Merging Local and Global 3D Perception for Robotic Grasping and Manipulation

This paper presents our results towards fusing RGB-D images with data from contact and proximity sensors embedded in a robotic hand for improved object perception, recognition and manipulation. Optical depth information from multiple sensors is often inaccurate and inconsistent. These problems arise from problems with sensor calibration, but also occlusion of objects by other objects or the robot arm itself. In this paper, we propose to combine global pose information from RGB-D sensing with local proximity sensing during approach. Here, we use contact information based on a novel contact sensor and additional pose information provided by the arm's pose

Evaluation of soil carbon simulation in CMIP6 Earth system models

The response of soil carbon represents one of the key uncertainties in future climate change. The ability of Earth system models (ESMs) to simulate present-day soil carbon is therefore vital for reliably estimating global carbon budgets required for Paris Agreement targets. In this study CMIP6 ESMs are evaluated against empirical datasets to assess the ability of each model to simulate soil carbon and related controls: net primary productivity (NPP) and soil carbon turnover time (τs). Comparing CMIP6 with the previous generation of models (CMIP5), a lack of consistency in modelled soil carbon remains, particularly the underestimation of northern high-latitude soil carbon stocks. There is a robust improvement in the simulation of NPP in CMIP6 compared with CMIP5; however, an unrealistically high correlation with soil carbon stocks remains, suggesting the potential for an overestimation of the long-term terrestrial carbon sink. Additionally, the same improvements are not seen in the simulation of τs. These results suggest that much of the uncertainty associated with modelled soil carbon stocks can be attributed to the simulation of below-ground processes, and greater emphasis is required on improving the representation of below-ground soil processes in future developments of models. These improvements would help to reduce the uncertainty in projected carbon release from global soils under climate change and to increase confidence in the carbon budgets associated with different levels of global warming.</p

Exploring Touch as a Positive Workplace Behavior

Whereas most research has focused on the negative aspects of touch in the workplace (i.e. sexual harassment), this study focuses upon the positive use of touch. In an effort to explain individual differences in the use of workplace touch, three sequential studies are used to introduce the concepts of workplace touch self-efficacy and workplace touch initiation anxiety. In Study 1 we develop scales to assess the constructs. Study 2 provides an initial examination of the construct validity of the measures developed in Study 1. Results of Study 3 indicate that supervisor reports of touch self-efficacy and physiological touch anxiety are related to subordinate reports of supervisor touch. Additionally, results show that supervisor use of touch is related to several indicators of supervisor social effectiveness. Finally, sex of the supervisor appears to play a role in workplace touch as female supervisors report less touch anxiety, greater touch self-efficacy and more use of touch than male supervisors

Age Differences in Driving-Specific Tests of Executive Function

The purpose of the present study was to examine age differences in executive function as measured by novel driving-specific tests of executive function using a novel driving simulator. Developmental changes in executive function have been implicated as possible contributing factors to elevated crash statistics for both older adult (over age 65) and adolescent (between age 15 and 20) populations, however for different reasons. Poorer older adult driving performance has been partially attributed to general age-related cognitive decline in executive function mediated by age-related frontal-lobe atrophy and neural disconnection. Immature executive function has been implicated in poorer adolescent driving performance and is thought to be expressed in situations where the developmentally high sensitivity of the socio-emotional reward system outcompetes the regulatory influence of the under developed executive system. Using a new, high fidelity, virtual reality driving simulator, we created drivingspecific tests to assess executive function. These operational tests employed driving-relevant stimuli, with driving-relevant challenges, that required drivingrelevant responses, in a driving-relevant context. Fifteen older adult and 20 adolescent drivers completed these driving-specific executive function tests. We hypothesized that poorer older adult driving performance would be reflected on these driving specific tests of executive function due to general cognitive decline and that, given the absence of social-emotional reward, adolescents would outperform older adults. Analyses of both bivariate correlations and group comparisons generally supported these predictions

Gold amides as anticancer drugs: synthesis and activity studies

Modular gold amide chemotherapeutics: Access to modern chemotherapeutics with robust and flexible synthetic routes that are amenable to extensive customisation is a key requirement in drug synthesis and discovery. A class of chiral gold amide complexes featuring amino acid derived ligands is reported herein. They all exhibit in vitro cytotoxicity against two slow growing breast cancer cell lines with limited toxicity towards normal epithelial cells

Racial and ethnic differences and COVID-19 pandemic-related changes in drug overdose deaths in North Carolina

