Lycium barbarum glycopeptide ameliorates aging phenotypes and enhances cardiac metabolism by activating the PINK1/Parkin-mediated mitophagy pathway in D-galactose-induced mice by Tianchan Peng, Jian Xiang, Yun Tian, Xiaogen Tang, Lina Wang, Lijuan Gao, Oscar Junhong Luo, Li’an Huang, Guobing Chen

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Les sociétés jbala et la nature by Yildiz Aumeeruddy-Thomas, Dominique Caubet, Younes Hmimsa, Ángeles Vicente

“…The present issue also shows great proximity between the inhabitants of the Rif region and nature, including complex social relations with intangible beings. …”
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Interference detection and diversity suppression algorithm of OFDM system under partial-band jamming by Guo LI, Ni WEN, Fengkui GONG, Jian ZHANG, Sihan ZHANG

“…For the currently widely-used OFDM system, which greatly improved the communication performance under the condition of partial-band jamming, an interference detection algorithm based on FCVE and an interference suppression algorithm based on frequency diversity were proposed.The threshold factor formula of FCVE algorithm was derived theoretically, and the interference detection threshold was calculated by using the threshold factor and the variance of the received signal, so as to achieve the interference detection with high accuracy.The simulation results show that the proposed FCVE algorithm significantly improves the interference detection probability of the classical FCME algorithm under the condition of high signal to interference ratio (SIR).Further, the interference can be greatly suppressed based on the idea of frequency diversity with the result of interference detection.The simulation results show that the bit error rate of the system can be reduced by two orders of magnitude under the same SIR.…”
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A survey of efficient deep neural network by Rui MIN

“…Recently,deep neural network (DNN) has achieved great success in the field of AI such as computer vision and natural language processing.Thanks to a deeper and larger network structure,DNN’s performance is rapidly increasing.However,deeper and lager deep neural networks require huge computational and memory resources.In some resource-constrained scenarios,it is difficult to deploy large neural network models.How to design a lightweight and efficient deep neural network to accelerate its running speed on embedded devices is a great research hotspot for advancing deep neural network technology.The research methods and work of representative high-efficiency deep neural networks in recent years were reviewed and summarized,including parameter pruning,model quantification,knowledge distillation,network search and quantification.Also,vadvantages and disadvantages of different methods as well as applicable scenarios were analyzed,and the future development trend of efficient neural network design was forecasted.…”
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Factors Affecting Herbicide Use in Fruits and Vegetables by C. E. Rouse, Peter J. Dittmar

“…Herbicide efficacy is greatly affected by timing and environmental conditions. …”
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The Critique and Examination of the Book: Islamic Thought 1 by Morteza Shajari

“…But unfortunately the book has not utilized great Islamic intellectuals’ opinions, namely Avicenna, Abu Hamid al-Gazali, Sheikh Ishraq, and Mulla Sadra. …”
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Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Qing Li

“…The neural network is of great help to financial accounting. Integrating it into parallel bookkeeping in accounting can improve the work efficiency and accuracy of financial personnel. …”
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A Multiuser Subcarrier and Power Allocation Scheme to Improve the Performance of Cell Edge Users by Jianwu Zhang, Fang Li, Fangmin Xu

“…To restrain the inter cell interference effectively and greatly enhance the performance of wireless networks especially the performance of cell edge users is one of the goals of 5G mobile communication system. …”
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Denis Papin : sa vie, son œuvre by Vivier, Bernard

“…He was very interested in science, and worked as an assistant to a number of great scientists, including Christian Huygens and Robert Boyle. …”
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Current Concepts of Fracture-Related Infection by Si-ying He, Bin Yu, Nan Jiang

“…Currently, fracture-related infection (FRI) still represents great challenges in front of orthopaedic surgeons, despite great advances that have been achieved regarding its diagnosis and treatment. …”
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Multiple Sulfatase Deficiency (MSD): Review of the Literature and Case Reports of Two Siblings with Dental Caries and Trauma by Lorna Hirst, Gehan Abou-Ameira, Mari-Liis Uudelepp

