Miracle-dz/UniFAR-FTUs huggingface dataset:
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016 Workshop (DCASE2016)

In this paper, we propose the use of spatial and harmonic features in combination with long short term memory (LSTM) recurrent neural network (RNN) for automatic sound event detection (SED) task. Real life sound recordings typically have many overlapping sound events, making it hard to recognize with just mono channel audio. Human listeners have been successfully recognizing the mixture of overlapping sound events using pitch cues and exploiting the stereo (multichannel) audio signal available at their ears to spatially localize these events. Traditionally SED systems have only been using mono channel audio, motivated by the human listener we propose to extend them to use multichannel audio. The proposed SED system is compared against the state of the art mono channel method on the development subset of TUT sound events detection 2016 database [1]. The usage of spatial and harmonic features are shown to improve the performance of SED.
Learning of Restriction for Partially Supervising Huddles

Supervising huddles learning is a class of supervised learning tasks and techniques that also make use of unlabeled data for training typically a small amount of labelled data with a large amount of unlabeled data. The huddles learning falls between unsupervised learning (without any labelled training data) and supervised learning (with completely labelled training data). Many machine huddles researchers have found that unlabeled data, when used in accuracy with a small amount of labelled data, can produce considerable improvement in learning accuracy. The cost associated with the labelling process thus may render a fully labelled training set infeasible, whereas attainment of unlabeled data is relatively inexpensive. In such situations, supervising huddles learning can be of great practical value. Partially supervising huddles learning is also of theoretical interest in machine learning and as a model for human
Intertextuality: Debates and Contexts

Prologue. Introduction. Chapter 1 - Intertextuality. Kristeva's Term in Context. Kristeva's Intertextuality and Semeiotike. Barthes. Riffaterre. Interdiscursivity. Interdisciplinarity. Internet and Hypertext. Chapter 2 - Influence. Influence v Intertextuality. Bloom's 'Anxiety of Influence' in Context. Harold Bloom. 'Traditional' Influence. Chapter 3 - Imitation. Imitation in Context: Mimesis or Anti-mimesis? Richard Dawkins: Genetics and 'Memetics'. Gerard Genette: Rhetoric and the Mimologic. Rene Girard: Sandal and Excommunication. Countering the Canon: Imitatio v Plagiarism, Forgery, Counterfeit. Chapter 4 - Quotation. Quotation in context: Dictionary or Postmodern Definitions? Quotation's Crystallizations: Illustrations in Few Other Words. AllusionQuotation's Aptness: Adeptness in Other Words. Abridgement as Allegory and Parable. Bridging as Cycle and Cyclification. Span and Interpretation. Quotation as Extraction: Re-circulations and Exchanges in so Many Other Words. Prophecy. Translation. Coda: the Return of Reference and the Work of Paul Ricoeur. Conclusions. Notes. Refernces and Bibliography. Index. Dictionary of Alternative Terms.
Bifurcation analysis of an age-structured alcoholism model

ABSTRACT In this paper, we investigate a new alcoholism model in which alcoholics have age structure. We rewrite the model as an abstract non-densely defined Cauchy problem and obtain the condition which guarantees the existence of the unique positive steady state. By linearizing the model at steady state and analyzing the associated characteristic transcendental equations, we study the local asymptotic stability of the steady state. Furthermore, by using Hopf bifurcation theorem in Liu et al. (Z. Angew. Math. Phys. 62 (2011) 191–222), we show that Hopf bifurcation occurs at the positive steady state when bifurcating parameter crosses some critical values. Finally, we perform some numerical simulations to illustrate our theoretical results and give a brief conclusion.
Consumers’ Green Purchase Decision: A Study in Durg City

Indians are more concerned about environmental issues which are causing impact over their health. Various environmental issues that are affecting human health directly or indirectly are pollution (air, water, and land), climate change, global warming etc. This led to change in their behavior towards environment and finally resulted in shifting consumer’s behavior towards buying and using eco-friendly products also called as green products. Considering above background this paper is an attempt to study the green consumer behavior for respondents in Durg city. For the purpose of study 50 respondents were sampled purposively. Finding of the study indicate that consumers green purchase decision in Durg city is influenced by their environmental concern and attitude towards green products.
Mating system and sex allocation in the gregarious parasitoid Cotesia glomerata


