Brain responses associated with consciousness of breathlessness (air hunger)

Little is known about the physiological mechanisms subserving the experience of air hunger and the affective control of breathing in humans. Acute hunger for air after inhalation of CO2 was studied in nine healthy volunteers with positron emission tomography. Subjective breathlessness was manipulated while end-tidal CO2- was held constant. Subjects experienced a significantly greater sense of air hunger breathing through a face mask than through a mouthpiece. The statistical contrast between the two conditions delineated a distributed network of primarily limbic/paralimbic brain regions, including multiple foci in dorsal anterior and middle cingulate gyrus, insula/claustrum, amygdala/periamygdala, lingual and middle temporal gyrus, hypothalamus, pulvinar, and midbrain. This pattern of activations was confirmed by a correlational analysis with breathlessness ratings. The commonality of regions of mesencephalon, diencephalon and limbic/paralimbic areas involved in primal emotions engendered by the basic vegetative systems including hunger for air, thirst, hunger, pain, micturition, and sleep, is discussed with particular reference to the cingulate gyrus. A theory that the phylogenetic origin of consciousness came from primal emotions engendered by immediate threat to the existence of the organism is discussed along with an alternative hypothesis by Edelman that primary awareness emerged with processes of ongoing perceptual categorization giving rise to a scene [Edelman, G. M. (1992) Bright Air, Brilliant Fire (Penguin, London)].

Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database: an expanded data model integrating natural language text and sequence analysis programs

The HIV Reverse Transcriptase and Protease Sequence Database is an on-line relational database that catalogs evolutionary and drug-related sequence variation in the human immunodeficiency virus (HIV) reverse transcriptase (RT) and protease enzymes, the molecular targets of anti-HIV therapy (http://hivdb.stanford.edu). The database contains a compilation of nearly all published HIV RT and protease sequences, including submissions from International Collaboration databases and sequences published in journal articles. Sequences are linked to data about the source of the sequence sample and the antiretroviral drug treatment history of the individual from whom the isolate was obtained. During the past year 3500 sequences have been added and the data model has been expanded to include drug susceptibility data on sequenced isolates. Database content has also been integrated with didactic text and the output of two sequence analysis programs.

The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species

While genome sequencing projects are advancing rapidly, EST sequencing and analysis remains a primary research tool for the identification and categorization of gene sequences in a wide variety of species and an important resource for annotation of genomic sequence. The TIGR Gene Indices (http://www.tigr.org/tdb/tgi.shtml) are a collection of species-specific databases that use a highly refined protocol to analyze EST sequences in an attempt to identify the genes represented by that data and to provide additional information regarding those genes. Gene Indices are constructed by first clustering, then assembling EST and annotated gene sequences from GenBank for the targeted species. This process produces a set of unique, high-fidelity virtual transcripts, or Tentative Consensus (TC) sequences. The TC sequences can be used to provide putative genes with functional annotation, to link the transcripts to mapping and genomic sequence data, to provide links between orthologous and paralogous genes and as a resource for comparative sequence analysis.

Does the granular matter?

Granular materials, such as sand, gravel, powders, and pharmaceutical pills, are large aggregates of macroscopic, individually solid particles, or “grains.” Far from being simple materials with simple properties, they display an astounding range of complex behavior that defies their categorization as solid, liquid, or gas. Just consider how sand can stream through the orifice of an hourglass yet support one's weight on the beach; how it can form patterns strikingly similar to a liquid when vibrated, yet respond to stirring by “unmixing” of large and small grains. Despite much effort, there still is no comprehensive understanding of other forms of matter, like ordinary fluids or solids. In what way, therefore, is granular matter special, and what makes it so difficult to understand? An emerging interdisciplinary approach to answering these questions focuses directly on the material's discontinuous granular nature.

