MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

“…Furthermore, the adaptive cross-modality feature fusion module aligns video and language information by using object relationship knowledge as guidance to learn vision-language representation. Finally, the future event description generation module decodes the fused information and generates the language description of the next event. …”
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Mechanism of hyperbaric oxygen therapy downregulating H-type angiogenesis in subchondral bone of knee osteoarthritis through the PHD2/HIF-1α pathway by Jianjian Wang, Wen Yu, Yuxin Zhang, Bo Chen, Zhaoxiang Meng

“…The activation relationship between PHD2 and downstream signaling pathways was investigated through gene knockout and overexpression experiments. Finally, cell scratch assays, tube formation assays, and chondrogenic differentiation experiments were conducted to verify the mechanism of the PHD2/HIF-1α signaling pathway under hyperbaric oxygen stimulation. …”
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Blockchain network layer anomaly traffic detection method based on multiple classifier integration by Qianyi DAI, Bin ZHANG, Song GUO, Kaiyong XU

“…To improve the comprehensive generalized feature perception ability of mixed attack traffic on the blockchain network layer, and enhance the performance of abnormal traffic detection, a blockchain layer traffic anomaly detection method was proposed that supported the comprehensive judgement of data anomaly with a strong generalisation capability.Firstly, to expand the difference of the input feature subset of the base classifier used, a feature subset selection algorithm based on discrimination degree and redundant information was proposed, and the output of high sensitivity subset terms was stimulated during the feature screening process, while the generation of redundant information was suppressed.Then, the stochastic variance reduction gradient algorithm was introduced into the bagging integration algorithm to realize the dynamic adjustment of the voting weights of each base modeland improve thecapability in detecting the generalised hybrid abnormal attack traffic.Finally, LBoF algorithm was proposed to map the low-dimensional numerical vector output by the integrated algorithm to a high-dimensional space.The discrepancy of data point spatial density distribution of various samples were amplified based on the potential difference between data points to increase the recall rate of anomalous data point detection.The experimental results show that in detecting multiple hybrid attack traffic on blockchain layers, the proposed method presents an increase in the anomaly detection accuracy and recall rate, which is 1.57% and 2.71%, respectively, compared with methods based on a single classifier integration.…”
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Silica Induces Changes in Cytosolic Free Calcium, Cytosolic pH, and Plasma Membrane Potential in Bovine Alveolar Macrophages by Attila Tárnok, Thomas Schlüter, Ingeborg Berg, Günther Gercken

“…Furthermore the calcium signal was quenched by Mn2+ and diminished by the calcium channel blocker verapamil. The protein kinase C specific inhibitor bisindolylmaleimide II (GF 109203 X) did not inhibit the silica‐induced [Ca2+]i rise. …”
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Fault Diagnosis of Subway Traction Motor Bearing Based on Information Fusion under Variable Working Conditions by Yanwei Xu, Weiwei Cai, Tancheng Xie

“…Then, the original signal is processed and extracted by the wavelet packet decomposition, and the normalized feature information is fused by the convolution neural network. Finally, the two-dimensional convolution neural network model is established to diagnose the bearing fault of the metro traction motor under different conditions. …”
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Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory by Cheng Feng, Chuang Han, Wenxing Duan, Wei Wang, Yuntao Zhong, Ziyan Feng, Ning Zhang

“…The average relative errors of estimated resistivity indices and experimental results are smaller than 8%, and those of the regressed saturation index are smaller than 5%. Finally, the established model was applied in log data processing and interpretation with good effects. …”
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Research on Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Extracting Transform by Qi Liu, Yanxue Wang

“…The analysis of simulation signals verified the feasibility of the method. Finally， by analyzing the actual bearing signals， it is found that the proposed method is more effective than the previous time-frequency analysis methods.…”
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Real-Time Forestry Pest Detection Method Based on Enhanced Feature Fusion with Deep Learning by Rui Li, Tong Liu, Yalu Ren

“…To address the degradation of the anchor box position regression loss in the original method, DIOULoss is introduced to optimize the position regression loss function of the anchor box. Finally, data augmentation is performed on a relatively small number of samples in the dataset, the accuracy of the model is improved by 1.94%, the FPS is improved to 1.6 times of the original one, and the training time is slightly increased compared with the preinnovation model. …”
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Cyber Physical Security of Distributed Energy Resources by Luka Strezoski, Zorana Babic, Dejan Milojicic

