In Vitro Effect of Ferruginol, Tanshinone, and Carnosol Analogues on the Proliferation of Three Breast Cancer Cell Lines by Miguel A. González-Cardenete, William E. Mendoza-Hernández, Sydney L. Lawson, Fatima Rivas

“…The compounds were efficiently synthesized from either methyl 12-hydroxy-dehydroabietate or 12-hydroxydehydroabietylamine in 1–3 step processes with good chemical yields. …”
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A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms by Nasiru Ige Salihu, Muhammed Nazeer Musa, Awujola J. Olalekan

“…Securing computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). …”
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High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

“…The proposed scheme for estimating the DOA generates efficient outcomes compared to the state-of-the-art algorithms over the Monte Carlo simulations.…”
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Simultaneous Adsorption of Intact Glycoproteins and Phosphoproteins Using Hydrophilic Titanium (IV) Ion-Immobilized Cotton Fiber Functionalized by Phytic Acid Assembly by Dawei Zhang, Zhenhua Zhou, Guifeng Sun, Shiying Chen, Minzhi Jiang, Zihan Yao, Anthony Chukwunonso Ogbuehi, Hao Wang, Lei Jin

“…By virtue of the unique structure of hydrophilic titanium (IV) ion immobilized cotton fiber functionalized with phytic acid (denoted as Ti4+-PA-cotton), glycoproteins, and phosphoproteins could be efficiently enriched in one-step incubation and eluted in sequence. …”
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Electrifying amine carbon capture with robust redox-tunable acids by Xing Li, Charles B. Musgrave, Andong Liu, Junyang Meng, Jihan Zhang, William A. Goddard, Yayuan Liu

“…Abstract Electrochemically mediated carbon capture presents an energy-efficient and cost-effective strategy to combat climate change due to its ability to utilize renewable energy and operate at ambient conditions. …”
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT by Jialu Tang, Yali Gao, Xiaoyong Li, Jia Jia

“…This imbalance can lead to skewness and accuracy degradation, ultimately affecting the generalization ability and robustness of Federated Learning (FL) models. …”
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Advanced AI approaches for the modeling and optimization of microgrid energy systems by Mohammed Amine Hoummadi, Badre Bossoufi, Mohammed Karim, Ahmed Althobaiti, Thamer A. H. Alghamdi, Mohammed Alenezi

“…These results illustrate the ability of AI to power cheap and clean energy systems.…”
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Development of phase change eco-composite materials from eggshell waste by Wafa Ben Aribia, Abdelwaheb Trigui, Naif Khalaf Alshammari, Makki Abdelmoleh

“…The consumption of eggshell powder (ES) as an affluent source of calcium carbonate (CaCO3) can efficiently solve both ecological and financial interest. …”
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An Integrated Modeling Framework for Automated Product Design, Topology Optimization, and Mechanical Simulation by Paschalis Charalampous, Athanasios Pelekoudas, Ioannis Kostavelis, Dimosthenis Ioannidis, Dimitrios Tzovaras

“…The case studies are concentrated in designing knives, demonstrating the platform’s ability to reduce design time, enhance product performance and provide rapid iterations of structurally optimized geometries. …”
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Image Dehazing Based on Accurate Estimation of Transmission in the Atmospheric Scattering Model by Guoling Bi, Jianyue Ren, Tianjiao Fu, Ting Nie, Changzheng Chen, Nan Zhang

“…The dark channel prior (DCP) has been considered to be an efficient dehazing technique in recent years. However, the invalidation of DCP can induce unreliable estimation of transmission, resulting in inaccurate color information recovery, halo artifacts, and block effect. …”
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High Density Subspace Clustering Algorithm for High Dimensional Data by WAN Jing, ZHENG Longjun, HE Yunbin, LI Song

“…Highdimensional data have the characteristics of sparsity and vulnerability to dimension disaster, which makes it is difficult to ensure the precision and efficiency of high dimensional data clustering Therefore the method of subspace clustering is adopted to reduce the impact of sparsity and dimension disaster on the clustering results Firstly, random sampling is adopted to select the dimension which is suitable for clustering from highdimensional data to generate subspace, and the hoeffding bound is combined to ensure the validity of sampling results Secondly, by using the adjacency of the grid, mixed grids are generated in the subspace, which can guarantee the integrity of data and improve the density of the subspace Finally, according to the similarity and dissimilarity of subspace, the dimension pruning is carried out to improve the subspace density again The algorithm can achieve better results on UCI data set, and it has better performance in scalability and antinoise ability…”
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A Fuzzy-Immune-Regulated Single-Neuron Proportional–Integral–Derivative Control System for Robust Trajectory Tracking in a Lawn-Mowing Robot by Omer Saleem, Ahmad Hamza, Jamshed Iqbal

“…The results of these experiments confirm the enhanced trajectory tracking precision and disturbance compensation ability of the prescribed control method.…”
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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

“…Abstract Particle‐in‐cell (PIC) methods couple mesh‐based methods for the solution of continuum mechanics problems with the ability to advect and evolve properties on particles. …”
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Advanced Supply-Demand Optimization in Renewable-Powered Microgrids by K Aravind, Pal Thethi H., Devananda Rao Bolleddu, Tewari Preeti, Emad Rafal, Balachandran Praveen kumar

“…The work aims to provide a holistic understanding of power distribution system resilience, to present future research directions, and to help develop efficient methods to strengthen grid resilience to improve restoration following disruptions.…”
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Unveiling Factors Affecting Audit Fees: Characteristics Of Firms And Public Accounting Firms by Irwan Adimas Ganda Saputra, Luqman Hakim, Eko Wahjudi, Vivi Pratiwi, Ni Nyoman Alit Triani

“…This balance is critical for firms seeking to manage resources efficiently without compromising the quality of their financial reporting…”
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Super-resolution of 3D medical images by generative adversarial networks with long and short-term memory and attention by Qiong Zhang, Yiliu Hang, Fang Wu, Shentao Wang, Yue Hong

“…Secondly, a long and short-term memory network, which specializes in dealing with long-term dependencies in sequential data, was used to process continuous sequential data of 3D medical images based on its ability to remember and forget information efficiently. …”
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Advanced microfluidic strategies for core-shell nanoparticles: the next-generation of polymeric and lipid-based drug nanocarriers by Giuseppe Nunziata, Alessandro Borroni, Filippo Rossi

“…This level of precision is particularly relevant in drug delivery, where the ability to fine-tune nanoparticle size, composition, and surface properties directly influences therapeutic efficacy. …”
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Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis by Jawad Khan, Niaz Ahmad, Youngmoon Lee, Shah Khalid, Dildar Hussain

“…These findings highlight the effectiveness of this approach for text sentiment analysis tasks, demonstrating its ability to improve sentiment analysis performance compared to previously proposed methods.…”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

“…Abstract Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms, such as model-based Bayesian optimization techniques. …”
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Empowering cassava farmers in Wonogiri through digital financial and marketing strategies by Vitalis Ari Widiyaningsih, Heru Suwasono, Zayid Musiafa

“…As a result, participants gained the ability to manage budgets systematically, determine selling prices based on cost analysis, and organize financial records more effectively. …”
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