105 research outputs found

    Business performance analytics: exploring the potential for performance management systems

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    Business Performance Analytics (BPA) entails the systematic use of data and analytical methods (mathematical, econometric and statistical) for performance measurement and management. Although potentially overcoming some traditional diagnostic issues related to Performance Management Systems (PMS), such as information overload, absence of cause-effect relationships, lack of a holistic view of the organisation, research in the field is still in its infancy. A comprehensive model for operationalising analytics for diagnostic and interactive PMS is still lacking. Adopting an action research approach, this paper addresses this gap and develops a five-step framework applied to a company operating in the construction industry. The results show that in addition to encouraging dialogue, BPA can contribute to identifying critical performance variables, potential sources of risk and related interdependencies. A number of critical issues in implementing data-based approaches are also highlighted, including data quality, organisational competences and cultural shifts

    Supplier's total cost of ownership evaluation: a data envelopment analysis approach

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    Supplier Total Cost of Ownership (TCO) is a widely-known approach for determining the overall cost generated by a supplier relationship, but its adoption is still limited. The complex calculations involved - and in particular the activity-based costing procedure for computing the cost of managing the relationship - pose a major obstacle to widespread TCO implementation. The purpose of this work is to formulate a Data Envelopment Analysis application (denoted 'TCO-based DEA') that can act as a proxy for TCO, and to test its ability to approximate the results of TCO with less effort. The study is based on the analysis of two categories of suppliers (74 in total) of a medium-sized Italian mechanical engineering company. The results show that TCO-based DEA is able to significantly approximate the outcomes of TCO, for both the efficiency indexes and rankings of suppliers, whilst requiring substantially less effort to perform the analysis. To our knowledge, this is the first study to develop a DEA-based tool for approximating TCO and to test it in a real-world setting. The research shows significant potential within the supply chain management field. In particular, TCO-based DEA can be used for analysing suppliers' performance, rationalising and reducing the supplier base, assisting the negotiation process

    Gene expression profile predicts response to the combination of tosedostat and low-dose cytarabine in elderly AML

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    Tosedostat is an orally administered metalloenzyme inhibitor with antiproliferative and antiangiogenic activity against hematological and solid human cancers. Clinical activity has been demonstrated in relapsed acute myeloid leukemia (AML). Thirty-three elderly patients with AML (median age, 75 years) received 120 mg tosedostat orally once daily combined with subcutaneous low-dose cytarabine (20 mg twice per day for 10 days, up to 8 cycles), until disease progression. Induction mortality was 12%. According to an intention-to-treat analysis, the complete remission (CR) rate was 48.5%, and thus the primary end point of the study was reached (expected CR, 25%). The partial remission rate was 6.1%, with an overall response rate of 54.5%. Furthermore, 4 of 33 patients had stable disease (median: 286 days). The median progression-free survival and overall survival (OS) were 203 days and 222 days, respectively. Responding patients had a longer median OS than nonresponding patients (P = .001). A microarray analysis performed in 29 of 33 patients identified 188 genes associated with clinical response (CR vs no CR). Three of them (CD93, GORASP1, CXCL16) were validated by quantitative polymerase chain reaction, which correctly classified 83% of the patients. Specifically, CR achievement was efficiently predicted by the gene expression patterns, with an overall accuracy exceeding 90%. Finally, a negative predictive value of 100% was validated in an independent series, thus representing the first molecular predictor for clinical response to a specific combination drug treatment for AML. This trial has been registered at the European Medicines Agency and on the European Clinical Trials Database (https://www.clinicaltrialsregister.eu) as #2012-000334-19

    EEG-informed fMRI analysis during a hand grip task: estimating the relationship between EEG rhythms and the BOLD signal.

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    In the last decade, an increasing interest has arisen in investigating the relationship between the electrophysiological and hemodynamic measurements of brain activity, such as EEG and (BOLD) fMRI. In particular, changes in BOLD have been shown to be associated with changes in the spectral profile of neural activity, rather than with absolute power. Concurrently, recent findings showed that different EEG rhythms are independently related to changes in the BOLD signal: therefore, it would be also important to distinguish between the contributions of the different EEG rhythms to BOLD fluctuations when modeling the relationship between the two signals. Here we propose a method to perform EEG-informed fMRI analysis where the changes in the spectral profile are modeled, and, at the same time, the distinction between rhythms is preserved. We compared our model with two other frequency-dependent regressors modeling using simultaneous EEG-fMRI data from healthy subjects performing a motor task. Our results showed that the proposed method better captures the correlations between BOLD signal and EEG rhythms modulations, identifying task-related, well localized activated volumes. Furthermore, we showed that including among the regressors also EEG rhythms not primarily involved in the task enhances the performance of the analysis, even when only correlations with BOLD signal and specific EEG rhythms are explore

