scholarly journals EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition

2020 ◽  
Vol 34 (07) ◽  
pp. 11149-11156
Author(s):  
Bowei Jin ◽  
Zhuo Xu
Keyword(s):  
High Performance ◽  
High Efficiency ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Temporal Relations ◽  
Convolutional Network ◽  
Temporal Modeling ◽  
Video Recognition ◽  
Non Local

Research for computation-efficient video understanding is of great importance to real-world deployment. However, most of high-performance approaches are too computationally expensive for practical application. Though several efficiency oriented works are proposed, they inevitably suffer degradation of performance in terms of accuracy. In this paper, we explore a new architecture EAC-Net, enjoying both high efficiency and high performance. Specifically, we propose Motion Guided Temporal Encode (MGTE) blocks for temporal modeling, which exploits motion information and temporal relations among neighbor frames. EAC-Net is then constructed by inserting multiple MGTE blocks to common 2D CNNs. Furthermore, we proposed Atrous Temporal Encode (ATE) block for capturing long-term temporal relations at multiple time scales for further enhancing representation power of EAC-Net. Through experiments on Kinetics, our EAC-Nets achieved better results than TSM models with fewer FLOPs. With same 2D backbones, EAC-Nets outperformed Non-Local I3D counterparts by achieving higher accuracy with only about 7× fewer FLOPs. On Something-Something-V1 dataset, EAC-Net achieved 47% top-1 accuracy with 70G FLOPs which is 0.9% more accurate and 8× less FLOPs than that of Non-Local I3D+GCN.

Forecasting long-term shoreline evolution in highly antrhopized coastal areas

2021 ◽  
Author(s):  
Moisés Álvarez-Cuesta ◽  
Alexandra Toimil ◽  
Iñigo J. Losada
Keyword(s):  
Climate Models ◽  
Regional Scale ◽  
Mediterranean Coast ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Coastal Zones ◽  
Climate Data ◽  
Shoreline Evolution ◽  
Automated Technique

<p>A new numerical model for addressing long-term coastline evolution on a local to regional scale on highly anthropized coasts is presented. The model, named IH-LANS (Long-term ANthropized coastlines Simulation tool), is validated over the period 1990-2020 and applied to obtain an ensemble of end-of-century shoreline evolutions. IH-LANS combines a hybrid (statistical-numerical) deep-water propagation module and a shoreline evolution model. Longshore and cross-shore processes are integrated together with the effects of man-made interventions. For the ease of calibration, an automated technique is implemented to assimilate observations. The model is applied to a highly anthropized 40 km stretch located along the Spanish Mediterranean coast. High space-time resolution climate data and satellite-derived shorelines are used to drive IH-LANS. Observed shoreline evolution (<10 meters of root mean square error, RMSE) is successfully represented while accounting for the effects of nourishments and the construction and removal of groynes, seawalls and breakwaters over time. Then, in order to drive the ensemble of end-of-century shoreline evolutions, wave and water level projections downscaled from different climate models for various emissions scenarios are employed to force the calibrated model. From the forecasted shoreline time-series, information from multiple time-scales is unraveled yielding valuable information for coastal planners. The efficiency and accuracy of the model make IH-LANS a powerful tool for management and climate change adaptation in coastal zones.</p>

Aging Couples: Benefits and Costs of Long Intimate Relations

2018 ◽  
Author(s):  
Victoria I. Michalowski ◽  
Denis Gerstorf ◽  
Christiane A. Hoppmann
Keyword(s):  
Time Frame ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Physical And Mental Health ◽  
Short Term ◽  
Intimate Relations ◽  
Benefits And Costs ◽  
Over Time

Aging does not occur in isolation, but often involves significant others such as spouses. Whether such dyadic associations involve gains or losses depends on a myriad of factors, including the time frame under consideration. What is beneficial in the short term may not be so in the long term, and vice versa. Similarly, what is beneficial for one partner may be costly for the other, or the couple unit over time. Daily dynamics between partners involving emotion processes, health behaviors, and collaborative cognition may accumulate over years to affect the longer-term physical and mental health outcomes of either partner or both partners across adulthood and into old age. Future research should move beyond an individual-focused approach to aging and consider the importance of and interactions among multiple time scales to better understand how, when, and why older spouses shape each other’s aging trajectories, both for better and for worse.