“…We continue with analyzing the accompanying consequences to the safety and reliability of emerging Smart Grids. Finally, we present our idea of Digital Twin technology as a tool for assisting distribution system operators and grid engineers, to detect, attenuate, and prevent malicious cyber-attacks in DERs.…”
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Strasbourg : la frontière à l’œuvre dans la construction du projet urbain des Deux-Rives by Éric Chenderowsky

“…The Rhine is of emblematic importance for the city of Strasbourg, symbolising how it belongs to a specific culture and to a history marked by the history of the conflicts between France and Germany, by changes of nationality and, finally, over the past thirty years, by the city’s European vocation. …”
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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals by Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, Mustafa Akkuş, Sevler Yıldız

“…Afterwards, the classification process was finalized with 95% ResNet-18, and 83% EfficientNet models, respectively. …”
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Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…Hot nodes are found based on density clustering. Finally, a case study is conducted based on the Shenzhen construction waste transportation system. …”
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Research on energy efficiency optimization assisted by active reconfigurable intelligent surface in high-speed railway scenarios by DING Qingfeng, ZOU Zhixiang

“…Through the utilization of Lagrange dual transformation and quadratic transformation from fractional programming theory, the non-convex problem was transformed into a convex optimization problem. Finally, an alternating optimization algorithm was proposed for the joint optimization of beamforming and the phase-shift matrix of the active RIS. …”
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<i>VFL-Cafe</i>: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection by Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee Wei Tan

“…Theoretical analysis is then conducted to provide guidance on cache configuration, optimizing performance. Finally, extensive experimental results validate <i>VFL-Cafe</i>’s efficacy, demonstrating remarkable improvements in communication efficiency and model accuracy.…”
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Del Vaingka al Choqueo. Sociabilidad y ritual de los angaité a partir de la colonización del Chaco (1880) by Rodrigo Villagra Carron

“…Following this, I describe the Vaingka and explain how this ritual was an occasion of maximum social and productive interaction between the villages and pre-colonial Angaité groups. Finally, I refer to the Choqueo as somehow a substitute of the Vaingka with regards to its social effects, and as a feasible mechanism of dealing with social and ethnic asymmetry in front of the Chaqueños.…”
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Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
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Research on Coal-Rock Fracture Image Edge Detection Based on Tikhonov Regularization and Fractional Order Differential Operator by Chunsheng Liu, Chunping Ren

“…To deal with the problem, the Tikhonov regularization method is adopted to reconstruct the input coal-rock infrared images, so as to reduce the noise interference, and then, the reconstructed image is transformed by gray level. Finally, we consider the frequency characteristics and long memory properties of fractional differential, the classical first-order Sobel and second-order Laplacian edge detection algorithms are extended to fractional order pattern, and a new pattern of fractional order differential image edge detection is constructed to realize the coal-rock fracture edge features identification. …”
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Chemical Process Fault Diagnosis Based on Improved ResNet Fusing CBAM and SPP by Xiaochen Yan, Yang Zhang, Qibing Jin

“…This module can effectively reduce the interference of invalid targets and improve the characterization ability of the model. Finally, based on the backbone path of the network, the branching path after spatial pyramid pooling (SPP) is introduced to enable the network to extract features from different angles of the feature map and further aggregation, which improves the robustness of the model. …”
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Usefulness of Low-Dose Splenic Irradiation prior to Reduced-Intensity Conditioning Regimen for Hematopoietic Stem Cell Transplantation in Elderly Patients with Myelofibrosis by Etsuko Matsubara, Jun Yamanouchi, Riko Kitazawa, Taichi Azuma, Hiroshi Fujiwara, Takaaki Hato, Masaki Yasukawa

“…The Janus kinase (JAK) 1 and 2 inhibitor, ruxolitinib, was recently approved in Japan and has been effective in many patients with myelofibrosis (MF). …”
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Corrosion behavior of TC18 titanium alloy with different initial microstructures in salt spray by Hui Li, Baogang Wang, Junsheng Yang, Xiaopeng Liu, Jianyi Zhang, Ruiqi Ye

“…The pitting corrosion resistance of TC18 titanium alloy can be effectively enhanced by its initial equiaxed microstructure, which has a smaller grain size, as evidenced by microstructural analysis, electrochemical impedance spectroscopy (EIS) results, and complementary evaluation analysis of Tafel polarization curves. Finally, a comprehensive discussion of the salt spray corrosion mechanism of TC18 titanium alloy is provided. …”
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