scholarly journals Disorder and the neural representation of complex odors: smelling in the real world

2017 ◽  
Author(s):  
Kamesh Krishnamurthy ◽  
Ann M. Hermundstad ◽  
Thierry Mora ◽  
Aleksandra M. Walczak ◽  
Vijay Balasubramanian

Animals smelling in the real world use a small number of receptors to sense a vast number of natural molecular mixtures, and proceed to learn arbitrary associations between odors and valences. Here, we propose a new interpretation of how the architecture of olfactory circuits is adapted to meet these immense complementary challenges. First, the diffuse binding of receptors to many molecules compresses a vast odor space into a tiny receptor space, while preserving similarity. Next, lateral interactions “densify” and decorrelate the response, enhancing robustness to noise. Finally, disordered projections from the periphery to the central brain reconfigure the densely packed information into a format suitable for flexible learning of associations and valences. We test our theory empirically using data from Drosophila. Our theory suggests that the neural processing of olfactory information differs from the other senses in its fundamental use of disorder.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4727-4727
Author(s):  
Rebekah B. Foster ◽  
Max Tromanhauser ◽  
Christopher Gayer ◽  
Patrick K. Gonzales ◽  
Kathleen Maignan ◽  
...  

Background International Myeloma Working Group (IMWG) consensus criteria for response in MM require reductions in both serum protein electrophoresis (SPEP) and 24-hour urine protein electrophoresis (UPEP) for patients without oligosecretory disease. Requiring both SPEP and UPEP results to assess response significantly limits evaluability in the real-world, given that 24-hour UPEP tests are not used often in routine clinical practice (Foster RB, et al. Blood. 2018;132(Suppl. 1):3536). We sought to determine if response events and response rates could be derived using data readily available in the EHR for patients with MM who received lenalidomide, bortezomib, and dexamethasone (RVD) therapy. Methods This retrospective cohort study used de-identified information from the nationwide Flatiron Health EHR-derived database; Institutional Review Board approval with a waiver of informed consent was obtained. The cohort included patients from oncology clinics across the U.S. with a confirmed MM diagnosis via chart review from 01/01/2011 to 06/30/2019. The cohort was limited to patients who received at least one line of therapy. Patients whose MM treatment start (captured through chart review) was > 30 days before start of activity in the database were excluded, as this may indicate missing therapy data. Patients were followed for response by either SPEP, UPEP, or serum free light chain (SFLC) lab tests. Patients were eligible if they had at least one measurable test (specimen type), consistent with IMWG criteria (SPEP ≥ 1 g/dL, 24-hour UPEP ≥ 200 mg, SFLC of any numeric value). Specimen type was determined using a hierarchy (SPEP > 24-hour UPEP > SFLC) when multiple test types were available. An initial baseline lab was assigned to each line of therapy: the highest lab value within 90 days of the start of the line of therapy, or the earliest lab within the line of therapy if there were only labs > 90 days after therapy start. Subsequent labs within the line were evaluated for a partial response (PR) or very good partial response or better (≥ VGPR) according to IMWG criteria based on percent change from baseline. Derived response rate (dRR) was defined as the proportion of patients who had at least one PR or better assessment during RVD therapy, among patients with a baseline lab value and a subsequent lab value during RVD ("assessable for response"). Results Out of 7,506 patients, 4,626 (61.6%) had at least one measurable SPEP test (n=4,257) or at least one measurable 24-hour UPEP test (n=788). Only 419 (9.1%) had at least one measurable test for both parameters. Patients who received first-line (1L) RVD and were assessable for response by SPEP or UPEP (n=1,379) had a dRR of 0.89. Among 1,196 patients with a response event tracked by SPEP during 1L RVD, only 102 (8.5%) had at least one of these events with a measurable 24-hour UPEP test conducted within 14 days. Those who received RVD in second-line and were assessable by SPEP or UPEP (n=222) had a dRR of 0.75. These response rates are generally consistent with results from the phase III SWOG S0777 trial investigating upfront RVD (overall response rate [ORR] 0.82) (Durie BGM, et al. Lancet. 2017;89(10068):519-527), and a phase II study of RVD in the relapsed/refractory setting (ORR 0.64) (Richardson PG, et al. Blood. 2014;123(10):1461-1469). Conclusions Strictly applying IMWG response criteria in routine practice settings may be challenging, as patients rarely have both SPEP and UPEP measured as part of routine clinical care. However, the results of this study suggest that response in real-world patients with MM can be effectively derived from the results of a single test type. Results from this single-specimen derivation are reasonably consistent with select published results across different lines of therapy. It should be noted that the real-world response rates reported are not confirmed by subsequent assessment and any formal comparison would have to account for differences in the patient characteristics between the real-world cohorts and those in clinical trials. Further studies may be warranted to investigate alternatives for defining CR in the real-world. Adherence to IMWG criteria in the real-world may be further limited by the requirement of a bone marrow biopsy for confirmation of complete response (CR), which may be performed less frequently than SPEP or UPEP lab tests. As such, discerning a VGPR from a CR may not be feasible with this real-world response approach. Disclosures Foster: Roche: Equity Ownership; Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership. Tromanhauser:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership; Roche: Equity Ownership. Gayer:Roche: Equity Ownership; Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership. Gonzales:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership; Roche: Equity Ownership. Maignan:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership; Roche: Equity Ownership. Opong:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Research Funding. Torres:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Equity Ownership; Roche: Equity Ownership. Carson:Flatiron Health, Inc., which is an independent subsidiary of the Roche Group: Employment, Research Funding; Roche: Equity Ownership.