scholarly journals Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network

2020 ◽  
Vol 34 (05) ◽  
pp. 9024-9031
Author(s):  
Pingjie Tang ◽  
Meng Jiang ◽  
Bryan (Ning) Xia ◽  
Jed W. Pitera ◽  
Jeffrey Welser ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
High Performance ◽  
State Of The Art ◽  
Convolutional Network ◽  
Attention Model ◽  
Patent Classification ◽  
International Patent ◽  
Non Local ◽  
Text Content ◽  
Document Representations

Patent categorization, which is to assign multiple International Patent Classification (IPC) codes to a patent document, relies heavily on expert efforts, as it requires substantial domain knowledge. When formulated as a multi-label text classification (MTC) problem, it draws two challenges to existing models: one is to learn effective document representations from text content; the other is to model the cross-section behavior of label set. In this work, we propose a label attention model based on graph convolutional network. It jointly learns the document-word associations and word-word co-occurrences to generate rich semantic embeddings of documents. It employs a non-local attention mechanism to learn label representations in the same space of document representations for multi-label classification. On a large CIRCA patent database, we evaluate the performance of our model and as many as seven competitive baselines. We find that our model outperforms all those prior state of the art by a large margin and achieves high performance on P@k and nDCG@k.

Myeloid Expansion after Insertional Activation of MDS1/EVI1, PRDM16 and SETBP1 in a Successful Chronic Granulomatous Gene Therapy Trial.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 198-198
Author(s):  
Kerstin Schwarzwaelder ◽  
Manfred Schmidt ◽  
Marion G. Ott ◽  
Stefan Stein ◽  
Hanno Glimm ◽  
...  
Keyword(s):  
Gene Therapy ◽  
Side Effects ◽  
High Efficiency ◽  
Post Treatment ◽  
Multiple Time ◽  
Gene Therapy Trial ◽  
Vector Integration ◽  
Integration Sites ◽  
Therapy Trial

Abstract Successful gene therapy trials of ADA-SCID and SCID-X1 demonstrated the curative potential of oncoretroviral gene transfer. Integration of the retroviral vectors used in these studies has been thought to be a random process but severe side effects in gene therapy and in vitro studies revealed preferred insertion of these vectors mainly around transcription start sites. In SCID patients proliferation advantage of gene corrected cells was one reason for the success of the trials, whereas in the most recent chronic granulomatous disease (CGD) gene therapy trial corrected cells do not have any selective advantage therefore the two patients received mild busulfan treatment before transplantation. High efficiency transduction and conditioning have helped in the successful correction of the patients. Peripheral blood granulocytes show a stable expression (>10%) of the transgene (gp91phox) in patient 1 (15 months post treatment) as well as in patient 2 (11 months post treatment). We reasoned that, unlike T cells, which have the capability to proliferate independent of their bone marrow progenitors, granulocytes more directly reflect the influence of retrovirus insertion, and should therefore allow to closely monitor clonal fate in vivo and its potential relation to vector insertion. To study the clonality of the corrected myelopoiesis, the long term activity of individual cell clones, and the distribution of integration sites in active cells we carried out high sensitive LAM-PCR. The highly polyclonal composition of transduced cells forming myelopoiesis caused the sustained expression of gp91phox. Individual clones carrying the transgene could be detected at multiple time points. To define whether corrected cells have a proliferation advantage due to their vector integration we started large-scale sequencing and mapping of involved insertion sites. We here present >700 unique mappable integration sites of the two treated patients. The distribution of the SFFV based retroviral vector integration sites in this trial turned non random 5 months after transplantation. Corrected long-term myelopoiesis expanded 3- to 5- fold in the two patients due to activating common integration sites (CIS) in the zinc finger transcription factor homologs MDS1/EVI1, PRDM16, or in SETBP1, suggesting that these genes influence regulation of normal long-term hematopoiesis in humans. Our data indicate that the therapeutic benefit in this trial was activated through insertional side effects, therefore our findings have important implications in novel gene therapy approaches.

