AN ANALYTICAL FRAMEWORK FOR OPTIMIZING DESIGN AND SELECTION OF NONVOCAL COMMUNICATION TECHNIQUES

Abstract Abstract 3127 Background: Traditionally, the appropriate selection of diagnostic tests is determined solely by the ordering clinician. This can be quite challenging in the case of hematological malignancies, where guidelines require detailed correlation between molecular, morphologic and immunologic results for accurate classification. We have undertaken a study to determine the impact of including a hematopathologist in the initial test selection and case management. Our working hypothesis is that this should improve the timeliness and accuracy of diagnoses. Therefore, an analytical framework based on measuring patient outcomes and resource utilization is feasible to compare diagnostic workflows. We compared outcomes and resource utilization between cohorts of patients in which diagnosis was obtained using the traditional or hematopathologist supplemented workflows. Two studies were performed: the first utilized a smaller regional electronic health record (EHR) database from a Southeast US practice, affording a higher degree of practice and demographics uniformity, the second utilized a more heterogeneous national US claims database. Patients were matched by ultimate diagnosis and demographics and all studies were retrospective. Methods: In the first regional cohort, we studied 791 patients collected between 2007 and 2009 and required a minimum of one year of data post bone marrow biopsy to be available. The patients had a diagnostic evaluation by a hematopathologist-managed workflow (Test, n=640) or by laboratories that follow a traditional diagnostic workflow (Control, n=151). Patients were matched by gender, age, ethnicity, ECOG status and diagnosis. Outcomes were assessed as overall survival and transfusion dependence. Resource utilization (lab tests and supportive therapeutics) was also evaluated. As a sensitivity analysis, outcomes of 19, 416 patients from the national cohort were evaluated using patients collected between 2006 and 2008. These patients had a diagnostic evaluation by a hematopathologist-managed workflow (Test, n=3, 236) or by laboratories that follow a traditional diagnostic workflow (Control, n=16, 180). Patients were matched by gender, age, ethnicity, geography, payer type, Charlson co-morbidities and diagnosis. Results: Overall survival benefit for the regional EHR-based study was not observed beyond statistical significance (p=0.564, HR=0.530; 95%CI=0.233–1.205) although a strong trend favoring the Test cohort could be observed. In the national study, where claims data over one year was available for a greater proportion of patients, improved overall survival (p=0.050, HR=0.634; 95%CI=0.402–1.001) for Test cohort patients could be discerned. Test cohort patients exhibited improved transfusion dependence (p=0.009; HR=0.455, 95% CI=0.252–0.824) in the regional study, but this effect was not observed in the national study set (p=0.644; HR=0.959, 95% CI=0.803–1.145). Resource utilization was assessed in the regional study and Test cohort patients appear associated with significantly reduced resource utilization: lab tests (p<0.0001), ancillary procedures (p<0.0001), therapeutics (p<0.0001) and erythropoietin stimulating agents (p<0.0001). Conclusions: We present an analytical framework by which the impact on patient outcomes can be evaluated as a function of adding a hematopathologist in the selection of diagnostic tests and case management. Our initial results using EHR records from a multi-site single practice, and claims data from a national database, suggest that differences in outcomes and resource utilization can be discerned as a function of diagnostic workflow. Though we have done our best to reduce the possibility of distortion by confounding variables and unidentified bias, we hope that this study will provide the impetus for further replication across multiple cohorts, labs and prospective trials in the future. Disclosures: Leite: Genoptix-Novartis: Employment. Sur:Genoptix-Novartis: Consultancy. Dabbas:Genoptix-Novartis: Employment. Gilmore:Georgia Cancer Specialists: Employment. Haislip:Georgia Cancer Specialists: Employment. Nerenberg:Genoptix-Novartis: Employment.

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ANÁLISE DAS POLÍTICAS DE APOIO A ARRANJOS PRODUTIVOS LOCAIS NOS ESTADOS DO CENTRO-SUL DO BRASIL

Revista Políticas Públicas ◽

10.18764/2178-2865.v17n1p15-26 ◽

2014 ◽

Vol 17 (1) ◽

pp. 15

Author(s):

Ana Lúcia Tatsch ◽

Marisa Dos Reis A. Botelho

Keyword(s):

