Technical note: Spectral correction for cavity ring-down isotope analysis of plant and soil waters by G. J. Bowen, S. Banerjee, S. Chakraborty

“…Previous research has characterized this problem and tested a range of solutions for eliminating, detecting, or correcting influence in experimental or natural samples, yet interlaboratory comparisons show that affected data are still being reported. …”
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Consumers’ Attitudes Towards Whole Dried Figs Attributes: A Preliminary Study in Italy by Federica Monaco, Pietro De Marinis, Guido Sali

“…A hierarchical cluster analysis detected four typologies of consumers and validate previous findings on taste being the prime purchasing driver. …”
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Analysis of association between FGB, MTHFR, MTR and MTRR genes polymorphisms and ischemic and hemorrhagic stroke by V. I. Tsymbaliuk, I. G. Vasylieva, M. R. Kostiuk, N. G. Chopyk, O. S. Galanta, O. I. Tsiubko, N. P. Oleksenko, A. B. Dmytrenko, T. A. Makarova, N. D. Snitzar

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Modern instrumentation and practical application of flame atomic emission spectrometry by E. A. Zauer

“…The main areas of application of FAES are presented – bioenergy, agriculture (analysis of plants, soil extracts and fertilizers), mineral raw materials (geology), clinical medicine and pharmaceuticals, food industry, environmental control (analysis of drinking, technical and waste water), nuclear energy, metallurgy and chemical industry, as well as some features and problems associated with the preparation of samples for analysis by the FAES method. …”
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Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach by Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V. G., Arun G. Maiya

“…This study presents a plantar pressure distribution analysis method to predict diabetic peripheral neuropathy. …”
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AI in Structural Health Monitoring for Infrastructure Maintenance and Safety by Vagelis Plevris, George Papazafeiropoulos

“…We examine seven core areas where AI significantly advances SHM capabilities: (1) data acquisition and sensor networks, highlighting improvements in sensor technology and data collection; (2) data processing and signal analysis, where AI techniques enhance feature extraction and noise reduction; (3) anomaly detection and damage identification using machine learning (ML) and deep learning (DL) for precise diagnostics; (4) predictive maintenance, using AI to optimize maintenance scheduling and prevent failures; (5) reliability and risk assessment, integrating diverse datasets for real-time risk analysis; (6) visual inspection and remote monitoring, showcasing the role of AI-powered drones and imaging systems; and (7) resilient and adaptive infrastructure, where AI enables systems to respond dynamically to changing conditions. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…By incorporating self-supervised learning, we significantly improve the detection of complex emotions, particularly those related to mental health, offering a more comprehensive solution for sentiment analysis on social platforms. …”
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Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis by Na Li, Ziming Wang, Wen Ren, Hong Zheng, Shuai Liu, Yi Zhou, Kang Ju, Zhongting Chen

“…Traditional cognitive assessment tools, such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), exhibit limitations in feasibility, which potentially and partially affects results for early-stage MCI detection. This study developed and tested a supportive cognitive assessment system for MCI auxiliary identification, leveraging eye-tracking features and convolutional neural network (CNN) analysis. …”
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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

“…The performance of general machine learning algorithms such as kNN, SVM, RF, and some boosting techniques was evaluated, and it was shown that the Random Forest achieved the best classification accuracy. Feature importance analysis has revealed how specific domain characteristics, such as vibration velocity and ultrasound levels, contribute significantly to performance and enabled the detection of multiple faults simultaneously. …”
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Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting. by Josefine Freiberg, Roshan A Welikala, Jens Rovelt, Christopher G Owen, Alicja R Rudnicka, Miriam Kolko, Sarah A Barman, FOREVER consortium

“…<h4>Purpose</h4>To evaluate the test performance of the QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) software in detecting retinal features from retinal images captured by health care professionals in a Danish high street optician chain, compared with test performance from other large population studies (i.e., UK Biobank) where retinal images were captured by non-experts.…”
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Cognitive Networks and Text Analysis Identify Anxiety as a Key Dimension of Distress in Genuine Suicide Notes by Massimo Stella, Trevor James Swanson, Andreia Sofia Teixeira, Brianne N. Richson, Ying Li, Thomas T. Hills, Kelsie T. Forbush, David Watson

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Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction by Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, Thinh Nguyen Le Quang, Anh Dinh The, Nguyen Thai-Nghe, Hai Thanh Nguyen

“…Histopathology, which refers to the detection and learning of tissue diseases, has appeared as a solution for breast cancer treatment as it plays a vital role in its diagnosis and classification. …”
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Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…By virtue of the empirical validation and comparative analysis of the framework, it has been shown to perform better than the regular methods, proving that the methodology can act as a step forward in the field of real-time, AI-assisted irrigation and leak detection systems.…”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…Specifically, a Multilayer Perceptron (MLP) model is used for statistical feature analysis, and Convolutional Neural Network (CNN) models are used for GloVe and CNG features. …”
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Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…Soil organic matter (SOM) content is a key indicator for assessing soil health, carbon cycling, and soil degradation. Traditional SOM detection methods are complex and time-consuming and do not meet the modern agricultural demand for rapid, non-destructive analysis. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Principal Component Analysis (PCA) is then applied to diminish the dimensionality of the amalgamated features derived from environmental monitoring images, descriptive texts, and sensor data collected by industrial and mining enterprises. …”
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Infrared and visible image fusion driven by multimodal large language models by Ke Wang, Dengshu Hu, Yuan Cheng, Yukui Che, Yuelin Li, Zhiwei Jiang, Fengxian Chen, Wenjuan Li

“…To better incorporate these suggestions, we design a Text-Driven Feature Harmonization (Text-DFH) module. Text-DFH refines the features produced by the fusion network according to the recommendations from the multimodal large language model, enabling the fused image to better meet the needs of pedestrian detection tasks.ResultsCompared with existing methods, the key advantage of our approach lies in utilizing the strong semantic understanding and scene analysis capabilities of multimodal large language models to provide precise guidance for improving fused image quality. …”
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Enhanced electrocardiogram classification using Gramian angular field transformation with multi-lead analysis and segmentation techniques by Gi-Won Yoon, Segyeong Joo

“…Conventional manual or feature-based ECG analysis methods are limited by time inefficiencies and human error. …”
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Non-Targeted Lipidomics Analysis of Characteristic Milk Using High-Resolution Mass Spectrometry (UHPLC-HRMS) by Tingting Wei, Tianxiao Zhou, Shenping Zhang, Zhexue Quan, Yang Liu

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Analysis of Peculiarities of Epidemiological Situation on Cholera in the World and in the Russian Federation in 2024 and Forecast of its Development in 2025 by V. D. Kruglikov, N. E. Gaevskaya, E. V. Monakhova, E. A. Moskvitina, V. V. Agafonova, I. V. Savina, O. A. Podoynitsyna, N. A. Selyanskaya, A. S. Vodop’yanov, O. V. Duvanova, E. A. Men’shikova, M. I. Ezhova, E. S. Shipko, A. V. Evteev, V. S. Kaz’mina, P. V. Bodraya, E. N. Sokirkina

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