Displays for telemanipulation

Visual displays drive the human operator's highest bandwidth sensory input channel. Thus, no telemanipulation system is adequate which does not make extensive use of visual displays. Although an important use of visual displays is the presentation of a televised image of the work scene, visual displays are examined for presentation of nonvisual information (forces and torques) for simulation and planning, and for management and control of the large numbers of subsystems which make up a modern telemanipulation system

First, Do No Harm: On Addressing the Problem of Implicit Bias in Juror Decision Making

Over the past three decades, court leaders across the country have taken aggressive steps to confront racial bias in the courts. Recent efforts include in-depth judicial education and training about how an individual’s unconscious attitudes (including culturally learned associations or generalizations that we tend to think of as stereotypes) introduce unjustified assumptions about other people and related evidence that can distort a person’s judgment and behavior. This phenomenon is now referred to as implicit bias to differentiate it from explicit or intentional bias. Judicial education programs focus on raising judicial awareness about implicit bias and introducing techniques that judges may use to help minimize the impact of implicit bias on judicial decision making. Despite high levels of interest and genuine commitment to racial fairness in the justice system, disparate treatment of racial minorities persists and pervades all stages of the criminal justice process. Jury trials are a particularly troubling component of the justice system with regard to the potential for racial bias. Courts have extremely limited opportunities to educate jurors about the pernicious effects of complex psychological phenomena like implicit bias and how these implicit forms of bias may distort jurors’ interpretation of trial evidence. Jurors are randomly selected from the local community. Other than statutory qualifications such as U.S. citizenship, age (adults 18 or older), and the ability to speak and understand English, state courts have no educational, occupational, or personal experience requirements to be eligible for jury service. Most jurors in this country serve only for the duration of the trial (typically two to three days) and then are released from service. No time is available during this short period to provide the type of in-depth education on implicit bias that judges and court staff may receive. Instead, judges and lawyers are increasingly looking to existing opportunities within the jury-selection and trial period (e.g., juror orientation, voir dire, jury instructions) in which to inform jurors about the propensity of implicit bias to affect decision making and to provide concrete strategies to minimize the impact of implicit bias on jury verdicts

Pupillometry, a bioengineering overview

The pupillary control system is examined using a microprocessor based integrative pupillometer. The real time software functions of the microprocessor include: data collection, stimulus generation and area to diameter conversion. Results of an analysis of linear and nonlinear phenomena are presented

How well do meteorological indicators represent agricultural and forest drought across Europe?

Drought monitoring and early warning (M&EW) systems are an important component of agriculture/silviculture drought risk assessment. Many operational information systems rely mostly on meteorological indicators, a few incorporate vegetation state information. However, the relationships between meteorological drought indicators and agricultural/silvicultural drought impacts vary across Europe. The details of this variability have not been elucidated sufficiently on a continental scale in Europe to inform drought risk management at administrative scales. The objective of this study is to fill this gap and evaluate how useful the variety of meteorological indicators are to assess agricultural/silvicultural drought across Europe. The first part of the analysis systematically linked meteorological drought indicators to remote sensing based vegetation indices (VIs) for Europe at NUTs3 administrative regions scale using correlation analysis for crops and forests. In a second step, a stepwise multiple linear regression model was deployed to identify variables explaining the spatial differences observed. Finally, corn crop yield in Germany was chosen as a case study to verify VIs representativeness of agricultural drought impacts. Results show that short accumulation periods of SPI and SPEI are best linked to crop vegetation stress in most cases, which further validates the use of SPI3 in existing operational drought monitors. However, large regional differences in correlations are also revealed. Climate (temperature and precipitation) explained the largest proportion of variance, suggesting that meteorological indices are less informative of agricultural/silvicultural drought in colder/wetter parts of Europe. These findings provide important context for interpreting meteorological indices on widely used national to continental M&EW systems, leading to a better understanding of where/when such M&EW tools can be indicative of likely agricultural stress and impacts

A quantitative analysis to objectively appraise drought indicators and model drought impacts

