The *subjectivity* of subjective experience - A representationalist analysis of the first-person perspective

This is a brief and accessible English summary of the "Self-model Theory of Subjectivity" (SMT), which is only available as German book in this archive. It introduces two new theoretical entities, the "phenomenal self-model" (PSM) and the "phenomenal model of the intentionality-relation" PMIR. A representationalist analysis of the phenomenal first-person persepctive is offered. This is a revised version, including two pictures

Toward An Understanding of Developmental Coordination Disorder: Terminological and Diagnostic Issues

Awareness of children who experience unexpected difficulty in the acquisition of motor skills has increased dramatically over the last twenty years. Although the positing of a distinct syndrome has proven seminal in provoking further questions, several basic terminological problems remain unresolved. In this paper, we conduct a component analysis of the three, principal competing labels for this disorder, two of them being elements derived from systematic diagnostic frameworks. Our preference for the DSM IV term Developmental Coordination Disorder (DCD) is stated find justified. Problems in diagnosis are discussed, especially in relation to the etiology-dominated medical model. We argue that an attempt should be made to identify (pathological) positive signs that can reliably be detected rather than relying entirely on normative evidence of a lack of skills exhibited by other children of the same age. The high degree of overlap between DCD and other developmental disorders suggests that DCD might not constitute a distinct syndrome. In this context, we emphasize the need to determine whether incoordination takes a different form when it occurs alone or whether it is combined with general developmental delay or with other specific disorders in children of normal intelligence

Trying to break new ground in aerial archaeology

Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth’s atmosphere, the majority of aerial archaeological information is still derived from oblique photographs collected during observer-directed reconnaissance flights, a prospection approach which has dominated archaeological aerial survey for the past century. The resulting highly biased imagery is generally catalogued in sub-optimal (spatial) databases, if at all, after which a small selection of images is orthorectified and interpreted. For decades, this has been the standard approach. Although many innovations, including digital cameras, inertial units, photogrammetry and computer vision algorithms, geographic(al) information systems and computing power have emerged, their potential has not yet been fully exploited in order to re-invent and highly optimise this crucial branch of landscape archaeology. The authors argue that a fundamental change is needed to transform the way aerial archaeologists approach data acquisition and image processing. By addressing the very core concepts of geographically biased aerial archaeological photographs and proposing new imaging technologies, data handling methods and processing procedures, this paper gives a personal opinion on how the methodological components of aerial archaeology, and specifically aerial archaeological photography, should evolve during the next decade if developing a more reliable record of our past is to be our central aim. In this paper, a possible practical solution is illustrated by outlining a turnkey aerial prospection system for total coverage survey together with a semi-automated back-end pipeline that takes care of photograph correction and image enhancement as well as the management and interpretative mapping of the resulting data products. In this way, the proposed system addresses one of many bias issues in archaeological research: the bias we impart to the visual record as a result of selective coverage. While the total coverage approach outlined here may not altogether eliminate survey bias, it can vastly increase the amount of useful information captured during a single reconnaissance flight while mitigating the discriminating effects of observer-based, on-the-fly target selection. Furthermore, the information contained in this paper should make it clear that with current technology it is feasible to do so. This can radically alter the basis for aerial prospection and move landscape archaeology forward, beyond the inherently biased patterns that are currently created by airborne archaeological prospection

Intégration de ressources en recherche translationnelle : une approche unificatrice en support des systèmes de santé "apprenants"

