Influence of Microwave Thermohydrolysis on Biomass Digestion by Anna Nowicka, Magda Dudek, Marcin Dębowski, Marek Markowski, Ireneusz Białobrzewski, Marcin Zieliński

“…This study analyzed the effects of thermohydrolysis on the anaerobic conversion efficiency of lignocellulosic biomass, comparing conventional and microwave heating methods. …”
Get full text

A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation by Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang

“…Abstract In clinical medicine, a reliable and resource-friendly computer-aided diagnosis (CAD) method for brain tumor segmentation is essential to enhance diagnostic accuracy and therapeutic outcomes, particularly in regions with uneven healthcare resource distribution. …”
Get full text

First Responder Virtual Reality Simulator to train and assess emergency personnel for mass casualty response by Nicholas E. Kman, Alan Price, Vita Berezina‐Blackburn, Jeremy Patterson, Kellen Maicher, David P. Way, Jillian McGrath, Ashish R. Panchal, Katherine Luu, Alex Oliszewski, Scott Swearingen, Douglas Danforth

“…Eventually, we hope that the First Responder system will serve both as an effective replacement for expensive conventional training methods as well as a safe and efficient platform for research on current triage protocols.…”
Get full text

Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis by Abdullah O. Baarimah, Mahmood A. Bazel, Wesam Salah Alaloul, Motasem Y.D. Alazaiza, Tharaa M. Al-Zghoul, Basheer Almuhaya, Arsalaan Khan, Ahmed W. Mushtaha

“…The analysis reveals a significant increase in research output, peaking at 93 publications in 2023. This suggests growing interest and focus in leveraging AI techniques to address wastewater management challenges. …”
Get full text

Evolution of Research on Artificial Intelligence for Heart Failure: A Bibliometric and Visual Analysis by Meng L, Lian K, Zhang J, Li L, Hu Z

“…Lichong Meng,1,2 Kun Lian,1,2 Junyu Zhang,1,2 Lin Li,1,2 Zhixi Hu1,2 1School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, People’s Republic of China; 2Provincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, People’s Republic of ChinaCorrespondence: Zhixi Hu, School of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, People’s Republic of China, Tel +86-13574812411, Email 003405@hnucm.edu.cnPurpose: To investigate the role of artificial intelligence in enhancing precise diagnosis, personalized treatment, and efficient monitoring of heart failure over the past two decades and to predict future advancements of these investigations.Methods: A literature search was conducted using keywords from the Web of Science database from January 1, 2004, to August 31, 2024, and 684 articles were retrieved. …”
Get full text

Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters by Farzaneh Bagheri, Jakson Bonaldo, Naki Guler, Marco Rivera, Patrick Wheeler, Rogerio Lima

“…The proposed system was able to achieve efficient power extraction while maintaining high power quality (PQ) standards for the output, positioning it as a practical and flexible solution for advanced solar PV systems.…”
Get full text

Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms by Yang Chen, Tao Yang, Shuai Dong, Like Wang, Bida Pei, Yunlong Wang

“…However, traditional methods struggle with fine cracks, complex backgrounds, and image noise. …”
Get full text

Biosurfactant Production using Candida tropicalis URM 1150 and its Application in the Bioremediation of Coast Environments Impacted by Oil Spills by Maria Catarina de F. Caldas, Renata R. Silva, Hugo M. Meira, Goretti Sonia Silva, Leonie A. Sarubbo, Juliana M. Luna

“…After 120 h of cultivation, the maximum biomass output of 9.93 g/L was reached. The biosurfactant was applied in static and kinetic tests with seawater and sand contaminated with oil. …”
Get full text

TongueNet: a multi-modal fusion and multi-label classification model for traditional Chinese Medicine tongue diagnosis by Lijuan Yang, Lijuan Yang, Qiumei Dong, Da Lin, Xinliang Lü

