Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…In terms of transient amplitude and phase, the proposed method can control the error within 2.0. Ensure the efficiency and practical application effectiveness of cloud computing resource scheduling algorithms.…”
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The informatics pathway for hospital infection quality control monitoring by Hui Wang, Qin Huang, Qingqing Tian, Weiwei Yang, Anran Liu, Jiayang Tang, Hailin Zhang, Chunlin Wu

“…While the number of reports increased, the accuracy of the reports decreased from 67.54 to 54.05% (p < 0.05).ConclusionInformation systems can enhance the efficiency of hospital infection surveillance through real-time monitoring and automatic early warning, improve the quality of reporting, and thereby contribute to the reduction of the incidence rate of hospital infections. …”
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Algorithms and probabilistic models of parameters of operation of in-plant power supply by E. I. Gracheva, O. V. Naumov, A. N. Gorlov, Z. M. Shakurova

“…To develop algorithms for evaluating the parameters of the efficiency of the functioning of the systems of intra-plant power supply. …”
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Enhanced biological treatment of sandy soils through the application of chicken manure as a supplementation material by Moein Khoshdel Sangdeh, Payam Zanganeh Ranjbar, Meghdad Payan, Mahyar Arabani

“…., urea) to provide the necessary carbon and nitrogen for the MICP process. To this end, different CM contents (5 %, 10 %, and 15 %) along with various concentrations of cementation solution (1 M, 1.5 M, and 2 M) are employed in multiple improvement cycles to augment the efficiency of the MICP technique. …”
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Identification breeds equity: the regulation effect of group decision-making on beauty premium by Lu Cheng, Qingguo Ma, Yijin He, Yulin Tan, Linanzi Zhang, Wenwei Qiu

“…Controlling the impact of this bias can improve the fairness and efficiency of decision-making. Studies have shown that group decision-making is more rational and objective than individual decision-making. …”
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Effects of Dietary Katuk Leaf Extract on Growth Performance, Feeding Behavior and Water Quality of Grouper Epinephelus coioides by Agus Putra A. S, Urip Santoso, Meng Chou Lee, Fan Hua Nan

“…However, no statistical differences were observed on the survival rate, condition factor, viscerosomatic index and hepatosomatic index. …”
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Research on Mechanical Properties of Non-Directly Welded Reinforced Casings Under High Stress Ratio by Yiwei Fang, Yuming Li, Kuntao Xing, Zhe Liu

“…The method maintains over 75% of its efficiency even at initial stress ratios up to 0.8. …”
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Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…By using persistent homology, we extract topological descriptors that convey stable structural information across different modalities, addressing the issues of sparsity and redundancy. …”
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The Wavelength Characteristics of Vertical Deformation and a Train Dynamics Simulation of Long-Span, Cable-Stayed Bridges Under Complex Loads by Zhiqiang Pang, Mangmang Gao, Guolong Li, Jingjing Yang, Fei Yang

“…The influence of the wavelength of the cosine wave on the track–bridge mapping of different orbital structures was explored. The wavelength characteristics of vertical deformation under complex loads were investigated. …”
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Autocorrelation Method for Phased Antenna Array Calibration Based on Far-Field Measurement System by Xuan Luong Nguyen, Nguyen Trong Nhan, Tran Van Thanh, Phung Bao Nguyen

“…Therefore, the impact of different interference levels on the calibration accuracy of PAA should be investigated. …”
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Toward an active exoskeleton with full energy autonomy by Yakir Knafo, Yakir Knafo, Yinjie Zhou, Avi Manor, Alon Osovizky, Alon Osovizky, Raziel Riemer

“…Therefore, the cycle efficiency of the exoskeleton system (return divided by harvesting) is 72.3%. …”
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Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms by Parul Dubey, Pushkar Dubey, Celestine Iwendi, Cresantus N. Biamba, Deepak Dasaratha Rao

“…It combines the feature extraction capabilities of ResNet50 with the efficiency of MobileNetV2. The HFSO algorithm optimizes crucial parameters such as detection thresholds and learning rates. …”
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Performance Ratio Estimation for Building-Integrated Photovoltaics—Thermal and Angular Characterisation by Ana Marcos-Castro, Carlos Sanz-Saiz, Jesús Polo, Nuria Martín-Chivelet

“…Among the different parameters affecting <i>PR</i>, module temperature and the angle of incidence of irradiance are the most dependent on the BIPV application due to the varied module positioning. …”
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Enhancing plant drought tolerance through exogenous nitric oxide: a comprehensive meta-analysis by Yang Lei, Shuichun Chen, Lihong Xu, Yumin Zhang, Yuhua Yang

“…The heterogeneity of NO's effects under different conditions highlights the importance of improving application methods, concentrations, and environmental conditions. …”
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Network algebraization and port relationship for power‐electronic‐dominated power systems by Rui Ma, Xiaowen Yang, Meng Zhan

“…As all independent variables have been kept in the model, it is found that they show the same computational accuracy, but better efficiency in computational time, compared to the electromagnetic‐transient simulation results.…”
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Simulation-Based Optimization Workflow of CO₂-EOR for Hydraulic Fractured Wells in Wolfcamp A Formation by Dung Bui, Duc Pham, Son Nguyen, Kien Nguyen

“…After the primary production phase, various CO₂ injection rates were tested from 1 to 25 MMSCFD/well, resulting in incremental oil recovery ranging from 6.3% to 69.3%. Different injection, soaking and production cycles were analyzed to determine the ideal operating condition. …”
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Semi-Active Suspension Design for an In-Wheel-Motor-Driven Electric Vehicle Using a Dynamic Vibration-Absorbing Structure and PID-Controlled Magnetorheological Damper by Kyle Samaroo, Abdul Waheed Awan, Sheikh Islam

“…The in-wheel motor (IWM) powertrain layout offers greater design flexibility and higher efficiency of an electric vehicle but has limited commercial success mainly due to the concerns of increased unsprung mass. …”
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Prediction of Input–Output Characteristic Curves of Hydraulic Cylinders Based on Three-Layer BP Neural Network by Wei Cai, Yirui Zhang, Jianxin Zhang, Shunshun Guo, Rui Guo

“…The maximum allowable time allocated for directional valve switching and fluid buffering in the hydraulic system is extended to 74.57 ms, achieving the objective of enhancing both displacement control accuracy and operational efficiency.…”
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Relative Applicability of Diverse Automatic Speech Recognition Platforms for Transcription of Psychiatric Treatment Sessions by Rana Zeeshan, John Bogue, Mamoona Naveed Asghar

“…DER was notably lower for clips with speakers of differing genders or ages, but negatively increased for speakers of similar demographics. …”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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