Learning health systems (LHS) are gradually emerging and propose a complimentary approach to translational research challenges by implementing close coupling of health care delivery, research and knowledge translation. To support coherent knowledge sharing, the system needs to rely on an integrated and efficient data integration platform. The framework and its theoretical foundations presented here aim at addressing this challenge. Data integration approaches are analysed in light of the requirements derived from LHS activities and data mediation emerges as the one most adapted for a LHS. The semantics of clinical data found in biomedical sources can only be fully derived by taking into account, not only information from the structural models (field X of table Y), but also terminological information (e.g. International Classification of Disease 10th revision) used to encode facts. The unified framework proposed here takes this into account. The platform has been implemented and tested in context of the TRANSFoRm endeavour, a European project funded by the European commission. It aims at developing a LHS including clinical activities in primary care. The mediation model developed for the TRANSFoRm project, the Clinical Data Integration Model, is presented and discussed. Results from TRANSFoRm use-cases are presented. They illustrate how a unified data sharing platform can support and enhance prospective research activities in context of a LHS. In the end, the unified mediation framework presented here allows sufficient expressiveness for the TRANSFoRm needs. It is flexible, modular and the CDIM mediation model supports the requirements of a primary care LHS.Les systèmes de santé "apprenants" (SSA) présentent une approche complémentaire et émergente aux problèmes de la recherche translationnelle en couplant de près les soins de santé, la recherche et le transfert de connaissances. Afin de permettre un flot d’informations cohérent et optimisé, le système doit se doter d’une plateforme intégrée de partage de données. Le travail présenté ici vise à proposer une approche de partage de données unifiée pour les SSA. Les grandes approches d’intégration de données sont analysées en fonction du SSA. La sémantique des informations cliniques disponibles dans les sources biomédicales est la résultante des connaissances des modèles structurelles des sources mais aussi des connaissances des modèles terminologiques utilisés pour coder l’information. Les mécanismes de la plateforme unifiée qui prennent en compte cette interdépendance sont décrits. La plateforme a été implémentée et testée dans le cadre du projet TRANSFoRm, un projet européen qui vise à développer un SSA. L’instanciation du modèle de médiation pour le projet TRANSFoRm, le Clinical Data Integration Model est analysée. Sont aussi présentés ici les résultats d’un des cas d’utilisation de TRANSFoRm pour supporter la recherche afin de donner un aperçu concret de l’impact de la plateforme sur le fonctionnement du SSA. Au final, la plateforme unifiée d’intégration proposée ici permet un niveau d’expressivité suffisant pour les besoins de TRANSFoRm. Le système est flexible et modulaire et le modèle de médiation CDIM couvre les besoins exprimés pour le support des activités d’un SSA comme TRANSFoRm

The development of a nursing subset of patient problems to support interoperability

Since the emergence of electronic health records, nursing information is increasingly being recorded and stored digitally. Several studies have shown that a wide range of nursing information is not interoperable and cannot be re-used in different health contexts. Difficulties arise when nurses share information with others involved in the delivery of nursing care. The aim of this study is to develop a nursing subset of patient problems that are prevalent in nursing practice, based on the SNOMED CT terminology to assist in the exchange and comparability of nursing information. Explorative qualitative focus groups were used to collect data. Mixed focus groups were defined. Additionally, a nursing researcher and a nursing expert with knowledge of terminologies and a terminologist participated in each focus group. The participants, who work in a range of practical contexts, discussed and reviewed patient problems from various perspectives. Sixty-seven participants divided over seven focus groups selected and defined 119 patient problems. Each patient problem could be documented and coded with a current status or an at-risk status. Sixty-six percent of the patient problems included are covered by the definitions established by the International Classification of Nursing Practice, the reference terminology for nursing practice. For the remainder, definitions from either an official national guideline or a classification were used. Each of the 119 patient problems has a unique SNOMED CT identifier. To support the interoperability of nursing information, a national nursing subset of patient problems based on a terminology (SNOMED CT) has been developed. Using unambiguously defined patient problems is beneficial for clinical nursing practice, because nurses can then compare and exchange information from different settings. A key strength of this study is that nurses were extensively involved in the development process. Further research is required to link or associate nursing patient problems to concepts from a nursing classification with the same meaning

Borderline Intellectual Functioning: Consensus and good practice guidelines

Objectives: To elaborate a conceptual framework and to establish consensus guidelines. Method: A mixed qualitative methodology, including frame analysis and nominal groups techniques, was used. The literature was extensively reviewed in evidence based medical databases, scientific publications, and the grey literature. This information was studied and a framing document was prepared. Results: Scientific publications covering BIF are scarce. The term that yields a bigger number of results is ‘‘Borderline Intelligence’’. The Working Group detected a number of areas in which consensus was needed and wrote a consensus document covering the conclusions of the experts and the framing document. Conclusions: It is a priority to reach an international consensus about the BIF construct and its operative criteria, as well as to develop specific tools for screening and diagnosis. It is also necessary to define criteria that enable its incidence and prevalence. To know what interventions are the most efficient, and what are the needs of this population, is vital to implement an integral model of care centred on the individual

