Classification of dog barks: a machine learning approach

In this study we analyzed the possible context-specific and individual-specific features of dog barks using a new machine-learning algorithm. A pool containing more than 6,000 barks, which were recorded in six different communicative situations was used as the sound sample. The algorithm's task was to learn which acoustic features of the barks, which were recorded in different contexts and from different individuals, could be distinguished from another. The program conducted this task by analyzing barks emitted in previously identified contexts by identified dogs. After the best feature set had been obtained (with which the highest identification rate was achieved), the efficiency of the algorithm was tested in a classification task in which unknown barks were analyzed. The recognition rates we found were highly above chance level: the algorithm could categorize the barks according to their recorded situation with an efficiency of 43% and with an efficiency of 52% of the barking individuals. These findings suggest that dog barks have context-specific and individual-specific acoustic features. In our opinion, this machine learning method may provide an efficient tool for analyzing acoustic data in various behavioral studies.     

Portrayal of body weight on children's television sitcoms: a content analysis

Television programs portray characters with idealized body types that for most viewers are unattainable. These body types have become a common source of comparison for many young viewers who evaluate their own self-worth and bodies based on the models they see on television. This study examines body weight, both in terms of frequency and portrayals, focusing on how preadolescent and adolescent characters’ bodies are presented on the sitcoms from three children's television networks. The results indicate that while children's situation comedies have relatively few overweight characters, this small percentage closely parallels national figures. Male and female characters do not differ in their distribution across weight categories. However, when character ethnicity is factored, significant shifts occur. Surprisingly, no differences were observed in the portrayal of physical and mental attributes among weight categories except in social popularity where overweight characters were not as embedded in social networks. Compared to other relevant studies, this research provides some evidence that the treatment and portrayal of overweight characters in children-targeted sitcoms is more positive, equitable, and less stereotypical than in other programming venues and that children are experiencing body type diversity in these fictional portrayals. Nonetheless, above average weight characters still suffer some social marginality and ethnic misrepresentation.     

Floating worlds and their phantoms in the aftermath of social catastrophes

In this paper the author describes certain kinds of images (phantoms) that appear in the aftermath of social catastrophes. These phantoms come with an underlying narrative structure, which the author describes as phantom narratives. Phantom narratives show how the unconscious, working at the group and individual levels, provides political and social contexts within which the individual may find a different kind of containment for these catastrophes. In this way their suffering may be potentially processed psychologically and related to symbolically.     

Output‐sensitive complexity of multiobjective combinatorial optimization

We study output‐sensitive algorithms and complexity for multiobjective combinatorial optimization problems. In this computational complexity framework, an algorithm for a general enumeration problem is regarded efficient if it is output‐sensitive, that is, its running time is bounded by a polynomial in the input and the output size. We provide both practical examples of multiobjective combinatorial optimization problems for which such an efficient algorithm exists as well as problems for which no efficient algorithm exists under mild complexity theoretic assumptions.     

Le comportement de « prise de parole » (voice) : validation de la version française de la mesure de Maynes et Podsakoff

Voice is an essential behaviour that can inhibit or generate processes of innovation and organisational change. To date, few measurement scales adapted to the French context and allowing to analyse this behaviour exists. This article proposes to translate the 4’factors Voice scale from Maynes and Podsakoff (2014). The translation of this scale was tested by 4 studies on different samples of 1275 French workers from various organisational backgrounds. The first studies test the reliability, internal consistency, divergent and convergent validity of the scale. Then, a gender invariance analysis tests the metric properties of the scale. The results obtained present acceptable psychometric qualities that validate the French version.     

The watershed years of 1958-1962 in the Harvard Pigeon Lab

During the years 1958-1962, the final years of support by the National Science Foundation for B. F. Skinner's Pigeon Lab in Memorial Hall at Harvard University, 20 or so pigeon experiments (plus some with other organisms) ran concurrently 7 days a week. The research style emphasized experimental analyses, exploratory procedures, and the parametric exploration of variables. This reminiscence describes some features of the laboratory, the context within which it operated, and the activities of some of those who participated in it.     

An evaluation of exact methods for the multiple subset maximum cardinality selection problem

The maximum cardinality subset selection problem requires finding the largest possible subset from a set of objects, such that one or more conditions are satisfied. An important extension of this problem is to extract multiple subsets, where the addition of one more object to a larger subset would always be preferred to increases in the size of one or more smaller subsets. We refer to this as the multiple subset maximum cardinality selection problem (MSMCSP). A recently published branch‐and‐bound algorithm solves the MSMCSP as a partitioning problem. Unfortunately, the computational requirement associated with the algorithm is often enormous, thus rendering the method infeasible from a practical standpoint. In this paper, we present an alternative approach that successively solves a series of binary integer linear programs to obtain a globally optimal solution to the MSMCSP. Computational comparisons of the methods using published similarity data for 45 food items reveal that the proposed sequential method is computationally far more efficient than the branch‐and‐bound approach.     

Falling into language life: a montage of pre‐faces in search of a text‐ual body

Clinical work, as all of consciousness, is steeped in and emerges out of language. Language is the medium of our knowing, and knowing the medium of our relating. Language has us; words dream us. For the mythical Navajo as for John of the New Testament, in the Beginning was the Word. Before any kind of distinction of thought, feeling, sensation or intuition comes language – language, not as ‘just words’, but as image. Words are images, and images as encompassing worlds present themselves as and through language. As a determinant of identity, language undermines all cues as to individual subjectivity, Yahweh's ‘I am here’ rendering time and place relative, and subjectivity co‐constituted. This paper is a meditation on language for clinicians in the form that language presents itself, as a meandering flow of consciousness with associations and signposts leading onward.     

Several programming models with unascertained parameters and their applications

Several programming models are introduced with the consideration of available unascertained information. In this case, the so‐called unascertained information is some numerical values whose ranges are known but their exact values are not. These models resolve several vital weaknesses of the traditional programming methods to a certain degree. Our study includes considerations of linear and non‐linear programming models with grey parameters, grey 0–1 programming, and satisfactory and quasi‐optimal solutions of grey linear programmings. Finally, some practical applications are given in order to test the applicability of our theory. Copyright © 1999 John Wiley & Sons, Ltd.