scholarly journals Designing police lineups to maximize memory performance

2019 ◽  
Author(s):  
Travis Morgan Seale-Carlisle ◽  
Stacy Ann Wetmore ◽  
Heather D Flowe ◽  
Laura Mickes
Keyword(s):  
Memory Performance ◽  
Value Added ◽  
Simultaneous Presentation ◽  
Diagnostic Value ◽  
Superior Performance ◽  
Sequential Presentation ◽  
The Us ◽  
Simultaneous Lineup ◽  
Lineup Procedures ◽  
Lineup Procedure

How can lineups be designed to elicit the best achievable memory performance? One step toward that goal is to compare lineup procedures. In a recent comparison of US and UK lineup procedures, discriminability and reliability was better when memory was tested using the US procedure. However, because there are so many differences between the procedures, it is unclear what explains this superior performance. The main goal of the current research is therefore to systematically isolate the differences between the US and UK lineups to determine their effects on discriminability and reliability. In five experiments, we compared (1) presentation format: simultaneous vs. sequential; (2) stimulus format: photos vs. videos; (3) number of views: 1-lap vs. 2-lap vs. choice in both video and photo lineups; and (4) lineup size: 6- versus 9-lineup members. Most of the comparisons did not show appreciable differences, but one comparison did: simultaneous presentation yielded better discriminability than sequential presentation. If the results replicate, then policymakers should recommend using a simultaneous lineup procedure. Moreover, consistent with previous research, identifications made with high confidence were higher in reliability than identifications made with low confidence. Thus, official lineup protocols should require collecting confidence because of the diagnostic value added.

Do Sequential Lineups Impair Discriminability?

2020 ◽  
Author(s):  
Matthew Philip Kaesler ◽  
John C Dunn ◽  
Keith Ransom ◽  
Carolyn Semmler
Keyword(s):  
Human Behavior ◽  
Feature Detection ◽  
Eyewitness Memory ◽  
Simultaneous Presentation ◽  
Diagnostic Feature ◽  
Sequential Presentation ◽  
Sequential Lineups ◽  
Measurement Models ◽  
Sequential Lineup ◽  
Lineup Procedures

The debate regarding the best way to test and measure eyewitness memory has dominated the eyewitness literature for more than thirty years. We argue that to resolve this debate requires the development and application of appropriate measurement models. In this study we develop models of simultaneous and sequential lineup presentations and use these to compare the procedures in terms of discriminability and response bias. We tested a key prediction of the diagnostic feature detection hypothesis that discriminability should be greater for simultaneous than sequential lineups. We fit the models to the corpus of studies originally described by Palmer and Brewer (2012, Law and Human Behavior, 36(3), 247-255) and to data from a new experiment. The results of both investigations showed that discriminability did not differ between the two procedures, while responses were more conservative for sequential presentation compared to simultaneous presentation. We conclude that the two procedures do not differ in the efficiency with which they allow eyewitness memory to be expressed. We discuss the implications of this for the diagnostic feature detection hypothesis and other sequential lineup procedures used in current jurisdictions.

scholarly journals Metacognitive Control and Lineup Instructions: Asking eyewitnesses to recollect reduces false identification

2018 ◽  
Author(s):  
Nicola Guerin ◽  
Nathan Weber ◽  
Ruth Horry
Keyword(s):  
Process Model ◽  
Eyewitness Identification ◽  
Dual Process ◽  
Identification Accuracy ◽  
Metacognitive Control ◽  
Decision Confidence ◽  
Delayed Choice ◽  
Simultaneous Lineup ◽  
Lineup Procedures ◽  
Lineup Procedure

Little theoretically-informed research investigates how non-traditional lineup tasks or metacognitive instructions might improve eyewitness identification accuracy. We used a continuous dual-process model of recognition to explain familiarity-based identification errors and develop a modified lineup procedure that increased discriminability. In four studies using a multiple lineup paradigm we compared identification performance between lineup procedures featuring differing decision types (standard simultaneous, delayed-choice, elimination) and instructions (standard, metacognitive). Metacognitive instructions about how to better evaluate memory quality improved discriminability in delayed-choice but not standard or elimination lineups. With modified simultaneous lineup procedures, metacognitive instructions could potentially enable participants to use recollection more effectively and increase accuracy even when memory is poor. While immediate post-decision confidence is a good predictor of identification accuracy, lineup modifications that improve eyewitness memory use could provide more diagnostic evidence of probable guilt across a wider range of decisions. We discuss implications for lineup theory and design.

