criteria. This study concludes by discussing the implications of the research findings for pronunciation teaching.
An efficient cube structure for stream data analysis

Data streams are very important for many applications in different areas. Compared to the traditional data in RDBMS, data streams have different characteristics such as unlimited data size, high data speed, and flexible time intervals. In this paper, we introduce a stream cube structure to organize the aggregations of stream data. The main idea is building cuboids on exponential time frames, and using base cuboids to approximate values in any time intervals. We implement stream cube models using Hyper-Tree Forest data structure. Theory analysis and experiments demonstrate that stream cube structure and its implementation are effective and efficient to answer ad hoc queries.
How Analysts Think: Think-steps as a Tool for Structuring Sensemaking in Criminal Intelligence Analysis

Sensemaking has been described as a process involving information structuring. However, there are few detailed accounts of how this manifests in practice, particularly in relation to the creation and use of external representations such as data visualisations, and how such structuring aids sensemaking. To explore these questions in depth, we present an interview study of police crime analysts from which a model of their analysis process is developed. We describe the model focusing on the notion of 'think-steps', which for the analysts acted as a primary structuring concept. We describe how 'think-steps' propagate throughout the analysis process captured in the model. For the analysts, 'think-steps' are extensible templates that decompose a case into elements, provide a way of storing and visually structuring data, support generation of requests for information, focus research, simulate a case, and shape reporting. We reflect on the implications that our findings might have for design, including the possibility of a repertoire of evolving, sharable and reusable templates for sensemaking within a community of practice.
Extending collostructional analysis: A corpus-based perspective on `alternations'

This paper introduces an extension of distinctive-collocate analysis that takes into account grammatical structure and is specifically geared to investigating pairs of semantically similar grammatical constructions and the lexemes that occur in them. The method, referred to as `distinctive-collexeme analysis', identifies lexemes that exhibit a strong preference for one member of the pair as opposed to the other, and thus makes it possible to identify subtle distributional differences between the members of such a pair. The method can be applied in the context of what is sometimes referred to as `grammatical alternation' (e.g. the dative alternation), but it can also be applied to other choices provided by the grammar (such as the two future tense constructions in English). The method has two main applications. First, it can reveal subtle differences between seemingly synonymous constructions, many of which are difficult to identify on the basis of more traditional approaches. Second, it can be used to investigate the very notion of `alternation'; we show that many alternations are much more restricted than has hitherto been assumed, and thus confirm the claims of recent, non-derivational views of grammar.
A novel critical node in generalized networking

Critical Nodes problem is an important problem in networking. There are several types of critical nodes which having been defined. In this paper, we propose a novel type of critical nodes based on two important parameters: range and support. How to find the critical nodes to make the networking stable is the key problem. We prove that the decision form of this problem (the total cost is no more than a given threshold) is NP-complete and the optimization form of this problem (to obtain the minimum total cost) is NP-hard. Then we bring out a heuristic algorithm to solve this problem and apply this problem to banking ATM placement problem. Finally, we analyse the advantages of our heuristic algorithm.
A Unifying Model for External Noise Sources and ISI in Diffusive Molecular Communication

This paper considers the impact of external noise sources, including interfering transmitters, on a diffusive molecular communication system, where the impact is measured as the number of noise molecules expected to be observed at a passive receiver. A unifying model for noise, multiuser interference, and intersymbol interference is presented, where, under certain circumstances, interference can be approximated as a noise source that is emitting continuously. The model includes the presence of advection and molecule degradation. The time-varying and asymptotic impact is derived for a series of special cases, some of which facilitate closed-form solutions. Simulation results show the accuracy of the expressions derived for the impact of a continuously-emitting noise source, and show how approximating old intersymbol interference as a noise source can simplify the calculation of the expected bit error probability of a weighted sum detector.
From Hodgkin's Disease to Hodgkin Lymphoma: Biological Insights and Therapeutic Potential

