Symplectic method for the influence of surface effect on thermal buckling of graded porous nanobeams by LI Qinglu, NIU Xiaojie, ZHANG Jinghua

“…By using bifurcation conditions and normalization methods, the critical buckling temperature rise for buckling modes and nano-beams was analytically determined. Finally, the influence of surface effects on the thermal buckling of gradient porous nano-beams was presented in the form of a chart. …”
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Selection of key urban defense areas based on regional comprehensive risk assessment by WEI Hua, WANG Xiaoxia, YANG Fengbao, JIA Qi

“…Then, according to the centroid theory, the weighted centroid calculation model of target distribution is constructed, and the dispersion matrix is established to calculate the dispersion of regional target distribution. Finally, the regional comprehensive risk assessment function is constructed according to the area of risk radar map, and the comprehensive risk of each region is quantitatively assessed according to the target situation of districts I to VI of a city. …”
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Adenosine Inhibits the Release of Arachidonic Acid in Activated Human Peripheral Mononuclear Cells. A Proposed Model for Physiologic and Pathologic Regulation in Systemic Lupus Ery... by Sándor Sipka

“…In the current work, the pathways are presented and reviewed showing how adenosine acts on the production and release of arachidonic acid (AA) in activated human monocytes by the involvement of various phospholipase A2 (PLA2) and protein kinase C (PKC) enzymes in physiological (normal) conditions and in a pathologic state in systemic lupus erythematosus (SLE). …”
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The Reporter System for GPCR Assay with the Fission Yeast Schizosaccharomyces pombe by Shintaro Sasuga, Toshiya Osada

“…We also evaluated the time- and dose-dependent GFP productions of the strains transformed with the reporter plasmids. Finally, we exhibited a model of simplified GPCR assay with the reporter plasmid by expressing endogenous GPCR under the control of the foreign promoter.…”
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Residual trio feature network for efficient super-resolution by Junfeng Chen, Mao Mao, Azhu Guan, Altangerel Ayush

“…Moreover, the multiple RTFBs are combined to construct the residual trio network (RTFN). Finally, we introduce a localized contrast loss for better applicability to the super-resolution task, which enhances the reconstruction quality of the super-resolution model. …”
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Influential Factors and Synergies for Radiation-Gene Therapy on Cancer by Mei Lin, Junxing Huang, Yujuan Shi, Yanhong Xiao, Ting Guo

“…Radiation-gene therapy, a dual anticancer strategy of radiation therapy and gene therapy through connecting radiation-inducible regulatory sequence to therapeutic gene, leading to the gene being induced to express by radiation while radiotherapy is performed and finally resulting in a double synergistic antitumor effect of radiation and gene, has become one of hotspots in the field of cancer treatment in recent years. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Incremental Explosive Analysis and Its Application to Performance-Based Assessment of Stiffened and Unstiffened Cylindrical Shells Subjected to Underwater Explosion by Masoud Biglarkhani, Keyvan Sadeghi

“…The statistical treatment of the obtained multi-IEA curves is performed to summarize the results in a predictive mode. Finally, the fragility curves as damage probability indicators of shells in UNDEX loading are extracted. …”
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Explaining the Effective Factors on Digital Transformation Strategies in the Telecom Industry of Iran Using the Delphi Method by Jamal Aghayari, Changiz Valmohammadi, Mahmood Alborzi

“…In the end, 6 components and 20 indicators were finalized and identified as indicators of high importance.…”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…An extreme Gradient Boosting Tree (XGBoost) is used to integrate word vectors and a Large Language Model (LLM) to construct a sentiment recognition model, and finally, a review sentiment index is derived, which unfolds from multiple dimensions to analyze the sentiment tendency in consumer reviews. …”
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Learning attribute network algorithm based on high-order similarity by Shaoqing WU, Yihong DONG, Xiong WANG, Yan CAO, Yu XIN

“…Due to the lack of deep-level information mining and utilization in the existing network representation learning methods,the potential pattern structure similarity was proposed by further exploring the potential information in the network.The similarity score between network structures was defined to measure the similarity between various structures so that nodes could cross irrelevant vertices to obtain high-order similarities on the global structure.In order to achieve the best effect,deep learning was used to fuse multiple information sources to participate in training together to make up for the deficiency of random walks.In the experiment,Lap,DeepWalk,TADW,SDNE and CANE were selected as comparison methods,and three real-world networks were used as data sets to verify the validity of the model,and experiments of node classification and link reconstruction are carried out.In the node classification,the average performance is improved by 1.7 percentage points for different datasets and training proportions.In the link reconstruction experiment,only half the dimension is needed to achieve better performance.Finally,the performance improvement of the model under different network depths was discussed.By increasing the depth of the model,the average performance of node classification increased by 1.1 percentage points.…”
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Inverse and Forward Kinematics and CAD-Based Simulation of a 5-DOF Delta-Type Parallel Robot with Actuation Redundancy by Pavel Laryushkin, Anton Antonov, Alexey Fomin, Oxana Fomina

