CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. by Qian Shen, Yi Li, YuXiang Zhang, Lei Zhang, ShiHao Liu, Jinhua Wu

“…First, the bottleneck of the C2f module in the original yolov8 network is replaced with the residual Faster-Block module in FasterNet, and then the new channel mixer convolution GLU (CGLU) in TransNeXt is combined with it to construct the C2f-faster-CGLU module, reducing the number of model parameters and computational load; Secondly, the SPPF module is combined with the large separable kernel attention (LSKA) to construct the SPPF-LSKA module, which greatly enhances the feature extraction ability of the model; Then, by adding a small target detection layer, the accuracy of small target detection such as traffic signs is greatly improved; Finally, the Inner-IoU and MPDIoU loss functions are integrated to construct WISE-Inner-MPDIoU, which replaces the original CIoU loss function, thereby improving the calculation accuracy. …”
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The Interaction between Visual and Proprioception Information for Dynamic Postural Control in Healthy Individuals by yasin hoseini, Nader Farahpour

“…To measure dynamic postural ability, the subjects stood on a four weel cart. Then using the force of a load equal to 10% of the subject’s body mass, the cart was moved forward. …”
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Bone marrow mesenchymal stem cell-derived exosomes improve cancer drug delivery in human cell lines and a mouse osteosarcoma model by Wenquan Cai, Dawei He

“…Patients require chemotherapy drugs with high-targeting ability and low off-target toxicity to improve their survival. …”
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Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

“…The results for predicting the generator power of a spar-type floating offshore wind turbine (FOWT) in a multivariable parallel time-series dataset using the Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model showed promising outcomes, offering valuable insights into the model’s performance and potential applications. Its ability to capture a comprehensive range of load case scenarios—from mild to severe—through the integration of multiple relevant features significantly enhances the model’s robustness and applicability in realistic offshore environments. …”
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Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

“…Aiming at the problems of low classification accuracy and weak model generalization ability of traditional fault diagnosis classification methods in the fault diagnosis of rolling bearings in rotating machinery, an intelligent fault diagnosis model based on signal processing technology combined with deep learning algorithm was proposed. …”
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Simulation Research of Virtual Synchronous Machine Control System with Harmonic Suppression by CHENG Kun, DING Xiying, GONG Jingying, HAN Yan, LI Xiaodong

“…Virtual synchronous machine control mechanism is firstly reviewed, the characteristics of system harmonics under nonlinear load conditions are simulated and analyzed. High-slope droop control is performed on the main harmonic components of each order to quickly clean up the harmonics output of grid-connected inverter, so that the inverter has the ability to suppress specific harmonics while transmitting power. …”
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Facile fabrication of TPGS-PCL polymeric nanoparticles for paclitaxel delivery to breast cancer: investigation of antiproliferation and apoptosis induction by Tong Chen, Fei Xing, Yu Sun

“…Biochemical experiments showed that T-b-P@PTX has a strong ability to induce cell death and to be internalized in the MCF-7 cells. …”
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Development of Underwater Microrobot with Biomimetic Locomotion by W. Zhang, S. Guo, K. Asaka

“…We compared the two microrobot prototypes, and the result shows that Walker-2 has some advantages, such as more flexible moving motion, good balance, less water resistance, more load-carrying ability and so on. We also compared it with some insect-inspired microrobots and some microrobots with 1-DOF legs, and the result shows that a microrobot with this novel type of locomotion has some advantages. …”
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Parametric Analysis and Improvement of the Johnson-Cook Model for a TC4 Titanium Alloy by Wangtian Yin, Yongbao Liu, Xing He, Zegang Tian

“…This indicates that the improved J-C constitutive model can more accurately predict the mechanical response of a titanium alloy under an impact load and provides a theoretical basis for the study of the mechanical properties of titanium alloy blades under subsequent conditions of foreign object damage.…”
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Proprioceptive and Exteroceptive Information Perception in a Fabric Soft Robotic Arm via Physical Reservoir Computing with Minimal Training Data by Jun Wang, Zhi Qiao, Wenlong Zhang, Suyi Li

“…Over recent decades, soft and reconfigurable robots have rapidly emerged thanks to their ability to interact safely with humans and adapt to complex environments. . …”
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Influences of ternary ethanol methanol gasoline mixtures on the performance of a spark ignition engine by Héritier Nsenga Mundisila, Yaliih Dilubenzi Watemuka, Haddy Mbuyi Katshiatshia

“…At the end of this study, it was concluded that the use of fuel mixtures was relevant for high speeds and also more suitable for total loads.…”
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The Construction of Holonic Infrastructure of Intelligent Networks in the Smart Grid Concept with a Two-Way Flow of Energy by Manusov V.Z., Khasanzoda N.

“…This allows you to flexibly regulate energy flow and align the load schedule, minimizing financial expenses for consumed energy.…”
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Sustainability Assessment of Agricultural Waste Biogas Production System in China Based on Emergy and Carbon Evaluation Methods by Bin Yang, Weiguo Jia, Yi Yu, Hui Zhang

“…Compared with the straw return model and straw power generation model, the results of emergy indicators and carbon accounting showed that the biogas production model had a lower environmental load and higher economic output and level of emergy sustainability. …”
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Real-time assessment of PV-DSTATCOM for grid power quality enhancement using an indirect current control strategy by Vinamra Kumar Govil, S. M. Tripathi, Kuldeep Sahay

“…Real-time simulation results under both balanced and unbalanced PCC voltage conditions validate the ability of the PV-DSTATCOM to mitigate power quality disturbances. …”
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Tracing delay network in air transportation combining causal propagation and complex network by DaoZhong Feng, Bin Hao, JiaJian Lai

“…Validation of delay tracing involves the use of complex network metrics and a specially designed load-embedded metric for identifying daily states. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…Additionally, the robustness of the controller is extensively evaluated under challenging scenarios, including parameter uncertainties and load disturbances. Results confirm its ability to maintain stability and performance across a wide range of conditions, outperforming existing methods. …”
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Model-Free Cooperative Control for Volt-Var Optimization in Power Distribution Systems by Gaurav Yadav, Yuan Liao, Aaron M. Cramer

“…Volt-Var control (VVC) methods have been proposed to utilize the ability of inverters to supply or consume reactive power to mitigate fast voltage fluctuations. …”
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A Hybrid Content-Aware Network for Single Image Deraining by Guoqiang Chai, Rui Yang, Jin Ge, Yulei Chen

“…Furthermore, a four-token contextual attention module (FTCA) is introduced to explore the content information among neighbor keys to improve the representation ability. Both qualitative and quantitative validations on synthetic and real-world rain images demonstrate that the proposed CAD can achieve a competitive deraining performance.…”
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Nanoparticle-Encapsulated Plant Polyphenols and Flavonoids as an Enhanced Delivery System for Anti-Acne Therapy by Ririn Puspadewi, Tiana Milanda, Muhaimin Muhaimin, Anis Yohana Chaerunisaa

“…The advent of polyphenol and flavonoid-loaded nanoparticles marks a new acne therapy era.…”
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The impact of technology use on cognitive development and lexical attrition in L1 and L2 among younger students with ADHD: Opportunities and challenges by Abdullah Al Fraidan, Thamer Alharthi

“…METHODS: A conceptual analysis was conducted, integrating cognitive theories such as Cognitive Load Theory (CLT), Monitor Theory, and the Working Memory Model (WMM). …”
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