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  1. 4621

    Recent Advances and Future Prospects of Lithium Recovery from Low-Grade Lithium Resources: A Review by Jihan Gu, Binjun Liang, Xianping Luo, Xin Zhang, Weiquan Yuan, Bin Xiao, Xuekun Tang

    Published 2024-12-01
    “…Future research should focus on improving the selectivity and efficiency of extraction and processing technologies, optimizing separation processes, and developing green and cost-effective extraction methods. …”
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  2. 4622

    Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

    Published 2024-12-01
    “…Abstract The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. …”
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  3. 4623
  4. 4624

    Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

    Published 2025-01-01
    “…Additionally eliminated are clients whose model weights when combined with the global model adversely affect its performance. Our method is further enhanced by the inclusion of a voting mechanism. …”
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  5. 4625

    Pengkondisian Sinyal Electromyography sebagai Identifikasi Jenis Gerakan Lengan Manusia by Rizal Maulana, Rekyan Regasari Mardi Putri

    Published 2018-08-01
    “…Electromyography (EMG) is one method in biomedical field that can be used to record biomedical signal to gain the information about arm muscle activity. …”
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  6. 4626

    Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

    Published 2025-12-01
    “…More research is needed to quantitatively examine different contribution of sample sizes, modeling algorithms, variables from different sources, and stratification factors on modeling results, so that we can design an optimal procedure for GSV modeling using airborne Lidar data.…”
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  7. 4627

    A New Way to Identify Mastitis in Cows Using Artificial Intelligence by Rodes Angelo Batista da Silva, Héliton Pandorfi, Filipe Rolim Cordeiro, Rodrigo Gabriel Ferreira Soares, Victor Wanderley Costa de Medeiros, Gledson Luiz Pontes de Almeida, José Antonio Delfino Barbosa Filho, Gabriel Thales Barboza Marinho, Marcos Vinícius da Silva

    Published 2024-11-01
    “…Mastitis is a disease that is considered an obstacle in dairy farming. Some methods of diagnosing mastitis have been used effectively over the years, but with an associated relative cost that reduces the producer’s profit. …”
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  8. 4628

    Energy-Oriented Economic Evaluation of Phase Shifters Utilizing Risk-Adjusted Lifecycle Cost Analysis by Hui Cai, Wanchun Qi, Zhuyi Peng, Jie Zou, Wentao Sun, Ying Zhu, Xingning Han

    Published 2025-02-01
    “…The assessment employs probability distributions and Monte Carlo simulation methods to analyze their economic performance, considering key energy-related cost factors such as initial investment, operational efficiency, maintenance, and decommissioning. …”
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  9. 4629

    Exploration of Key Factors in the Preparation of Highly Hydrophobic Silica Aerogel from Rice Husk Ash Assisted by Machine Learning by Yun Deng, Ziyan Sha, Xingxing Wang, Ke Duan, Weijie Xue, Ian Beadham, Xiaolan Xiao, Changbo Zhang

    Published 2025-01-01
    “…To expand the applications of hydrophobic silica aerogels derived from rice husk ash (HSA) through simple traditional methods (without adding special materials or processes), this paper employs machine learning to establish mathematical models to identify optimal conditions for extracting water glass and investigates how preparation conditions and heat treatment temperatures affect properties such as the porosity and hydrophobicity of HSA. …”
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  10. 4630
  11. 4631

    Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

    Published 2024-12-01
    “…Results show that the two ML-based algorithms exhibit markedly superior performance (the optimal method is with a correlation coefficient of <span class="inline-formula"><i>R</i></span> <span class="inline-formula">&gt;</span> 0.91 and an absolute bias of approximately 0.8 km) compared to the two physics-based algorithms. …”
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  12. 4632

    Microbial transformation of sewage sludge to biolipid-based fuel using potential oleaginous bacteria Streptomyces sp. by Sana Akbar, Muzammil Anjum, Samia Qadeer, Rab Nawaz, Zepeng Rao, Zepeng Rao, Habib Ullah, Abdulaziz Alamri, Mohamed A. El-Tayeb

