Resource Tracking Research Articles

The effects of colour complexity and similarity on multiple object tracking performance.

Surface features can be used during multiple object tracking (MOT). Previous studies suggested that surface features might be stored in visual working memory to assist object tracking, and attentive tracking and visual working memory share common attentional resources. However, it is still unknown whether features of both the target and distractor sets will be stored, or features of the target and distractor sets are processed differently. Moreover, how feature distinctiveness and similarity between the target and distractor sets affect tracking and allocation of attentional resources are still not clear. First, we manipulated the colour complexity of the target set (CT) and the colour complexity of the distractor set (CD), respectively, in two experiments, where colours of the target and distractor sets were always distinct, to test their effects on tracking performance. If features of the target and distractor sets are stored, manipulating feature complexity of the target and distractor sets would significantly affect tracking performance. Second, this study tested whether tracking performance was affected by different levels of distinctiveness between the target and distractor sets (DTD) and explored how distinctiveness affected tracking and allocation of attentional resources. Results showed that DTD and CT significantly affect tracking performance and allocation of attentional resources, but not CD. These results indicated that when targets and distractors have distinct features, only the surface features of the targets are maintained in visual working memory. And when targets have the same colour with the distractors, they are more difficult and consume more attentional resources to track.

Reports of Conferences, Institutes and Seminars

This quarter’s column offers several reports from the Electronic Resources & Libraries Conference held in Austin, Texas, on March 4–7, as well as coverage of sessions from the American Library Association Annual Conference, which took place in New Orleans, Louisiana, June 21–26. A handful of reports were also collected from the Library Publishing Forum in Minneapolis, Minnesota, on May 21–23; Ex Libris Users in North America (ELUNA) in Spokane, Washington, on May 1–4; Acquisitions Institute at Timberline Lodge in Oregon on May 19–21, and finally the NASIG conference in Atlanta, Georgia, on June 8–11. Topics covered include electronic resource tracking, trials, and troubleshooting; equity and diversity in acquisitions; technical services workflows; systems migrations; and library publishing pedagogy and open access.

Balancing exploitation of renewable resources by a robot swarm

Renewable resources like fish stock or forests should be exploited at a rate that supports regeneration and sustainability—a complex problem that requires adaptive approaches to maintain a sufficiently high exploitation while avoiding depletion. In the presence of oblivious agents that cannot keep track of all available resources—a frequent condition in swarm robotics—ensuring that the exploitation effort is correctly balanced is particularly challenging. Additionally, the possibility to exploit resources by multiple robots opens the way to focusing the effort either on a single or on multiple resources in parallel. This means that the swarm needs to collectively decide whether to remain cohesive or split among multiple resources, as a function of the ability of the available resources to replenish after exploitation. In this paper, we propose a decentralised strategy for a swarm of robots that adapts to the available resources and balances the effort among them, hence allowing to maximise the exploitation rate while avoiding to completely deplete the resources. A detailed analysis of the strategy parameters provides insights into the working principles and expected performance of the robot swarm.

English

English

How Do Countries Use Resource Tracking Data to Inform Policy Change: Shining Light into the Black Box

—Resource tracking exercises produce data that can be used to inform decisions about health policy issues such as mobilizing resources, pooling resources to minimize risk, and allocating resources for health. However, the factors that help countries evolve from merely producing resource tracking data to using it for decision making have been hard to specify. Countries often produce data that remain unused, and key health policy decisions are made without using available data. We develop a framework highlighting the factors that contribute to the use of resource tracking data for more informed policy decisions. Analyzing experience across 16 countries, we identify (1) characteristics of and actions taken by local country resource tracking teams that facilitated data use and (2) circumstances that were outside of teams' control but also influenced data use. We find that (1) clear definition of policy questions, (2) production of high-quality data, and (3) effective dissemination of resource tracking results are observed in countries that have successfully used resource tracking data in making tangible policy changes.

Highly dynamic wintering strategies in migratory geese: Coping with environmental change.

