The integration of multiple wireless communication systems based on 5G is an important development trend for achieving comprehensive coverage of communication networks in power systems. However, ...current time synchronization in the power system cannot meet the service requirements of high reliability and low latency in 5G integrated communication networks, which is characterized by wireless link and dynamize topology. In this paper, a time synchronization architecture based on 5G-MEC and integrated wireless self-organized networks is proposed to meet the time synchronization requirements of 5G integrated communication networks. Also, by constructing synchronous message passing and error compensation as virtual network services, a VNF deployment method that considers resource constraints, latency requirements, and wireless self-organized network topology is designed. Finally, in order to solve the problem of delay jitter, a time synchronization error compensation method based on diffusion Kalman filter is proposed. Simulation results show that the method proposed can effectively improve the number of synchronized service users and success rate, reduce delay jitter, and improve synchronous accuracy of power services.
In order to coordinate energy interactions among various communities and energy conversions among multi-energy subsystems within the multi-community integrated energy system under uncertain ...conditions, and achieve overall optimization and scheduling of the comprehensive energy system, this paper proposes a comprehensive scheduling model that utilizes a multi-agent deep reinforcement learning algorithm to learn load characteristics of different communities and make decisions based on this knowledge. In this model, the scheduling problem of the integrated energy system is transformed into a Markov decision process and solved using a data-driven deep reinforcement learning algorithm, which avoids the need for modeling complex energy coupling relationships between multi-communities and multi-energy subsystems. The simulation results show that the proposed method effectively captures the load characteristics of different communities and utilizes their complementary features to coordinate reasonable energy interactions among them. This leads to a reduction in wind curtailment rate from 16.3% to 0% and lowers the overall operating cost by 5445.6 Yuan, demonstrating significant economic and environmental benefits.
Over the past decades, context sensitivity has been considered as one of the most effective ideas for improving the precision of pointer analysis for Java. However, despite great precision benefits, ...as each method is equivalently cloned and analyzed under each context, context sensitivity brings heavy efficiency costs. In this work, we present a fundamentally different approach called Cut-Shortcut for fast and precise pointer analysis for Java. Its insight is simple: the main effect of cloning methods under different contexts is to filter spurious object flows that have been merged inside a callee method; from the view of a typical pointer flow graph (PFG), such effect can be simulated by cutting off (Cut) the edges that introduce precision loss to certain pointers and adding Shortcut edges directly from source pointers to the target ones circumventing the method on PFG. As a result, we can achieve the effect of context sensitivity without contexts. We identify three general program patterns and develop algorithms based on them to safely cut off and add shortcut edges on PFG, formalize them and formally prove the soundness. To comprehensively validate Cut-Shortcut's effectiveness, we implement two versions of Cut-Shortcut for two state-of-the-art pointer analysis frameworks for Java, one in Datalog for the declarative Doop and the other in Java for the imperative Tai-e, and we consider all the large and complex programs used in recent literatures that meet the experimental requirements. The evaluation results are extremely promising: Cut-Shortcut is even able to run faster than context insensitivity for most evaluated programs while obtaining high precision that is comparable to context sensitivity (if scalable) in both frameworks. This is for the first time that we have been able to achieve such a good efficiency and precision trade-off for those hard-to-analyze programs.
Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin's lymphoma. Conventional chemotherapy (CHOP: cyclophosphamide, doxorubicin, vincristine, prednisone) seems unsatisfactory, ...so modifications of CHOP are used to improve the efficacy. DLBCL is a highly variable tumor, with different responses to therapy. The aim of this study is to explore the association between immunophenotype and treatment response.
We analyzed the expression of Bcl-6, CD10, and MUM1 in 130 cases of DLBCL using immunohistochemistry. The cases were subdivided into germinal center B-cell-like (GCB) and non-GCB subtypes, and were randomly assigned to receive either 6-8 cycles of CHOP every 2 weeks or standard CHOP every 3 weeks.
After a median followup duration of 40 months, 3-year overall survival of biweekly CHOP was better than standard CHOP in the non-GCB group (58.3 vs. 38.6%, p < 0.05). However, the therapeutic effect of biweekly CHOP and standard CHOP was not different in the GCB group (64.8 vs. 57.5%, p > 0.05).
Immunohistochemistry analysis of different subgroups is useful to find the suitable therapy. Biweekly CHOP showed higher efficacy than standard treatment in the non-GCB subgroup.
In order to recognize the hand-motions based on the Surface Electromyography(SEMG), a feature extracting algorithm is presented in the paper, which is built by combining Hilbert-Huang ...Transformation(HHT) with AR-model. According to the frequency-credit of each Intrinsic Mode Function (IMF) after HHT, six frequency-effective IMFs are selected. At the same time, the rectangle window is built based on the motion-start time and the motion-end time to extract motion signal of the six IMFs. The motion-start and motion-end points are decided by the instantaneous amplitude of the IMF with the largest frequency-credit. AR-model is built to extract the SEMG features for each IMF which are selected by frequency-credit and processed by the rectangle window. At last, two SEMG makes up the motion-feature vector. At last, Principal Components of the motion-feature vector are extracted and then put them into the Support Vector Machine (SVM) classifier to do the multi-patterns classification. The experimental results indicate that above method can have a good performance of discriminating four hand-movement patterns namely, palmar dorsiflexion and flexion, hand opening and closing.
After collecting and arranging the entrepreneurship research literature in transition economies over the past 20 years, this paper systematically reviewed the main achievements and weakness of the ...existing studies especially on entrepreneurial ventures, and then constructed the entrepreneurship research system in transition economies from the aspects of theoretical development, research perspectives and research methods.
Resource, opportunity and entrepreneurial experience are three key issues focused in the current entrepreneurial theory and practice continuously. Based on reviewing many literatures, this paper ...developed a integrated conceptual framework of the relationship between entrepreneurial experience and opportunity identification which entrepreneur resources as a medium variable and put forward five hypotheses. Then we collected data in Changchun city to examine them. The results showed experience positively impacted on opportunity identification, social resources' medium effect was significant, however, the medium effect of financial resource between experience and opportunity identification was not significant as we suppose.
We compute \(M\)-point conformal blocks with scalar external and exchange operators in the so-called comb configuration for any \(M\) in any dimension \(d\). Our computation involves repeated use of ...the operator product expansion to increase the number of external fields. We check our results in several limits and compare with the expressions available in the literature when \(M=5\) for any \(d\), and also when \(M\) is arbitrary while \(d=1\).
Although the emergence of SiC MOSFET could perfectly satisfies the strict requirements of motor drive system towards higher operation efficiency and power density, many problems, including severe ...voltage/current stress and electromagnetic interference (EMI), will consequently generate because of the high switching speed of SiC MOSFET. With the precondition of ensuring the power density and the operation efficiency of the motor drive system, this paper mainly emphasizes on contrasting the effect of increasing the gate drive resistance (R g ) and appending the RC snubbers on the EMI suppression under high voltage and high current environment. Through further experimental research, we have reached the conclusion that the attachment of the RC snubbers obviously plays a better role in both restraining the level of EMI and maintaining the switching loss. In other words, this improvement is likely to promote the operation efficiency and power density, which is anticipated in the motor drive system.