Drought monitoring and early warning is an important measure to enhance resilience towards drought. While there are numerous operational systems using different drought indicators, there is no consensus on which indicator best represents drought impact occurrence for any given sector. Furthermore, thresholds are widely applied in these indicators but, to date, little empirical evidence exists as to which indicator thresholds trigger impacts on society, the economy, and ecosystems. The main obstacle for evaluating commonly used drought indicators is a lack of information on drought impacts. Our aim was therefore to exploit text-based data from the European Drought Impact report Inventory (EDII) to identify indicators that are meaningful for region-, sector-, and season-specific impact occurrence, and to empirically determine indicator thresholds. In addition, we tested the predictability of impact occurrence based on the best-performing indicators. To achieve these aims we applied a correlation analysis and an ensemble regression tree approach, using Germany and the UK (the most data-rich countries in the EDII) as test beds. As candidate indicators we chose two meteorological indicators (Standardized Precipitation Index, SPI, and Standardized Precipitation Evaporation Index, SPEI) and two hydrological indicators (streamflow and groundwater level percentiles). The analysis revealed that accumulation periods of SPI and SPEI best linked to impact occurrence are longer for the UK compared with Germany, but there is variability within each country, among impact categories and, to some degree, seasons. The median of regression tree splitting values, which we regard as estimates of thresholds of impact occurrence, was around −1 for SPI and SPEI in the UK; distinct differences between northern/northeastern vs. southern/central regions were found for Germany. Predictions with the ensemble regression tree approach yielded reasonable results for regions with good impact data coverage. The predictions also provided insights into the EDII, in particular highlighting drought events where missing impact reports may reflect a lack of recording rather than true absence of impacts. Overall, the presented quantitative framework proved to be a useful tool for evaluating drought indicators, and to model impact occurrence. In summary, this study demonstrates the information gain for drought monitoring and early warning through impact data collection and analysis. It highlights the important role that quantitative analysis with impact data can have in providing "ground truth" for drought indicators, alongside more traditional stakeholder-led approaches

Temperature dependent photoluminescence in oxygen ion implanted and rapid thermally annealed ZnO/ZnMgO multiple quantum wells

The authors investigate the effect of oxygen implantation and rapid thermal annealing in ZnO∕ZnMgOmultiple quantum wells using photoluminescence. A blueshift in the photoluminescence is observed in the implanted samples. For a low implantation dose, a significant increase of activation energy and a slight increase of the photoluminescence efficiency are observed. This is attributed to the suppression of the point defect complexes and transformation between defect structures by implantation and subsequent rapid thermal annealing. A high dose of implantation leads to lattice damage and agglomeration of defects leading to large defect clusters, which result to an increase in nonradiative recombination.The authors gratefully acknowledge the Australian Research Council for financial support and Swinburne University of Technology for Strategic Initiative funding. One of the authors X.W. acknowledges partial financial support of the Chinese National Natural Science Foundation 10364004 and the Yunnan Natural Science Foundation 2003E0013M

Reproductive pattern of parous women and the risk of cancer in later life

Funding Information: Funding: This research was funded by the NHS Grampian Endowment Funds, project number 09/30. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Peer reviewedPublisher PD

Drought: Understanding and reducing vulnerability through monitoring and early warning systems. Report of the DrIVER workshop, 17 March 2015.

As part of the Belmont Forum funded international DRIVER research project on linking indicators to impacts to improve drought monitoring and early warning systems (MEWs), a stakeholder workshop was held on 17th March 2015 in Wallingford, UK. The workshop was attended by representatives of various UK organisations with an interest in drought and MEWs and DRIVER researchers from the Centre for Ecology and Hydrology (UK), Open University (UK), University of Freiburg (Germany), National Drought Mitigation Center (USA) and CSIRO (Australia). The aims of the workshop were to introduce participants to the DRIVER project and recent RCUK drought projects; engage with stakeholders’ experiences, understandings and needs in relation to droughts; and identify needs for future MEWs. The design of the workshop was based on a commitment to social learning. It comprised a mix of presentations and interactive sessions using innovative techniques to develop collective insights, enabling participants to learn from others and contribute their experiences and ideas and concerns in relation to drought and MEWs. Themes emerging findings from the workshop were wide-ranging, but point to a range of issues, concerns and suggestions for improving drought management and MEWs centred on: recognition of different types of drought; uncertainties and risks relating to indicators; forecasting; impacts; politics of drought; public communication; role of stakeholders; and resilience strategies. The workshop suggests different ways of thinking and acting are required about drought and MEWs in particular. The discussions and presentations also suggest the complexity of droughts requires a more systemic understanding of drought policy, processes and practices in order to determine the role of MEWs and how these can be improved by linking indicators to impacts. The output of the workshop constitute a key source for informing and shaping ongoing DRIVER research activities and other events convened by RCUK drought research projects