Abstract The gregarious parasitoid Cotesia glomerata (L.) is often presumed to possess the characteristic attributes of a species that manifests local mate competition (LMC), as it commonly produces female-biased broods. However, our field surveys of sex ratio and laboratory observations of adult behaviour showed that this species is subject to partial local mate competition caused by natal dispersal. On average, 30% of males left their natal patch before mating, with the proportion of dispersing males increasing with an increase in the patch's sex ratio (i.e. proportion of males). Over 50% of females left their natal patch before mating, and only 27.5% of females mated with males emerging from the same natal patch. Although females showed no preference between males that were and were not their siblings, broods from females that mated with siblings had a significantly higher mean brood sex ratio (0.56) than broods from females that mated with nonsiblings (0.39). Furthermore, brood sex ratios increased as inbreeding was intensified over four generations. A field population of this wasp had a mean brood sex ratio of 0.35 over 3 years, which conformed well to the evolutionarily stable strategy sex ratio ( r =0.34) predicted by Taylor's partial sibmating model for haplodiploid species. These results suggest that the sex allocation strategy of C. glomerata is based on both partial local mate competition in males and inbreeding avoidance in females. In turn, this mating system plays a role in the evolution of natal dispersal behaviour in this species. Copyright 2003 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour.
Collegiate Recovery Program (CRP): Student Needs and Employee Roles

Background: Research on Collegiate Recovery Programs (CRPs) is emerging. There is a need to examine aspects of CRPs to highlight program efficacy and best practices within local settings.Aim: As distinct cycles within a larger action research study, two small inquiries within a local university setting assessed: (1) how student members of the organization "Students for Recovery" defined their needs, and (2) how student employees of the CRP described their roles and success in their work.Methods: Semi-structured interviews examined students in recovery and student CRP employees.Results: Thematic analysis for each group produced two sets of qualitative results. Members of the student organization "Students for Recovery" described their needs as social support and safety, awareness and advocacy. Student employees of the CRP described their role as outreach and one-on-one support as well as strategic program planning. Instances of success were described as the departmental support, and their unique peer perspective.Conclusions: Two queries described needs of students in recovery and role descriptions of student CRP employees within a specific setting. Robust studies are needed to understand the impact of local CRP programs and can provide context to guide informed, responsive programming and best practices.
Factor Graphs for Robot Perception

We review the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are a family of probabilistic graphical models, other examples of which are Bayesian networks and Markov random fields, well known from the statistical modeling and machine learning literature. They provide a powerful abstraction that gives insight into particular inference problems, making it easier to think about and design solutions, and write modular software to perform the actual inference. We illustrate their use in the simultaneous localization and mapping problem and other important problems associated with deploying robots in the real world. We introduce factor graphs as an economical representation within which to formulate the di erent inference problems, setting the stage for the subsequent sections on practical methods to solve them. We explain the nonlinear optimization techniques for solving arbitrary nonlinear factor graphs, which requires repeatedly solving large sparse linear systems. The sparse structure of the factor graph is the key to understanding this more general algorithm, and hence also understanding (and improving) sparse factorization methods. We provide insight into the graphs underlying robotics inference, and how their sparsity is a ected by the implementation choices we make, crucial for achieving highly performant algorithms. As many inference problems in robotics are incremental, we also discuss the iSAM class of algorithms that can reuse previous computations, re-interpreting incremental matrix factorization methods as operations on graphical models, introducing the Bayes tree in the process. Because in most practical situations we will have to deal with 3D rotations and other nonlinear manifolds, we also introduce the more sophisticated machinery to perform optimization on nonlinear manifolds. Finally, we provide an overview of applications of factor graphs for robot perception, showing the broad impact factor graphs had in robot perception. F. Dellaert and M. Kaess. Factor Graphs for Robot Perception. Foundations and Trends® in Robotics, vol. 6, no. 1-2, pp. 1–139, 2017. DOI: 10.1561/2300000043.
Problem-Based Learning for Critical Thinking Skills in Mathematics

This study aims to find out how to develop a student’s critical thinking skills through problem-based learning. Single-case single-side case design was selected as the method of this study and a lecture was involved to carry out the classroom instruction. The data were collected through observations, interviews, and document analyses. The findings suggest that the development of mathematical critical thinking skills using problem-based learning was performed in two stages: (1) controversial issue and (2) active debate. Our study confirms that problem-based learning is an effective alternative to develop university student’s critical thinking skills in mathematics.
On the Competitiveness Effects of Quality Labels: Evidence from the French Cheese Industry

The paper questions the impact of geographical indication labels on firm export competitiveness in the French cheese and cream industry. We use firm level data from the French custom and an original dataset of firms and products concerned by Protected Designations of Origin (PDO). Our estimations show that PDO labeling allows firms to increase their price by 11.5% on average. Moreover these products are perceived by consumers as products of better quality than non-PDO products. Regarding trade margins, while the effect on trade volume (the intensive margin of trade) is not significant, PDO labeling increases the probability of serving a foreign country (the extensive margin of trade). Our estimations show that exports of PDO products would increase by 11.4% if non-EU consumers value PDO label as much as EU consumers.
Optimal power control of parallel orthogonalfrequency-division-multiplexing relaying networks