Purpose To examine racial/ethnic differences and COVID-19 pandemic-related changes in key characteristics of drug overdose deaths in North Carolina. Methods We used North Carolina State Unintentional Drug Overdose Reporting System (NC-SUDORS) data to describe specific drug-involvement, bystander presence, and naloxone administration for drug overdose deaths by race/ethnicity during pre-COVID-19 (May 2019–February 2020) and COVID-19 periods (March 2020–December 2020). Results For all racial/ethnic groups, drug overdose death rates and the percentage with fentanyl and alcohol involvement increased from the pre-COVID-19 to COVID-19 period, with fentanyl involvement highest among American Indian/Alaska Native (82.2%) and Hispanic (81.4%) individuals and alcohol involvement highest among Hispanic individuals (41.2%) during the COVID-19 period. Cocaine involvement remained high among Black non-Hispanic individuals (60.2%) and increased among American Indian/Alaska Native individuals (50.6%). There was an increase in the percentage of deaths with a bystander present from the pre-COVID-19 to COVID-19 period for all racial/ethnic groups, with more than half having a bystander present during the COVID-19 period. There was a decrease in the percentage with naloxone administered for most racial/ethnic groups, with the lowest percentage among Black non-Hispanic individuals (22.7%). Conclusions Efforts to address increasing inequities in drug overdose deaths, including expanded community naloxone access, are needed

Assessing the cost of global biodiversity and conservation knowledge

Knowledge products comprise assessments of authoritative information supported by stan-dards, governance, quality control, data, tools, and capacity building mechanisms. Considerable resources are dedicated to developing and maintaining knowledge productsfor biodiversity conservation, and they are widely used to inform policy and advise decisionmakers and practitioners. However, the financial cost of delivering this information is largelyundocumented. We evaluated the costs and funding sources for developing and maintain-ing four global biodiversity and conservation knowledge products: The IUCN Red List ofThreatened Species, the IUCN Red List of Ecosystems, Protected Planet, and the WorldDatabase of Key Biodiversity Areas. These are secondary data sets, built on primary datacollected by extensive networks of expert contributors worldwide. We estimate that US$160million (range: US$116–204 million), plus 293 person-years of volunteer time (range: 278–308 person-years) valued at US$14 million (range US$12–16 million), were invested inthese four knowledge products between 1979 and 2013. More than half of this financingwas provided through philanthropy, and nearly three-quarters was spent on personnelcosts. The estimated annual cost of maintaining data and platforms for three of these knowl-edge products (excluding the IUCN Red List of Ecosystems for which annual costs were notpossible to estimate for 2013) is US$6.5 million in total (range: US$6.2–6.7 million). We esti-mated that an additional US$114 million will be needed to reach pre-defined baselines ofdata coverage for all the four knowledge products, and that once achieved, annual mainte-nance costs will be approximately US$12 million. These costs are much lower than those tomaintain many other, similarly important, global knowledge products. Ensuring that biodi-versity and conservation knowledge products are sufficiently up to date, comprehensiveand accurate is fundamental to inform decision-making for biodiversity conservation andsustainable development. Thus, the development and implementation of plans for sustain-able long-term financing for them is critical

Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010–2018

With the increasing pace of global warming, it is important to understand the role of meteorological factors in influenza virus (IV) epidemics. In this study, we investigated the impact of temperature, UV index, humidity, wind speed, atmospheric pressure, and precipitation on IV activity in Norway, Sweden, Finland, Estonia, Latvia and Lithuania during 2010–2018. Both correlation and machine learning analyses revealed that low temperature and UV indexes were the most predictive meteorological factors for IV epidemics in Northern Europe. Our in vitro experiments confirmed that low temperature and UV radiation preserved IV infectivity. Associations between these meteorological factors and IV activity could improve surveillance and promote development of accurate predictive models for future influenza outbreaks in the region

Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010–2018

With the increasing pace of global warming, it is important to understand the role of meteorological factors in influenza virus (IV) epidemics. In this study, we investigated the impact of temperature, UV index, humidity, wind speed, atmospheric pressure, and precipitation on IV activity in Norway, Sweden, Finland, Estonia, Latvia and Lithuania during 2010–2018. Both correlation and machine learning analyses revealed that low temperature and UV indexes were the most predictive meteorological factors for IV epidemics in Northern Europe. Our in vitro experiments confirmed that low temperature and UV radiation preserved IV infectivity. Associations between these meteorological factors and IV activity could improve surveillance and promote development of accurate predictive models for future influenza outbreaks in the region