“…This paper presents two siblings with multiple sulfatase deficiency who presented to the Paediatric Dental Department at Great Ormond Street Hospital, requiring comprehensive care under general anaesthesia for dental caries and trauma.…”
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Factors Affecting Herbicide Use in Fruits and Vegetables by C. E. Rouse, Peter J. Dittmar

“…Herbicide efficacy is greatly affected by timing and environmental conditions. …”
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Making Muslim Women Political : Imagining the Wartime Woman in the Russian Muslim Women’s Journal Suyumbika by Danielle Ross

“…While much of the scholarly literature on religious, cultural, and education reform in Russia’s Muslim communities has viewed the change in women’s roles to be a decades-long process, this article argues that in the brief period of the Great War, the ideal vision of the Volga-Ural Muslim woman underwent more profound changes than it had in the previous decades. …”
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De Novo Interstitial Microdeletion at 1q32.1 in a 10-Year-Old Boy with Developmental Delay and Dysmorphism by Jennifer Carter, Melinda Zombor, Adrienn Máté, László Sztriha, Jonathan J. Waters

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Rotala: A New Aquatic Invader in Southern Florida by Lyn A. Gettys, Carl J. Della Torre

“…Extremely dense submersed populations and large thick mats dominate the surface of the water, greatly reducing ecosystem services, because oxygen level and light penetration are hampered. …”
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An Improved RSSI-Based Positioning Method Using Sector Transmission Model and Distance Optimization Technique by Haiping Zhu, Talal Alsharari

“…Moreover, this study also proves that the node position has great influence on the positioning accuracy.…”
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Data sharing scheme for 5G IoT based on blockchain by Kang QIAO, Wei YOU, Lingwei WANG, Hongbo TANG

“…The massive amount of IoT data has great value,but the existing cloud-based data sharing mechanism faces problems such as single points of failure and internal leakage,which can not ensure the secure sharing of user data.In order to achieve efficient and reliable data sharing,the blockchain technology was used to propose a 5G IoT data sharing scheme based on blockchain.Firstly,the proposed scheme designed data sharing framework and data sharing process,based on the lightning network solution,an off-chain transaction mechanism for data sharing of the internet of things was proposed.Experimental analysis shows that the 5G IoT data sharing framework based on blockchain has strong anti-attack ability and the off-chain transaction mechanism based on lightning network can greatly increase transaction throughput and reduce transaction delay.…”
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Inflammation and Oxidative Stress in Diabetic Nephropathy: New Insights on Its Inhibition as New Therapeutic Targets by Akira Mima

“…Diabetes and insulin resistance can greatly increase microvascular complications of diabetes including diabetic nephropathy (DN). …”
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Research on the Classification of Policy Instruments Based on BERT Model by Jiani Zhao, Cheng Li

“…Currently, policy instruments are classified mainly by means of manual encoding and checking, which is highly subjective and inefficient, which greatly hinders the development of policy research. …”
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Design of event-triggered state estimator with unknown input in wireless sensor networks by Cheng-han XIE, Sai-jie LU, Yun-ji LI, Li PENG

“…With the development of sensors and wireless network technology,a series of new applications based on the wireless sensor has been merged in the past decades.Too much energy consumption and over-abundant occupancy rates of bandwidth are great challenges in these new applications,thus,it is of great practical significance to study the energy saving of the data transmission among these nodes.An estimator with the corresponding event-triggered transmission scheme was investigated for a class of discrete-time stochastic systems subject to unknown input.Its features satisfied the characteristic of unbiased and minimum variance was designed and then the proposed event-triggered strategy,which decided the transfer time of the data packet,can be used to reduce the number of data transmission.Furthermore,an upper bound of system performance was derived for obtaining the parameters of event scheme in details.Finally,a numerical example was given to verify the potential and effectiveness of the proposed theoretical result.…”
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