This article studies the power allocation (PA) problem for dual-hop orthogonal-frequency-division-multiplexing (OFDM) relaying networks, in which a source communicates with a destination with the help of multiple amplify-and-forward relays that employ parallel transmission protocol. The objective is to maximise the system achievable rate, under which an aggregate power constraint is imposed on all relays, and an individual link rate constraint is imposed on each OFDM subchannel. Based on Zhao et al's prior work, the simpler PA problem without considering those rate constraints is firstly solved by optimally allocating the total power across all OFDM subchannels. Then, for the original problem with both power and rate constraints, an order structure is proposed such that in the optimal PA scheme, those subchannels that attain respective maximum link rates are determined one by one, that is the complexity to determine those subchannels is considerably reduced from exponential to linear order.
Information Retrieval on the Blogosphere

Blogs have recently emerged as a new open, rapidly evolving and reactive publishing medium on the Web. Rather than managed by a central entity, the content on the blogosphere — the collection of all blogs on the Web — is produced by millions of independent bloggers, who can write about virtually anything. This open publishing paradigm has led to a growing mass of user-generated content on the Web, which can vary tremendously both in format and quality when looked at in isolation, but which can also reveal interesting patterns when observed in aggregation. One field particularly interested in studying how information is produced, consumed, and searched in the blogosphere is information retrieval. In this survey, we review the published literature on searching the blogosphere. In particular, we describe the phenomenon of blogging and the motivations for searching for information on blogs. We cover both the search tasks underlying blog searchers' information needs and the most successful approaches to these tasks. These include blog post and full blog search tasks, as well as blog-aided search tasks, such as trend and market analysis. Finally, we also describe the publicly available resources that support research on searching the blogosphere.
Subliminal Perception of Pictures in the Right Hemisphere

We addressed the questions whether stimuli presented below the threshold of verbal awareness are nevertheless perceived and whether there are perceptual differences between the two cerebral hemispheres. Pictures of line drawn objects and animals were subliminally presented to each visual half-field for subsequent identification in a form as fragmented as possible. The performance of 40 healthy subjects was compared to that of 63 controls. Whereas identification performance after blank presentation in the experimental group did not differ from that of controls, identification in a significantly more fragmented form was achieved after the presentation of the complete picture. This effect, however, occurred only after subliminal stimulation in the left visual field, i.e., of the right hemisphere. Our results show that (i) pictures presented below the threshold of verbal awareness can be perceived, and (ii) that only the right hemisphere can perceive them and make use of the perception. It remains an open question whether this kind of hemispheric specialization represents a right hemisphere dominance for subliminal perception or reflects an inability of the left hemisphere to access and behaviorally use unaware percepts via fragmented picture identification, for which a right hemisphere advantage is known.
Survey on Student Motivation and Participation in Futsal Extracurricular

: Motivation and participation are dynamic motivating factors. There is a limited teachers' knowledge of motivation and participation of students to participate in futsal extracurricular activities. This study aims to determine how the motivation and participation of students in futsal extracurricular. The research method used is descriptive survey method. It was done by using research instrument in the form of motivation questionnaire and participation. Analytical technique used is to perform the percentage of data by recapitulation of answer questionnaire results filled by respondents based on the choice of answers so that it can be seen some of each number of choices in the data. The results showed that the score of male students who participated in futsal extracurricular activities had an average score of participation motivation included in good category, the score of female students who participated in futsal extracurricular activities had an average value of motivation and participation values included in both categories, overall student scores who participated in futsal extracurricular activities have the average score of motivation and participation score included in good category, when viewed from result of percentage hence the value of motivation and participation of female student is higher than male student because female is more flexible with thinking compared male, so female can catch many unlimited thoughts or catching new lessons than the male. In addition, the female is more attentive and focused, so the female more easily passes with good score than male.
Heterogenous loss of mismatch repair (MMR) protein expression: a challenge for immunohistochemical interpretation and microsatellite instability (MSI) evaluation