    Published 2025-05-01
    “…The study was conducted to harness Streptomyces sp. to produce bio-lipids and their further processing for biofuel through transesterification.MethodsSewage sludge was obtained from the I-9 treatment plant, Islamabad; after initial characterization the unprocessed sludge was optimized viz.: incubation time (24–96 h), inoculation rate (5–15%), pH levels (4–9), temperature (25–40°C), agitation (0–250 RPM), nitrogen sources (yeast, urea, ammonium chloride, and ammonium nitrate), and carbon sources (glucose, sucrose, starch, and dextrose). …”
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  13. 4633

    Constructing Applied Knowledge in Nursing Students: A Learning Experience Centered on Evidence-Based Practice by Judith García-Expósito, Glòria Tort-Nasarre, Alba Torné-Ruiz, Judith Roca, Sara Esqué, Montserrat Sanromà-Ortíz

    Published 2025-01-01
    “…Aim: The aim of this study was to explore a learning experience centered on evidence-based practice through cooperative learning in an online discussion forum with nursing students. <b>Methods:</b> We employed a descriptive qualitative study with the participation of 137 nursing students. …”
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  14. 4634
  15. 4635
  16. 4636

    The efficacy of infrared diode laser in enhancing the regenerative potential of human periodontal ligament stem cells (hPDLSCs) by Mohamed M. Abo El-Dahab, Ghada Nour El Deen, Mahmoud Shalash, Mostafa Gheith, Ahmed Abbass, Riham M. Aly

    Published 2024-10-01
    “…Abstract Background The present study aimed to investigate the effects of infrared diode laser irradiation on the proliferation and differentiation capacity of periodontal ligament stem cells (hPDLSCs), which are optimal cell sources for periodontal regeneration. …”
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  17. 4637

    Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing by Dongbao Jia, Wenjun Ruan, Rui Ma, Shiwei Zhao, Yichen Wang, Wei Xu, Weijie Zhou, Xinxin Ge, Zhongxun Xu

    Published 2025-07-01
    “…However, accurately forecasting PM2.5 levels presents significant challenges due to the complex, non-linear, and non-stationary characteristics inherent in the PM2.5 concentration data, which are influenced by diverse meteorological conditions, emission sources, and atmospheric transport dynamics. Existing prediction methods often struggle to adequately capture these multifaceted patterns simultaneously; single models may fail to address both long-term trends and seasonal variations as well as short-term stochastic fluctuations, while many hybrid decomposition approaches may not optimally utilize techniques suited to the distinct nature of each decomposed component, thereby limiting potential accuracy improvements. …”
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  18. 4638

    An intelligent Cuk-Luo fused DC-DC converter for standalone hybrid renewable energy system’s peak load power management by Praveen Kumar Balachandran, S. Vijaya Madhavi, Koganti Srilakshmi, Sravanthy Gaddameedhi, Ramprasad Vangalapudi, Abhinav Kumar, Shitharth Selvarajan

    Published 2025-07-01
    “…A mathematical model is developed to analyse stability challenges and design an optimal controller for the DC-DC converter. To efficiently manage power distribution from the input sources, two innovative control methods are introduced: an embedded controller and an online duty cycle estimator. …”
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  19. 4639

    Diagnostic potential of gut microbiota in Parkinson’s disease by V. A. Petrov, V. M. Alifirova, I. V. Saltykova, I. A. Zhukova, N. G. Zhukova, Yu. B. Dorofeeva, O. P. Ikkert, M. A. Titova, Yu. S. Mironova, A. E. Sazonov, M. R. Karpova

    Published 2020-01-01
    “…The gut microbiota is one of the potential sources of biomarkers, changes in the composition of which in PD are actively studied.The aim of this study is to identify microbiota biomarkers in the Parkinson’s disease with an estimated accuracy of the diagnostics, including differential diagnostics, relative to other neurological diseases for patients of the Russian population.Material and methods. …”
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  20. 4640

    Sweroside: unveiling broad therapeutic potential—from mechanistic insights to clinical potential by Liu Peng, Man Zuo, Tian Qiu, Wenying Lan, Yue Wen, Xiao-Qin Ye

    Published 2025-07-01
    “…The insights presented aim to facilitate the development of novel pharmacotherapies and advance precision medicine.MethodsA systematic review of the literature was conducted using databases such as PubMed, Web of Science, and Google Scholar. …”
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