Recently, the phenomenon of social acceleration, which has profound impacts on everyday life, has attracted some attention from social scientists. At the same time, an increased engagement with ...social practices that are related to slowing down has also been highlighted, thereby unveiling an inherent tension between fast and slow times in contemporary societies. However, little attention has been paid to how fast and slow times are spatially dispersed and rooted.
This study contributes to current discussions on the pace of life by considering the dynamics of speeding up and slowing down in the everyday life of residents in a neighborhood of an edge city and the role played by local resources in the performance of everyday life practices. We undertook our study in the Colinas do Cruzeiro neighborhood, in the municipality of Odivelas in the North of Lisbon’s metropolitan area, where we conducted 21 in-depth narrative interviews with residents with the purpose of understanding the spatiotemporal organization of their daily lives and the role of the neighborhood’s resources.
Our results identify four different timestyles among the interviewees, all of them fluctuating between fast and slow temporalities in different ways. Thereafter, we identify and describe the main practices of speeding up and slowing down in the interviewees’ everyday life and the local resources, which are mobilized in Colinas do Cruzeiro in order to perform these practices. We give some conclusions after a brief discussion of the results. Our main argument is that local resources play a vital role in an individual’s ability to speed up or slow down and therefore more attention must be paid as to how local resources can become temporal advantages.
The purpose of the study was to examine students’ motivational profile at the beginning of a College program and to test whether these profiles were associated with students’ achievement through ...their relations with behaviors adopted during the semester. A prospective design with two time points of data collection was conducted in first-year students enrolled in a French University. Motivations were assessed at the beginning of the semester (510 participants at Time 1), and study strategies and temporal resources devoted to academics at the end of it (301 participants at Time 2). Administrative records were used to check for persistence in the program and to assess achievement. Cluster analyses revealed five distinct profiles: additive; self-determined; moderate; low; non self-determined. Furthermore, motivational profile was linked to final grade through the partial mediation of the percentage of classes attended. As a whole, students with a self-determined profile demonstrated the best academic adjustment, whereas those with a low or non self-determined profile displayed the poorest outcomes.
Ship–infrastructure cooperation, i.e., infrastructure scheduling, is significant for optimizing the utilization of spatial-temporal resources of infrastructures and improving the efficiency and ...safety of waterborne transportation systems. This paper carries out a systematic review of the scheduling problems of the infrastructures in waterborne transportation systems, including locks, terminals, berths, and waterway intersections. The infrastructure scheduling problems are linked to the classical optimization problems, and a generalized infrastructure scheduling problem is formulated. For lock scheduling, the ship placement sub-problem aims at minimizing the number of lockages, which is a kind of classic 2D bin packing problem; the lockage scheduling sub-problem deals with chamber assignment and lockage operation planning, which is modeled as a single or parallel machine scheduling problem. For berth and terminal scheduling, the idea of queuing theory (for discrete terminal) and 2D bin packing (for continuous terminal) are usually applied. Most research aims at minimizing the waiting time of ships and focuses on the continuous dynamic terminal scheduling problems. As a special infrastructure, the waterway intersection receives little attention. Most research focuses on traffic conflicts and capacity problems. Future research directions are provided based on the review results and problems of infrastructure scheduling in practice.
Variation in dietary specialisation stems from fundamental interactions between species and their environment. Consequently, understanding the drivers of this variation is key to understanding ...ecological and evolutionary processes. Dietary specialisation in wild bees has received attention due to their close mutualistic dependence on plants, and because both groups are threatened by biodiversity loss. Many principles governing pollinator specialisation have been identified, but they remain largely unvalidated. Organismal phenology has the potential to structure realised specialisation by determining concurrent resource availability and pollinator foraging activity. We evaluate this principle using mechanistic models of adaptive foraging in pollinators within plant–pollinator networks. While temporal resource overlap has little impact on specialisation in pollinators with extended flight periods, reduced overlap increases specialisation as pollinator flight periods decrease. These results are corroborated empirically using pollen load data taken from bees with shorter and longer flight periods across environments with high and low temporal resource overlap.
Understanding the drivers of organisms’ dietary specialisation is a fundamental question in ecology. Here we investigate the temporal aspects influencing specialisation in wild bees using complimentary theoretical and empirical approaches. Results indicate that the degree of temporal overlap among different resource options can drive dietary specialisation in bees via the length of their foraging periods.