Immunohistochemistry (IHC) for mismatch repair (MMR) proteins is used to identify MMR status: being diffusely positive (intact/retained nuclear staining) or showing loss of nuclear tumour staining (MMR protein deficient). Four colonic adenocarcinomas and a gastric adenocarcinoma with associated dysplasia that displayed heterogenous IHC staining patterns in at least one of the four MMR proteins were characterised by next‐generation sequencing (NGS). In order to examine a potential molecular mechanism for these staining patterns, the respective areas were macrodissected, analysed for microsatellite instability (MSI) and investigated by NGS and multiplex ligation‐dependent probe amplification (MLPA) analysis of MLH1, MSH2, MSH6 and PMS2 genes, including MLH1 methylation analysis. One colonic adenocarcinoma showed heterogenous MSH6 IHC staining and molecular analysis demonstrated increasing allelic burden of two MSH6 frameshift variants (c.3261delC and c.3261dupC) in areas with MSH6 protein loss compared to areas where MSH6 was retained. Two colonic adenocarcinomas with heterogenous MLH1 staining showed no differences in sequence variants. In one of these cases, however, MLH1 was hypermethylated in the area of MLH1 loss. Another colon carcinoma with heterogenous PMS2 staining (but with retained MSH6) showed both MSH6 c.3261dupC and 3260_3261dupCC where PMS2 protein was lost and only c.3261dupC where PMS2 was retained. The gastric carcinoma showed complete loss of MSH6 in dysplastic foci, while the underlying invasive carcinoma showed retention of MSH6. Both these areas, however, were MSI‐high and showed the same MSH6 variant: c.3261delC. The gastric dysplasia additionally showed MSH6 c.3261dupC. In four of the five cases where MMR protein was lost, these areas were MSI‐high. Heterogenous MMR IHC (focal and/or zonal within the same tumour or between invasive and dysplastic preinvasive areas) is not always due to artefact and is invariably related to MSI‐high status in the areas of loss. An interesting aspect to this study is the presence of MSH6 somatic mutations irrespective of whether MSH6 IHC staining was intact or lost.
Time-Predictable Embedded Software on Multi-Core Platforms: Analysis and Optimization

Multi-core architectures have recently gained popularity due to their high-performance and low-power characteristics. Most of the modern desktop systems are now equipped with multi-core processors. Despite the wide-spread adaptation of multi-core processors in desktop systems, using such processors in embedded systems still poses several challenges. Embedded systems are often constrained by several extra-functional aspects, such as time. Therefore, providing guarantees for time-predictable execution is one of the key requirements for embedded system designers. Multi-core processors adversely affect the time-predictability due to the presence of shared resources, such as shared caches and shared buses. In this contribution, we shall first discuss the challenges imposed by multi-core architectures in designing time-predictable embedded systems. Subsequently, we shall describe, in details, a comprehensive solution to guarantee time-predictable execution on multi-core platforms. Besides, we shall also perform a discussion of different techniques to provide an overview of the state-of-the-art solutions in this topic. Through this work, we aim to provide a solid background on recent trends of research towards achieving time-predictability on multi-cores. Besides, we also highlight the limitations of the state-of-the-art and discuss future research opportunities and challenges to accomplish time-predictable execution on multi-core platforms.
DOA estimation with synthetic nested array using moving sensor

The synthetic aperture methods are widely used to extend array aperture by exploiting platform motion. In this paper, a synthetic nested array using moving sensor for DOA estimation is proposed. With the moving sensor, we can construct a longer nested array which is equivalent to the real array. Then traditional DOA estimation algorithms for nested array can also be applied, such as spatial smooth MUSIC algorithm. By extending the array aperture and exploiting synthetic nested array, the DOA estimation performance can be improved. In the ideal case, the performance of synthetic and real array is the same which is vilified by performance analysis and simulations.
Ocean‐Scale Interactions From Space

Satellite observations of the last two decades have led to a major breakthrough emphasizing the existence of a strongly energetic mesoscale turbulent eddy field in all the oceans. This ocean mesoscale turbulence is characterized by cyclonic and anticyclonic eddies (with a 100‐ to 300‐km size and depth scales of ∼500–1,000 m) that capture approximatively 80% of the total kinetic energy and is now known to significantly impact the large‐scale ocean circulation, the ocean's carbon storage, the air‐sea interactions, and therefore the Earth climate as a whole. However, ocean mesoscale turbulence revealed by satellite observations has properties that differ from those related to classical geostrophic turbulence theories. In the last decade, a large number of theoretical and numerical studies has pointed to submesoscale surface fronts (1–50 km), not resolved by satellite altimeters, as the key suspect explaining these discrepancies. Submesoscale surface fronts have been shown to impact mesoscale eddies and the large‐scale ocean circulation in counterintuitive ways, leading in particular to up‐gradient fluxes. The ocean engine is now known to involve energetic scale interactions, over a much broader range of scales than expected one decade ago, from 1 to 5,000 km. New space observations with higher spatial resolution are however needed to validate and improve these recent theoretical and numerical results.