216 research outputs found

    Reducing structural ambiguity in natural language software requirements specifications

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    Abstract. The ambiguity of natural language (NL) causes miscommunication and misunderstandings. Precision of language is particularly important in software development when handling requirements agreed between the customer and the provider. Software Requirements Specification (SRS) is a commonly used document type for specifying the requirements. A strict standard for how every SRS should be constructed does not exist, and thus it is often written in NL. However, some restricted languages can be used for specifying requirements. An example of such is Easy Approach to Requirements Syntax (EARS). In this thesis is presented an automated tool for reducing the structural ambiguity of requirements by converting NL into EARS form. Four different text datasets were used for testing the converter and they were compared before and after conversion and against each other. Both performance and ambiguity reduction of the tool were assessed using various measures. Since a standard ambiguity measurement was not available, a combination of sentence structure assessment, word occurrences against Zipf’s law, readability score and information complexity was used. The results suggest that the tool reduces structural ambiguity of sentences. The tool is successful in converting NL into the different EARS patterns and the converted sentences are less complicated and more readable, according to the results. This hints at the possibility of creating more automated tools that could be used to reduce ambiguity in NL SRS. It might not be possible to make people start using a restricted language, like EARS, for writing the documents, but with the help of automated converters, sentences could be mapped to more restricted forms to help with making better sense of them.Luonnollisen kielen rakenteellisen moniselitteisyyden vähentäminen ohjelmistojen vaatimusten määrittelyissä. Tiivistelmä. Luonnollisen kielen epämääräisyys aiheuttaa vaikeuksia kommunikoinnissa ja ymmärtämisessä. Kielen tarkkuus on erityisen tärkeää ohjelmistokehityksessä silloin kun käsitellään asiakkaan ja tarjoajan keskenään sopimia vaatimuksia ohjelmistolle. Ei ole olemassa tiukkaa standardia sille miten vaatimusten määrittelydokumentti pitäisi rakentaa, joten se usein kirjoitetaan luonnollisella kielellä. Siitä huolimatta joitain rajoitettuja kieliä voidaan käyttää yksittäisten vaatimusten määrittelyyn. Eräs esimerkki rajoitetusta kielestä on Easy Approach to Requirements Syntax (EARS). Tässä diplomityössä esitellään automatisoitu työkalu vähentämään rakenteista epämääräisyttä muuttamalla luonnollista kieltä EARS-muotoon. Neljää erilaista tekstiä käytettiin työkalun testaamiseen ja niitä verrattiin toisiinsa sekä ennen että jälkeen muuntamisen. Työkalun toimintaa ja epämääräisyyden vähentämistä mitattiin useilla metriikoilla. Epämääräisyyden mittaamiseen valittiin joukko kvantitatiivisia metriikoita: lauserakenteita analysoitiin, sanojen ilmiintyvyystiheyttä ja lausiden luettavuutta mitattiin ja informaation kompleksisuuttakin verrattiin muunnettujen ja muuntamattomien tekstien välillä. Tulosten perusteella esitelty työkalu vähentää lauseiden rakenteellista epämääräisyyttä. Se muuntaa onnistuneesti luonnollista kieltä EARS-muotoon ja tulosten mukaan muunnetut lauseet ovat vähemmän monimutkaisia ja luettavampia. Tämä viittaa siihen, että automatisoiduilla työkaluilla voisi olla mahdollista vähentää epämääräisyyttä luonnollisella kielellä kirjoitetuissa vaatimusten määrittelydokumenteissa. Vaikkei ihmisiä saataisikaan kirjoittamaan vaatimusten määrittelyjä rajoitetuilla kielillä, automatisoiduilla kielen muuntajilla lauseita voidaan uudelleenmuotoilla rajoitetumpiin muotoihin, jotta niistä saataisiin paremmin selvää

    Social Support for Chamorro Breast Cancer Survivors on Guam

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    Purpose: The purpose of this study was to assess the types of social support used by Chamorro (indigenous) breast cancer survivors on Guam. Methods: We assessed social support use among 25 self-reported Chamorro women with a diagnosis of breast cancer through interviews and construction of genograms and ecomaps -pictorial displays of the women's family relationships, medical history, and their social networks. Results: The mean age of the participants was 54.5 years. The average number of years since the diagnosis of breast cancer was 7.8 years. Respondents indicated that the nuclear family was the most important form of social support (34.2%). Indeed, nuclear family and other types of informal systems were the most common type of social support used by the women (60.2%). Formal support services, clubs, and organizations were reported by 17.9% of participants while spiritual and/or religious resources were reported by 21.9% of them. Conclusion: These Chamorro breast cancer survivors depended largely on family for social support. Support from family, although informal, should be recognized as a pivotal factor in recovery and survivorship. Future directions could incorporate formal and informal mechanisms to utilize this natural support resource

