Power Grid Load Forecasting Using a CNN-LSTM Network Based on a Multi-Modal Attention Mechanism by Wangyong Guo, Shijin Liu, Liguo Weng, Xingyu Liang

“…To achieve accurate and efficient short-term load forecasting, this study proposes a novel power grid load forecasting model that integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), Multi-Head Self-Attention Mechanism (MHSA), Global Attention Mechanism (GAM), and Channel Attention Mechanism (CAM) to achieve efficient and precise short-term load forecasting. …”
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Key technologies for preparation and multi scene utilization of multi-source solid waste based carbon fixation mining materials by Lang LIU, Lei XIA, Shuangming WANG, Zhiyu FANG, Mengbo ZHU, Wei HE, Yuheng GAO

“…The basic properties (flow performance, strength performance, carbon fixation ability) and carbon fixation mechanism of the modified magnesium coal based solid waste carbon fixation mining materials under different liquid-solid ratios were studied.The results show that when the liquid-solid ratio is greater than 0.23, the material meets the backfill flow performance requirements, and the maximum 28 days compressive strength can reach 6.18 MPa; The mineralization efficiency of direct mineralization mixing for 10 minutes reached 50.7%. …”
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Increasing the Wear Resistance of Stamping Tools for Coordinate Punching of Sheet Steel Using CrAlSiN and DLC:Si Coatings by Sergey N. Grigoriev, Marina A. Volosova, Ilya A. Korotkov, Vladimir D. Gurin, Artem P. Mitrofanov, Sergey V. Fedorov, Anna A. Okunkova

“…This work describes the efficiency of complex CrAlSiN/DLC:Si coatings deposited using a hybrid unit combining physical vapor deposition and plasma-assisted chemical vapor deposition technologies to increase the wear resistance of a punch tool made of X165CrMoV12 die steel during coordinate punching of 4.0 mm thick 41Cr4 carbon structural steel sheets. …”
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Reliability growth model of quantum direct current electricity meter software based on optimization network by TIAN Teng, QIU Rujia, ZHAO Long, GENG Jiaqi, WANG Enhui, SUN Yu

“…This improves the modeling efficiency by 18 times and significantly improves global optimization ability of the back propagation neural network. …”
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Automatic setting optimization for robotic upper-extremity rehabilitation in patients with stroke using ReoGo-J: a cross-sectional clinical trial by Takashi Takebayashi, Yuki Uchiyama, Kazuhisa Domen

“…The results were analyzed using the graded response model, an extension of the two-parameter logistic model within the framework of the item response theory, to grade the training items based on ability of the patients. The relationship between the predicted ability, an indicator of the predicted ability the paralyzed upper-extremity to perform an item in the item response theory analysis (higher numbers indicate higher ability, lower numbers indicate lower ability), and the items in the Fugl–Meyer assessment (FMA), which indicate the degree of paralysis, was analyzed using Pearson’s correlation coefficient. …”
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Enhancing Unmanned Aerial Vehicle Path Planning in Multi-Agent Reinforcement Learning through Adaptive Dimensionality Reduction by Haotian Shi, Zilin Zhao, Jiale Chen, Mengjie Zhou, Yang Liu

“…Unmanned Aerial Vehicles (UAVs) have become increasingly important in various applications, including environmental monitoring, disaster response, and surveillance, due to their flexibility, efficiency, and ability to access hard-to-reach areas. …”
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Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression. by Priya Sudarsanam, Barak A Cohen

“…We compared the ability of these QTN to explain the variation in both gene expression and sporulation efficiency. …”
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Adaptive building engineering component extraction model based on DSOD by Na Lv, Xuan Yang

“…In summary, it can be seen that the adaptive extraction model of building components constructed by the research has excellent information extraction performance, not only can it improve the efficiency of extracting engineering components, but it can also significantly enhance the decision support ability in construction management, optimize resource allocation, reduce risks, and improve the management efficiency of engineering projects. …”
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Impact of an improved random forest-based financial management model on the effectiveness of corporate sustainability decisions by Jianhui Zhang

“…The results show that after the improvement of synthetic minority oversampling technique, the stochastic forest model can effectively improve the recognition and early warning ability of enterprises’ financial distress, and is conducive to maintaining good operating efficiency and sustainable operation of enterprises. …”
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Can generative AI craft scale items? A mixed-method study on AI's capability to adapt and create new scales with recommendations for best practices by Mohammed Salah, Fadi Abdelfattah, Hussam Al Halbusi, Suaad Jassem, Muna Mohammed, Maria Mohd Ismail, Amira Al Balghouni