Constructing a Neuroscientific Pastoral Theology of Fear and Hope

Contemporary therapeutic circles utilize the concept of anxiety to describe a variety of disorders. Emotional reductionism is a detriment to the therapeutic community and the persons seeking its help. This dissertation proposes that attention to the emotion of fear clarifies our categorization of particular disorders and challenges emotional reductionism. I propose that the emotion of fear, through its theological relationship to hope, is useful in therapeutic practice for persons who experience trauma and PTSD. I explore the differences between fear and anxiety by deconstructing anxiety. Through this process, I develop four categories which help the emotion of fear stand independent of anxiety in therapy. Temporality, behaviors, antidote and objects are categories which distinguish fear from anxiety. Together, they provide the impetus to explore the emotion of fear. Understanding the emotion of fear requires an examination of its neurophysiological embodiment. This includes the brain structures responsible for fear production, its defensive behaviors and the evolutionary retention of fear. Dual inheritance evolutionary theory posits that we evolved physically and culturally, helping us understand the inescapability of fear and the unique threats humans fear. The threats humans react to develop through subjective interpretations of experience. Sometimes threats, through their presence in our memories and imaginations, inhibit a person's ability to live out a preferred identity and experience hope. Understanding fear as embodied and subjective is important. Process theology provides a religious framework through which fear can be interpreted. In this framework, fear is developed as an adaptive human response. Moreover, fear is useful to the divine-human relationship, revealing an undercurrent of hope. In the context of the divine-human relationship fear is understood as an initial aim which protects a person from a threat, but also preserves them for novel future relationships. Utilizing a "double-listening" stance, a therapist hears the traumatic narrative and counternarratives of resistance and resilience. These counternarratives express an orientation towards hopeful futures wherein persons thrive through living out a preferred identity. A therapeutic practice incorporating the emotion of fear will utilize the themes of survival, coping and thriving to enable persons to place their traumatic narrative within their meaning systems.

Clinical Implications for Working with Gay Men A Self Psychological Treatment Approach.

Specific training for conducting psychotherapy with gay men is limited for psychologists, particularly when using a Self Psychology theoretical orientation (Robertson, 1996). In fact, psychologists often are faced with conflicting and contradictory points of view that mirror society's condemnation of homosexuality (Robertson, 1996). This paper is written from a self-psychological perspective to address the lack of a constructive body of literature that explains the unique treatment needs which impact gay men. Estimates of the prevalence of male homosexuality have generated considerable debate. A common assumption is that there are homosexual and non-homosexual men. However, scientists have long been aware that sexual responsiveness to others of the same sex, like most human traits, is continuously distributed in the population (Michaels, 1996). Still the presumption exists that such traits are stable within each man over time (Michaels, 1996). Conflating same-sex sexual experiences with a categorization of the man as homosexual is problematic, in that defining sexuality solely on the basis of experience excludes people who fantasize about sex with others of the same sex but never have sexual contact. Thus, most modern conceptions of sexual orientation consider personal identification, sexual behavior, and sexual fantasy (McWhirter, Sanders & Reinisch, 1990). Gay men's mental health can only be understood in the context of homosexuality throughout history, since religious and moral objections to sexual attraction between men have existed for centuries. Men who desired other men were regarded as sinful and depraved if not ill or abnormal, and same sex contacts were not distinguished from lewd behaviors (Weeks, 1989). Although most people, regardless of sexual orientation, have experienced some feelings of personal rejection, rarely do heterosexuals become targets for disapproval based on the nature of their attractions and behaviors relative to the same and to the other sex. For lesbians, bisexuals, and gay men, however, homosexuality becomes the focus of aspects of themselves that make them feel hated and hateful (Isay, 1989). While gay men and lesbians are often considered together because of the same-sex nature of their relationships and the similar issues that they may experience in their treatment within society, there are many issues where they might be best studied separately. Issues involving with health, parenthood, sexuality and perceived roles and status in society, for example, are often related more to gender than to any shared concept of a 'gay and lesbian community'. Many issues surrounding lesbians and lesbian culture will have more to do with women's issues, and some issues involving with gay men will have more to do with the gay male subculture and with masculinity. The author of this paper has limited experience in working with lesbian and bisexual individuals, and although it is likely that some of the concepts articulated in this paper could translate to working with lesbian and bisexual individuals, further research is indicated to examine the beneficence of utilizing a Self Psychological orientation in psychotherapy with lesbian women and bisexual individuals. This paper presents an overview of the literature including historical treatments of homosexuality, the history of Self Psychology, key principles in Self Psychology, research on Self Psychology, identity development models for gay men, and Self Psychological perspectives on identity development related to gay men. The literature review is followed by a section on treatment implications for psychologists seeking to treat gay men, including case vignettes based on work from my own practice. I have preserved the anonymity of clients by changing demographics, and rearranging and combining presenting issues and historical backgrounds among the case examples.

