Polynomial-Time Assignment-Based Cell Association with Generic Utility Functions

Cell association is a significant research issue in future mobile communication systems due to the unacceptably large computational time of traditional schemes.This article proposes a polynomial-time cell association scheme which not only completes the association in polynomial time but also fits for a generic optimization objective function.On the one hand,traditional cell association as a non-deterministic polynomial(NP)hard problem with a generic utility function is heuristically transformed into a 2-dimensional assignment optimization and solved by a certain polynomial-time algorithm,which significantly saves computational time.On the other hand,the scheme jointly considers utility maximization and load balancing among multiple base stations(BSs)by maintaining an experience pool storing a set of weighting factor values and their corresponding performances.When an association optimization is required,a suitable weighting factor value is taken from the pool to calculate a long square utility matrix and a certain polynomial-time algorithm will be applied for the association.Comparing with several representative schemes,the proposed scheme achieves large system capacity and high fairness within a relatively short computational time.

Intelligent Fast Cell Association Scheme Based on Deep Q-Learning in Ultra-Dense Cellular Networks

To support dramatically increased traffic loads,communication networks become ultra-dense.Traditional cell association(CA)schemes are timeconsuming,forcing researchers to seek fast schemes.This paper proposes a deep Q-learning based scheme,whose main idea is to train a deep neural network(DNN)to calculate the Q values of all the state-action pairs and the cell holding the maximum Q value is associated.In the training stage,the intelligent agent continuously generates samples through the trial-anderror method to train the DNN until convergence.In the application stage,state vectors of all the users are inputted to the trained DNN to quickly obtain a satisfied CA result of a scenario with the same BS locations and user distribution.Simulations demonstrate that the proposed scheme provides satisfied CA results in a computational time several orders of magnitudes shorter than traditional schemes.Meanwhile,performance metrics,such as capacity and fairness,can be guaranteed.

Proliferating cell nuclear antigen clamp associated factor,a potential proto-oncogene with increased expression in malignant gastrointestinal tumors

Gastrointestinal(GI)cancers,including malignancies in the gastrointestinal tract and accessory organs of digestion,represent the leading cause of death worldwide due to the poor prognosis of most GI cancers.An investigation into the potential molecular targets of prediction,diagnosis,prognosis,and therapy in GI cancers is urgently required.Proliferating cell nuclear antigen(PCNA)clamp associated factor(PCLAF),which plays an essential role in cell proliferation,apoptosis,and cell cycle regulation by binding to PCNA,is a potential molecular target of GI cancers as it contributes to a series of malignant properties,including tumorigenesis,epithelial-mesenchymal transition,migration,and invasion.Furthermore,PCLAF is an underlying plasma prediction target in colorectal cancer and liver cancer.In addition to GI cancers,PCLAF is also involved in other types of cancers and autoimmune diseases.Several pivotal pathways,including the Rb/E2F pathway,NF-κB pathway,and p53-p21 cascade,are implicated in PCLAF-mediated diseases.PCLAF also contributes to some diseases through dysregulation of the p53 pathway,WNT signal pathway,MEK/ERK pathway,and PI3K/AKT/mTOR signal cascade.This review mainly describes in detail the role of PCLAF in physiological status and GI cancers.The signaling pathways involved in PCLAF are also summarized.Suppression of the interaction of PCLAF/PCNA or the expression of PCLAF might be potential biological therapeutic strategies for GI cancers.

Hepatitis E virus-related acute liver failure associated with pure red cell aplasia

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Tuberous sclerosis complex associated renal clear cell carcinoma(a case report and literature review)

Objective To explore the diagnosis and treatment features of tuberous sclerosis complex associated renal cell carcinoma. Methods A 22-year-old boy with a childhood history of epilepsy and mental retardation pres-