Vortex-assisted liquid–liquid microextraction for the simultaneous derivatization and extraction of five primary aliphatic amines in water sample by Mir Ali Farajzadeh, Sadaf Ebrahimi, Sina Mohammad Mehri, Mohammad Reza Afshar Mogaddam

“…Various affecting parameters of the method, such as the derivatization agent amount, type of extraction solvent, ionic strength of solution, pH, vortexing time, and centrifuging time and rate were carefully optimized. …”
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Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…Experimental results show that the proposed method significantly reduces Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) while achieving higher accuracy (ACC) compared to traditional neural networks. …”
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Identification of a key nucleotide influencing Cas12a crRNA activity for universal photo-controlled CRISPR diagnostics by Tian Tian, Hongrui Xiao, Xinyi Guo, Yuxin Chen, Zhiqiang Qiu, Ting Zhang, Meiyu Chen, Weiwei Qi, Peige Cai, Meng Cheng, Xiaoming Zhou

“…Photo-regulation strategies provide an ideal solution to suppress undesired CRISPR cleavage while maintaining detection efficiency. However, existing photo-controlled CRISPR diagnostic methods face limitations in universality, cost, and detection efficiency. …”
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ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset by Masum Shah Junayed, Md Baharul Islam, Afsana Ahsan Jeny, Arezoo Sadeghzadeh, Topu Biswas, A. F. M. Shahen Shah

“…The pre-processed input images are fed into our proposed model, namely <italic>ScarNet</italic>, for deep feature map extraction. The optimizer, loss function, activation functions, filter and kernel sizes, regularization methods, and the batch size of the proposed architecture are tuned so that the classification performance is maximized while minimizing the computational cost. …”
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Advanced 3D Depth Imaging Techniques for Morphometric Analysis of Detected On-Tree Apples Based on AI Technology by Eungchan Kim, Sang-Yeon Kim, Chang-Hyup Lee, Sungjay Kim, Jiwon Ryu, Geon-Hee Kim, Seul-Ki Lee, Ghiseok Kim

“…Without occlusion, mean absolute percentage error (MAPE) using boundary box-based methods was 6.201% and 5.164% for horizontal and vertical diameters, respectively, while mask-based methods achieved improved accuracy with MAPE of 5.667% and 4.921%. …”
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Research on Automatic Tracking and Size Estimation Algorithm of “Low, Slow and Small” Targets Based on Gm-APD Single-Photon LIDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

“…It improves the Mean-Shift algorithm and proposes an automatic tracking method that combines the weighted centroid method to realize target extraction, and the principal component analysis (PCA) method of the adaptive rotating rectangle is realized to fit the flight attitude of the target. …”
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Potential of Bioinspired Artificial Vaginas to Improve Semen Quality in Dolphins by Jacquline Rich, Guillermo J. Sánchez-Contreras, Jonathan R. Cowart, Dara N. Orbach

“…Sperm collected using BAVs showed non-significant increases in median progressive and rapid motility, and increases in median and mean linear motility, supporting a sexual selection functional hypothesis for the biodiverse vaginal folds unique to whales, dolphins, and porpoises. Sperm concentration decreased with BAV collection, while no consistent trends were detected in volume, pH, velocity, or plasma membrane integrity. …”
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Staphylococcus biofilm dynamics and antibiotic resistance: insights into biofilm stages, zeta potential dynamics, and antibiotic susceptibility by T. Lavoie, K. E. Daffinee, M. L. Vicent, K. L. LaPlante

“…Furthermore, it highlights the efficacy of daptomycin in eradicating biofilm while identifying possibilities of optimal antibiotic concentration windows, a critical consideration for mitigating resistance and achieving effective infection control. …”
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Application of Neural Networks for Estimating Coseismic Slip Distribution Using Synthetic GNSS Data by Valentina Inzunza, Marcos Moreno, Vicente Yáñez-Cuadra, Francisco Ortega-Culaciati, Ignacia Calisto, Matt Miller

“…The method was initially developed with synthetic models to define an optimal architecture for accurately recovering target slip. …”
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Flexible Strain Sensor Based on PVA/Tannic Acid/Lithium Chloride Ionically Conductive Hydrogel with Excellent Sensing and Good Adhesive Properties by Xuanyu Pan, Hongyuan Zhu, Fufei Qin, Mingxing Jing, Han Wu, Zhuangzhi Sun