TEXT-MESS: Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies, TIN2006-15265-C06

The goal of the project is to analyze, experiment, and develop intelligent, interactive and multilingual Text Mining technologies, as a key element of the next generation of search engines, systems with the capacity to find "the need behind the query". This new generation will provide specialized services and interfaces according to the search domain and type of information needed. Moreover, it will integrate textual search (websites) and multimedia search (images, audio, video), it will be able to find and organize information, rather than generating ranked lists of websites.

Extractive text summarization: can we use the same techniques for any text?

In this paper we address two issues. The first one analyzes whether the performance of a text summarization method depends on the topic of a document. The second one is concerned with how certain linguistic properties of a text may affect the performance of a number of automatic text summarization methods. For this we consider semantic analysis methods, such as textual entailment and anaphora resolution, and we study how they are related to proper noun, pronoun and noun ratios calculated over original documents that are grouped into related topics. Given the obtained results, we can conclude that although our first hypothesis is not supported, since it has been found no evident relationship between the topic of a document and the performance of the methods employed, adapting summarization systems to the linguistic properties of input documents benefits the process of summarization.

COMPENDIUM: A text summarization system for generating abstracts of research papers

This article analyzes the appropriateness of a text summarization system, COMPENDIUM, for generating abstracts of biomedical papers. Two approaches are suggested: an extractive (COMPENDIUM E), which only selects and extracts the most relevant sentences of the documents, and an abstractive-oriented one (COMPENDIUM E–A), thus facing also the challenge of abstractive summarization. This novel strategy combines extractive information, with some pieces of information of the article that have been previously compressed or fused. Specifically, in this article, we want to study: i) whether COMPENDIUM produces good summaries in the biomedical domain; ii) which summarization approach is more suitable; and iii) the opinion of real users towards automatic summaries. Therefore, two types of evaluation were performed: quantitative and qualitative, for evaluating both the information contained in the summaries, as well as the user satisfaction. Results show that extractive and abstractive-oriented summaries perform similarly as far as the information they contain, so both approaches are able to keep the relevant information of the source documents, but the latter is more appropriate from a human perspective, when a user satisfaction assessment is carried out. This also confirms the suitability of our suggested approach for generating summaries following an abstractive-oriented paradigm.

Automatic prediction of emotions from text in Spanish for expressive speech synthesis in the chat domain

This paper describes a module for the prediction of emotions in text chats in Spanish, oriented to its use in specific-domain text-to-speech systems. A general overview of the system is given, and the results of some evaluations carried out with two corpora of real chat messages are described. These results seem to indicate that this system offers a performance similar to other systems described in the literature, for a more complex task than other systems (identification of emotions and emotional intensity in the chat domain).

COMPENDIUM: a text summarisation tool for generating summaries of multiple purposes, domains, and genres

In this paper, we present a Text Summarisation tool, compendium, capable of generating the most common types of summaries. Regarding the input, single- and multi-document summaries can be produced; as the output, the summaries can be extractive or abstractive-oriented; and finally, concerning their purpose, the summaries can be generic, query-focused, or sentiment-based. The proposed architecture for compendium is divided in various stages, making a distinction between core and additional stages. The former constitute the backbone of the tool and are common for the generation of any type of summary, whereas the latter are used for enhancing the capabilities of the tool. The main contributions of compendium with respect to the state-of-the-art summarisation systems are that (i) it specifically deals with the problem of redundancy, by means of textual entailment; (ii) it combines statistical and cognitive-based techniques for determining relevant content; and (iii) it proposes an abstractive-oriented approach for facing the challenge of abstractive summarisation. The evaluation performed in different domains and textual genres, comprising traditional texts, as well as texts extracted from the Web 2.0, shows that compendium is very competitive and appropriate to be used as a tool for generating summaries.

