TMN-Net: A Hybrid 2.5D Multi-Branch Transformer Network for Coronary Artery Segmentation in Cardiac Diagnosis by Bo Zhao, Jianjun Peng, Kai Zhang, Yongyan Fan, Ce Chen, Yang Zhang

“…Coronary artery disease (CAD) continues to be a leading cause of global mortality, necessitating accurate and efficient diagnostic tools for early detection and treatment planning. …”
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

“…Compared with other models, the prediction accuracy is significantly improved, and it had better generalization ability and robustness, and better generalization and robustness.…”
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Bird Call Identification Using Ensemble Empirical Mode Decomposition by Jingxuan Liu, Hailan Chen

“…A significant aspect of the approach lies in the ability to break down bird call signals characterized by nonstationary and nonlinear features into a limited set of IMFs. …”
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Metal matrix composites: revolutionary materials for shaping the future by Km. Pooja, Nazia Tarannum, Pallavi Chaudhary

“…Key findings highlight their ability to overcome the weaknesses of traditional materials by enhancing various mechanical properties. …”
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Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology by Hui Zhang, Kai Yue, Yiming Zhang

“…The numerical results demonstrate a 2.13% reduction in the optimized blade total pressure loss coefficient and a 12.74% reduction in the endwall loss coefficient compared to those of the original unfinned construction under the same air injection conditions. …”
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Drop impact dynamic and directional transport on dragonfly wing surface by Jing Xu, Wenjun Liu, Weixiao Shang, Jun Chen, Jiadi Lian

“…Abstract The ability of dragonflies to fly in the rain without being wetted by raindrops has motivated researchers to investigate the impact behavior of a drop on the superhydrophobic wings of dragonflies. …”
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Enhancing construction robot collaboration via multiagent reinforcement learning by Kangkang Duan, Zhengbo Zou

“…The results revealed the efficient collaboration mechanism between agents and demonstrated the ability of our approach to enable multiple robots to learn and adapt their behaviors in complex and dynamic construction tasks while effectively preventing collisions. …”
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A Federated Reinforcement Learning Framework via a Committee Mechanism for Resource Management in 5G Networks by Jaewon Jeong, Joohyung Lee

“…The DFRL framework boosts efficient virtual instance scaling in Mobile Edge Computing (MEC) environments for 5G core network automation. …”
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Condition Monitoring System for Main Shaft Bolts in Wind Turbines Based on YOLOv11 by CHEN Huai, CHEN Yanan, LI Ziyuan, ZHANG Jiayou, QIN Long, SHU Hui

“…Abnormal condition monitoring of main shaft bolts plays a crucial role in ensuring the stable and efficient operation of wind turbines. The traditional inspection method of manual patrols has proven inefficient and lacking in real-time performance, which hinders its ability to meet the requirements of efficient operation and maintenance for modern wind turbines. …”
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Mismatch response to polysyllabic nonwords: a neurophysiological signature of language learning capacity. by Johanna G Barry, Mervyn J Hardiman, Dorothy V M Bishop

“…Three alternative explanations have been offered, stated in terms of differences in: (a) perceptual ability; (b) efficiency of phonological loop functioning; (c) pre-existing vocabulary knowledge and/or articulatory skills. …”
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Numerical simulation of aerodynamic performance degradation of NACA0012 airfoils under icing conditions for vertical-axis wind turbines by Xiangjun Wang, Amjad Ali, Haibo Ke, Bin Huang, Junwei Yang

“…Vertical-axis wind turbines (VAWTs) have gained widespread application in urban environments, leveraging their ability to harness wind energy effectively. However, in low-temperature conditions, the blades of these turbines are susceptible to icing, which can significantly degrade their power generation efficiency and service life. …”
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Prolonging effect of polyvinyl alcohol on the drug release by Anzhela Shurshina, Roman Lazdin, Elena Zakharova, Anastasiya Titlova, Elena Kulish

“…The lower the density of the polymer film, the greater the diffusion coefficient of the drug release from the film. Thus, in the course of evaluating the ability to prolong the action of polyvinyl alcohol, it was shown that using some prolongation techniques, it is possible to achieve targeted regulation of the rate of drug release from polymer dosage forms.…”
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Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq by Baghdad Science Journal

“…The aim of this study is to investigate the ability of fuzzy inference system for estimating monthly pan evaporation form meteorological data. …”
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The Effect of Aetoxylon sympetalum Essential Oil Treatment on Focus Endurance Level of First-Year Medical Students by Nova Primadina, Nilam sari, Yelvi Levani, Nur Aisah Ibrahimiyah

