Decoupling spatial and temporal processes for clinical analyzers

1995 ◽  
Vol 41 (9) ◽  
pp. 1398-1402
Author(s):  
J Mazza ◽  
M Huber ◽  
S Frye
Keyword(s):  
Number Theory ◽  
Design Problem ◽  
State Of The Art ◽  
Spatial Arrangement ◽  
Sample Volume ◽  
Complex Task ◽  
Clinical Testing ◽  
Time And Space ◽  
Physical Processing ◽  
Temporal And Spatial

Abstract The separation of time and space in processing a sample greatly simplifies the design of automation for clinical testing. The efficient spatial arrangement of analytical units and sample manipulators has become a more complex task because of the degree of automation required on today's state-of-the-art analyzer. Minimization of sample volume and the reduction of overall analyzer size further complicate the design problem. We report the development of a proprietary method of decoupling the temporal and spatial elements required for analysis of samples. This process is based on number theory and can be used to optimize the distance between the physical processing stations while allowing these same stations to operate on samples over a substantial range of times. The technique is versatile and can also be used when it is desirable to sequentially move groups of items from location to location.

“By Degrees”

2020 ◽  
Vol 75 (3) ◽  
pp. 265-293
Author(s):  
Paul Giles
Keyword(s):  
Eighteenth Century ◽  
World Literature ◽  
Local Realism ◽  
Frames Of Reference ◽  
Geographical Distance ◽  
Historical Time ◽  
Time And Space ◽  
Mansfield Park ◽  
Initial Analysis ◽  
Temporal And Spatial

Paul Giles, “‘By Degrees’: Jane Austen’s Chronometric Style of World Literature” (pp. 265–293) This essay considers how Jane Austen’s work relates to “World Literature” by internalizing a chronometric style. Examining the emergence of the chronometer in the eighteenth century, it suggests how Austen drew on nautical frames of reference to combine disparate trajectories of local realism, geographical distance, and historical time. The essay thus argues that Austen’s fiction is interwoven with a reflexive mode of cartographic mapping, one that draws aesthetically on nautical instruments to remap time and space. This style involves charting various fluctuations of perspective that reorder history, memory, and genealogy, while also recalibrating Britain’s position in relation to the wider world. Moving on from an initial analysis of Austen’s juvenilia and early novels, the essay proceeds in its second part to discuss Mansfield Park (1814) in relation to Pacific exploration and trade. In its third part, it considers Emma (1815) in the context of comic distortions and the misreadings that arise from temporal and spatial compressions in the narrative, a form heightened by the novel’s reflexive wordplay. Hence the essay argues that Austen’s particular style of World Literature integrates chronometric cartography with domestic circumstances, an elusive idiom that also manifests itself in relation to the gender dynamics of Persuasion (1817) and the unfinished “Sanditon,” as discussed in the essay’s concluding pages. This is correlated finally with the way Austen’s novels are calibrated, either directly or indirectly, in relation to a global orbit.

scholarly journals In vivo interactome profiling by enzyme‐catalyzed proximity labeling

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yangfan Xu ◽  
Xianqun Fan ◽  
Yang Hu
Keyword(s):  
State Of The Art ◽  
Catalytic Efficiency ◽  
Biological Processes ◽  
Protein Protein Interaction ◽  
Current State ◽  
Protein Interactome ◽  
Potential Applications ◽  
Protein Protein Interaction Networks ◽  
Temporal And Spatial

AbstractEnzyme-catalyzed proximity labeling (PL) combined with mass spectrometry (MS) has emerged as a revolutionary approach to reveal the protein-protein interaction networks, dissect complex biological processes, and characterize the subcellular proteome in a more physiological setting than before. The enzymatic tags are being upgraded to improve temporal and spatial resolution and obtain faster catalytic dynamics and higher catalytic efficiency. In vivo application of PL integrated with other state of the art techniques has recently been adapted in live animals and plants, allowing questions to be addressed that were previously inaccessible. It is timely to summarize the current state of PL-dependent interactome studies and their potential applications. We will focus on in vivo uses of newer versions of PL and highlight critical considerations for successful in vivo PL experiments that will provide novel insights into the protein interactome in the context of human diseases.

Stand-Alone Containment Analysis of the PHÉBUS FPT-1 Test With the ASTEC and the MELCOR Codes

2016 ◽  
Author(s):  
Bruno Gonfiotti ◽  
Sandro Paci
Keyword(s):  
State Of The Art ◽  
External Environment ◽  
Fission Products ◽  
Severe Accident ◽  
Sensitivity Analyses ◽  
Complex Task ◽  
Primary Coolant ◽  
Control Volumes ◽  
Coolant System