Key Words ◽

Central Government ◽

Analytical Framework ◽

State Policies ◽

Government Policies ◽

Central Brazil ◽

South Central ◽

Policy Objectives ◽

Central South ◽

Selection Of

Entre o final dos anos 1990 e o início dos anos 2000, a partir de caminhos próprios ou sob influência das políticas em nível federal, os estados brasileiros dão início às suas políticas de apoio à APLs. A análise de como estas políticas foram implementadas nos estados do Centro-Sul do Brasil é o objetivo principal deste artigo que, analisa, também, os critérios norteadores da seleção dos arranjos focalizados pelas políticas, assim como o escopo, institucionalidade e instrumentos mobilizados para levar a cabo o apoio aos APLs. Ressalta que as principais tipologias para os APLs, cujo foco são os objetivos de política, constituem-se em referencial analítico para avaliar como vem se desenvolvendo o processo de implementação dessas políticas em alguns estados brasileiros. A avaliação empreendida neste trabalho traz, como conclusão principal, uma significativa diversidade nas políticas estaduais de apoio à APLs.Palavras-chave: Arranjos produtivos locais, políticas públicas.ANALYSIS OF SUPPORT LOCAL ARRANGEMENTS PRODUCTIVE POLICIES ON CENTRAL-SOUTH STATES IN BRAZILAbstract: Between the late 1990s and early 2000s, from their own paths or under the influence of central government policies, the Brazilian states initiate their policies to support clusters. The analysis of how these policies were implemented in the states of South-Central Brazil is the main purpose of this paper which also analyzes the guiding criteria of the selection of focused clusters by the policies, as well as the scope, institutionalities and deployed instruments to carry out the support for clusters. The main typologies of clusters, whose focus is on policy objectives, constitute the analytical framework to assess how the policies to support clusters have been developed in some Brazilian states. The assessment undertaken in this work underscores, as main conclusion, a significant diversity in state policies to support clusters. Key words: clusters, public policies

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Walmart’s communication techniques for sustaining stakeholder trust: How CEOs answer critics and reassure stakeholders in their annual and CSR report letters

Studies in Communication Sciences ◽

10.24434/j.scoms.2020.01.008 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Catherine Resche

Keyword(s):

Symbolic Capital ◽

Careful Selection ◽

Communication Techniques ◽

Counter Narrative ◽

Sustainability Reports ◽

New Vision ◽

Selection Of

Based on a corpus of Walmart CEOs’ letters introducing the annual and sustainability reports from 2005 to 2016, this paper investigates the company’s communication techniques to limit loss of social and symbolic capital in order to bolster up morale and retain or attract investors in a period of repeated crises and attacks from a number of critics. Analysis of the corpus evidences a careful selection of the themes addressed year after year, the rule being for CEOs to choose when to react, and what to leave out. Answers to critics remain subtle and indirect, and the resources of rhetoric are fully exploited through metadiscourse and counter narrative to insist on the company’s strengths, celebrate its heroes and to highlight its enduring values. Renewal discourse is meant to offer a new vision for the company and reassure investors and other stakeholders.

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Adaptive data-driven selection of sequences of biological and cognitive markers in clinical diagnosis of dementia

10.1101/2021.10.26.21265515 ◽

2021 ◽

Author(s):

Patric Wyss ◽

David Ginsbourger ◽

Haochang Shou ◽

Christos Davatzikos ◽

Stefan Klöppel ◽

...

Keyword(s):

Analytical Framework ◽

Classification Model ◽

Data Driven ◽

Alternative Methods ◽

Sequential Algorithm ◽

Time Interval ◽

Sequential Decision ◽

Diagnosis Of Dementia ◽

Cost Parameters ◽

Selection Of

Combining the right--potentially invasive and expensive, markers at the appropriate time is critical to obtain reliable yet economically sustainable decisions in the preclinical diagnosis of dementia. We propose a data-driven analytical framework to individualize the selection of prognostic biomarkers that balance accuracy, costs of opportunity due to delaying the decision, and cost of acquisition depending to prescribed cost parameters. We compared sequential and non-sequential decision strategies based on a linear mixed-effects classification model that integrates irregular, multi-variate longitudinal data. The framework was applied to separate participants that progress to Alzheimer's disease from the ones that do not within a time interval of three years. As expected, the highest accuracy was obtained by combining all available data from 20.9 measurements per subject on average that were acquired over 4.8 years on average. The proposed sequential algorithm empirically outperformed alternative methods by having lowest costs for a range of tested cost parameters. With the default cost parameters, the sequential algorithm reached an accuracy of 0.84, specificity of 0.86, and sensitivity of 0.82 (0.89, 0.91, and 0.88 with all available data, respectively) while requiring only 2.9 measurements on average (86 percent less observations than all available data) and a time interval of half a year on average (89 percent shorter than all time points). Our sequential algorithms established the decision based on individualized sequences of measurements with reduced process costs compared to non-sequential classification strategies while maintaining competitive accuracy.