“…So it can be concluded that the more often inhaling Aetoxylon sympetalum essential oil, the ability to maintain focus will increase.…”
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BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

“…In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes randomly selected,a BA- ELM gear fault diagnosis method is puts forward based on energy feature of wavelet packet optimal nodes.First,the gear vibration signals are decomposed by using wavelet packet in this method,the optimal nodes is selected by using the correlation coefficient between each node decomposition signals and original signal,and the energy feature is calculated.Second,the bat algorithm is used to optimize the extreme learning machine input weights and threshold of hidden layer node and the gear fault classification model of BA-ELM is established.Finally,the energy entropy feature vectors of the optimal wavelet packet nodes as the model input is used to identify the different fault states of gear.The experimental results show that,comparing with SVM and ELM fault classification method,the BA-ELM gear fault diagnosis method based on energy feature of wavelet packet optimal nodes has higher classification accuracy and better generalization ability.…”
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Research Progress on SAR Inversion of Crop and Soil Parameters Based on Microwave Scattering Theory by Shangrong WU, Rongkun ZHAO, Hong CAO, Yan ZHA, Qiangyi YU, Wenbin WU, Peng YANG

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A review on the synthesis, characterization, and recent advancements of visible light-activated C-TiO2 nanomaterials for environmental remediation by Liezel L. Estrella-Pajulas, Bethyl Jane I. Gamala

“…The potential of carbon doping in enhancing the photocatalytic activity of TiO2 is attributed to its ability to act as a trapping center and transport channel for electrons which promotes efficient separation of photo-induced electron and hole pairs, ability to act as a sensitizer, and capability to promote an electron coupling effect and create a localized occupied state of TiO2 in order to narrow the bandgap of the photocatalyst. …”
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Simulation of Soil Temperature and Humidity at Mado Station by CLM5.0 Model Encrypted Soil Layering Scheme by Yiqun BAO, Shihua LÜ, Zisha LIU

“…The source of the Yellow River is an important water conservation area in the Yellow River Basin， and it is of great significance to study the influence of different soil stratification on the simulation results of freeze-thaw process and to improve the model's simulation ability of water-heat transport process for the study of freeze-thaw process in the alpine region.In this paper， we use the observation data from Mado station in the Yellow River source area as the forcing field to drive the land surface model CLM5.0 （Community Land Model） to simulate in Mado station， and use the three improved soil layering schemes of CLM5.0 to simulate the influence of different soil layering on the soil freezing and thawing process， and compare the simulation results with the observations to analyze the influence of the improved layering schemes on the land surface model.CLM5.0 in the Yellow River source area in the process of freezing and thawing on the soil temperature and humidity simulation ability to improve the effect of the following conclusions： （1） adjusted three soil layering scheme on the simulation of soil temperature at Mardo station has a better effect of the improvement of the simulation of the three programs in the 30-layer program simulation of the best effect of the simulation， simulated values and the average correlation coefficient with the observed value reaches 0.954， the average root-mean-square error of 3.334 ℃ （2） The simulation effect of the three adjusted soil layering schemes on soil moisture at Mado station is also improved more significantly， which can accurately capture the seasonal changes of soil moisture in each layer in a whole year， affected by precipitation， the simulated values are not sufficiently relevant to the simulation of the troughs of the measured values， and the best simulation effect is achieved in the 30-layer scheme among the three schemes， with an average correlation coefficient of 0.770， and an average root-mean-square error of The average correlation coefficient is 0.770， and the average root mean square error is 0.039 m3·m-3； （3） For the simulation of the initial day of freezing and the initial day of ablation， the adjusted three different soil layers have obvious effects on the simulation of the freezing period and the ablation period， and the simulated initial day of freezing and the initial day of ablation of the shallow layer are in line with the observed values， while the simulation of the initial day of freezing and the initial day of ablation of the deeper layer is somewhat biased， with delays compared with the observed values， and the period of ablation is more persistent.…”
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Local Analysis of Human Cortex in MRI Brain Volume by Sami Bourouis

“…In this paper, a segmentation procedure using geometric curvature properties that provide an efficient discrimination for local shape is implemented on the brain cortical surface. …”
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Comparison of diagnostic accuracy of 2D and 3D measurements to determine opportunistic screening of osteoporosis using the proximal femur on abdomen-pelvic CT. by Sun-Young Park, Hong Il Ha, Sang Min Lee, In Jae Lee, Hyun Kyung Lim

“…Diagnostic performance, correlation analysis and measurement reliability were analyzed by receiver operating characteristic curves, correlation coefficient and interobserver correlation coefficient (ICC), respectively.…”
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