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| 1 | Klotho in Osx+-mesenchymal progenitors exerts pro-osteogenic and anti-inflammatory effects during mandibular alveolar bone formation and repair显示文摘Maxillofacial bone defects are commonly seen in clinical practice.A clearer understanding of the regulatory network directing maxillofacial bone formation will promote the development of novel therapeutic approaches for bone regeneration.The fibroblast growth factor(FGF)signalling pathway is critical for the development of maxillofacial bone.Klotho,a type I transmembrane protein,is an important components of FGF receptor complexes.Recent studies have reported the presence of Klotho expression in bone.However,the role of Klotho in cranioskeletal development and repair remains unknown.Here,we use a genetic strategy to report that deletion of Klotho in Osx-positive mesenchymal progenitors leads to a significant reduction in osteogenesis under physiological and pathological conditions.Klotho-deficient mensenchymal progenitors also suppress osteoclastogenesis in vitro and in vivo.Under conditions of inflammation and trauma-induced bone loss,we find that Klotho exerts an inhibitory function on inflammation-induced TNFR signaling by attenuating Rankl expression.More importantly,we show for the first time that Klotho is present in human alveolar bone,with a distinct expression pattern under both normal and pathological conditions.In summary,our results identify the mechanism whereby Klotho expressed in Osx+-mensenchymal progenitors controls osteoblast differentiation and osteoclastogenesis during mandibular alveolar bone formation and repair.Klotho-mediated signaling is an important component of alveolar bone remodeling and regeneration.It may also be a target for future therapeutics. | Yi Fan Chen Cui Clifford JRosen Tadatoshi Sato Ruoshi Xu Peiran Li Xi Wei Ruiye Bi Quan Yuan Chenchen Zhou | 2022 | Signal Transduction and Targeted Therapy2022，7，6： | 3 |
| 2 | Resilient outage recovery of a distribution system: co-optimizing mobile power sources with network structure显示文摘Outage recovery is important for reducing the economic cost and improving the reliability of a distribution system(DS)in extreme weather and with equipment faults.Previous studies have separately considered network reconfigu-ration(NR)and dispatching mobile power sources(MPS)to restore the outage load.However,NR cannot deal with the scenario of an electrical island,while dispatching MPS results in a long power outage.In this paper,a resilient outage recovery method based on co-optimizing MPS and NR is proposed,where the DS and traffic network(TN)are considered simultaneously.In the DS,the switch action cost and power losses are minimized,and the access points of MPSs are changed by carrying out the NR process.In the TN,an MPS dispatching model with the objective of mini-mizing power outage time,routing and power generation cost is developed to optimize the MPSs’schedule.A solu-tion algorithm based on iteration and relaxation methods is proposed to simplify the solving process and obtain the optimal recovery strategy.Finally,numerical case studies on the IEEE 33 and 119-bus systems validate the proposed resilient outage recovery method.It is shown that the access point of MPS can be changed by NR to decrease the power outage time and dispatching cost of MPS.The results also show that the system operation cost can be reduced by considering power losses in the objective function. | Chenchen Li Yanna Xi Yufan Lu Nian Liu Liudong Chen Li Ju Yibin Tao | 2022 | Protection and Control of Modern Power Systems2022，7，1： | 2 |
| 3 | Targeted metabolic analysis of nucleotides and identification of biomarkers associated with cancer in cultured cell models显示文摘Cancer,like other diseases accompanied by metabolic changes,shows characteristic DNA/RNA modifications and activities of modifying enzymes,resulting in fluctuations in nucleoside levels.In this study,we undertook targeted metabolomic analyses of nucleotides in different cancer cell culture models using a sensitive and reproducible ion-pair HPLC method.The experimental data were analyzed by principal component analysis(PCA)to identify potential biomarkers in cancer cells,and statistical significance was determined by one-way analysis of variance.As a result,a clear differentiation of normal and tumor cells into two clusters was shown,indicating abnormal metabolism of nucleotides in tumor cells.Six variables(AMP,UDP,CTP levels with a significance of Po0.05;ATP,UTP and GMP levels with a significance of Po0.01)were considered as potential biomarkers;the content of AMP,UTP,GMP and ATP was significantly higher in cancer cells.The receiver operating characteristic(ROC)curve analysis allowed us to discriminate normal cells from tumor cells based on area under the curve(AUC).The sequence of their AUC values were:ATP(0.979)4UTP(0.938)4CTP¼GMP(0.896)4AMP(0.812)4UDP(0.792),so we conclude that ATP and UTP are the best potential biomarkers in tumor cells.This study may provide a valuable tool for studying minute alterations of intracellular nucleotide pools induced by anticancer/antiviral drugs,diseases or environmental factors. | Chenchen Zhang Zheng Liu Xi Liu Lan Wei Yanjie Liu Jing Yu Lixin Sun | 2013 | Acta Pharmaceutica Sinica B2013，3，4： | 2 |
| 4 | In-memory computing based on phase change memory for high energy efficiency显示文摘The energy efficiency issue caused by the memory wall in traditional von Neumann architecture is difficult to reconcile.In-memory computing(CIM)based on emerging nonvolatile memory(NVM)is a promising solution to avoid data movement between storage and processors and realize highly energy-efficient computing.Compared with other NVM technologies,phase change random access memory(PCM)exhibits comprehensive performance for analog computing.In this paper,we review advanced PCM techniques,including phase-change materials,mechanisms,and unique properties,as a foundation and inspiration for implementing CIM architecture.Meanwhile,state-of-the-art PCM-based CIM systems are well discussed for high energy efficiency in artificial neural networks,spiking neural networks,and other artificial intelligence(AI)applications.Finally,we present the remaining challenges and potential solutions of CIM for further investigation. | Luchang HE Xi LI Chenchen XIE Zhitang SONG | 2023 | Science China(Information Sciences)2023，66，10： | 0 |
| 5 | Study on Air-Purifying Performance of Semi-Flexible Asphalt Samples Coated with Titanium Dioxide Using Different Methods显示文摘Titanium dioxide(TiO_(2))was recently employed to apply onto road surfaces to degrade the harmful compounds from vehicle emissions.However,it remains a challenging task to find a highly compatible pavement type for TiO_(2)application to achieve durable and efficient air-purifying performance.This study proposed to coat TiO_(2)particles onto semi-flexible pavement surface and tried to investigate an optimum coating method.Three coating methods,including direct mixing TiO_(2)(MT)with asphalt mixture,spraying dry TiO_(2)(ST)coating and watersolution-based TiO_(2)(WT)coating on semi-flexible pavement surface.To achieve this objective,semi-flexible samples were prepared to evaluate and compare the performances of three coating methods by employing resistance to wearing,NO removal efficiency tests and residual texture depth tests.It was found that the ST method not only provided better NO degrading efficiency but also improved the resistance to wearing than the other two methods. | Shoujing Yan Yangyang Wang Fengxia Chi Xue Luo Tianjie Zhang Chenchen Xi | 2022 | Journal of Renewable Materials2022，10，5： | 0 |
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