Research review of digital modeling technologies with 3D spatial visualization for pipelines by Xin LIU, Shengwen TU, Yanfang HOU, Dong LIN, Jie SHU, Yu TANG

“…ConclusionGiven the current emphasis on multi-technology integration in digital modeling with 3D spatial visualization for pipelines, developers should select appropriate methods based on specific requirements to ensure the applicability of their systems. …”
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Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen by Yuriy Vasilev, Yuriy Vasilev, Anastasia Pamova, Tatiana Bobrovskaya, Anton Vladzimirskyy, Anton Vladzimirskyy, Olga Omelyanskaya, Elena Astapenko, Artem Kruchinkin, Novik Vladimir, Kirill Arzamasov, Kirill Arzamasov

“…The goal of this study is to identify optimal methods for detecting organ anomalies and outliers in medical datasets designed to train and test neural networks in morphometrics.MethodsA dataset was created containing linear measurements of the spleen obtained from CT scans. …”
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Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

“…A Hybrid CNN–Transformer model was employed for feature fusion, and feature selection and hyperparameter tuning were optimized using Gray Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). …”
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Load Balancing and Alternative Path Selection in Self-Organized Networks: A Data Plane Approach by Gergely Sarkozi, Peter Voros

“…Unlike conventional systems reliant on centralized controllers or manual configurations, this algorithm operates entirely within the data plane, leveraging controlled flooding to dynamically discover and reroute traffic based on real-time congestion data. By detecting latency spikes indicative of congestion, switches autonomously select alternative paths to maintain optimal traffic flow. …”
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A Novel Hybrid Deep Learning Model Enhanced with Explainable AI for Brain Tumor Multi-Classification from MRI Images by Esra Gundogan

“…It integrates a customized CNN model for feature extraction from images and the optimized XGBoost method with high classification success. …”
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AFENet: An Attention-Focused Feature Enhancement Network for the Efficient Semantic Segmentation of Remote Sensing Images by Jiarui Li, Shuli Cheng

“…Experimental results across diverse scenarios demonstrate that AFENet achieves superior performance in building structure detection, exhibiting enhanced segmentation connectivity and completeness compared to state-of-the-art methods.…”
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Research on a New Green and Low Carbon Degradation Test Scheme by Huang Jinfei, Liu Kaiyue, Zhang Xin, Chou Qin

“…With the rapid development of biodegradable plastics, the inspection and detection of degradable plastics is becoming more and more important, GB/T 19277.1 is the most commonly used degradable plastic compost detection method. …”
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Comparison of Human and Porcine Natural Tooth Fluorescence—A Scoping Study to Inform Research on Dental Materials and Forensic Dentistry by Thomas Corfield, Denice Higgins

“…Using a pulsed laser, an optimal fluorescence‐inducing wavelength was determined, followed by comparing fluorescence spectra between species. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…In a benchmark scenario, the optimized model achieved a localization of 82.3% weighted accuracy within a prediction radius of 1 m, and the corresponding normalized error of the detected area was of less than 0.26%. …”
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Design of Smart Plant Electrical Signal Monitoring System for Indoor Farming by Afif Saifuddin, Wiratmoko Ardan, Nugroho Andri Prima, Okayasu Takashi, Sutiarso Lilik

“…The calibration result is analyzed using statistical methods such as MAPE. The system will apply various advanced analysis techniques such as time domain, frequency domain, and machine learning methods. …”
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An analysis of One Health timeliness metrics across multisectoral public health emergencies in Uganda by Jane K. Fieldhouse, Lydia Nakiire, Joshua Kayiwa, Ali Mirzazadeh, Claire D. Brindis, Ashley Mitchell, Jaime Sepulveda, Issa Makumbi, Alex Riolexus Ario, Elizabeth Fair, Sarah Gallalee, Herbert Isabirye, Musa Sekamatte, Brian H. Bird, Woutrina Smith, Angel Desai, Jonna A. K. Mazet, Mohammed Lamorde