A model for information retrieval driven by conceptual spaces

A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge Organization Systems (KOSs) are the semantic models that encode the meaning employed for monolingual and cross-language retrieval. The focus of this research is the relationship between these meanings’ representations and their role and potential in augmenting existing retrieval models effectiveness. The proposed approach is unique in explicitly interpreting a semantic reference as a pointer to a concept in the semantic model that activates all its linked neighboring concepts. It is in fact the formalization of the information retrieval model and the integration of knowledge resources from the Linguistic Linked Open Data cloud that is distinctive from other approaches. The preprocessing of the semantic model using Formal Concept Analysis enables the extraction of conceptual spaces (formal contexts)that are based on sub-graphs from the original structure of the semantic model. The types of conceptual spaces built in this case are limited by the KOSs structural relations relevant to retrieval: exact match, broader, narrower, and related. They capture the definitional and relational aspects of the concepts in the semantic model. Also, each formal context is assigned an operational role in the flow of processes of the retrieval system enabling a clear path towards the implementations of monolingual and cross-lingual systems. By following this model’s theoretical description in constructing a retrieval system, evaluation results have shown statistically significant results in both monolingual and bilingual settings when no methods for query expansion were used. The test suite was run on the Cross-Language Evaluation Forum Domain Specific 2004-2006 collection with additional extensions to match the specifics of this model

The possibility of super-somnolent mentation: A new information-processing approach to sleep-onset acceleration and insomnia exemplified by serial diverse imagining

This paper proposes a new conceptual framework and techniques for sleep-onset acceleration: the somnolent mentation framework. It distinguishes between somnolent, asomnolent and insomnolent mentation. Somnolent mentation inherently accelerates sleep onset (SO). Insomnolent mentation (e.g., deliberating, ruminating or focusing on one’s arousal) interferes with SO. Deliberate mentation approaches to insomnia attempt to influence the participant’s mentation at SO. They may prescribe somnolent or counter-insomnolent mentation. Existing deliberate mentation approaches attempt mainly to counter insomnolent mentation (e.g., thought control through imagery distraction). Thus they are at best counter-insomnolent. Super-somnolent mentation is both somnolent and counter-insomnolent. Extended SO (E-SO) is defined as the period just before SO (P-SO) combined with SO. A scientific challenge is to correctly classify features of mentation as somnolent, asomnolent and insomnolent. This classification should be done both from a phenomena-based perspective—e.g., the empirical study of E-SO mentation— and from a designer-based perspective (in terms of a theory of the architecture of the human mind). This paper proposes a secondary hypothesis: the E-SO mentation emulation hypothesis. To emulate somnolent features of P-SO mentation is somnolent. This paper proposes also that some types of incoherent mentation are super-somnolent.  This paper presents no new empirical data. However, from the new conjectures, several predictions can be derived, new treatments developed, and new possibilities investigated. From the incoherent mentation principle the serial diverse imagining (SDI) family of techniques is derived. From this and related considerations SDI is expected to be super-somnolent

CAPS-5 intervjuu adapteerimine eesti keelde: pilootprojekt

The aim of the current Bachelor’s thesis was to produce a comprehensible Estonian version of the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), as part of a more extensive adaptation process. To achieve this objective, the original English version of the CAPS-5 was translated into Estonian and then reviewed and revised by a team of experts comprising of three clinical psychologists with experience in trauma related work and a psychiatrist. The Estonian version of the CAPS-5 was then reviewed by a clinical psychologist and expert in the field in question who did not participate in previous discussion and editing of the Estonian CAPS-5. The final version of the Estonian CAPS-5 was tested with a small community sample of six individuals who had endorsed trauma exposure, in order to examine its comprehensibility and draw primary conclusions about whether or not it indicates the presence or absence of post-traumatic stress disorder (PTSD). The results indicated that the Estonian CAPS-5 was generally clear and understandable and enables to establish a diagnosis