The estimation of Fission Products (FPs) release from the containment system of a nuclear plant to the external environment during a Severe Accident (SA) is a quite complex task. In the last 30–40 years several efforts were made to understand and to investigate the different phenomena occurring in such a kind of accidents in the primary coolant system and in the containment. These researches moved along two tracks: understanding of involved phenomenologies through the execution of different experiments, and creation of numerical codes capable to simulate such phenomena. These codes are continuously developed to reflect the actual SA state-of-the-art, but it is necessary to continuously check that modifications and improvements are able to increase the quality of the obtained results. For this purpose, a continuous verification and validation work should be carried out. Therefore, the aim of the present work is to re-analyze the Phébus FPT-1 test employing the ASTEC (F) and MELCOR (USA) codes. The analysis focuses on the stand-alone containment aspects of the test, and three different modellisations of the containment vessel have been developed showing that at least 15/20 Control Volumes (CVs) are necessary for the spatial schematization to correctly predict thermal-hydraulics and the aerosol behavior. Furthermore, the paper summarizes the main thermal-hydraulic results, and presents different sensitivity analyses carried out on the aerosols and FPs behavior.

scholarly journals The residence time of water in the atmosphere revisited

2017 ◽  
Vol 21 (2) ◽  
pp. 779-790 ◽  
Author(s):  
Ruud J. van der Ent ◽  
Obbe A. Tuinenburg
Keyword(s):  
Residence Time ◽  
Hydrological Cycle ◽  
State Of The Art ◽  
Average Residence Time ◽  
Atmospheric Moisture ◽  
Atmospheric Water ◽  
Time And Space ◽  
Global Average ◽  
High Precipitation ◽  
Global Mean

Abstract. This paper revisits the knowledge on the residence time of water in the atmosphere. Based on state-of-the-art data of the hydrological cycle we derive a global average residence time of 8.9 ± 0.4 days (uncertainty given as 1 standard deviation). We use two different atmospheric moisture tracking models (WAM-2layers and 3D-T) to obtain atmospheric residence time characteristics in time and space. The tracking models estimate the global average residence time to be around 8.5 days based on ERA-Interim data. We conclude that the statement of a recent study that the global average residence time of water in the atmosphere is 4–5 days, is not correct. We derive spatial maps of residence time, attributed to evaporation and precipitation, and age of atmospheric water, showing that there are different ways of looking at temporal characteristics of atmospheric water. Longer evaporation residence times often indicate larger distances towards areas of high precipitation. From our analysis we find that the residence time over the ocean is about 2 days less than over land. It can be seen that in winter, the age of atmospheric moisture tends to be much lower than in summer. In the Northern Hemisphere, due to the contrast in ocean-to-land temperature and associated evaporation rates, the age of atmospheric moisture increases following atmospheric moisture flow inland in winter, and decreases in summer. Looking at the probability density functions of atmospheric residence time for precipitation and evaporation, we find long-tailed distributions with the median around 5 days. Overall, our research confirms the 8–10-day traditional estimate for the global mean residence time of atmospheric water, and our research contributes to a more complete view of the characteristics of the turnover of water in the atmosphere in time and space.

scholarly journals An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Fernando Mattioli ◽  
Daniel Caetano ◽  
Alexandre Cardoso ◽  
Eduardo Naves ◽  
Edgard Lamounier
Keyword(s):  
Genetic Algorithms ◽  
Deep Learning ◽  
Deep Neural Networks ◽  
State Of The Art ◽  
Complex Task ◽  
Trial And Error ◽  
Complex Solution ◽  
Computation Algorithms ◽  
Computational Resources ◽  
Topology Selection

The choice of a good topology for a deep neural network is a complex task, essential for any deep learning project. This task normally demands knowledge from previous experience, as the higher amount of required computational resources makes trial and error approaches prohibitive. Evolutionary computation algorithms have shown success in many domains, by guiding the exploration of complex solution spaces in the direction of the best solutions, with minimal human intervention. In this sense, this work presents the use of genetic algorithms in deep neural networks topology selection. The evaluated algorithms were able to find competitive topologies while spending less computational resources when compared to state-of-the-art methods.

scholarly journals Beyond equi-joins

2021 ◽  
Vol 14 (11) ◽  
pp. 2599-2612
Author(s):  
Nikolaos Tziavelis ◽  
Wolfgang Gatterbauer ◽  
Mirek Riedewald
Keyword(s):  
Experimental Study ◽  
State Of The Art ◽  
Database Systems ◽  
Ranking Function ◽  
Space Complexity ◽  
Time And Space ◽  
Running Time ◽  
Join Queries ◽  
Time And Space Complexity ◽  
Memory Efficient

We study theta-joins in general and join predicates with conjunctions and disjunctions of inequalities in particular, focusing on ranked enumeration where the answers are returned incrementally in an order dictated by a given ranking function. Our approach achieves strong time and space complexity properties: with n denoting the number of tuples in the database, we guarantee for acyclic full join queries with inequality conditions that for every value of k , the k top-ranked answers are returned in O ( n polylog n + k log k ) time. This is within a polylogarithmic factor of O ( n + k log k ), i.e., the best known complexity for equi-joins, and even of O ( n + k ), i.e., the time it takes to look at the input and return k answers in any order. Our guarantees extend to join queries with selections and many types of projections (namely those called "free-connex" queries and those that use bag semantics). Remarkably, they hold even when the number of join results is n ℓ for a join of ℓ relations. The key ingredient is a novel O ( n polylog n )-size factorized representation of the query output , which is constructed on-the-fly for a given query and database. In addition to providing the first nontrivial theoretical guarantees beyond equi-joins, we show in an experimental study that our ranked-enumeration approach is also memory-efficient and fast in practice, beating the running time of state-of-the-art database systems by orders of magnitude.