: Reclassification of disease Lymphoma (HL) represents a milestone in the lymphoma field awarding recent insights in the molecular biology of Hodgkin and Reed-Sternberg (H-RS) cells and their environment. This review summarizes antiapoptotic and proproliferative pathways involved in the pathogenesis of this disease with the ultimate goal of translating laboratory knowledge into clinical decision making. The focus is on potential targets and novel drugs, which are discussed in the context of the complex biology of HL. Considering, that HL patients are more likely to die from acute and late toxicities than from HL itself, the introduction of targeted, biologically based therapies for HL patients with palliative and eventually curative intention might be justified.
Drainage Network Extraction from a SAREX'92 RADAR image

The purpose of this paper is to show how to extract the drainage network from the SAREX project RADAR image using Mathematical Morphology tools. The problem is to find a mapping from a grey level image into a binary image that exhibits the drainage. The selected region is from a test site in Acre, SW Amazonia, Brazil. In RADAR images, the drainage network appears with high contrast and well defined shape. Mathematical Morphology is a theory for spatial structure analysis and aims here at analyzing the shape and the forms of the drainage network. This analysis is based on the set and lattice theories. This paper uses the MMach, a Mathematical Morphology Toolbox for the KHOROS system. A comparison between visual analysis and presented method is developed.
On analyzing geotagged tweets for location-based patterns

Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of location-based patterns. The first is the association between location attributes and the locations of user tweets. The second is location association pattern which comprises a pair of locations that are co-visited by users. We demonstrate that through tracking the Twitter data of Singapore-based users, we are able to reveal association between users tweeting from school locations and the school type as well as the competitiveness of schools. We also discover location association patterns which involve schools and shopping malls. With these location-based patterns offering interesting insights about the visit behaviors of school and shopping mall users, we further develop an online visual application called Urbanatics to explore the location association patterns making use of both chord diagram and map visualization.
Psychological reactance in smoking cessation among inner Mongolian students

ABSTRACT Smoking negatively affects physical and psychological well-being. Smoking cessation is a pressing health concern in the Republic of China. This study aimed to examine differences among the effects of individual- and group-level psychological variables in contributing to smoking cessation among students in Inner Mongolia. We implemented a health survey administered to 3,947 students. Of these, 429 who were present smokers or had quit smoking were included in the analysis. Participants were evaluated on items measuring variables based on the theory of planned behavior. These included intention, attitude, subjective norms, perceived behavioral control, and stage of change in smoking cessation. Among the levels of students, ratios of those who reported having smoked were 14.3% for junior high school students, 5.4% for high school students, and 19.3% for university students. Multilevel analysis including an intra-class correlation coefficient and multilevel structural equation modeling showed that, overall, the variables contributed to quitting smoking on an individual level. The subjective norm was negatively associated with behavioral intention in group-level analysis. Increasing the group subjective norm showed potential for inducing psychological reactance. Consequently, an individualized or personalized approach is a potentially effective strategy for encouraging smoking cessation in Inner Mongolian students.
Unsupervised Chinese Semantic Dependency Analysis

Incorporating knowledge into a statistical unsupervised model, an approach of semantic dependency analysis on Chinese is presented. Semantic units and part dependency relationships are identified based on knowledge first, and then analysis is given by training the unsupervised model with extended inside-outside algorithm. Despite F1 of the experiments is not better than that of supervised approach, it can be compared with the level of the state of the art unsupervised methods of SRL and the trouble of hand-annotated corpus is dispensed with. The experiments show the extended inside-outside algorithm can overcome the shortcomings of the original one such as expensive training costs, local maximum and unsatisfactory similarity with results given by linguists.
Reframing Trauma: The Transformative Power of Meaning in Life, Work, and Community

Each year more than 700,000 people leave prison having undergone a traumatic experience. While research about the prevalence of post-traumatic stress is emerging, many returning citizens will exit the institution undiagnosed and untreated. Many inmates learn to mask their emotions and internalize their symptoms to navigate prison. Once released, they will return to society and struggle to find work, a sense of worth, pro-social identity, and place in their community. Work plays a crucial role in our sense of self, identity, and the role we play in society. In this constant comparative study, 20 formerly incarcerated staff and volunteers at faith-based or community re-entry agencies shared their lived experience of how they were able to reframe their traumatic experience by transforming into helpers and wounded-healers assisting other returning citizens. Through their agency community and work, participants found meaningful work and meaning in life. Participants felt the culture of these agencies offered a humanizing experience, empathy, and sense of belonging enabling them to create a new narrative as good and different people, and shedding labels. As staff and volunteers undergo self-change, the ex-offender label is shed, and a wounded-healer emerges. Understanding the perceptions of returning citizens who work in helping roles provides insight into addressing the psychological challenges for this population and implications for reentry.
Graphical representations and cluster algorithms II 1