When and where to move is a fundamental decision to migratory birds, and the fitness‐related costs and benefits of migratory choices make them subject to strong selective forces. Site use and migration routes are outcomes of opportunities in the surrounding landscape, and the optimal migration strategy may be conservative or explorative depending on the variability in the environment occupied by the species. This study applies 25 years of resighting data to examine development in winter migration strategy of pink‐footed geese divided among Denmark, the Netherlands and Belgium, and analyse potential drivers of strategy change as well as individuals’ likelihood to break with migratory tradition. Contrary with the general notion that geese are highly traditional in their winter site use, our results reveal that winter migration strategy is highly dynamic in this species, with an average annual probability of changing strategy of 54%. Strategy was not related to hunting pressure or winter temperature, but could be partly explained by a tracking of food resources in a landscape of rapid land use changes. The probability of individuals changing strategy from year to year varied considerably between birds, and was partly related to sex and age, with young males being the most likely to change. The annual probability of changing wintering strategy increased substantially from ≈40% to ≈60% during the study period, indicating an increasingly explorative behaviour. Our findings demonstrate that individual winter strategies are very flexible and able to change over time, suggesting that phenotypic plasticity and cultural transmission are important drivers of strategy choice in this species. Growing benefits from exploratory behaviours, including the ability to track rapid land use changes, may ultimately result in increased resilience to global change.

Two-Dimensional Visual Tracking in Construction Scenarios: A Comparative Study

AbstractThe tracking of construction resources (e.g., workforce and equipment) in videos, i.e., two-dimensional (2D) visual tracking, has gained significant interest in construction industries. Man...

A survey of the "two children" policy on the impact of classIIhospitals of a city′s nursing human resources

Objective To investigate the status of the full liberalization of the two childrenpolicy of nursing human resources base on ClassⅡHospitals, and provide advice of nursing human resources on basic hospital management decisions. Methods Selected 24 Class Ⅱ hospitals in Xianning city for 2 years of nursing human resources tracking and monitoring. Results The proportion of actual beds and nurses was 1∶0.37. Nurses less than 45 years old account for the majority, reaching 89.7%(3 398/3 789). Comparing with 2016 (89 days) and 2015 (103 days), nurses took fewer vacations (14 days). In 2016, the nurse in charge of 12.1 beds, 212.35 times of nursing operation, 17.9 times of health education, 25.1 times of nursing documents, 5.7 times of calling, 42.4 times of the chores, in 2015, the nurse in charge of 6.8 times,156.21 times, 7.8 times, 15.3 times, 2.2 times, 21.5 times. Corresponding, in 2016 and 2015 was statistically significant the difference (χ2=4.126-14.866, all P<0.05). The turnover rate of nurses was 3 in 2015 and 51 in non-organization nurses in 2015, and 21 and 139 respectively in 2016 respectively. The difference was statistically significant (χ2=15.429, 3.921, all P<0.05). In 2015, the basic satisfaction degree was (3.76±0.19) points, and it was (3.06±0.12) points in 2016. The difference between 2016 and 2015 was statistically significant (χ2=4.236, P<0.01). Conclusions Due to the overall two children policy, and further improve the quality of nursing service of the hospital, the nurse workload increases, turnover increased and nursing occupation satisfaction decreased. The contradiction between the nursing human resources and the Class Ⅱ hospitals in grass-roots level is more prominent. Government and hospital care managers must take effective measures for their hospitals to respond positively respectively to the quality of care and safety of care in the context of inadequate human resources and to meet the growing needs of the people's health care. Key words: Nursing care; Human resources; Two children policy; Status

Reducing the Operative Resource Monitoring Mechanism Overhead in Cloud: An IaaS Perspective.

Today we are in the era of distributed system and cloud computing is the best example for the same. Resource management is an important issue in cloud computing, we need to keep track of the available resources in cloud, so that we can give services to user to fulfil their requirement. Which leads in helping to generate maximum revenue, lower power consumption, carbon emission and ultimately leads to green computing. So with the help of resource monitoring we can get the data about how, when, in what amount of resources for a particular cloud and the user. With effective resource monitoring, by minimizing some monitoring units we can reduce the cost of monitoring in terms of computation and power consumption. Our main objective is to reduce the monitoring technique, so that the amount of computation and power consumption can be saved which will lead to smart and green computing. In this research paper we are discussing about the algorithm that will reduce the activation period of the monitoring and also we had discussed the Hidden Markov Model (HMM) for the decision making in monitoring aspect.