    SNPs Array Karyotyping Reveals a Novel Recurrent 20p13 Amplification in Primary Myelofibrosis

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    The molecular pathogenesis of primary mielofibrosis (PMF) is still largely unknown. Recently, single-nucleotide polymorphism arrays (SNP-A) allowed for genome-wide profiling of copy-number alterations and acquired uniparental disomy (aUPD) at high-resolution. In this study we analyzed 20 PMF patients using the Genome-Wide Human SNP Array 6.0 in order to identify novel recurrent genomic abnormalities. We observed a complex karyotype in all cases, detecting all the previously reported lesions (del(5q), del(20q), del(13q), +8, aUPD at 9p24 and abnormalities on chromosome 1). In addition, we identified several novel cryptic lesions. In particular, we found a recurrent alteration involving cytoband 20p13 in 55% of patients. We defined a minimal affected region (MAR), an amplification of 9,911 base-pair (bp) overlapping the SIRPB1 gene locus. Noteworthy, by extending the analysis to the adjacent areas, the cytoband was overall affected in 95% of cases. Remarkably, these results were confirmed by real-time PCR and validated in silico in a large independent series of myeloproliferative diseases. Finally, by immunohistochemistry we found that SIRPB1 was over-expressed in the bone marrow of PMF patients carrying 20p13 amplification. In conclusion, we identified a novel highly recurrent genomic lesion in PMF patients, which definitely warrant further functional and clinical characterization

    Health-related quality of life in patients with chronic myeloid leukemia receiving first-line therapy with nilotinib

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    BACKGROUND: Although a wealth of efficacy and safety data is available for many tyrosine kinase inhibitors used in chronic myeloid leukemia (CML), there is a dearth of information on their impact on patients' health-related quality of life (HRQOL). The primary objective of this study was to evaluate HRQOL and fatigue outcomes in patients with CML receiving first-line therapy with nilotinib. METHODS: This was a multicenter, prospective study enrolling 130 patients with chronic-phase CML. HRQOL and fatigue were evaluated with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) and its validated Fatigue module at the baseline and then at 3, 6, 12, 18, and 24 months. The primary prespecified HRQOL endpoints defined in the study protocol for longitudinal analysis were the Physical Functioning, Social Functioning, Role Functioning, and Fatigue scales. The remaining scales were investigated on an exploratory basis. RESULTS: The rate of baseline compliance with the HRQOL assessment was 95.4% (124 of 130), and the rate of overall compliance with HRQOL forms was 91%. Among the 4 prespecified primary HRQOL endpoints, statistically significant improvements over time were found for Physical Functioning (P =.013), Role Functioning (P =.004), and Fatigue (P <.001). Clinically meaningful improvements were found already 3 months after the treatment start. The baseline patient self-reported fatigue severity was an independent predictive factor for the achievement of a major molecular response with an odds ratio of 0.960 (95% confidence interval, 0.934-0.988; P =.005). CONCLUSIONS: For most patients, HRQOL improvements with nilotinib occur during the early phase of therapy and are maintained over time. Also, a more systematic HRQOL evaluation during the diagnostic workup of CML may help to predict clinical outcomes. Cancer 2018;124:2228-37. © 2018 American Cancer Society

    Clinical characteristics and risk factors associated with COVID-19 severity in patients with haematological malignancies in Italy: a retrospective, multicentre, cohort study

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    Several small studies on patients with COVID-19 and haematological malignancies are available showing a high mortality in this population. The Italian Hematology Alliance on COVID-19 aimed to collect data from adult patients with haematological malignancies who required hospitalisation for COVID-19

    La mappatura dei costi di processo per sviluppare valore ed eliminare gli sprechi

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    none2L'articolo approfondisce con l'applicazione a specifici case studies aziendali l'utilizzo del process cost mapping, strumento di management accounting finalizzato all'analisi economica dei processi aziendali. L'articolo evidenzia, tramite la risultanza dei case studies, come lo strumento possa fornire rilevanti informazioni manageriali dirette allo sviluppo dell'efficienza e all'eliminazione degli sprechi aziendali, pur essendo concettualmente semplice e di agevole comunicazione. Vengono però evidenziati specifici punti di criticità connessi all'applicazione della tecnica in oggetto che ne possono pesantemente condizionare efficacia e validità informativa.noneF. Visani; A. RaffoniF. Visani; A. Raffon
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