“…Abstract Background Timeliness metrics offer countries a framework by which to assess and optimize speed in outbreak detection and response times. …”
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Determination of the metabolites, eicosanoids derived from polyunsaturated fatty acids in Drosophila tissue with high performance liquid chromatography tandem mass spectrometry by TAN Liangliang, SHEN Lirong

“…The HPLC-MS/MS method to analyze 15 selected eicosanoids in Drosophila qualitatively and quantitatively was established by optimizing the sample pretreatment and the detection conditions.It was found that the recoveries were significantly influenced by the pH of sample adjusted by 1 mol/L sodium acetate buffer containing 5% methanol, and the optimized pH was at 6. …”
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Application of Variational Mode Decomposition based on the FOA and in Bearing Fault Diagnosis by Chang Liu, Yanxue Wang, Jianwei Yang

“…The effectiveness of the presented method is verified by simulation signal analysis， detecting bearing fault signal and comparing with multi-resolution singular value decomposition （MRSVD） approach based on fruit fly optimization algorithm.…”
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The impact of an intervention to increase follow-up blood cultures for patients with Staphylococcus aureus bacteriuria by Jared Olson, Vincent Anella, Brandon J. Webb, Andrew T. Pavia, Emily A. Thorell, Adam L. Hersh, Dustin Waters

“…The intervention increased early SAB detection. Risk-targeted strategies are needed to optimize FUBC collection in patients with SABU. …”
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Microextraction of Polycyclic Musks from Surface Water with Deep-Eutectic-Solvent-Coated Membrane Followed by Gas-Chromatography–Mass Spectrometry Analysis by Fabiana Terlizzi, José O. Fernandes, Tamara Gonzalez, Mateus H. Petrarca, Leandro dos S. Silva, Rafaela S. Lamarca, Mario H. Gonzalez, Rui Lapa, Sara C. Cunha

“…The DES-coated membrane demonstrated a linear detection range from 2.5 to 100 μg/L, with limits of detection (LODs) ranging from 0.06 to 0.15 µg/L, while the LOQ values varied from 0.2 to 0.5 µg/L. …”
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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…Accurate segmentation of lung nodules is crucial for the early detection of lung cancer and other pulmonary diseases. …”
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Topical Issues of Drug Safety, Possibilities of Improving of Pharmacovigilance by M. V. Zhuravleva, B. K. Romanov, G. I. Gorodetskaya, O. V. Muslimova, V. S. Krysanova, E. Yu. Demchenkova

“…The directions of optimization of pharmacovigilance system are proposed, including methods of more effective active surveillance in the identifi cation and prevention of adverse reactions.…”
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Evaluation of Serum Biomarkers for Improved Diagnosis of Candidemia by Amélie Kinet-Poleur, Corentin Deckers, Imane Saad Albichr, Pierre Bogaerts, Patrick M. Honoré, Pierre Bulpa, Nathalie Ausselet, Frederic Foret, François Kidd, Te-Din Huang, Isabel Montesinos

“…These findings highlight the potential of integrating multiple biomarkers into diagnostic workflows to optimize early detection, though further studies are needed to refine strategies and address challenges.…”
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Noninvasive diagnosis of interstitial fibrosis in chronic kidney disease: a systematic review and meta-analysis by Shanshan Wan, Shiping Wang, Xinyu He, Chao Song, Jiaping Wang

“…The sensitivity and specificity of radiomics were 0.69 (95% CI: 0.59–0.77) and 0.78 (95% CI: 0.68–0.85).Conclusions The current early noninvasive diagnostic methods for RF include US, MRI, and radiomics. However, this study demonstrates that US has a higher sensitivity for the detection of RF compared to MRI. …”
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An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification by Khaoula Taji, Ali Sohail, Tariq Shahzad, Bilal Shoaib Khan, Muhammad Adnan Khan, Khmaies Ouahada

“…The ensemble feature vector is optimized using three different meta-heuristic algorithms that are Binary Dragonfly algorithm (BDA), Ant Colony Optimization algorithm and Moth Flame Optimization algorithm (MFO). …”
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