Comparative study of Normal-phase versus reversed-phase HPTLC methods for the concurrent quantification of three antiviral agents against COVID19: Remdesivir, favipiravir and Molnu... by Dina Salah El-Kafrawy, Amira H. Abo-Gharam

“…Abstract The pursuit of sustainability in analytical chemistry is a multifaceted, challenging and complex endeavor. This requires continuous and competitive attempts to achieve the sustainable development goals at every step of the analytical methodology by adhering to the principles of green, blue and white analytical chemistry. …”
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Network analysis of depression emotion suppression digital burnout and protective psychological factors by Yuting Zhan, Xu Ding

“…Abstract This study employed network analysis to investigate the complex relationship between emotion regulation strategies and depression, with particular focus on digital burnout as a contemporary stressor and the moderating role of various psychological protective factors. …”
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Analysis of Hg(II) Metal by Voltammetric Method Using a Carbon Electrode Modified with EDTA from Used Tire Waste by Sukoma Sukoma, Sagir Alva, Eka Safitri, Julinawati Julinawati, Mustanir Mustanir, Syafrizal Fonna, Muhammad Ihsan, Fitri Dara, Meri Dayanti, Ahmad Kamal Arifin, Khairi Suhud

“…EDTA plays a role in metal complexation due to its strong response to mercury metal. …”
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SET: A Shared-Encoder Transformer Scheme for Multi-Sensor, Multi-Class Fault Classification in Industrial IoT by Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli

“…The shared-kmencoder architecture improves fault detection accuracy and ensures parameter efficiency/robustness, making it suitable for deployment in memory-constrained industrial environments.…”
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A Computational Framework for Automated Puncture Trajectory Planning in Hemorrhagic Stroke Surgery by Ziyue Ma, Feng Yan, Yongzhi Shan, Yaming Wang, Hong Wang

“…Skull quadrant theory and safety corridor modeling were used to avoid critical structures. Five complex clinical cases were used to validate the framework's performance. …”
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Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

“…Hence, it confirms the model’s robustness in capturing complex motor behavior. The proposed approach offers a reliable predictive tool suitable for integration into real-time control systems, enabling enhanced motor efficiency, early fault detection, and torque ripple mitigation.…”
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Onco-mNGS facilitates rapid and precise identification of the etiology of fever of unknown origin: a single-centre prospective study in North China by Bingbing Liu, Tengfei Yu, Ruotong Ren, Na Wu, Nanshu Xing, Jingya Wang, Wenjie Wu, Xuefang Cao, Jingping Zhang

“…Results Infection-related pathogenic detection efficiency rose from 25% (control group) to 48.48% (experimental group). …”
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Large-scale phylogenomic insights into the evolution of the Hymenochaetales by Heng Zhao, Fang Wu, Sundy Maurice, Igor N. Pavlov, Konstantin V. Krutovsky, Hong-Gao Liu, Yuan Yuan, Yu-Cheng Dai

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Hyperspectral signature-band extraction and adaptation for sugar content prediction on Ziziphus mauritiana and Syzygium samarangense by Yung-Jhe Yan, Jen-Tzung Chien, Zi-Yin Hong, Wen-Li Lee, Kuo-Dung Chiou, Chi-Cho Huang, Mang Ou-Yang

“…Hyperspectral image data consist of hundreds of spectral bands, resulting in large data volumes that are not suitable for rapid detection applications. Eight signature bands were selected through a systematic feature extraction process to address these limitations, reducing data dimensionality and acquisition complexity. …”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…However, applying deep learning models to LiDAR-based tree classification remains challenging due to the computational complexity of existing 3D architectures, which often struggle with scalability and practical large-scale implementation. …”
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AbVLM-Q: intelligent quality assessment for abdominal ultrasound standard planes via vision-language modeling by Baohua Wang, Yaqian Wang, Yanhua Chu, Ke Zhang, Lei Liu, Kexin Zhang, Bowen Zhu, Dong Wang, Tianan Jiang

“…Abstract Background Abdominal ultrasound is non-invasive and efficient, yet acquiring standard planes remains challenging due to operator dependency and procedural complexity. …”
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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

“…The stability of radiomics features was assessed by calculating the coefficient of variation (COV) for each feature across variations in reconstruction parameters. …”
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Innovative Damage Assessment of Endodontic Instruments Based on Digital Image Stacking by Raúl Argüello-Sánchez, Ivette Alejandra Calderón-Alday, Antonio Hernández-Morales, Benjamín Gonzalo Rodríguez-Méndez, Diego Medina-Castro, Régulo López-Callejas, Carlo Eduardo Medina-Solís

“…Conventional scanning electron microscopy (SEM) has been the gold standard for this purpose; however, its limited accessibility and complex sample preparation protocols hinder its routine use in clinical settings. …”
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Correlated Photon Lidar Based on Time-Division Multiplexing by Yun Jiang, Bo Liu, Zixun Wang, Fengyun Huang, Taibei Liu, Lan Luo, Feifan He, Yongqi Yang, Bin Zhao

“…Single-photon lidar (SPL) exhibits high sensitivity, making it particularly suitable for detecting weak echoes over long distances. However, its susceptibility to background noise necessitates the implementation of advanced filtering techniques and complex algorithms, which can significantly increase system cost and complexity. …”
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Optimizing additive manufacturing workflows using model-based systems engineering by Mohamed Amine Daoud, Khadija Bekkay Haouari, Meriem Hayani Mechkouri, Amine Ennawaoui, Hicham El hadraoui, Ilias Naser, Mustapha Ouardouz, Kamal Reklaoui

“…Additive Manufacturing (AM) is a transformative technology enabling the production of complex geometries with reduced waste and lead times. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…DL enhances accuracy, efficiency, and adaptability, promoting the modernization of cotton production and precision agriculture. …”
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Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy by Yuanyuan Qin, Yuanyuan Qin, Jianming Chang, Li Li, Li Li, Mianhua Wu, Mianhua Wu

“…IntroductionAdvancements in artificial intelligence (AI) and large language models (LLMs) have the potential to revolutionize digestive endoscopy by enhancing diagnostic accuracy, improving procedural efficiency, and supporting clinical decision-making. …”
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Leveraging Variable Frequency Drive Data for Nondestructive Testing and Predictive Maintenance in Industrial Systems by Carl Lee Tolbert

“…However, traditional methods typically rely on external sensors, which can lead to increased costs and added complexity. The current study examined an alternative approach using variable-frequency drive (VFD) data for real-time fault detection and predictive maintenance. …”
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Symmetric anion exchange membranes enhance arsenic removal and overcome conductivity limitations in FCDI systems by Siyao Zhang, Purui Wang, Wenchao Xue, Wanni Zhang, Fangyuan Liu, Chaoge Yang, Hanlong Liu, Yang Zhang, Zimeng Zhang, Chunpeng Zhang

“…Relative to conventional designs, the symmetric-AEM configuration demonstrated an approximate 19.4% enhancement in arsenic removal efficiency. For influent streams with initial arsenic concentrations of 1000 μg·L⁻¹, effluent concentrations were diminished below the analytical detection limit (0.02 μg·L⁻¹) employing a two-stage sequential process. …”
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Multimodal integration strategies for clinical application in oncology by Baoyi Zhang, Zhuoya Wan, Yige Luo, Xi Zhao, Josue Samayoa, Weilong Zhao, Si Wu

“…Artificial intelligence (AI) methods, adept at handling complex data structures, offer a powerful approach to efficiently integrate multimodal data. …”
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