PoS-tagging the Web in Portuguese. National varieties, text typologies and spelling systems

The great amount of text produced every day in the Web turned it as one of the main sources for obtaining linguistic corpora, that are further analyzed with Natural Language Processing techniques. On a global scale, languages such as Portuguese - official in 9 countries - appear on the Web in several varieties, with lexical, morphological and syntactic (among others) differences. Besides, a unified spelling system for Portuguese has been recently approved, and its implementation process has already started in some countries. However, it will last several years, so different varieties and spelling systems coexist. Since PoS-taggers for Portuguese are specifically built for a particular variety, this work analyzes different training corpora and lexica combinations aimed at building a model with high-precision annotation in several varieties and spelling systems of this language. Moreover, this paper presents different dictionaries of the new orthography (Spelling Agreement) as well as a new freely available testing corpus, containing different varieties and textual typologies.

Application of Text Summarization techniques to the Geographical Information Retrieval task

Automatic Text Summarization has been shown to be useful for Natural Language Processing tasks such as Question Answering or Text Classification and other related fields of computer science such as Information Retrieval. Since Geographical Information Retrieval can be considered as an extension of the Information Retrieval field, the generation of summaries could be integrated into these systems by acting as an intermediate stage, with the purpose of reducing the document length. In this manner, the access time for information searching will be improved, while at the same time relevant documents will be also retrieved. Therefore, in this paper we propose the generation of two types of summaries (generic and geographical) applying several compression rates in order to evaluate their effectiveness in the Geographical Information Retrieval task. The evaluation has been carried out using GeoCLEF as evaluation framework and following an Information Retrieval perspective without considering the geo-reranking phase commonly used in these systems. Although single-document summarization has not performed well in general, the slight improvements obtained for some types of the proposed summaries, particularly for those based on geographical information, made us believe that the integration of Text Summarization with Geographical Information Retrieval may be beneficial, and consequently, the experimental set-up developed in this research work serves as a basis for further investigations in this field.

Tackling redundancy in text summarization through different levels of language analysis

One of the main challenges to be addressed in text summarization concerns the detection of redundant information. This paper presents a detailed analysis of three methods for achieving such goal. The proposed methods rely on different levels of language analysis: lexical, syntactic and semantic. Moreover, they are also analyzed for detecting relevance in texts. The results show that semantic-based methods are able to detect up to 90% of redundancy, compared to only the 19% of lexical-based ones. This is also reflected in the quality of the generated summaries, obtaining better summaries when employing syntactic- or semantic-based approaches to remove redundancy.

Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

In recent years, Twitter has become one of the most important microblogging services of the Web 2.0. Among the possible uses it allows, it can be employed for communicating and broadcasting information in real time. The goal of this research is to analyze the task of automatic tweet generation from a text summarization perspective in the context of the journalism genre. To achieve this, different state-of-the-art summarizers are selected and employed for producing multi-lingual tweets in two languages (English and Spanish). A wide experimental framework is proposed, comprising the creation of a new corpus, the generation of the automatic tweets, and their assessment through a quantitative and a qualitative evaluation, where informativeness, indicativeness and interest are key criteria that should be ensured in the proposed context. From the results obtained, it was observed that although the original tweets were considered as model tweets with respect to their informativeness, they were not among the most interesting ones from a human viewpoint. Therefore, relying only on these tweets may not be the ideal way to communicate news through Twitter, especially if a more personalized and catchy way of reporting news wants to be performed. In contrast, we showed that recent text summarization techniques may be more appropriate, reflecting a balance between indicativeness and interest, even if their content was different from the tweets delivered by the news providers.