scholarly journals Consolidated bioprocessing of lignocellulose for production of glucaric acid by an artificial microbial consortium

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Chaofeng Li ◽  
Xiaofeng Lin ◽  
Xing Ling ◽  
Shuo Li ◽  
Hao Fang
Keyword(s):  
Acid Production ◽  
Microbial Consortium ◽  
Consolidated Bioprocessing ◽  
High Titer ◽  
Value Added ◽  
Superior Performance ◽  
Glucaric Acid ◽  
Practical Applications ◽  
Work Distribution ◽  
Rut C30

Abstract Background The biomanufacturing of d-glucaric acid has attracted increasing interest because it is one of the top value-added chemicals produced from biomass. Saccharomyces cerevisiae is regarded as an excellent host for d-glucaric acid production. Results The opi1 gene was knocked out because of its negative regulation on myo-inositol synthesis, which is the limiting step of d-glucaric acid production by S. cerevisiae. We then constructed the biosynthesis pathway of d-glucaric acid in S. cerevisiae INVSc1 opi1Δ and obtained two engineered strains, LGA-1 and LGA-C, producing record-breaking titers of d-glucaric acid: 9.53 ± 0.46 g/L and 11.21 ± 0.63 g/L d-glucaric acid from 30 g/L glucose and 10.8 g/L myo-inositol in fed-batch fermentation mode, respectively. However, LGA-1 was preferable because of its genetic stability and its superior performance in practical applications. There have been no reports on d-glucaric acid production from lignocellulose. Therefore, the biorefinery processes, including separated hydrolysis and fermentation (SHF), simultaneous saccharification and fermentation (SSF) and consolidated bioprocessing (CBP) were investigated and compared. CBP using an artificial microbial consortium composed of Trichoderma reesei (T. reesei) Rut-C30 and S. cerevisiae LGA-1 was found to have relatively high d-glucaric acid titers and yields after 7 d of fermentation, 0.54 ± 0.12 g/L d-glucaric acid from 15 g/L Avicel and 0.45 ± 0.06 g/L d-glucaric acid from 15 g/L steam-exploded corn stover (SECS), respectively. In an attempt to design the microbial consortium for more efficient CBP, the team consisting of T. reesei Rut-C30 and S. cerevisiae LGA-1 was found to be the best, with excellent work distribution and collaboration. Conclusions Two engineered S. cerevisiae strains, LGA-1 and LGA-C, with high titers of d-glucaric acid were obtained. This indicated that S. cerevisiae INVSc1 is an excellent host for d-glucaric acid production. Lignocellulose is a preferable substrate over myo-inositol. SHF, SSF, and CBP were studied, and CBP using an artificial microbial consortium of T. reesei Rut-C30 and S. cerevisiae LGA-1 was found to be promising because of its relatively high titer and yield. T. reesei Rut-C30 and S. cerevisiae LGA-1were proven to be the best teammates for CBP. Further work should be done to improve the efficiency of this microbial consortium for d-glucaric acid production from lignocellulose.

scholarly journals Glucose Conversion into 5-Hydroxymethylfurfural over Niobium Oxides Supported on Natural Rubber-Derived Carbon/Silica Nanocomposite

Catalysts ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 887
Author(s):  
Rujeeluk Khumho ◽  
Satit Yousatit ◽  
Chawalit Ngamcharussrivichai
Keyword(s):  
Natural Rubber ◽  
Lewis Acid ◽  
Value Added ◽  
Acid Sites ◽  
Superior Performance ◽  
Lewis Acidity ◽  
Lewis Acid Sites ◽  
Niobium Oxides ◽  
Silica Nanocomposite ◽  
Loading Amount

