Green On-Site Diclofenac Extraction from Wastewater Matrices Using a 3D-Printed Device Followed by PTV-GC-MS Determination by César Castro-García, Edwin Palacio, Rogelio Rodríguez-Maese, Luz O. Leal, Laura Ferrer

“…The eluent and derivatization reagent volumes were optimized by a multivariate design. The proposed method allowed for the extraction and determination of diclofenac by PTV-GC-MS, achieving methodological detection and quantification limits of 0.019 and 0.055 μg L⁻¹, respectively, with a preconcentration factor of 46. …”
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Next-Generation Automation in Neuro-Oncology: Advanced Neural Networks for MRI-Based Brain Tumor Segmentation and Classification by Syed Sajid Hussain, Niyaz Ahmad Wani, Jasleen Kaur, Naveed Ahmad, Sadique Ahmad

“…In response to the urgency of these difficulties, our research presents a novel multi-task learning methodology utilizing advanced neural network architectures to automate and improve the accuracy of brain tumor identification and classification from MRIs. This method seeks to optimize the diagnostic procedure, diminish reliance on manual analysis, and deliver swift, dependable outcomes that can expedite the commencement of treatment. …”
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Exploring the Current Status of Risk Stratification in Hypertrophic Cardiomyopathy: From Risk Models to Promising Techniques by Alexandros Kasiakogias, Christos Kaskoutis, Christos-Konstantinos Antoniou, Stavros Georgopoulos, Dimitrios Tsiachris, Petros Arsenos, Alexandrina Kouroutzoglou, Dimitrios Klettas, Charalambos Vlachopoulos, Konstantinos Tsioufis, Konstantinos Gatzoulis

“…However, finding the optimal method for risk evaluation has been challenging, given the complexity and the wide variation in clinical phenotypes. …”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…A systematic preprocessing pipeline was developed to enhance model performance, including outlier detection and feature normalization. Hyperparameter optimization process in this study uses the Water Cycle Algorithm (WCA), a metaheuristic method inspired by natural processes. …”
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Degradation dynamics of Trifluralin in Qinghai-Tibet Plateau and screening of its degrading strains by Dong Zhao, Lei Wang, Shuo Shen, Enyu Lu, Junlong Feng, Nima Bai, Hongyu Chen, Wei Li

“…To investigate the degradation patterns and ecological benefits of FLL, this study established a comprehensive method for detecting FLL residues and selected efficient degrading bacterial strains. …”
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Targeted ultra-high performance liquid chromatography-tandem mass spectrometry assay for the quantification of medium-chain phosphatidylcholines in platelets of coronary artery dis... by Tamara Janker, Adrian Brun, Adrian Sievers-Engler, Kristina Dittrich, Meinrad Gawaz, Michael Lämmerhofer

“…Compared to the previous untargeted RPLC-ESI-QTOF-MS/MS method, the optimized targeted UHPLC-QTrap-MS/MS assay showed increased sensitivity and selectivity for the detection of medium-chain PCs in platelet samples of CAD (LOQs in the range of 0.5–5 nmol/L). …”
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High Sensitivity SERS Substrate with Femtosecond Laser-Printed Nanohole Arrays by Yunfang Zhang, Dejun Liu, Han Liu, Yubin Deng, Zhiyong Bai, Changrui Liao, Yiping Wang, Ying Wang

“…This article presents a novel method for fabricating repeatable and uniform surface-enhanced Raman scattering (SERS) substrates. …”
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Flexible Ultrasonic Sensor Array for Guided Wave Nondestructive Testing of Thin-Walled Structures by He Sun, Linfeng Wang, Jiahao Ren, Xiao Ying, Haichao Liu, Xiaobin Jiang, Fuzai Lv, Zhoumo Zeng, Yang Liu