Validating a Tool for Predicting Problem-Specific Optimized Team Characteristics

2017 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
Keyword(s):  
Design Problem ◽  
State Of The Art ◽  
Response Surfaces ◽  
Problem Instance ◽  
Configuration Design ◽  
Team Characteristics ◽  
Optimal Approach ◽  
Cognitive Study ◽  
Superior Approach ◽  
Novel Design

The performance of a team is highly dependent on how the team is structured, how individuals in the team communicate with one another, and the properties exhibited by the problem being solved. It is generally assumed that teams are a superior approach in problem-solving and design. However, this work shows that for a configuration design problem of moderate size, the optimal approach for a homogenous team is in fact for members of the team to work independently, with the best solution from the individuals chosen at the end. Moreover, this work demonstrates that this surprising strategy can be predicted from knowledge of the problem’s properties through a computationally-derived set of response surfaces. First, a novel design problem is defined that requires solvers to create a system of internet-connected products to maintain the temperature within a home. Next, the characteristics of this new design problem are measured, and a computationally-derived response surface yields the untraditional prediction that teams should not interact while solving the problem. Finally, this prediction is tested and shown correct through a cognitive study. This work makes two contributions to the state of the art. First, it provides verification of a methodology that allows optimal team characteristics to be predicted based on knowledge of a design problem. Second, it demonstrates an additional problem instance for which interacting teams are inferior to nominal teams (adding to a growing literature to that effect).

scholarly journals Graph Attention Based Proposal 3D ConvNets for Action Detection

2020 ◽  
Vol 34 (04) ◽  
pp. 4626-4633 ◽  
Author(s):  
Jin Li ◽  
Xianglong Liu ◽  
Zhuofan Zong ◽  
Wanru Zhao ◽  
Mingyuan Zhang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Long Range ◽  
Convolutional Neural Networks ◽  
Adjacency Matrix ◽  
State Of The Art ◽  
Original Model ◽  
Action Detection ◽  
Model Experiments ◽  
Temporal And Spatial ◽  
Temporal Action

The recent advances in 3D Convolutional Neural Networks (3D CNNs) have shown promising performance for untrimmed video action detection, employing the popular detection framework that heavily relies on the temporal action proposal generations as the input of the action detector and localization regressor. In practice the proposals usually contain strong intra and inter relations among them, mainly stemming from the temporal and spatial variations in the video actions. However, most of existing 3D CNNs ignore the relations and thus suffer from the redundant proposals degenerating the detection performance and efficiency. To address this problem, we propose graph attention based proposal 3D ConvNets (AGCN-P-3DCNNs) for video action detection. Specifically, our proposed graph attention is composed of intra attention based GCN and inter attention based GCN. We use intra attention to learn the intra long-range dependencies inside each action proposal and update node matrix of Intra Attention based GCN, and use inter attention to learn the inter dependencies between different action proposals as adjacency matrix of Inter Attention based GCN. Afterwards, we fuse intra and inter attention to model intra long-range dependencies and inter dependencies simultaneously. Another contribution is that we propose a simple and effective framewise classifier, which enhances the feature presentation capabilities of backbone model. Experiments on two proposal 3D ConvNets based models (P-C3D and P-ResNet) and two popular action detection benchmarks (THUMOS 2014, ActivityNet v1.3) demonstrate the state-of-the-art performance achieved by our method. Particularly, P-C3D embedded with our module achieves average mAP 3.7% improvement on THUMOS 2014 dataset compared to original model.

Technology-Enabled Learning Environments

2016 ◽  
pp. 545-559
Author(s):  
Amir Manzoor
Keyword(s):  
Learning Environments ◽  
Teaching Strategies ◽  
Learning Process ◽  
Teaching And Learning ◽  
State Of The Art ◽  
Educational Institutions ◽  
Complex Phenomenon ◽  
Time And Space ◽  
Educational Environments ◽  
Quality Learning

In today's learning environments, students are encouraged to take a lead in controlling and managing their learning. In their process of learning, students are increasingly become independent of time and space. This changed students learning process has resulted in development of various tools, techniques, and strategies to facilitate the new ways of students learning. At the same times, faculty is challenged not only to master various teaching strategies but also to become proficient in the use of constantly evolving technology to support their teaching strategies. This interaction of technology, teaching, and learning is a complex phenomenon. This chapter explores state-of-the-art of today's technology-enabled educational environments to help educational institutions enhance existing quality learning environments and create new ones.

Sign in / Sign up

Export Citation Format

Share Document