5-Hydroxymethylfurfural (HMF) is one of the most important lignocellulosic biomass-derived platform molecules for production of renewable fuel additives, liquid hydrocarbon fuels, and value-added chemicals. The present work developed niobium oxides (Nb2O5) supported on mesoporous carbon/silica nanocomposite (MCS), as novel solid base catalyst for synthesis of HMF via one-pot glucose conversion in a biphasic solvent. The MCS material was prepared via carbonization using natural rubber dispersed in hexagonal mesoporous silica (HMS) as a precursor. The Nb2O5 supported on MCS (Nb/MCS) catalyst with an niobium (Nb) loading amount of 10 wt.% (10-Nb/MCS) was characterized by high dispersion, and so tiny crystallites of Nb2O5, on the MCS surface, good textural properties, and the presence of Bronsted and Lewis acid sites with weak-to-medium strength. By varying the Nb loading amount, the crystallite size of Nb2O5 and molar ratio of Bronsted/Lewis acidity could be tuned. When compared to the pure silica HMS-supported Nb catalyst, the Nb/MCS material showed a superior glucose conversion and HMF yield. The highest HMF yield of 57.5% was achieved at 93.2% glucose conversion when using 10-Nb/MCS as catalyst (5 wt.% loading with respect to the mass of glucose) at 190 °C for 1 h. Furthermore, 10-Nb/MCS had excellent catalytic stability, being reused in the reaction for five consecutive cycles during which both the glucose conversion and HMF yield were insignificantly changed. Its superior performance was ascribed to the suitable ratio of Brønsted/Lewis acid sites, and the hydrophobic properties generated from the carbon moieties dispersed in the MCS nanocomposite.

scholarly journals Demand and Defective Growth Patterns: The Role of The Tradable and Non-Tradable Sectors in an Open Economy

2014 ◽  
Vol 104 (5) ◽  
pp. 272-277 ◽  
Author(s):  
Sandile Hlatshwayo ◽  
Michael Spence
Keyword(s):  
Open Economy ◽  
Aggregate Demand ◽  
Value Added ◽  
Growth Patterns ◽  
Structural Elements ◽  
Total Income ◽  
Us Economy ◽  
The Us ◽  
Tradable Sector

This paper examines the underlying structural elements of US growth patterns, pre- and post-crisis. Prior to the recession, the US economy exhibited a defective growth pattern driven by outsized domestic demand. As domestic aggregate demand retreats to more sustainable levels relative to total income, the tradable side of the economy is a catalyst for restoring strong growth. A structural rebalancing is already underway; although it is only a third of the economy, the tradable sector generated more than half of gross gains in value-added since the start of the recovery. However, distributional issues loom on the horizon.

Linkage between Economic Value Added and Market Value: An Analysis

2000 ◽  
Vol 25 (3) ◽  
pp. 23-36 ◽  
Author(s):  
Ashok Banerjee
Keyword(s):  
New York ◽  
Economic Value ◽  
Value Added ◽  
Market Value ◽  
Shareholder Wealth ◽  
Indian Context ◽  
The Us ◽  
Generating Capacity ◽  
The Cost ◽  
Future Growth

Maximizing shareholder value has become the new corporate paradigm. Corporations in the US have started disclosing EVA information from the beginning of 90s as a measure of corporate performance. It is believed that market value of a firm (hence shareholder wealth) would increase with the increase in EVA. Various studies done in the US also confirm this belief. EVA (a term coined and registered by Stern Stewart & Co. New York) is a residual income that subtracts the cost of capital from the operating profits generated by a business. The present study makes an at tempt to find the relevance of Stewart's claim that market value of the firm is largely driven by its EVA generating capacity in the Indian context. Based on a sample of 200 firms over a period of five years, the study shows that market value of a firm can be well predicted by estimated future EVA streams. The study has also found that market value of most of the firms in the sample is explained more by current operational value than future growth value of firms.