“…Ensuring their structural integrity and safe operation requires effective nondestructive testing (NDT) and online monitoring techniques. We propose an NDT method for thin-walled structures utilizing a flexible ultrasonic sensor array (FUSA) to detect circular hole defects effectively. …”
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Reduction with zinc — Impact on the determination of nitrite and nitrate ions using microfluidic paper-based analytical devices by Mika I. Umeda, Kaewta Danchana, Takatoshi Fujii, Eiichi Hino, Yusuke Date, Kaoru Aoki, Takashi Kaneta

“…The μPAD consists of layered channels for the reduction of nitrate to nitrite with zinc powder and the subsequent detection of nitrite with Griess reagent. The amount of zinc, number of layers, and reaction time for the reduction were optimized to obtain an intense signal for nitrate. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…Therefore, this paper proposes a Model Knowledge Embedded Graph Neural Network (MKEGNN) scheduling algorithm. This method frames the radar task collaborative scheduling problem as a heterogeneous network graph, leveraging model knowledge to optimize the training process of the Graph Neural Network (GNN) algorithm. …”
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Screen-Printed PVDF Piezoelectric Pressure Transducer for Unsteadiness Study of Oblique Shock Wave Boundary Layer Interaction by Bei Wang, Cosimo Corsi, Thomas Weiland, Zhenyu Wang, Thomas Grund, Olaf Pohl, Johannes Max Bienia, Julien Weiss, Ha Duong Ngo

“…The primary objective is to optimize low-frequency pressure fluctuation detection, addressing SWBLI’s need for accurate, real-time measurements of low-frequency unsteadiness. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…Despite the heightened interest in BSF production, there is a need for increased efficiency, particularly in the context of large-scale measurement of various traits for selective breeding as well as management optimization. The unique insect production systems, coupled with the challenges posed by their small size, fragility, and metamorphic life cycle underscores the necessity for innovative approaches to streamline production.This study explores the potential of computer vision (CV) in predicting the larval sex and morphological traits of BSF, offering a non-invasive, rapid, and automated method for trait measurement. …”
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Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine by Jean-Marie Grégoire, Cédric Gilon, François Marelli, Hugues Bersini, Stéphane Carlier

“…AI-driven ECG analysis provides a practical and cost-effective method for early detection and personalized treatment, complementing genomic approaches. …”
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Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as Helicobacter pylori infection by Wei Zang, Ze Lin, Yanduo Zhao, Tianshi Jia, Xinglong Zhang

“…It provides an early prediction of rebleeding during a patient’s hospitalization and optimizes early intervention for patients to a certain extent. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa by Haoteng Zhao, Feng Gao, Martha Anderson, Richard Cirone, Geba Jisung Chang

“…Timely monitoring of crop conditions is essential for optimizing and assessing agricultural management. Vegetation indices (VIs) derived from remote sensing data can be useful for assessing crop conditions on a large spatial scale. …”
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RNA Amplification Results in Reproducible Microarray Data with Slight Ratio Bias by László G. Puskás, Ágnes Zvara, László Hackler, Paul Van Hummelen

“…Twelve genes that exhibited inconsistent or contradictory expression ratios among the three methods were verified by quantitative RT-PCR. The amplification methods showed slightly more discrepancies in the expression ratios when compared to quantitative RT-PCR results but were more sensitive in terms of detecting expressed genes. …”
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Document Relevance Filtering by Natural Language Processing and Machine Learning: A Multidisciplinary Case Study of Patents by Raj Bridgelall

“…Applying these methods to more than 4200 patents filtered from a database of 9.6 million patents revealed that most supervised ML models outperform the unsupervised methods. …”
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Exploring disparities in oral health: a comparative study of cochlear implanted and normal-hearing children by Serpil Mungan Durankaya, Gülser Kılınç, Hande Evin Eskicioğlu, Enis Alpin Güneri, Yüksel Olgun, Günay Kırkım

“…Method Forty CIs (25 girls, 15 boys) and 44 NH children (22 girls, 22 boys) between the ages of 6 and 13 years who had no neurological or developmental problems participated in this cross-sectional study. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. …”
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