A first-principles analysis of the magnetism of CuII polynuclear coordination complexes: the case of [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5H2O

The magnetic structure of the [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5 H2Ocrystal - using fractional coordinates determined at room-temperature ¿ has beenanalysed in detail. This analysis has been carried out by extending our first principlesbottom-up theoretical approach, which was initially designed to study through-spacemagnetic interactions, to handle through-bond magnetic interactions. The only input datarequired by this approach are the values of the computed JAB exchange parameters for allthe unique pairs of spin-containing centres. The results allow the magnetic structure ofthe crystal, which presents two types of isolated tetranuclear CuII clusters, to be definedin quantitative terms. Each of these clusters presents ferro and antiferromagneticinteractions, the former being stronger, although outnumbered by the latter. Thecomputed magnetic susceptibility curve shows the same qualitative features as theexperimental data. However, there are small differences that are presumed to beassociated with the use of room-temperature crystal coordinates.

A first-principles analysis of the magnetism of CuII polynuclear coordination complexes: the case of [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5H2O

The magnetic structure of the [Cu4(bpy)4(aspartate)2(H2O)3](ClO4)4·2.5 H2Ocrystal - using fractional coordinates determined at room-temperature ¿ has beenanalysed in detail. This analysis has been carried out by extending our first principlesbottom-up theoretical approach, which was initially designed to study through-spacemagnetic interactions, to handle through-bond magnetic interactions. The only input datarequired by this approach are the values of the computed JAB exchange parameters for allthe unique pairs of spin-containing centres. The results allow the magnetic structure ofthe crystal, which presents two types of isolated tetranuclear CuII clusters, to be definedin quantitative terms. Each of these clusters presents ferro and antiferromagneticinteractions, the former being stronger, although outnumbered by the latter. Thecomputed magnetic susceptibility curve shows the same qualitative features as theexperimental data. However, there are small differences that are presumed to beassociated with the use of room-temperature crystal coordinates.

Factors affecting visual analysis in single-case designs

Visual inspection remains the most frequently applied method for detecting treatment effects in single-case designs. The advantages and limitations of visual inference are here discussed in relation to other procedures for assessing intervention effectiveness. The first part of the paper reviews previous research on visual analysis, paying special attention to the validation of visual analysts" decisions, inter-judge agreement, and false alarm and omission rates. The most relevant factors affecting visual inspection (i.e., effect size, autocorrelation, data variability, and analysts" expertise) are highlighted and incorporated into an empirical simulation study with the aim of providing further evidence about the reliability of visual analysis. Our results concur with previous studies that have reported the relationship between serial dependence and increased Type I rates. Participants with greater experience appeared to be more conservative and used more consistent criteria when assessing graphed data. Nonetheless, the decisions made by both professionals and students did not match sufficiently the simulated data features, and we also found low intra-judge agreement, thus suggesting that visual inspection should be complemented by other methods when assessing treatment effectiveness.

Using plan analysis in psychotherapeutic case formulation of borderline personality disorder.

A comprehensive understanding of the patient's problems is essential for a constructive therapeutic behaviour, especially in borderline personality disorder (BPD) where difficult interpersonal patterns are persistent. In these circumstances, the use of an integrative case formulation approach such as Plan Analysis, developed by K. Grawe and F. Caspar, can be of help for therapy planning. The focus here is on instrumental relations between behaviours and the hypothetical Plans and motives 'behind' those behaviours. The present qualitative study aimed at setting a prototypical Plan structure for n = 15 patients presenting a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, diagnosis of BPD using Plan Analysis. The first psychotherapeutic session of every outpatient was video-taped and evaluated according to the Plan Analysis procedure. Inter-rater reliability was established between two independent raters and was considered sufficient. The detailed prototypical Plan structure of BPD showed two main tendencies: first, the important presence of support-seeking among these patients and second, the will to be in control and to protect oneself. This study confirms the existence of several core similarities in the functioning of patients with BPD. These findings are in line with earlier studies and expand the latter with the aim of contributing to the understanding of BPD psychopathology. Clinical implications are discussed. Copyright © 2011 John Wiley & Sons, Ltd. KEY PRACTITIONER MESSAGE: Plan Analysis can especially be of help with patients who have difficult interpersonal patterns, as those presenting with BPD. Two tendencies were found within BPD patients: (1) support-seeking and (2) control and self-protecting Plans. Further research using Plan Analysis should focus on the identification and detail of emotions within BPD.

Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies.

ABSTRACT: BACKGROUND: Decision curve analysis has been introduced as a method to evaluate prediction models in terms of their clinical consequences if used for a binary classification of subjects into a group who should and into a group who should not be treated. The key concept for this type of evaluation is the "net benefit", a concept borrowed from utility theory. METHODS: We recall the foundations of decision curve analysis and discuss some new aspects. First, we stress the formal distinction between the net benefit for the treated and for the untreated and define the concept of the "overall net benefit". Next, we revisit the important distinction between the concept of accuracy, as typically assessed using the Youden index and a receiver operating characteristic (ROC) analysis, and the concept of utility of a prediction model, as assessed using decision curve analysis. Finally, we provide an explicit implementation of decision curve analysis to be applied in the context of case-control studies. RESULTS: We show that the overall net benefit, which combines the net benefit for the treated and the untreated, is a natural alternative to the benefit achieved by a model, being invariant with respect to the coding of the outcome, and conveying a more comprehensive picture of the situation. Further, within the framework of decision curve analysis, we illustrate the important difference between the accuracy and the utility of a model, demonstrating how poor an accurate model may be in terms of its net benefit. Eventually, we expose that the application of decision curve analysis to case-control studies, where an accurate estimate of the true prevalence of a disease cannot be obtained from the data, is achieved with a few modifications to the original calculation procedure. CONCLUSIONS: We present several interrelated extensions to decision curve analysis that will both facilitate its interpretation and broaden its potential area of application.

Gas analysis of exhumed cadavers buried for 30 years: a case report about long time alteration.

Due to important alteration caused by long time decomposition, the gases in human bodies buried for more than a year have not been investigated. For the first time, the results of gas analysis sampled from bodies recently exhumed after 30 years are presented. Adipocere formation has prevented the bodies from too important alteration, and gaseous areas were identified. The sampling was performed with airtight syringes assisted by multi-detector computed tomography (MDCT) in those specific areas. The important amount of methane (CH4), coupled to weak amounts of hydrogen (H2) and carbon dioxide (CO2), usual gaseous alteration indicators, have permitted to confirm methanogenesis mechanism for long period of alteration. H2 and CO2 produced during the first stages of the alteration process were consumed through anaerobic oxidation by methanogenic bacteria, generating CH4.

The fallacy of slimming products: a case analysis in Switzerland

Introduction: Many people desire to lose weight. This favors the marketing of "miracle" products with overemphasized slimming capacities. To our knowledge, no study regarding the claimed performances of slimming products has ever been conducted in Switzerland. Objectives: To assess weight loss claims of slimming products available in Switzerland by analyzing their corresponding advertisements. Methods: Between May 2008 and February 2013, 31 advertisements for 13 different slimming products from a single producer were collected. Weight loss claims and text of the advertisement were analyzed. Results: Weight loss claims ranged between 7 and 31 kg, with an estimated daily weight loss ranging between 300 g and 1 kg. 84% of the advertisements targeted women (by including the photograph of a woman), 61% showed a picture of a person before and after using the product, and 51% claimed that the product had improved marital relationships. The terms "natural", "miracle/extraordinary" and "scientific" were present in 92%, 77%, and 31% of the products, respectively. Free gifts were provided to buyers for 69% of the products. Cost was very similar for all 13 products (range: 49 to 59 CHF, with 8 products costing the same amount) and no correlation was found between cost of the product and weight loss claims. No differences were found for weight loss claims according to presence or absence of a picture or of the terms ".natural", ".miracle/extraordinary" and ".scientific" Finally, the yearly costs for advertising such products (French-speaking Switzerland) ranged between 56,000 and 126,000 CHF, suggesting that the gains obtained were higher than this value. Conclusion: In Switzerland, advertisements for slimming products use positive and reassuring terms to attract consumers, which are lured by unreachable, false promises of rapid and easy weight loss. Taking into account the costs of advertising, the gains obtained appear to be significant. Legislation on advertising of such products is urgently needed.

Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning

This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is that the standard PCA techniques are designed to deal with numerical attributes, but our medical data set contains many categorical data and alternative methods as RS-PCA are required. Thus, we propose to hybridize RS-PCA (Regular Simplex PCA) and a simple CBR. Results show how the hybrid system produces similar results when diagnosing a medical data set, that the ones obtained when using the original attributes. These results are quite promising since they allow to diagnose with less computation effort and memory storage

Body mass index and risk of head and neck cancer in a pooled analysis of case-control studies in the International Head and Neck Cancer Epidemiology (INHANCE) Consortium.

BACKGROUND: Head and neck cancer (HNC) risk is elevated among lean people and reduced among overweight or obese people in some studies; however, it is unknown whether these associations differ for certain subgroups or are influenced by residual confounding from the effects of alcohol and tobacco use or by other sources of biases. METHODS: We pooled data from 17 case-control studies including 12 716 cases and the 17 438 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for associations between body mass index (BMI) at different ages and HNC risk, adjusted for age, sex, centre, race, education, tobacco smoking and alcohol consumption. RESULTS: Adjusted ORs (95% CIs) were elevated for people with BMI at reference (date of diagnosis for cases and date of selection for controls) 25.0-30.0 kg/m(2) (0.52, 0.44-0.60) and BMI >/=30 kg/m(2) (0.43, 0.33-0.57), compared with BMI >18.5-25.0 kg/m(2). These associations did not differ by age, sex, tumour site or control source. Although the increased risk among people with BMI 25 kg/m(2) was present only in smokers and drinkers. CONCLUSIONS: In our large pooled analysis, leanness was associated with increased HNC risk regardless of smoking and drinking status, although reverse causality cannot be excluded. The reduced risk among overweight or obese people may indicate body size is a modifier of the risk associated with smoking and drinking. Further clarification may be provided by analyses of prospective cohort and mechanistic studies.

R&D Performance Analysis: Case Studies on the Challenges and Promotion of the Evaluation and Measurement of R&D

Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.

Mediterranean diet and risk of endometrial cancer: a pooled analysis of three italian case-control studies.

BACKGROUND: Some components of the Mediterranean diet have favourable effects on endometrial cancer, and the Mediterranean diet as a whole has been shown to have a beneficial role on various neoplasms. METHODS: We analysed this issue pooling data from three case-control studies carried out between 1983 and 2006 in various Italian areas and in the Swiss Canton of Vaud. Cases were 1411 women with incident, histologically confirmed endometrial cancer, and controls were 3668 patients in hospital for acute diseases. We measured the adherence to the Mediterranean diet using a Mediterranean Diet Score (MDS), based on the nine dietary components characteristics of this diet, that is, high intake of vegetables, fruits/nuts, cereals, legumes, fish; low intake of dairy products and meat; high monounsaturated to saturated fatty acid ratio; and moderate alcohol intake. We estimated the odds ratios (OR) and the corresponding 95% confidence intervals (CI) for increasing levels of the MDS (varying from 0, no adherence, to 9, maximum adherence) using multiple logistic regression models, adjusted for major confounding factors. RESULTS: The adjusted OR for a 6-9 components of the MDS (high adherence) compared with 0-3 (low adherence) was 0.43 (95% CI 0.34-0.56). The OR for an increment of one component of MDS diet was 0.84 (95% CI 0.80-0.88). The association was consistent in strata of various covariates, although somewhat stronger in older women, in never oral contraceptive users and in hormone-replacement therapy users. CONCLUSIONS: Our study provides evidence for a beneficial role of the Mediterranean diet on endometrial cancer risk, suggesting a favourable effect of a combination of foods rich in antioxidants, fibres, phytochemicals, and unsaturated fatty acids.