Time is a fundamental component of ecological processes. How animal behavior changes over time has been explored through well-known ecological theories like niche partitioning and predator-prey ...dynamics. Yet, changes in animal behavior within the shorter 24-hr light-dark cycle have largely gone unstudied. Understanding if an animal can adjust their temporal activity to mitigate or adapt to environmental change has become a recent topic of discussion and is important for effective wildlife management and conservation. While spatial habitat is a fundamental consideration in wildlife management and conservation, temporal habitat is often ignored. We formulated a temporal resource selection model to quantify the diel behavior of 8 mammal species across 10 US cities. We found high variability in diel activity patterns within and among species and species-specific correlations between diel activity and human population density, impervious land cover, available greenspace, vegetation cover, and mean daily temperature. We also found that some species may modulate temporal behaviors to manage both natural and anthropogenic risks. Our results highlight the complexity with which temporal activity patterns interact with local environmental characteristics, and suggest that urban mammals may use time along the 24-hr cycle to reduce risk, adapt, and therefore persist, and in some cases thrive, in human-dominated ecosystems.
Spatio‐temporally stable prey distributions coupled with individual foraging site fidelity are predicted to favour individual resource specialisation. Conversely, predators coping with dynamic prey ...distributions should diversify their individual diet and/or shift foraging areas to increase net intake. We studied individual specialisation in Scopoli's shearwaters (Calonectris diomedea) from the highly dynamic Western Mediterranean, using daily prey distributions together with resource selection, site fidelity and trophic‐level analyses. As hypothesised, we found dietary diversification, low foraging site fidelity and almost no individual specialisation in resource selection. Crucially, shearwaters switched daily foraging tactics, selecting areas with contrasting prey of varying trophic levels. Overall, information use and plastic resource selection of individuals with reduced short‐term foraging site fidelity allow predators to overcome prey field lability. Our study is an essential step towards a better understanding of individual responses to enhanced environmental stochasticity driven by global changes, and of pathways favouring population persistence.
To maximize the cost-effectiveness of neural network (NN) accelerators, architects are actively developing single-chip accelerators which can execute many NNs simultaneously. However, previous ...approaches fail to achieve full performance potential by exploiting only spatial or temporal resource sharing (SS or TS). They also do not consider memory management that can significantly affect performance. This limitation leads to the dire need for a new multi-NN accelerator taking both opportunities with careful memory management. But, it is extremely challenging to design an ideal spatio-temporal sharing accelerator because it requires (1) an algorithm that determines the degree of SS/TS in large exploration spaces, (2) a new STS-enabled accelerator devised with diverse design points, and (3) carefully-designed memory management that minimizes resource contention during numerous data transfers upon reconfiguration. To this end, we propose STfusion, a fast and flexible multi-NN execution architecture. First, STfusion partitions an accelerator into multiple smaller TS-enabled accelerators. Second, STfusion dynamically fuses small accelerators to adjust the accelerator sizes. Third, STfusion manages on-chip buffer in a page-granularity for stall-free data transfers. Lastly, STfusion provides an algorithm that determines the degree of SS/TS to achieve high throughput while satisfying QoS goals. Our evaluation shows that STfusion significantly outperforms state-of-the-art multi-NN accelerators.
Patterns of bee abundance and diversity across different spatial scales have received thorough research consideration. However, the impact of short- and long-term temporal resource availability on ...biodiversity has been less explored. This is highly relevant in tropical agricultural systems for pollinators, as many foraging periods of pollinators extend beyond flowering of any single crop species. In this study, we sought to understand how bee communities in tropical agroecosystems changed between seasons, and if short- and long-term floral resource availability influenced their diversity and abundance. We used a threshold analysis approach in order to explore this relationship at two time scales. This study took place in a region dominated by coffee agroecosystems in Southern Mexico. This was an ideal system because the landscape offers a range of coffee management regimes that maintain heterogeneity in floral resource availability spatially and temporally. We found that the bee community varies significantly between seasons. There were higher abundances of native social, solitary and managed honey bees during the dry season when coffee flowers. Additionally, we found that floral resources from groundcover, but not trees, were associated with bee abundance. Further, the temporal scale of the availability of these resources is important, whereby short-term floral resource availability appears particularly important in maintaining high bee abundance at sites with lower seasonal complementarity. We argue that in addition to spatial resource heterogeneity, temporal resource heterogeneity is critical in explaining bee community patterns, and should thus be considered to promote pollinator conservation.
The Hierarchical Real-Time Scheduling (HiRTS) technique helps improve overall resource utilization in real-time embedded systems. With HiRTS, a computation resource is divided into a group of ...temporal resource partitions, each of which accommodates multiple real-time tasks. Besides the computation resource partitioning problem, real-time task scheduling on resource partitions is also a major problem of HiRTS. The existing scheduling techniques for dedicated resources, like schedulability tests and utilization bounds, are unable to work without changes on temporal resource partitions in most cases. In this paper, we show how to achieve maximal transparency for task scheduling on Regular Partitions, a type of resource partition introduced by the Regularity-based Resource Partition (RRP) Model. We show that several classes of real-time scheduling problems on a regular partition can be transformed into equivalent problems on a dedicated single resource, such that comprehensive single-resource scheduling techniques provide optimal solutions. Furthermore, this transformation method could be applied to different types of real-time tasks such as periodic tasks, sporadic tasks and aperiodic tasks.
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