“…A numerical example presents four assembly modes of the robot corresponding to four real solutions of the forward kinematic problem. Finally, this article demonstrates a computer-aided design and analysis of the proposed robot: we describe a procedure for analyzing inverse kinematics and calculating actuation torques. …”
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Fog-aided identity privacy protection scheme for sensing users in mobile crowd sensing by Hui LIU, Renwan BI, Jinbo XIONG, Mingfeng ZHAO, Biao JIN, Jie LIN

“…In mobile crowd sensing(MCS),attackers can reconstruct the social circle among sensing users,who use the social association information among sensing users and the correlation between the sensing user’s identity and sensing data to further attack a social alliance.In order to tackle this issue,a fog-aided identity privacy protection scheme is proposed.Firstly,two fog nodes are introduced which located at the edge of the sensing terminal.The one is task allocation center (TC) for handling the reasonable allocation of sensing tasks,and the other is data center (DC) for calculating sensing data.Furthermore,differential privacy is employed for preventing attackers from acquiring the specific social association weight of sensing users.Finally,in order to prevent attackers from obtaining the sensing users' identity information and sensing data at the same time,sensing users use different blind identities to communicate with TC and DC.Security analysis indicates that the proposed scheme can ensure the security of identity privacy information of sensing users in the process of completing sensing tasks.Experimental results show that the proposed scheme can protect the social association information between sensing users,and has a low delay.…”
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Resource elements of the national blue economic system and their development mechanisms: a case study of China by Xiaofei Qi

“…Second, the development mechanism of the national blue economic system is qualitatively explored based on the intra-agent relevance at a single level and the interagent relevance at a cross level. Finally, an example from China is used to guide its blue economy in practice. …”
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Numerical Simulations of Chemical-Assisted Steam Flooding in Offshore Heavy Oil Reservoirs after Water Flooding by Wei Zheng, Tingen Fan, Xianhong Tan, Weidong Jiang, Taichao Wang, Haojun Xie

“…Then, a comparison of CASF and various thermal methods was made to assess the feasibility of CASF in an offshore heavy reservoir of Bohai Bay, China. Finally, sensitivity analysis was performed to evaluate the effects of the gas-liquid ratio, foaming agent concentration, surfactant concentration, the size of nitrogen foam slug, the size of surfactant slug, and the number of chemical injection round on CASF performance by the developed model. …”
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Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

“…Computational experiments and results using the three solution approaches are also presented. Finally, a case study on the design of electrical transportation systems was presented and solved.…”
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Improved Entropy-Based Condition Monitoring for Pressure Pipeline Through Acoustic Denoising by Yu Wan, Shaochen Lin, Chuanling Jin, Yan Gao, Yang Yang

“…The results indicate that the quality of signal denoising can reach over 3 dB, while the accuracy of condition monitoring is about 92% for different conditions. Finally, the superiority of the proposed method is verified by comparing it with other methods.…”
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On Risk Assessment for Out-of-Distribution Detection by Anton Vasiliuk

“…Our theoretical findings clearly distinguish when OOD detection is essential and when it becomes redundant, allowing efforts to be directed towards improving ID performance once adequate OOD robustness is achieved. Finally, an analysis of popular computer vision benchmarks reveals that ID errors often dominate overall risk, highlighting the importance of strong ID performance as a foundation for effective OOD detection. …”
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Role of Thyroid Hormone in Neurodegenerative Disorders of Older People by Arshag D. Mooradian, Michael J. Haas

“…The effect of THRP on cell viability is not modulated by c-Abl tyrosine kinase. The causal relationship between specific biochemical perturbations in cerebral tissue and thyroid dysfunction remains to be elucidated.…”
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Development an Artificial Neural Network Model for Estimating Cost of R/C Building by Using Life-Cycle Cost Function: Case Study of Mexico City by Henry E. Reyes, Juan Bojórquez, Laura Cruz-Reyes, Sonia E. Ruiz, Alfredo Reyes-Salazar, Edén Bojórquez, Manuel Barraza, Antonio Formisano, Omar Payán, José R. Torres

“…The methodology is applied to a set of reinforced concrete buildings with 4, 8, and 12 stories which are located at the soft soil of Mexico City. Finally, it is concluded that the life-cycle cost is efficiently obtained using artificial neural network models for estimating the structural reliability of reinforced concrete buildings, in such a way that it can be used as an excellent planning tool that covers long spans of time.…”
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