“…Experimental data confirm that the PVA-TA-0.5/LiCl-1 hydrogel achieves optimal levels of adhesion strength (2.32 kPa on pigskin) and conductivity (0.64 S/m), while also exhibiting good tensile strength (0.1 MPa). …”
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Numerical analysis of bubble coalescence characteristics on wetting surface by Liuming YANG, Shicheng LIU, Zhiyong PEI, Xiangshao KONG

“…ObjectiveThis study aims to advance the development of composite drag reduction technology involving super-hydrophobic surfaces and bubbles by investigating the coalescence characteristics of bubbles on wetting surfaces and revealing the effects of surface wettability, bubble spacing, and bubble size on bubble coalescence.MethodsA numerical model of bubble coalescence on an underwater wetting surface is established based on the volume of fluid (VOF) method. …”
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Plasma-Assisted Regeneration of Activated Carbon: Current Status and Prospects by Routong Chen, Jiaxin Meng, Shiyi Tan, Litao Liang, Faxing Wang, He Liu, Cong Guo, Weizhai Bao, Guozhen Zhang, Feng Yu

“…This review examines plasma-driven regeneration processes, focusing on optimizing reactivity control to maintain AC structural integrity while achieving high regeneration performance. …”
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Hyperspectral analysis and inversion model study of water content in magnetite by Yang Bai, Xiaoxiao Xie, Jiuling Zhang, Yuna Jia, Handi Wang

“…Samples were preprocessed using S-G smoothing, MSC, SNV, derivatives, and continuum removal. CARS selected optimal bands, while PSO-LSSVR improved modeling. …”
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TiAlNb alloy interatomic potentials: comparing passive and active machine learning techniques with MTP and DeePMD by Anju Chandran, Archa Santhosh, Claudio Pistidda, Paul Jerabek, Roland C. Aydin, Roland C. Aydin, Christian J. Cyron, Christian J. Cyron

“…Active learning consistently outperformed passive learning for both methods while requiring only a fraction of the training samples. …”
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Hybrid Model for Novel Attack Detection Using a Cluster-Based Machine Learning Classification Approach for the Internet of Things (IoT) by Naveed Ahmed, Md Asri Ngadi, Abdulaleem Ali Almazroi, Nouf Atiahallah Alghanmi

“…To combat the growing danger of zero-day attacks on IoT networks, this study introduces a Cluster-Based Classification (CBC) method. Security vulnerabilities have become more apparent with the growth of IoT devices, calling for new approaches to identify unique threats quickly. …”
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Mathematical modeling of blood flow with copper and graphene nanoparticles in inclined stenotic arteries by Pooriya Majidi Zar, Zahra Poolaei Moziraji, Ali Ahmadi Azar

“…Simplifications under mild stenosis and low Reynolds number conditions enable analytical solutions via the homotopy perturbation method (HPM) and Akbari Ganji Method (AGM). The minimal error observed for axial velocity is  $${2.34\times 10}^{-10}$$ , while that for temperature is  $${8.87\times 10}^{-10}$$ . …”
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Differential insulin response characteristics of graphene oxide-gold nanoparticle composites under varied synthesis conditions. by Qian Zhang, Yanjun Pan, Jin Pan, Zhichen Wang, Ruyi Lu, Jing Sun, Jingyi Feng

“…The results indicated that AuNPs/GO could optically respond to insulin, including pure insulin and various types of commercial insulin, and changes in the preparation conditions could really influence this response. Moreover, optimal preparation conditions could be determined by an optical method for the largest responses of the nanocomposites to insulin. …”
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Hydrothermal Conversion of Sn-Bearing Sludge into Fe/S Rods for Efficient Heavy Metal Removal in Wastewater by Shengyao Ma, Wu Yang, Weilu Yang, Yu Chen

“…When activated with PMS, the removal efficiencies increased significantly to 68.9%, 90.9%, and 91.6% for Ni, Cu, and Zn, respectively. The optimal rod dosage (1 g/L) achieved removal efficiencies of 94.2%, 78.5%, and 99.7% for Cu, Ni, and Zn, while increasing PMS dosage led to nearly 100% removal within 60 min. …”
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Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

“…Based on its predictive performance in independent test sets, the method is proved to be powerful. Moreover, representing domains and diseases through integrating more multi-omic data will further optimize predictive performance.…”
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A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning by Yourui Huang, Wenxin Jiang, Shanyong Xu

“…These results demonstrate that the proposed method significantly improves convergence speed, path quality, and environmental adaptability, while exhibiting superior robustness.…”
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