We continue the study, initiated in Part I, of graphical representations and cluster algorithms for various models in (or related to) statistical mechanics. For certain models, e.g. the Blume–Emery– Gri ths model and various generalizations, we develop Fortuin Kasteleyn-type representations which lead immediately to Swendsen Wang-type algorithms. For other models, e.g. the random cluster model, that are de ned by a graphical representation, we develop cluster algorithms without reference to an underlying spin system. In all cases, phase transitions are related to percolation (or incipient percolation) in the graphical representation which, via the IC algorithm, allows for the rapid simulation of these systems at the transition point. Pertinent examples include the (continuum) Widom–Rowlinson model, the restricted 1-step solid-on-solid model and the XY model. c © 1998 Published by Elsevier Science B.V. All rights reserved
Camtology: Intelligent Information Access for Science

We describe a novel semantic search engine for scientific literature. The Camtology system allows for sentence-level searches of PDF files and combines text and image searches, thus facilitating the retrieval of information present in tables and figures. It allows the user to generate complex queries for search terms that are related through particular grammatical/semantic relations in an intuitive manner. The system uses Grid processing to parallelise the analysis of large numbers of papers.
A Risk Management Decision Support System for the Real Estate Industry

The purpose of this work is to build a risk management decision support system for the real estate industry. The decision support system would be useful for risk managers interested in real estate investment. The paper identifies the main risk management related decisions that real estate professionals made on a daily basis. Risk management decision models are selected from an extensive literature review. These models are incorporated into a decision support system. A set of reports that will support risk management real estate decisions are designed and implemented in a prototype built to demonstrate the potential of this technology in the real estate industry. The database of the decision support is populated with a sample of data collected from the real estate market of the state of California USA and results were generated to illustrate how reports can be used to support real estate risk management decisions.
The treatment of selective mutism: A case control alternating treatments design

The Treatment of Selective Mutism: A Case Control Alternating Treatments Design by Jennifer L. Vecchio Dr. Christopher Kearney, Examination Committee Chair Professor o f Psychology University of Nevada, Las Vegas This was the first study to examine the differential effectiveness of two behavioral interventions for selective mutism while employing a single-case alternating treatments design with documentation of treatment outcomes, calculation of effect size, and measures of treatment integrity. Participants were recruited via press release to the local media and the Clark County School District. Interested participants were initially screened over the telephone. If the screening indicated that a child met diagnostic criteria for selective mutism and did not meet exclusionary criteria, an assessment was scheduled. Each participant was assessed by the Anxiety Disorders Interview Schedule for Children for DSM-IV Child and Parent versions. Child Behavior Checklist, and Teacher Report Form. In addition, daily logs were collected from parents, children, and teachers to evaluate degree of mutism. The present study included nine children age 4-9 years. Five participants started with treatment A (exposure therapy) and followed the ABBABAAB pattern and four participants started with treatment B (contingency management) and followed the BAABABBA pattern. The results indicated that exposure-based therapy and
Improving delivery delay in social-based message forwarding in Delay Tolerant Networks

The Friendship and Selfishness Forwarding (FSF) is an algorithm for DTN environments that takes into account two social characteristics of the candidate nodes to relaying messages: the friendship and the individual selfishness. In this paper we adopt DLK, a buffer management policy based on the social relationship strength \cite{camilo:2014}, instead of the Drop Oldest buffer management strategy previously used. Since the original version of FSF did not deliver 40\% of the messages on the average, we try reduce this rate taking into account the cases in which the relay drops the message because the message TTL expires. We evaluate this situation by increasing the TTL value assigned to each message. Preliminary results by means of trace-driven simulations show that, after these improvements, in fact the FSF algorithm delivers more messages, because DLK strategy filters the messages dropped from buffer, deciding to keep in the buffer messages that the relay can deliver in future contacts. The difference between the results, though, are still not statistically negligible, so there is space for further deeper investigation.