613 research outputs found
Captopril reverses chronic unpredictable mild stress-induced depression-like behavior in rats via bradykinin-B2r signaling pathway
Purpose: To investigate the effect of captopril on chronic unpredictable mild stress (CUMS)-induced depression-like behavior in mice, and the involvement of the bradykinin-B2r signaling pathway in the process.
Methods: Sixty healthy male C57BL/6J mice were assigned to control, model and high-, medium- and low-dose captopril groups and given the drug at doses of 9, 18 and 36 mg/kg, respectively. Open field and elevated cross maze tests were carried out, and escape latency in Morris water maze test was also test. The expressions of bradykinin B2R signal pathway proteins were assayed.
Results: Open arm residence time and open arm entry times were significantly higher in captopril-exposed mice than in model mice, while 5-day escape latency values were significantly less in captopril-treated mice than in model group (p < 0.05). Protein expressions of B2R, bpnf and Cdc42 in captopril groups were significantly higher than those in model group (p < 0.05).
Conclusion: Captopril mitigates CUMS-mediated depression-like disease in mice by regulating bradykinin B2R signal pathway. Therefore, captopril may play an antidepressant role by activating the expressions of B2R, bpnf and Cdc42
A Sample Reuse Strategy for Dynamic Influence Maximization Problem
Dynamic influence maximization problem (DIMP) aims to maintain a group of
influential users within an evolving social network, so that the influence
scope can be maximized at any given moment. A primary category of DIMP
algorithms focuses on the renewal of reverse reachable (RR) sets, which is
designed for static social network scenarios, to accelerate the estimation of
influence spread. And the generation time of RR sets plays a crucial role in
algorithm efficiency. However, their update approaches require sequential
updates for each edge change, leading to considerable computational cost. In
this paper, we propose a strategy for batch updating the changes in network
edge weights to efficiently maintain RR sets. By calculating the probability
that previous RR sets can be regenerated at the current moment, we retain those
with a high probability. This method can effectively avoid the computational
cost associated with updating and sampling these RR sets. Besides, we propose
an resampling strategy that generates high-probability RR sets to make the
final distribution of RR sets approximate to the sampling probability
distribution under the current social network. The experimental results
indicate that our strategy is both scalable and efficient. On the one hand,
compared to the previous update strategies, the running time of our strategy is
insensitive to the number of changes in network weight; on the other hand, for
various RR set-based algorithms, our strategy can reduce the running time while
maintaining the solution quality that is essentially consistent with the static
algorithms
Power Fiber to the Home Opens Up a New Approach of Integration of Three Networks
AbstractThis thesis analyzes the development trend of power fiber to the home (PFTTH) and the current domestic situation of the integration of three networks. It develops its research about the integration system constitution of three networks based on power fiber to the home and proposes the research, development and implementation of power fiber to the home, which not only establishes new âinformation highwayâ based on the smart power grid, but also guarantees the realization of the state's planning objective of the integration of three networks to enable the rapid development of information industry in Chin
Slab horizontal subduction and slab tearing beneath East Asia
The presentâday architecture of subducted slabs in the mantle as inferred from seismic tomography is a record of plate tectonics through geological time. The unusually large slab that lies nearly horizontally above the 660âkm mantle discontinuity beneath East Asia is presumably from subduction of the Pacific plate. Numerical models have been used to explore the mechanical and geophysical factors that contribute to slab stagnation, but the evolution of this horizontal structure is not fully understood because of uncertainties in the plateâtectonic history and mantle heterogeneity. Here we show that forward mantleâflow models constrained by updated tectonic reconstructions can essentially fit major features in the seismic tomography beneath East Asia. Specifically, significant tearing propagated through the subducted western Pacific slab as the Philippine Sea plate rotated clockwise during the Miocene, leading to internal slab segmentation. We believe this tearing associated with Philippine Sea plate rotation also affects the horizontal configuration of slabs
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks
In this paper, we propose a novel distributed learning scheme, named
group-based split federated learning (GSFL), to speed up artificial
intelligence (AI) model training. Specifically, the GSFL operates in a
split-then-federated manner, which consists of three steps: 1) Model
distribution, in which the access point (AP) splits the AI models and
distributes the client-side models to clients; 2) Model training, in which each
client executes forward propagation and transmit the smashed data to the edge
server. The edge server executes forward and backward propagation and then
returns the gradient to the clients for updating local client-side models; and
3) Model aggregation, in which edge servers aggregate the server-side and
client-side models. Simulation results show that the GSFL outperforms vanilla
split learning and federated learning schemes in terms of overall training
latency while achieving satisfactory accuracy
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
We propose ADCLR: A ccurate and D ense Contrastive Representation Learning, a
novel self-supervised learning framework for learning accurate and dense vision
representation. To extract spatial-sensitive information, ADCLR introduces
query patches for contrasting in addition with global contrasting. Compared
with previous dense contrasting methods, ADCLR mainly enjoys three merits: i)
achieving both global-discriminative and spatial-sensitive representation, ii)
model-efficient (no extra parameters in addition to the global contrasting
baseline), and iii) correspondence-free and thus simpler to implement. Our
approach achieves new state-of-the-art performance for contrastive methods. On
classification tasks, for ViT-S, ADCLR achieves 77.5% top-1 accuracy on
ImageNet with linear probing, outperforming our baseline (DINO) without our
devised techniques as plug-in, by 0.5%. For ViT-B, ADCLR achieves 79.8%, 84.0%
accuracy on ImageNet by linear probing and finetune, outperforming iBOT by
0.3%, 0.2% accuracy. For dense tasks, on MS-COCO, ADCLR achieves significant
improvements of 44.3% AP on object detection, 39.7% AP on instance
segmentation, outperforming previous SOTA method SelfPatch by 2.2% and 1.2%,
respectively. On ADE20K, ADCLR outperforms SelfPatch by 1.0% mIoU, 1.2% mAcc on
the segm
Reconstruction of northeast Asian deformation integrated with western Pacific plate subduction since 200 Ma
The configuration and kinematics of continental deformation and its marginal plate tectonics on the Earth's surface are intrinsic manifestations of plate-mantle coupling. The complex interactions of plate boundary forces result in plate motions that are dominated by slab pull and ridge push forces and the effects of mantle drag; these interactions also result in continental deformation with a complex basin-mountain architecture and evolution. The kinematics and evolution of the western Pacific subduction and northeast Asian continental-margin deformation represent a first-order tectonic process whose nature and chronology remains controversial. This paper implements a âdeep-timeâ reconstruction of the western Pacific subduction, continental accretion or collision and basin-mountain deformation in northeast Asia since 200 Ma based on a newly revised global plate model. We use GPlates software to examine strain recovery, geological and seismic tomography constraints for the western Pacific plate subduction, and sequentially backward rotations of deforming features. The results indicate a NWâSE-oriented shortening from 200 to 137 Ma, a NWWâSEE-oriented extension from 136 to 101 Ma, a nearly NâS-oriented extension and uplift with a short-term NWWâSEE-oriented compressional inversion in northeast China from 100 to 67 Ma, and a NWâSE- and nearly NâS-oriented extension from 66 Ma to the present day. The western Pacific oceanic plate subducted forward under East Asia along Mudanjiang-Honshu Island during the Jurassic, and the trenches retreated to the Sikhote-Alin, North Shimanto, and South Shimanto zones from ca. 137â128 Ma, ca. 130â90 Ma, and in ca. 60 Ma, respectively. Our time-dependent analysis of plate motion and continental deformation coupling suggests that the multi-plate convergent motion and ocean-continent convergent orogeny were induced by advance subduction during the Jurassic and earliest Cretaceous. Our analysis also indicates that intra-continent rifting and back-arc extension were triggered by trench retreat during the Cretaceous and that the subduction of the oceanic ridge and arc were triggered by trench retreat during the Cenozoic. Therefore, reconstructing the history of plate motion and subduction and tracing the geological and deformation records in continents play a significant role in revealing the effects of complex plate motions and the interactions of plate boundary forces on plate-mantle coupling and plate motion-intracontinental deformation coupling
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