scholarly journals Intracellular calcium stores mediate a synapse-specific form of metaplasticity at hippocampal dendritic spines

2018 ◽  
Author(s):  
Gaurang Mahajan ◽  
Suhita Nadkarni
Keyword(s):  
Dendritic Spines ◽  
Activity Patterns ◽  
Long Term Potentiation ◽  
Multiple Time Scales ◽  
Calcium Stores ◽  
Multiple Time ◽  
Additional Layer ◽  
Term Potentiation ◽  
Activity Dependent

ABSTRACTLong-term plasticity mediated by NMDA receptors supports input-specific, Hebbian forms of learning at excitatory CA3-CA1 connections in the hippocampus. An additional layer of stabilizing mechanisms that act globally as well as locally over multiple time scales may be in place to ensure that plasticity occurs in a constrained manner. Here, we investigate the potential role of calcium (Ca2+) stores associated with the endoplasmic reticulum (ER) in the local regulation of plasticity dynamics at individual CA1 synapses. Our study is spurred by (1) the curious observation that ER is sparsely distributed in dendritic spines, but over-represented in large spines that are likely to have undergone activity-dependent strengthening, and (2) evidence suggesting that ER motility within synapses can be rapid, and accompany activity-regulated spine remodeling. Based on a physiologically realistic computational model for ER-bearing CA1 spines, we characterize the contribution of IP3-sensitive Ca2+ stores to spine Ca2+ dynamics during activity patterns mimicking the induction of long-term potentiation (LTP) and depression (LTD). Our results suggest graded modulation of the NMDA receptor-dependent plasticity profile by ER, which selectively enhances LTD induction. We propose that spine ER can locally tune Ca2+-based plasticity on an as-needed basis, providing a braking mechanism to mitigate runaway strengthening at potentiated synapses. Our model suggests that the presence of ER in the CA1 spine may promote re-use of synapses with saturated strengths.

scholarly journals Medium and long-term wind energy forecasting method considering multi-scale periodic pattern

2020 ◽  
Vol 182 ◽  
pp. 01002
Author(s):  
Yisha Lin ◽  
Zongxiang Lu ◽  
Ying Qiao ◽  
Mingjie Li ◽  
Zhifeng Liang
Keyword(s):  
Wind Power ◽  
Meteorological Condition ◽  
Parametric Estimation ◽  
Cumulative Distribution ◽  
Multiple Time Scales ◽  
Periodic Pattern ◽  
Multiple Time ◽  
Energy Forecasting ◽  
Multi Scale

Medium and long-term weather sequence forecast becomes unreliable beyond two weeks since the weather is a chaotic system. Using values of same months for electricity prediction of wind power is the usual method. This approach defaults wind power output with annual cycle law. However, the periodic pattern can be very complicated in fact with multiple time scales. This paper proposes an approach with multi-scale periodic pattern considered. The application of parametric estimation on cumulative distribution function avoids the difficulty of predicting the power curve. Meteorological condition is considered to some extent via multi-scale periodic pattern explored basing on historical energy data. This work is an exploration for medium and long-term wind power forecasting that can well adapt to existing conditions. It has better prediction accuracy than the method without multi-scale periodicity considered.

What Emotion Dysregulation Looks Like

2018 ◽  
pp. 52-68
Author(s):  
K. Ashana Ramsook ◽  
Pamela M. Cole ◽  
Margaret A. Fields-Olivieri
Keyword(s):  
Observational Studies ◽  
Emotion Dysregulation ◽  
Emotional Reaction ◽  
Observational Research ◽  
Multiple Time Scales ◽  
Emotional Expressions ◽  
Multiple Time ◽  
Observational Methods ◽  
New Directions

Recent conceptualizations of emotion dysregulation define it as a process that unfolds over multiple time scales and that leads to short- or long-term impairments. This chapter discusses the advantages of observational methods for measuring emotion dysregulation as a process, focusing on three patterns and associated evidence of them from observational studies. First, the chapter discusses context-inappropriate emotion, the absence of an expected emotional reaction or an atypical reaction for the situational context. Second, it discusses atypical emotion dynamics, specifically emotional expressions that change abruptly, including but not limited to emotional lability. Third, it discusses ways in which emotions endure and are difficult to modify, pointing to ineffective strategy use as a mechanism. It concludes by discussing new directions for observational research, including creative study design and analytic methods that can capture emotion dysregulation.