Phenological shifts conserve thermal niches in North American birds and reshape expectations for climate-driven range shifts

Species respond to climate change in two dominant ways: range shifts in latitude or elevation and phenological shifts of life-history events. Range shifts are widely viewed as the principal mechanism for thermal niche tracking, and phenological shifts in birds and other consumers are widely understood as the principal mechanism for tracking temporal peaks in biotic resources. However, phenological and range shifts each present simultaneous opportunities for temperature and resource tracking, although the possible role for phenological shifts in thermal niche tracking has been widely overlooked. Using a canonical dataset of Californian bird surveys and a detectability-based approach for quantifying phenological signal, we show that Californian bird communities advanced their breeding phenology by 5-12 d over the last century. This phenological shift might track shifting resource peaks, but it also reduces average temperatures during nesting by over 1 °C, approximately the same magnitude that average temperatures have warmed over the same period. We further show that early-summer temperature anomalies are correlated with nest success in a continental-scale database of bird nests, suggesting avian thermal niches might be broadly limited by temperatures during nesting. These findings outline an adaptation surface where geographic range and breeding phenology respond jointly to constraints imposed by temperature and resource phenology. By stabilizing temperatures during nesting, phenological shifts might mitigate the need for range shifts. Global change ecology will benefit from further exploring phenological adjustment as a potential mechanism for thermal niche tracking and vice versa.

The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally

Although the number of autism diagnoses is on the rise, we have no evidence-based tracking of size and severity of gaps in access to autism-related resources, nor do we have methods to geographically triangulate the locations of the widest gaps in either the US or elsewhere across the globe. To combat these related issues of (1) mapping diagnosed cases of autism and (2) quantifying gaps in access to key intervention services, we have constructed a crowd-based mobile platform called “GapMap” (http://gapmap.stanford.edu) for real-time tracking of autism prevalence and autism-related resources that can be accessed from any mobile device with cellular or wireless connectivity. Now in beta, our aim is for this Android/iOS compatible mobile tool to simultaneously crowd-enroll the massive and growing community of families with autism to capture geographic, diagnostic, and resource usage information while automatically computing prevalence at granular geographical scales to yield a more complete and dynamic understanding of autism resource epidemiology.

Resource tracking and its conservation implications for an obligate frugivore (Procnias tricarunculatus, the three‐wattled bellbird)

AbstractIn Monteverde, Costa Rica, the vulnerable Three‐wattled Bellbird (Procnias tricarunculatus) feeds primarily upon the fruit of Lauraceae species during its reproductive and post‐reproductive seasons. To understand and advance appropriate conservation measures, this study identified the bellbird's foraging challenges in its search for a temporally and spatially fluctuating resource. Although there are at least 96 species of Lauraceae found in the five life zones of Monteverde, the distinct distributions of tree species both among and within life zones require the bellbirds to track seasonal fruiting across the various zones. In this 6‐year study, we monitored the fruiting of tree species and bellbird abundance in 24 study plots within its post‐reproductive life zone, the Premontane Wet forest, to identify preferred bellbird food resources and how the fruiting of these species drives the spatial distribution of the bellbird. Our research revealed phenological patterns of annual, biennial, and triennial fruiting with high levels of fruiting synchrony within several identified key fruit species. Of critical conservation importance is that no single species of Lauraceae produced a consistent food supply for bellbirds each year. Therefore, even within life zones, the bellbird's survival depends on its mobility to search for and obtain fruit, as well as the availability of fruits of multiple tree species. The conservation implications include focused attention on multiple core areas within given life zones, protection of existing forest and remnant trees, and forest restoration with plantings of multiple tree species. We suspect that other tropical frugivorous species face similar conservation challenges.

Adjusting health spending for the presence of comorbidities: an application to United States national inpatient data

