188,177 research outputs found
Utility functions for central bankers: the not so drastic quadratic
No full textFollowing Blinder's (1997) suggestion, we examine the implications for the optimal interest rate rule following the relaxation of the assumption that the policymaker's loss function is quadratic. We investigate deviations from quadratics for both symmetric and asymmetric preferences for a single target and find that: (i) other characterisations of risk aversion, than that implied by the quadratic, only affect dead-weight losses, unless there is also muliplicative uncertainty; (ii) asymmetries affect the optimal rule under both additive and muliplicative uncertainty but result in interest rate paths observationally similar, and in some cases equivalent, those implied by a shifted quadratic; (iii) the use of an asymmetric los functions leads to important insights on the issues of goal independence and monetary policy delegation; (iv) non-quadratic preferences, per se , are neither sufficient nor necessary to generate the 'Brainard conservatism principle' and thus do not offer much added value when analysing the policy issues of caution and gradualism. Our results suggest that in the context of monetary policymaking the convenient assumption of quadratic losses may not be that drastic after all
Mass spectrometry strategies to understand treatment effects and heterogeneity in soft tissue sarcomas
No full textSoft Tissue sarcoma are rare and heterogenous mesenchymal malignancies. Optimal disease management in STS is surgical excision as the primary treatment modality. Despite negative surgical margins, ~50% of patients relapse. Neoadjuvant therapy (NAT) is given prior to surgery for locally advanced and/metastatic disease. However, its use as a standard treatment is contentious due to conflicting results from clinical trials. Additionally, there remains a limited understanding of the underlying biology governing NAT response and resistance. There is an urgent need for improved prognostication to identify patients who would derive substantial benefits from NAT, as well as the identification of predictive biomarkers for NAT response. Proteomic analysis of Sarculator-nomogram risk group, a prognostic tool, rationalized the effectiveness of anthracycline therapy in high-risk patients. This has translated into enhanced overall survival outcomes among high-risk patients, attributed to elevated levels of MCM proteins, integral components of the MCM complex responsible for initiating DNA replication prior to the G1 phase of the cell cycle. Notably, this study marks the first integration of proteomics data with the Sarculator nomogram to develop advanced prognostic tools. Furthermore, both transcriptomics and proteomics data identified the presence of two distinct molecular subtypes within synovial sarcoma (SS), each characterized by unique biological features. The analysis has also unveiled pathways associated with NAT response, including epithelial-mesenchymal transition, MYC targets, and heightened immune signalling. Moreover, through comparative analysis of transcriptomic and proteomic datasets, distinct prognostic biomarkers associated with each omics platform have been identified, emphasizing the valuable and distinct information contained within each dataset. By integrating these two datasets, a panel of 58 biomarkers (comprising 45 proteins and 13 genes) have been identified, effectively segregating NAT-treated SS samples from treatment-naïve samples. In summary, this project offers valuable insights into the biology underlying NAT and demonstrates the potential of integrating proteomic signatures with nomograms to create advanced prognostic tools for the future
A Hybrid Intuitionistic Logic: Semantics and Decidability
No full textAn intuitionistic, hybrid modal logic suitable for reasoning about distribution of resources was introduced by Jia and Walker. The modalities of the logic allow validation of properties in a particular place, in some place and in all places. We give a sound and complete Kripke semantics for the logic extended with disjunctive connectives. The extended logic can be seen as an instance of Hybrid IS5. We also give a sound and complete birelational semantics, and show that it enjoys the finite model property: if a judgement is not valid in the logic, then there is a finite birelational counter-model. Hence, we prove that the logic is decidable
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
G. K. Chadha, Employment, Earning & Poverty. A Study of Rural India and Indonesia (Indo-Dutch Studies on Development Alternatives)
No full textÉtienne Gilbert. G. K. Chadha, Employment, Earning & Poverty. A Study of Rural India and Indonesia (Indo-Dutch Studies on Development Alternatives). In: Tiers-Monde, tome 35, n°140, 1994. p. 951
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Model Checking Concurrent Programs with Nondeterminism and Randomization
No full textFor concurrent probabilistic programs having process-level nondeterminism, it is often necessary to restrict the class of schedulers that resolve nondeterminism to obtain sound and precise model checking algorithms. In this paper, we introduce two classes of schedulers called view consistent and locally Markovian schedulers and consider the model checking problem of concurrent, probabilistic programs under these alternate semantics. Specifically, given a B\"{u}chi automaton , a threshold in , and a concurrent program , the model checking problem asks if the measure of computations of that satisfy is at least , under all view consistent (or locally Markovian) schedulers. We give precise complexity results for the model checking problem (for different classes of B\"{u}chi automata specifications) and contrast it with the complexity under the standard semantics that considers all schedulers
- …