    The MINDMAP project: mental well-being in urban environments

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    __Background:__ The MINDMAP consortium (2016–2019) aims to identify opportunities provided by the urban environment for the promotion of mental well-being and functioning of older people in Europe by bringing together European cities with urban longitudinal ageing studies: GLOBE, HAPIEE, HUNT, LASA, LUCAS, RECORD, Rotterdam Study, Turin Study. A survey on mental healthcare planning policies and programmes dedicated to older persons covering the range from health promotion to need of nursing care was performed for profound data interpretation in Amsterdam, Eindhoven, Hamburg, Helsinki, Kaunas, Krakow, London, Nord-Trøndelag, Paris, Prague, Rotterdam and Turin. __Objectives:__ To collect detailed information on healthcare planning policies and programmes across these European cities to evaluate variations and to delineate recommendations for sciences, policies and planners using experience from evidence-based practice feedback from the MINDMAP cities. __Materials and methods:__ The MINDMAP partners identified experts in the 12 cities with the best background knowledge of the mental health sector. After pretesting, semi-structured telephone interviews (1–2 h) were performed always by the same person. A structured evaluation matrix based on the geriatric functioning continuum and the World Health Organization (WHO) Public Health Framework for Healthy Ageing was applied. __Results:__ A complete survey (12 out of 12) was performed reporting on 41 policies and 280 programmes on the city level. It appeared from extensive analyses that the focus on older citizens, specific target groups, and multidimensional programmes could be intensified. __Conclusion:__ There is a broad variety to cope with the challenges of ageing in health, and to address both physical and mental capacities in older individuals and their dynamic interactions in urban environments

    Chemical regeneration of thermally conditioned basalt fibres

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    The disposal of fibre reinforced composite materials is a problem widely debated in the literature. This work explores the ability to restore the mechanical properties of thermally conditioned basalt fibres through chemical treatments. Inorganic acid (HF) and alkaline (NaOH) treatments proved to be effective in regenerating the mechanical strength of recycled basalt fibres, with up to 94% recovery of the strength on treatment with NaOH. In particular, HF treatment proved to be less effective compared to NaOH, therefore pointing towards a more environmentally sustainable approach considering the disposal issues linked to the use of HF. Moreover, the strength regeneration was found to be dependent on the level of temperature experienced during the thermal treatment process, with decreasing effectiveness as a function of increasing temperature. SEM analysis of the fibres' lateral surfaces suggests that surface defects removal induced by the etching reaction is the mechanism controlling recovery of fibre mechanical properties. In addition, studies on the fracture toughness of the regenerated single fibres were carried out, using focussed ion beam (FIB) milling technique, to investigate whether any structural change in the bulk fibre occurred after thermal exposure and chemical regeneration. A significant increase in the fracture toughness for the regenerated fibres, in comparison with the as-received and heat-treated basalt ones, was measured

    Functional connectivity of spoken language processing in early-stage Parkinson’s disease : an MEG study

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    Parkinson's disease (PD) is a neurodegenerative disorder, well-known for its motor symptoms; however, it also adversely affects cognitive functions, including language, a highly important human ability. PD pathology is associated, even in the early stage of the disease, with alterations in the functional connectivity within corticosubcortical circuitry of the basal ganglia as well as within cortical networks. Here, we investigated functional cortical connectivity related to spoken language processing in early-stage PD patients. We employed a patientfriendly passive attention-free paradigm to probe neurophysiological correlates of language processing in PD patients without confounds related to active attention and overt motor responses. MEG data were recorded from a group of newly diagnosed PD patients and age-matched healthy controls who were passively presented with spoken word stimuli (action and abstract verbs, as well as grammatically correct and incorrect inflectional forms) while focussing on watching a silent movie. For each of the examined linguistic aspects, a logistic regression classifier was used to classify participants as either PD patients or healthy controls based on functional connectivity within the temporo-fronto-parietal cortical language networks. Classification was successful for action verbs (accuracy = 0.781, p-value = 0.003) and, with lower accuracy, for abstract verbs (accuracy = 0.688, pvalue = 0.041) and incorrectly inflected forms (accuracy = 0.648, p-value = 0.021), but not for correctly inflected forms (accuracy = 0.523, p-value = 0.384). Our findings point to quantifiable differences in functional connectivity within the cortical systems underpinning language processing in newly diagnosed PD patients compared to healthy controls, which arise early, in the absence of clinical evidence of deficits in cognitive or general language functions. The techniques presented here may aid future work on establishing neurolinguistic markers to objectively and noninvasively identify functional changes in the brain's language networks even before clinical symptoms emerge.Peer reviewe

    The megalithic building of S.Erasmo di Cesi: architecture, astronomy, and landscape

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    Abstract. One of the most enigmatic megalithic buildings of Italy is the structure which lies on the S. Erasmo hill near Cesi, in Umbria, a huge complex encompassing an area of around 8000 square meters and enclosed by refined cyclopean walls. Although its date is uncertain, suggested dates comprise the Iron Age and archaic period, down to the third century B.C. The building’s function is also uncertain. Usually identified as a fortified structure, in fact there is a megalithic platform at the southern end of the enclosure which could have served as foundation of a temple or palace and, from the top of Monte Torre Maggiore, a complex of temples dating from the fourth century B.C. overlooks the hill. Similar combinations of megalithic buildings resting half-way to temples placed on high peaks are known to exist. In order to clarify the function of this structure and its position in relation to the surrounding landscape, with particular attention to its visibility and to the directions of visibility from the complex, as well as to the possible astronomical alignments, we present a multi-disciplinary approach to the study of the S. Erasmo complex, which includes the mapping of the sky at the various possible epochs of construction, the creation of a digital model of the landscape in forms of digital maps using Geographic Information System technologies, and a 3D model using various 3D software packages
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