Scenario analysis in evaluation of emerging technology - Case Bluetooth

Tutkimuksen tavoitteena oli selvittää millaisia ympäristöskenaarioita tietoliikenteelle toimialana voidaan rakentaa ja mitkä näistä skenaarioista suosivat Bluetoothin diffuusiota ja kehittymistä nykyisten tuote- ja palvelunäkemysten valossa. Lisäksi pyrittiin arvioimaan, mitkä ympäristötekijät ja suuntaukset saattavat vaikuttaa Bluetoothin diffuusioon. Tutkimus rajoittui eurooppalaisen tietoliikenneympäristön tarkasteluun viiden vuoden aikana. Tietoliikennetoimialan nykytilaa ja tulevaisuutta koskevan kirjallisuuden pohjalta luotiin kolme alustavaa skenaariorunkoa. Näitä runkoja arvioitiin asiantuntijahaastattelujen avulla, jotta skenaarioista saataisiin monipuolisempia ja niiden johdonmukaisuutta voitaisiin parantaa. Lopullisia skenaarioita verrattiin Bluetoothin käyttökohteista esitettyihin näkemyksiin. Skenaarioiden teemat olivat “Fokusoidut bisnessovellukset”, “Viihdettä massoille” sekä “Tietoa kaikille”. Havaittiin, että Bluetoothin omaksumiseen vaikuttavat eniten seuraavat tekijät: teknologian sosiaalinen hyväksyntä, toimialan halukkuus teknologian edistämiseen sekä Bluetoothin ja sen kilpailijoiden kehittyminen jatkossa.

Market Opportunities Analysis for Logistics Solutions Provider Case Danzas Solutions

Tutkielman tavoitteena oli suunitella markkina-analyysi ja sitä käyttäen määritellä Danzasin Solutions liiketoimintayksikön mahdollisuuksia laajentaa toimintaansa Suomen terveydenhuolto/ lääke- ja elektroniikka/ telekommunikaatiosektoreilla. Danzas Solutions toimisi logistiikkaintegraattorina toimittamalla kokonaisvaltaisia logistisia ratkaisuja. Tutkimus tehtiin haastattelemalla neljää Danzasin asiakasta. Mahdollisimman laajan ja yleistettävän tuloksen saamiseksi haastateltavat valitiin logistiikan ulkoistamisasteeltaan vaihteleviksi. Tutkimus tehtiin ensin tutkimalla sekundääristä informaatiota markkinoilta ja täydentämällä sitä haastatteluista saadulla kvalitatiivisella primääri informaatiolla ja case yrityksen sisäisellä analyysillä. Painopiste tutkimuksessa oli selvittää yritysten ulkoistamiseen ja logistiikkakumppanin valintaan vaikuttavia kriteereitä. Logistiikkaintegraattorille suurimmat mahdollisuudet löytyvät elektroniikka/ telekommunikaatiosektorilta. Logistiikka tällä sektorilla on vaativaa ja yrityksillä ei ole resursseja hallita sitä itse. Terveydenhuolto/ lääkesektorilla yrityksillä on yleensä muut keinot jakeluketjun hallintaan ja ne eivät tarvitse logistiikkaintegraattorin palveluita.

Use of scenario analysis in studying emerging technology – Case Grid computing

Tutkimuksen selvitettiin miten skenaarioanalyysia voidaan käyttää uuden teknologian tutkimisessa. Työssä havaittiin, että skenaarioanalyysin soveltuvuuteen vaikuttaa eniten teknologisen muutoksen taso ja saatavilla olevan tiedon luonne. Skenaariomenetelmä soveltuu hyvin uusien teknologioiden tutkimukseen erityisesti radikaalien innovaatioiden kohdalla. Syynä tähän on niihin liittyvä suuri epävarmuus, kompleksisuus ja vallitsevan paradigman muuttuminen, joiden takia useat muut tulevaisuuden tutkimuksen menetelmät eivät ole tilanteessa käyttökelpoisia. Työn empiirisessä osiossa tutkittiin hilaverkkoteknologian tulevaisuutta skenaarioanalyysin avulla. Hilaverkot nähtiin mahdollisena disruptiivisena teknologiana, joka radikaalina innovaationa saattaa muuttaa tietokonelaskennan nykyisestä tuotepohjaisesta laskentakapasiteetin ostamisesta palvelupohjaiseksi. Tällä olisi suuri vaikutus koko nykyiseen ICT-toimialaan erityisesti tarvelaskennan hyödyntämisen ansiosta. Tutkimus tarkasteli kehitystä vuoteen 2010 asti. Teorian ja olemassa olevan tiedon perusteella muodostettiin vahvaan asiantuntijatietouteen nojautuen neljä mahdollista ympäristöskenaariota hilaverkoille. Skenaarioista huomattiin, että teknologian kaupallinen menestys on vielä monen haasteen takana. Erityisesti luottamus ja lisäarvon synnyttäminen nousivat tärkeimmiksi hilaverkkojen tulevaisuutta ohjaaviksi tekijöiksi.