Enabling QoE-aware Mobile Cloud Video Recording over Roadside Vehicular Networks

Most of previous video recording devices in mobile vehicles commonly store captured video contents locally. With the rapid development of 4G/Wi Fi networks, there emerges a new trend to equip video recording devices with wireless interfaces to enable video uploading to the cloud for video playback in a later time point. In this paper, we propose a QoE-aware mobile cloud video recording scheme in the roadside vehicular networks, which can adaptively select the proper wireless interface and video bitrate for video uploading to the cloud. To maximize the total utility, we need to design a control strategy to carefully balance the transmission cost and the achieved QoE for users. To this purpose, we investigate the tradeoff between cost incurred by uploading through cellular networks and the achieved QoE of users. We apply the optimization framework to solve the formulated problem and design an online scheduling algorithm. We also conduct extensive trace-driven simulations and our results show that our algorithm achieves a good balance between the transmission cost and user QoE.

Structure-based design,synthesis,and biological evaluation of novel pyrimidinone derivatives as PDE9 inhibitors

The pathological processes of Alzheimer's disease and type 2 diabetes mellitus have been demonstrated to be linked together. Both PDE9 inhibitors and PPARγ agonists such as rosiglitazone exhibited remarkable preclinical and clinical treatment effects for these two diseases. In this study, a series of PDE9 inhibitors combining the pharmacophore of rosiglitazone were discovered. All the compounds possessed remarkable affinities towards PDE9 and four of them have the IC_(50) values 5n mol/L. In addition, these four compounds showed low cell toxicity in human SH-SY5Y neuroblastoma cells.Compound 11a, the most effective one, gave the IC_(50) of 1.1 nmol/L towards PDE9, which is significantly better than the reference compounds PF-04447943 and BAY 73-6691. The analysis of putative binding patterns and binding free energy of the designed compounds with PDE9 may explain the structure–activity relationships and provide evidence for further structural modifications.

Inhibition of p53 and/or AKT as a new therapeutic approach specifically targeting ALT cancers

While the majority of all human cancers court teract telomere shortening by expressing telomerase,-15%of all cancers maintain telomere length by a telomerase?independent mechanism known as alternative lengthening of telomeres(ALT).Here,we show that high load of intrinsic DNA damage is present in ALT cancer cells,leading to apoptosis stress by activating p53-independent,but JNK/c-IVIyc-dependent apoptotic pathway.Notably,ALT cells expressing wild-type p53 show much lower apoptosis than p53-deficient ALT cells.Mechanistically,we find that intrinsic DNA damage in ALT cells induces low level of p53 that is insufficient to initiate the transcription of apoptosis-related genes,but is sufficient to stimulate the expression of key components of mTORC2(mTOR and Rictor),which in turn leads to phosphorylation of AKT.Activated AKT(p-AKT)thereby stimulates downstream anti-apoptotic events.Therefore,p53 and AKT are the key factors that suppress sponta?neous apoptosis in ALT cells.Indeed,inhibition of p53 or AKT selectively induces rapid death of ALT cells in vitro,and p53 inhibitor severely suppresses the growth of ALT-cell xenograft tumors in mice.These findings reveal a previously unrecognized function of p53 in antiapoptosis and identify that the inhibition of p53 or AKT has a potential as therapeutics for specifically targeting ALT cancers.

Correction to:Inhibition of p53 and/or AKT as a new therapeutic approach specifically targeting ALT cancers

Figure 4.AKT is phosphorylated in p53>dependent manner in ALT cells.(A)Western blot determination of total and phosphorylated AKT(S473)in p53-positive(VA13,U20S)and p53-defective(SAOS2,SKLU-1)ALT cells.(B)Knockdown of p53 in U20S or moderate expression of p53 in SAOS2 induces down or up-regulation of p-AKT,respectively.(C)Knockdown of ATM or ATR by siRNA decreases abundance of p53,phosphorylated p53 and p-AKT.(D)Quantitative-PCR determination of the level of ATR or ATM in U20S cells transfected with siRNA to ATR or ATM,respectively.Scramble siRNA(Si-Ctl)was used as control.Data represent the mean±SEM,n=3-4.(E)ATM(KU60019)or ATR(VE-821)inhibitor decreases abundance of p-AKT in U20S cells.U20S cells were treated with indicated concentration of KU60019 or VE-821 for 24 h.(F)The expression of wt-p53,but not mutant p53(p53-s269e)defective of transcription activity,increases the level of p-AKT.(G)PFTa.an inhibitor of p53 transcription activity,suppresses the phosphorylation of AKT.U20S cells were treated with indicated concentration of PFTa for 24 h.

DFTracker: detecting double-fetch bugs by multi-taint parallel tracking

A race condition is a common trigger for concurrency bugs. As a special case, a race condition can also occur across the kernel and user space causing a doublefetch bug, which is a field that has received little research attention. In our work, we first analyzed real-world doublefetch bug cases and extracted two specific patterns for doublefetch bugs. Based on these patter ns, we proposed an approach of multi-taint parallel tracking to detect double-fetch bugs. We also implemented a prototype called DFTracker (doublefetch bug tracker), and we evaluated it with our test suite. Our experiments demonstrated that it could effectively find all the double-fetch bugs in the test suite including eight realworld cases with no false negatives and minor false positives. In addition, we tested it on Linux kernel and found a new double-fetch bug. The execution overhead is approximately 2x for single-file cases and approximately 9x for the whole kernel test, which is acceptable. To the best of the authors1 knowledge, this work is the first to introduce multi-taint parallel tracking to double-fetch bug detection—an innovative method that is specific to double-fetch bug features—and has better path coverage as well as lower runtime overhead than the widely used dynamic approaches.

VirusMap:A visualization database for the influenza A virus

Influenza A virus,a highly virulent pathogen that has caused several pandemic events over the course of human history,still remains a major threat to human health at present.The most serious influenza pandemic in recorded history was the 1918 Spanish flu outbreak,which killed about 20-100 million people worldwide（Murray et al.,2006）.Also,