BackgroundOne of the major challenges in estimating health care spending spent on each cause of illness is allocating spending for a health care event to a single cause of illness in the presence of comorbidities. Comorbidities, the secondary diagnoses, are common across many causes of illness and often correlate with worse health outcomes and more expensive health care. In this study, we propose a method for measuring the average spending for each cause of illness with and without comorbidities.MethodsOur strategy for measuring cause of illness-specific spending and adjusting for the presence of comorbidities uses a regression-based framework to estimate excess spending due to comorbidities. We consider multiple causes simultaneously, allowing causes of illness to appear as either a primary diagnosis or a comorbidity. Our adjustment method distributes excess spending away from primary diagnoses (outflows), exaggerated due to the presence of comorbidities, and allocates that spending towards causes of illness that appear as comorbidities (inflows). We apply this framework for spending adjustment to the National Inpatient Survey data in the United States for years 1996-2012 to generate comorbidity-adjusted health care spending estimates for 154 causes of illness by age and sex.ResultsThe primary diagnoses with the greatest number of comorbidities in the NIS dataset were acute renal failure, septicemia, and endocarditis. Hypertension, diabetes, and ischemic heart disease were the most common comorbidities across all age groups. After adjusting for comorbidities, chronic kidney diseases, atrial fibrillation and flutter, and chronic obstructive pulmonary disease increased by 74.1%, 40.9%, and 21.0%, respectively, while pancreatitis, lower respiratory infections, and septicemia decreased by 21.3%, 17.2%, and 16.0%. For many diseases, comorbidity adjustments had varying effects on spending for different age groups.ConclusionsOur methodology takes a unified approach to account for excess spending caused by the presence of comorbidities. Adjusting for comorbidities provides a substantially altered, more accurate estimate of the spending attributed to specific cause of illness. Making these adjustments supports improved resource tracking, accountability, and planning for future resource allocation.

Connecting Resource Tracking by Frugivores to Temporal Variation in Seed Dispersal Networks

Mutualistic interactions between species are crucial for the maintenance and functioning of the community. Current research has shown the importance of not only understanding the structure of these mutualistic interaction networks but also their temporal dynamics. Temporal changes in species abundance, such as those caused by vertebrate resource tracking, may create temporal variability in a network though neighborhood effects and influence the directedness of dispersal. While much research has been done on resource tracking, neighborhood effects, and directed dispersal individually, little research has been done into their interrelationships and, therefore, theory of how resource tracking can influence frugivory and seed dispersal networks remains poorly developed. We use the available literature to show the prevalence of resource tracking by vertebrate frugivores and hypothesize how, through neighborhood effects, resource tracking may influence short-term variation in network properties. We then discuss how resource tracking can influence long-term network properties by altering the dispersal of plant species. Lastly, we use this information to hypothesize how the introductions of new species into a community may alter the influence of resource tracking on frugivory and seed dispersal. While trait matching and links that are not possible between species in a community (i.e., forbidden links) play a large role in determining the structure of a network, temporal change in the abundance of species due to resource tracking may also affect the properties of networks. By increasing our understanding of the role resource tracking has in the temporal variability of frugivory and seed dispersal networks, we can better determine the full extent of species interactions and provide valuable information for the conservation of ecological communities.

Coevolutionary arms race versus host defense chase in a tropical herbivore–plant system

Coevolutionary models suggest that herbivores drive diversification and community composition in plants. For herbivores, many questions remain regarding how plant defenses shape host choice and community structure. We addressed these questions using the tree genus Inga and its lepidopteran herbivores in the Amazon. We constructed phylogenies for both plants and insects and quantified host associations and plant defenses. We found that similarity in herbivore assemblages between Inga species was correlated with similarity in defenses. There was no correlation with phylogeny, a result consistent with our observations that the expression of defenses in Inga is independent of phylogeny. Furthermore, host defensive traits explained 40% of herbivore community similarity. Analyses at finer taxonomic scales showed that different lepidopteran clades select hosts based on different defenses, suggesting taxon-specific histories of herbivore-host plant interactions. Finally, we compared the phylogeny and defenses of Inga to phylogenies for the major lepidopteran clades. We found that closely related herbivores fed on Inga with similar defenses rather than on closely related plants. Together, these results suggest that plant defenses might be more evolutionarily labile than the herbivore traits related to host association. Hence, there is an apparent asymmetry in the evolutionary interactions between Inga and its herbivores. Although plants may evolve under selection by herbivores, we hypothesize that herbivores may not show coevolutionary adaptations, but instead "chase" hosts based on the herbivore's own traits at the time that they encounter a new host, a pattern more consistent with resource tracking than with the arms race model of coevolution.

An Inspection Tool and Process to Identify Modifiable Aspects of Acute Care Hospital Patient Care Units to Prevent Work-Related Musculoskeletal Disorders.