“…Additionally, existing methods generally lack multi-label classification capabilities, making it challenging to simultaneously meet the multidimensional requirements of TCM diagnosis for disease nature and location. …”
Get full text

Flexibility-Oriented Day-ahead Market Clearing Model for Electrical Energy and Ancillary Services by Meng YANG, Lizi ZHANG, Jianhu LV, Bike XUE, Hao YUAN

“…Therefore, its market clearing model is of vital importance for the effective incentive and utilization efficiency of flexible resources. In this paper, combined with the system demand for flexible power resources, the influence of traditional unit commitment model on the utilization efficiency of flexible resources is analyzed, and a flexible day-ahead market co-optimization model is then proposed. …”
Get full text

Research on dynamic generation technology for control reference in envelope tracking power supply by ZHANG Zhihao, ZHOU Yan, DAI Liming, ZHU Jianxin

“…The effect of the amplitude and the duration time of the constant reference on the overall efficiency of power supply is discussed in detail. Finally, based on the 64 quadrature amplitude modulation radio frequency signal, a composite envelope tracking (ET) power supply with the tracking bandwidth of 300 kHz and the output voltage of 7.6 V~21 V is constructed. …”
Get full text

Explanation of Good Governance Factors in Shiraz by Ehsan Heidarzadeh, Mojtaba Arasteh, Elnaz Rafiee

“…In the following, the data obtained from the questionnaires have been entered into the SPSS software. The output of the factor analysis model of good governance in Shiraz shows that it depends on improving the factors of "institutional capacity of organization", "transparency", "efficiency and effectiveness", "public acceptance", "citizenship" and "participation". …”
Get full text

Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…Abstract Cervical cancer poses a significant health risk to women. Deep learning methods can assist pathologists in quickly screening images of suspected lesion cells, greatly improving the efficiency of cervical cancer screening and diagnosis. …”
Get full text

Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks by BAI Yunpeng, ZHANG Zhiyan, XU Cai, GUO Chuangxin, LIU Zhuping, ZHU Wenhao

“…By incorporating parallel training methods，the proposed model is utilized in renewable energy power systems with the aim of improving risk assessment efficiency while maintaining accuracy in grid risk assessments. …”
Get full text

Improving Steam Turbine Plants Performance Through Advanced Testing and Simulation by Milan V. Petrovic, Srdjan Milic, Djordje Petkovic, Teodora Madzar, Nikola M. Markovic

“…The tests should be comprehensive to ensure accurate measurements and reliable conclusions. The developed method for process simulation enables the calculation of overall performance, like specific heat rate and thermal efficiency, as well as the performance of individual components under various operational conditions. …”
Get full text

LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

“…The study proves that log-transformed linear regression works as a basic but efficient method for accurate frequency estimation in resonant LC circuits.…”
Get full text

Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…Secondly, an enhanced DM optimized with a VAE (Variational Autoencoder) is developed. By efficiently generating data in the latent space, this model enhances the representation capability of uncertainty factors, enabling precise modeling of fluctuations in wind and solar power outputs as well as heating, cooling, and electrical loads. …”
Get full text

Variable structure wireless power transfer converter with misalignment tolerant by Zhilei Yao, Yiming Zhang

“…Misalignment of the secondary coil relative to the primary coil is inevitable in the wireless power transfer (WPT) converter, which decreases the transmission power and the system efficiency. Moreover, constant current (CC) and constant voltage (CV) control methods should be used to improve the charging efficiency of the battery. …”
Get full text

Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Conclusion The results of this study with respect to the correlation coefficient of 0.5012 with real data and high spatial resolution of the output map showed the efficiency of using different bands of radar images in estimating surface moisture. …”
Get full text

Isolation of Mitochondria From Yeast to Estimate Mitochondrial Pools of Inorganic Phosphate by Swagata Adhikary, Vineeth Vengayil, Sunil Laxman

“…This method provides a valuable tool to investigate changes in mitochondrial phosphate dynamics. …”
Get full text