“…Quantitative analysis confirmed the reliability and validity of the AI-generated scales, while expert evaluations highlighted the model's ability to enhance methodological efficiency and reduce bias. …”
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Impacts of extraction solvents and processing techniques on phytochemical composition and antioxidant property of mulberry (Morus spp.) leaves by Chiu-Hsun Liao, Hong-Xuan Fu, Kai-Hsiang Tu, Ji-Hong Zheng, Chia-Hung Shih, Yung-Sheng Lin

“…Specifically, the extraction efficiency of 70% ethanol under high-temperature conditions resulted in the highest efficiency, with total phenolic content reaching 60.1 ± 1.1 mg gallic acid equivalent/g dry weight, total flavonoid content at 14.8 ± 0.1 mg quercetin equivalent/g dry weight, DPPH scavenging ability of 447.8 ± 11.1 μg/mL (IC50), ABTS scavenging ability of 835 ± 6 μg/mL (IC50), and ferric-reducing antioxidant power of 41.1 ± 1.2 mg butylated hydroxyanisole equivalent/g dry weight. …”
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Micropore Throat Structure and Movable Fluid Characteristics of Chang 63 Tight Sandstone in Baibao Area of Ordos Basin by Bobiao Liu, Chengqian Tan, Yinchao Huai, Nan Wang, Han Zhang, Zhao Feng

“…The mean oil flooding efficiency was 40.2%. (4) The better the pore-throat relationship, the lower the T2 cutoff, the stronger ability of the fluid migration ability, and the higher of a percentage of active fluid. …”
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The Research on Precise Monitoring Methods for Grain Planting Areas Based on High-precision UAV Remote Sensing Images by XU Chang, WANG Chunxiao, LIU Lu, YAN Xiaobin, LIU Xiaojuan, Chen Hui, CHENG Mingxing, FAN Yewen

“…The experimental results show that, on the basis of balancing cost, efficiency, and accuracy, the Deeplabv3+ and PSPNet models combined with remote sensing image data of 8 cm resolution are more suitable for monitoring and extraction of rice cultivation areas, and PSPNet has a stronger few-shot learning ability. …”
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Computational design exploration of rocket nozzle using deep reinforcement learning by Aagashram Neelakandan, Arockia Selvakumar Arockia Doss, Natrayan Lakshmaiya

“…This underscores DRL's ability to autonomously explore unconventional geometries, leading to significant improvements in structural efficiency and material savings. …”
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Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model by ZHANG Jingke, YANG Kai, LI Chao, WANG Hongyan

“…Furthermore, by incorporating prior knowledge associated with the interference domain into the reward function of the PPO model using revenue shaping theory, a reshaped reward function was obtained to guide agent converge quickly so as to improve decision-making efficiency. Besides, leveraging LSTM’s excellent temporal feature extraction ability enables capturing dynamic characteristics of echo data effectively to describe radar working states. …”
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The treatment of Slaughterhouses wastewater by An Up Flow - Anaerobic Sludge Blanket (UASB) reactor. by Abdullah Saghir, Salwa Hajjar

“…Theremoval efficiency fit with hydraulic retention times (HRTs) in UASB reactor, forthe following values of HRTs:(6,12,18,24,30,36) hours, the removal efficiencies of COD were:(35.78%,48.93%,56.15%,71.3% ,76.33%,83.37%) respectively.…”
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Economic Policy Uncertainty and Chinese Stock Market Volatility: A CARR-MIDAS Approach by Xinyu Wu, Tianyu Liu, Haibin Xie

“…Intraday range (the difference between intraday high and low prices) is often used to measure volatility, which has proven to be a more efficient volatility estimator than the return-based one. …”
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The control of movement gradually transitions from feedback control to feedforward adaptation throughout childhood by Laura A. Malone, Nayo M. Hill, Haley Tripp, Vadim Zipunnikov, Daniel M. Wolpert, Amy J. Bastian

“…Abstract The ability to adjust movements in response to perturbations is key for an efficient and mature nervous system, which relies on two complementary mechanisms — feedforward adaptation and feedback control. …”
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Stochastic Multiple Chaotic Local Search-Incorporated Gradient-Based Optimizer by Hang Yu, Yu Zhang, Pengxing Cai, Junyan Yi, Sheng Li, Shi Wang

“…Meanwhile, chaotic local search (CLS) is an efficient search strategy with randomicity and ergodicity, which is usually used to improve global optimization algorithms. …”
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Acrolein impairs the cholesterol transport functions of high density lipoproteins. by Alexandra C Chadwick, Rebecca L Holme, Yiliang Chen, Michael J Thomas, Mary G Sorci-Thomas, Roy L Silverstein, Kirkwood A Pritchard, Daisy Sahoo

“…Further, in contrast to native HDL, acro-HDL promotes higher neutral lipid accumulation in murine macrophages as judged by Oil Red O staining. The ability of acro-HDL to mediate efficient selective uptake of HDL-cholesteryl esters (CE) into SR-BI-expressing cells was reduced compared to native HDL. …”
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