Work climate, innovativeness, and firm performance in the US forest sector: in search of a conceptual framework

2008 ◽  
Vol 38 (7) ◽  
pp. 1703-1715 ◽  
Author(s):  
Pablo Crespell ◽  
Eric Hansen
Keyword(s):  
Firm Performance ◽  
Organizational Behavior ◽  
Structural Equation ◽  
Value Added ◽  
Forest Products ◽  
Work Climate ◽  
Wood Products ◽  
Equation Modeling ◽  
Forest Sector ◽  
The Us

Innovativeness can help companies differentiate themselves, with the ultimate goal of securing survival and improving performance. Modern theories in organizational behavior look at innovation as something that starts with individual creativity but that is also affected by the work environment. Using one broad industry sector, the US forest products industry, this study attempts to integrate into a unifying model the concepts of work climate, innovativeness, and firm performance using structural equation modeling. Results support the proposed theoretical model, with some modifications, finding a positive and significant relationship among all factors. Having innovation as a core part of a company’s strategy and fostering a climate for innovation positively affects the degree of innovativeness and performance of a company. This is especially true for secondary or value-added wood products manufacturers. A climate for innovation is characterized by high levels of autonomy and encouragement, team cohesion, openness to change and risk taking, and sufficient resources available to people. Lack of a validation sample suggests treating the model as tentative until further testing.

Essays in applied economics

2019 ◽  
Author(s):  
◽  
Rebecca L. Whitworth
Keyword(s):  
Panel Data ◽  
Overlapping Generations ◽  
Value Added ◽  
Bond Market ◽  
Applied Economics ◽  
Corporate Debt ◽  
Overlapping Generations Model ◽  
Fiat Money ◽  
The Us ◽  
Value Added Modeling

This dissertation examines several themes in applied economics. Specifically, Essay 1 examines the dynamics in an overlapping generations model with three-period lived agents, fiat money, and credit, Essay 2 reviews literature on value-added modeling and discusses a paper previously published, Essay 3 concludes by examining efficiency in the US bond market. While Essay 1 examines dynamics and 2 reviews tools used in estimating panel data, Essay 3 combines elements of both-empirically evaluating the efficiency of the bond market by looking at the movement of prices through time. That is, deriving the integral over t of the bond spread. While opportunities for more work exists, this paper suggests that the US Bond Market (the market for corporate debt) is informationally efficient, though it takes longer to converge than previously reported in the literature.

The Efficacy of ACH in Mitigating Serial Position Effects and Confirmation Bias in an Intelligence Analysis Scenario1

2020 ◽  
pp. 107-144
Author(s):  
Martha Whitesmith
Keyword(s):  
Serial Position ◽  
Cognitive Biases ◽  
Confirmation Bias ◽  
Scoring Systems ◽  
Diagnostic Value ◽  
Intelligence Community ◽  
Intelligence Analysis ◽  
Position Effects ◽  
Serial Position Effects ◽  
The Us

Chapter three provides details of an experimental study conducted in 2016 to provide an evaluation of the efficacy of ACH in mitigating the cognitive biases of serial position effects and confirmation bias using the scoring systems of credibility of information and diagnostic value of information. The study is based on a disguised version of the intelligence case for both the biological and nuclear weapons capabilities of Saddam Hussein’s regime that was used to support the US decision to invade Iraq in 2003. The study shows that the version of ACH taught by the PHIA to the UK’s intelligence community between 2016-2017 has no statistically significant mitigating effect on the occurrence of serial position effects or confirmation bias.

Factors That Can Interact with Familiarity

2019 ◽  
pp. 55-76
Author(s):  
Joanna Pozzulo
Keyword(s):  
Criminal Justice ◽  
Recognition Memory ◽  
Criminal Justice System ◽  
Eyewitness Confidence ◽  
Recall Memory ◽  
Unconscious Transference ◽  
Lineup Procedures ◽  
Lineup Identification ◽  
Lineup Procedure ◽  
System Variables

This chapter discusses system variables that are under the control of the criminal justice system and can be manipulated after the crime has occurred, such as the type of lineup procedure shown to the eyewitness. The chapter first discusses recall memory and the different interviewing protocols and how these may interact with familiarity to influence an eyewitness’ memory of the perpetrator as well as the environment and event. Next, the chapter focuses on recognition memory, specifically lineup identification. The different lineup procedures used to collect eyewitness evidence are discussed, in addition to how each procedure may promote higher rates of accuracy and eyewitness confidence when a familiar-stranger is the perpetrator. Last, the chapter discusses unconscious transference and the commitment effect.

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