scholarly journals The Price of Fame: The Impact of Stimulus Familiarity on Proactive Interference Resolution

2011 ◽  
Vol 23 (4) ◽  
pp. 816-831 ◽  
Author(s):  
Ranjani Prabhakaran ◽  
Sharon L. Thompson-Schill
Keyword(s):  
Proactive Interference ◽  
Memory Retrieval ◽  
Recognition Task ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Short Term ◽  
Stimulus Familiarity ◽  
Resolution Processes ◽  
The Impact

Interference from previously learned information, known as proactive interference (PI), limits our memory retrieval abilities. Previous studies of PI resolution have focused on the role of short-term familiarity, or recency, in causing PI. In the present study, we investigated the impact of long-term stimulus familiarity on PI resolution processes. In two behavioral experiments and one event-related fMRI experiment, long-term familiarity was manipulated through the use of famous and nonfamous stimuli, and short-term familiarity was manipulated through the use of recent and nonrecent probe items in an item recognition task. The right middle frontal gyrus demonstrated greater sensitivity to famous stimuli, suggesting that long-term stimulus familiarity plays a role in influencing PI resolution processes. Further examination of the effect of long-term stimulus familiarity on PI resolution revealed a larger behavioral interference effect for famous stimuli, but only under speeded response conditions. Thus, models of memory retrieval—and of the cognitive control mechanisms that guide retrieval processes—should consider the impact of and interactions among sources of familiarity on multiple time scales.

scholarly journals Spatial and Temporal Analyses of Vegetation Changes at Multiple Time Scales in the Qilian Mountains

2021 ◽  
Vol 13 (24) ◽  
pp. 5046
Author(s):  
Lifeng Zhang ◽  
Haowen Yan ◽  
Lisha Qiu ◽  
Shengpeng Cao ◽  
Yi He ◽  
...  
Keyword(s):  
Time Scales ◽  
Qilian Mountains ◽  
Dominant Factor ◽  
Multiple Time Scales ◽  
Vegetation Changes ◽  
Multiple Time ◽  
Temperature And Precipitation ◽  
The Qilian Mountains ◽  
Vegetation Variation

The Qilian Mountains (QLMs), an important ecological protective barrier and major water resource connotation area in the Hexi Corridor region, have an important impact on ecological security in western China due to their ecological changes. However, most existing studies have investigated vegetation changes and their main driving forces in the QLMs on the basis of a single scale. Thus, the interactions among multiple environmental factors in the QLMs are still unclear. This study was based on normalised difference vegetation index (NDVI) data from 2000 to 2019. We systematically analysed the spatial and temporal characteristics of the QLMs at multiple time scales using trend analysis, ensemble empirical mode decomposition, Geodetector, and correlation analysis methods. At different time scales under single-factor and multi-factor interactions, we examined the mechanisms of the vegetation changes and their drivers. Our results showed that the vegetation in the QLMs showed a trend of overall improvement in 2000–2019, at a rate of 0.88 × 10−3, mainly in the central western regions. The NDVI in the QLMs showed a short change cycle of 3 and 5 years and a long-term trend. Sunshine time and wind speed were the main drivers of the vegetation variation in the QLMs, followed by temperature. Precipitation affected the vegetation spatial variation within a certain altitude range. However, temperature and precipitation had stronger explanatory powers for the vegetation variation in the western QLMs than in the eastern part. Their interaction was the dominant factor in the regional differences in vegetation. The responses of the NDVI to temperature and precipitation were stronger in the long time series. The main drivers of vegetation variation were land surface temperature and precipitation in the east and temperature and evapotranspiration in the west. Precipitation was the main driver of vegetation growth in the northern and southwestern QLMs on both the short- and long-term scales. Vegetation changes were more significantly influenced by short-term temperature changes in the east but by a combination of temperature and precipitation in most parts of the QLMs on a 5-year time scale.

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