Author(s):  
Peter K Dunn ◽  
Margaret F Marshman

AbstractMathematics teachers are often keen to find ways of connecting mathematics with the real world. One way to do so is to teach mathematical modelling using real data. Mathematical models have two components: a model structure and parameters within that structure. Real data can be used in one of two ways for each component: (a) to validate what theory or context suggests or (b) to estimate from the data. It is crucial to understand the following: the implications of using data in these different ways, the differences between them, the implications for teaching and how this can influence students’ perceptions of the real-world relevance of mathematics. Inappropriately validating or estimating with data may unintentionally promote poor practice and (paradoxically) reinforce in students the incorrect idea that mathematics has no relevance to the real world. We recommend that teachers approach mathematical modelling through mathematizing the context. We suggest a framework to support teachers’ choice of modelling activities and demonstrate these using examples.



1970 ◽  
Vol 1 (2) ◽  
Author(s):  
Paul R Messinger ◽  
Xin Ge ◽  
Eleni Stroulia ◽  
Kelly Lyons ◽  
Kristen Smirnov ◽  
...  

What is the relationship between avatars and the people they represent in terms of appearance and behavior? In this paper, we hypothesize that people (balancing motives of self-verification and self-enhancement) customize the image of their avatars to bear similarity to their real selves, but with moderate enhancements. We also hypothesize that virtual-world behavior (due to deindividuation in computer-mediated communication environments) is less restrained by normal inhibitions than real-world behavior. Lastly, we hypothesize that people with more attractive avatars than their real selves will be somewhat more confident and extraverted in virtual worlds than they are in the real world. We examine these issues using data collected from Second Life residents using an in-world intercept method that involved recruiting respondents’ avatars from a representative sample of locations. Our quantitative data indicate that, on average, people report making their avatars similar to themselves, but somewhat more attractive. And, compared to real-world behavior, respondents indicate that their virtual-world behavior is more outgoing and risk-taking and less thoughtful/more superficial. Finally, people with avatars more attractive than their real selves state that they are more outgoing, extraverted, risk-taking, and loud than their real selves (particularly if they reported being relatively low on these traits in the real world). Qualitative data from open-ended questions corroborate our hypotheses.



Author(s):  
M. R. Sundara Kumar ◽  
S. Sankar ◽  
Vinay Kumar Nassa ◽  
Digvijay Pandey ◽  
Binay Kumar Pandey ◽  
...  

In this digital world, a set of information about the real-world entities is collected and stored in a common place for extraction. When the information generated has no meaning, it will convert into meaningful information with a set of rules. Those data have to be converted from one form to another form based on the attributes where it was generated. Storing these data with huge volume in one place and retrieving from the repository reveals complications. To overcome the problem of extraction, a set of rules and algorithms was framed by the standards and researchers. Mining the data from the repository by certain principles is called data mining. It has a lot of algorithms and rules for extraction from the data warehouses. But when the data is stored under a common structure on the repository, the values derived from that huge volume are complicated. Computing statistical data using data mining provides the exact information about the real-world applications like population, weather report, and probability of occurrences.



2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.



2006 ◽  
Vol 40 (7) ◽  
pp. 47
Author(s):  
LEE SAVIO BEERS
Keyword(s):  




Sign in / Sign up

Export Citation Format

Share Document