A dearth of practical resources is available for evaluating ergonomic risk factors in dynamic health care work environments. Of particular need are tools for inspecting patient care environments for hazards. The goal of this study was to describe the development and application of an inspection tool and a process for identifying hazards inherent in the modifiable aspects of the physical environment to reduce injury risk to hospital workers. Through an iterative and participatory process, the tool and inspection process were developed with three purposes in mind: (a) create a framework for the inspection of physical work environments and physical conditions of work associated with injury risk (hazards), (b) document the physical conditions, and (c) provide feedback to decision makers. The tool and process were used by an ergonomics researcher on four patient care units as part of the Be Well, Work Well Total Worker Health® intervention. The resulting inspection process provided a structured method for recognizing hazards in the dynamic modifiable physical work environment and reporting both observations and recommendations to decision makers. The development and implementation of the inspection tool provided guidance to modify the physical work environment by implementing ergonomic solutions. The tool allowed the organization to plan and prioritize ergonomic hazard abatement (e.g. resource allocation and tracking trends). Within a Total Worker Health® framework, this tool can measure work practices which can then be used to inform organizational programs and policies within a health care setting.

Airline flight schedule planning under competition

This paper presents a modeling framework for airline flight schedule planning under competition. The framework generates an operational flight timetable that maximizes the airline's revenue, while ensuring efficient utilization of the airline's resources (e.g. aircraft and crew). It explicitly considers passenger demand shift due to the network-level competition with other airlines. It also considers minimizing the needless ground time of the resources. The problem is formulated in the form of a bi-level mathematical program where the upper level represents the airline scheduling decisions, while the lower level captures passenger responses in terms of itinerary choices. A solution methodology is developed which integrates a meta- heuristic search algorithm, a network competition analysis model, and a resource (e.g. aircraft and crew) tracking model. The performance of the framework is evaluated through several experiments to develop the schedule for a major U.S. airline. The results demonstrate the success of the framework to develop a competitive schedule with efficient resources.

Cost Centers from Hospital Units. Study Case

Abstract Current status of the hospital units is worrying: insufficient funding, increasing the number of cases considered / treated, providing quality services at public hospital unit. In this research we have undergone an empirical research carried out in the hospital units of category III and IV, from Alba County, this sample selection aims to identify an optimal solution to exercise management control which should serve to management decisionmaking. Responsibility centers, at the level of hospital unit, establish the liability for each segment of expenditure, expenditure tracking and proper grounding even their places of training, delimitation expenditure which does not strictly dependent on the production activities that are related strictly by the process; establishing the deviations of preset expenses levels; establishing a system of rules allowing highlighting the responsibilities of each performer, introducing a system of resource allocation and tracking of the use of their by developing specific cost budget for each responsibility center. The disadvantages of decentralization based on activity centers consists in increase the consumption of resources in certain activities, unclear delimitation of cause-effect relationships that create difficulties in adopting the relevant decisions by management, etc.

TheeCompetitiveness offCentral anddEastern European (CEE) Financial Markets

Although there has been vivid academic debate as to what extent Sovereign Wealth Funds (SWFs) are motivated by political reasons, it is rather clear that countries can use state-owned investment funds as a tool of their foreign policy. Even Barack Obama, during his initial presidential campaign in 2008 commented: “I am obviously concerned if these… sovereign wealth funds are motivated by more than just market consideration and that’s obviously a possibility”. This book looks at SWF activities in Central and Eastern Europe (CEE) to determine the main motives for SWF presence in CEE. Are the potential financial gains the only reason behind their investments? Are SWF activities in the region dangerous for the stability and security of the CEE countries? The book is pioneering analyses of SWFs behaviour in the region, based on empirical data collected from the Sovereign Wealth Fund Institute Transaction Database, arguably the most comprehensive and authoritative resource tracking SWF investment behaviour globally.

The Recent Investment Activity of Global Sovereign Wealth Funds

Although there has been vivid academic debate as to what extent Sovereign Wealth Funds (SWFs) are motivated by political reasons, it is rather clear that countries can use state-owned investment funds as a tool of their foreign policy. Even Barack Obama, during his initial presidential campaign in 2008 commented: “I am obviously concerned if these… sovereign wealth funds are motivated by more than just market consideration and that’s obviously a possibility”. This book looks at SWF activities in Central and Eastern Europe (CEE) to determine the main motives for SWF presence in CEE. Are the potential financial gains the only reason behind their investments? Are SWF activities in the region dangerous for the stability and security of the CEE countries? The book is pioneering analyses of SWFs behaviour in the region, based on empirical data collected from the Sovereign Wealth Fund Institute Transaction Database, arguably the most comprehensive and authoritative resource tracking SWF investment behaviour globally.