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Analytical framework for optimized feature extraction for upgrading occupancy sensing performance

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i4.pp4093-4100 ◽

2020 ◽

Vol 10 (4) ◽

pp. 4093

Author(s):

Preethi Krishna Rao Mane ◽

K. Narasimha Rao

Keyword(s):

Machine Learning ◽

Energy Management ◽

Doppler Radar ◽

Analytical Framework ◽

Learning Approaches ◽

Analytical Methodology ◽

Efficient Selection ◽

Accuracy Performance ◽

Selection Of ◽

Sensing Performance

The adoption of the occupancy sensors has become an inevitable in commercial and non-commercial security devices, owing to their proficiency in the energy management. It has been found that the usages of conventional sensors is shrouded with operational problems, hence the use of the Doppler radar offers better mitigation of such problems. However, the usage of Doppler radar towards occupancy sensing in existing system is found to be very much in infancy stage. Moreover, the performance of monitoring using Doppler radar is yet to be improved more. Therefore, this paper introduces a simplified framework for enriching the event sensing performance by efficient selection of minimal robust attributes using Doppler radar. Adoption of analytical methodology has been carried out to find that different machine learning approaches could be further used for improving the accuracy performance for the feature that has been extracted in the proposed system of occuancy system.

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Power and Tactics in Bargaining

ILR Review ◽

10.1177/001979398103400204 ◽

1981 ◽

Vol 34 (2) ◽

pp. 219-233 ◽

Cited By ~ 31

Author(s):

Samuel B. Bacharach ◽

Edward J. Lawler

Keyword(s):

Analytical Framework ◽

The Other ◽

Conflict Avoidance ◽

Power Dependence ◽

Simulation Experiments ◽

Four Dimensions ◽

Dependence Theory ◽

Different Dimensions ◽

Primary Basis ◽

Selection Of

This paper develops and tests an analytical framework for analyzing the selection of tactics in bargaining. Using a variant of power-dependence theory, the authors propose that bargainers will use different dimensions of dependence, such as the availability of alternative outcomes from other sources and the value of the outcomes at stake, to select among different tactics. To test this model, the authors conducted two simulation experiments that portrayed an employee-employer conflict over a pay raise, manipulating four dimensions of dependence: employee's outcome alternatives, employee's outcome value, employer's outcome alternatives, and employer's outcome value. Within this context, respondents estimated the likelihood of each actor (employee, employer) adopting four tactics: self-enhancement, coalition, threat to leave, and conflict avoidance. The results of one experiment show that an actor's own dependence, rather than his opponent's dependence on him, is the primary basis for his evaluation and selection of tactics, and also that decisions regarding different tactics are determined by different dimensions of dependence. The results of the other experiment indicate that the opponent's initial tactic affects the links between dimensions of dependence and an actor's tactics, and the dimensions of dependence affect the propensity toward “tactic matching.”

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Frank Knight and the cognitive diversity of entrepreneurship

Journal of Institutional Economics ◽

10.1017/s1744137421000321 ◽

2021 ◽

pp. 1-18

Author(s):

Malte F. Dold ◽

Mario J. Rizzo

Keyword(s):

Theory Of The Firm ◽

Analytical Framework ◽

Venture Capitalists ◽

Cognitive Diversity ◽

Modern Idea ◽

Risk Uncertainty ◽

Additional Value ◽

Selection Of

Abstract In Risk, Uncertainty and Profit (RUP), Knight (1921) develops a theory of the firm that stresses the important role of entrepreneurial judgment for a firm's success. For Knight, entrepreneurial judgment is first and foremost the selection of ‘proxy entrepreneurs’ who are capable of making good judgments under uncertainty. In this sense, entrepreneurial judgment is essentially ‘judgment of judgment’. An overlooked implication of Knight's position is the fact that it leads to an endorsement of distributed entrepreneurship and responsibility. We deem this a very modern idea that challenges a completely hierarchical understanding of the firm. Knight himself does not thoroughly examine the institutional implications of the analytical framework he sets up in RUP. In this paper, we summarize the ‘philosophical vision’ of Knight's framework and illustrate his rationale behind the distribution of entrepreneurship. We conclude the paper with a discussion of potential institutional implications by referring to the danger of monocultures, the additional value created by cognitively diverse teams, and the effectiveness of venture capitalists.

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Right-Wing Populist Party Organisation Across Europe: The Survival of the Mass-Party? Introduction to the Thematic Issue

Politics and Governance ◽

10.17645/pag.v9i4.5002 ◽

2021 ◽

Vol 9 (4) ◽

pp. 224-227 ◽

Cited By ~ 6

Author(s):

Daniele Albertazzi ◽

Stijn Van Kessel

Keyword(s):

Analytical Framework ◽

Thematic Issue ◽

Right Wing ◽

Party Organisation ◽

Research Questions ◽

Organisational Model ◽

Selection Of ◽

Populist Party

This thematic issue assesses the organisational forms of a broad range of right-wing populist parties (RWPPs) across Europe (12 in total). It interrogates received wisdom about the supposed leader-centeredness of such parties and investigates, in particular, the extent to which the mass party, as an organisational model, remains popular among RWPPs. This introduction presents the aims, research questions, and analytical framework of the issue and justifies its selection of cases. The resilience of the mass party model highlighted in many articles challenges the dominant trend that party organisation literature has identified: a unidirectional shift towards “catch-all,” “electoral-professional,” or “cartel” organisations.

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