Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
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Simultaneous Determination of Pyridine, Aniline and Nitrobenzene in Printing and Dyeing Wastewater by Headspace Gas Chromatography-Mass Spectrometry by Yue WU, Yongzhong LAI, Guoyong LU, Xiaosheng LIN, Shusheng LIANG, Wenshuai XU

“…This method improves the detection efficiency, and is of significance for the simultaneous monitoring of pyridine, aniline, and nitrobenzene in printing and dyeing wastewater.…”
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Legal support for the use of natural therapeutic resources in sanatorium and resort treatment of the population by V. V. Kostytsky, V. D. Sydor, I. O. Kostytska

“…It has been established that natural therapeutic resources include mineral and thermal water, medical mud and ozokerite, sea and lake brine, sea water, natural objects and complexes with favorable climatic conditions. It has been substantiated that sanatorium and spa treatment is an important part that provides continuity and complexity of medical rehabilitation measures. …”
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Fungi in Horticultural Crops: Promotion, Pathogenicity and Monitoring by Quanzhi Wang, Yibing Han, Zhaoyi Yu, Siyuan Tian, Pengpeng Sun, Yixiao Shi, Chao Peng, Tingting Gu, Zhen Li

“…This review provides a comprehensive understanding of the complex roles of fungi in horticulture and explores innovative detection and management strategies.…”
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An Underwater Acoustic Communication Signal Modulation-Style Recognition Algorithm Based on Dual-Feature Fusion and ResNet–Transformer Dual-Model Fusion by Fanyu Zhou, Haoran Wu, Zhibin Yue, Han Li

“…Experiments on the Danjiangkou measured dataset show that the model improves the accuracy by 6.67% compared with the existing Convolutional Neural Network (CNN)–Transformer model in long-distance ranges, providing an efficient solution for modulation recognition in complex underwater acoustic environments.…”
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Comparison of Extraction Techniques for Wide Screening of 230 Pesticides in Water by Caterina Cacciatori, Jackie Myers, Giulio Mariani, Hung Vu, Bernd Manfred Gawlik, Vincent Pettigrove

“…The two extraction techniques were compared, among others, for their limits of detection, recovery, extraction, and quantification efficiency of pesticides, as well as spatial and temporal differences in detected compounds. …”
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The Role of CoLab and GAITS in Enabling the RADx Tech Program by John M. Collins, Marshall R. Collins, Tamara McKenzie, Mark Marino

“…These teams collaborated in complex workflows that needed to be carefully monitored and tracked. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…Group testing is an efficient screening method that reduces the number of tests by pooling multiple samples, making it especially effective in low-prevalence settings. …”
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Saccharification of Lignocelluloses by Carbohydrate Active Enzymes of the White Rot Fungus Dichomitus squalens. by Johanna Rytioja, Kristiina Hildén, Susanna Mäkinen, Jari Vehmaanperä, Annele Hatakka, Miia R Mäkelä

“…White rot fungus Dichomitus squalens is an efficient lignocellulose degrading basidiomycete and a promising source for new plant cell wall polysaccharides depolymerizing enzymes. …”
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Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train by Saeed Asadi, Viktor Berbyuk, Håkan Johansson

“…The conclusion from the current research provides informative beneficial data in terms of design and optimization of a drive train setup and also can provide better understanding of wind turbine drive train system dynamics with respect to different structural parameters, ultimately designing more efficient drive trains. Finally, the proposed global sensitivity analysis (GSA) methodology demonstrates the detectability of faults in different components.…”
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Securing innovation at sea: Cyber risk management for SMEs in ship design by Mirela-Alexandra Ungureanu, Eugen Gavan, Carmen Gasparotti

“…The paper presents a structured approach to cyber risk management based on established frameworks, emphasizing the protection of valuable intellectual property while maintaining operational efficiency. We propose practical recommendations for implementing robust cybersecurity measures within the resource constraints typical of SMEs, including strategies for threat detection, incident response, and recovery planning.…”
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Overview of technical advances in the diagnosis and treatment of pulp and periapical diseases by LI Mengyuan, LIU Jie, ZHANG Yuerong, JIANG Fei, ZHANG Guangdong

“…The application of multimodal imaging, artificial intelligence, and molecular biology detection technologies has introduced new dimensions to the diagnosis and treatment of pulp diseases. …”
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Dispersive Liquid-Liquid Microextraction of Bismuth in Various Samples and Determination by Flame Atomic Absorption Spectrometry by Teslima Daşbaşı, Şenol Kartal, Şerife Saçmacı, Ahmet Ülgen

“…In this method, crystal violet was used as counter positive ion for BiCl4- complex ion, chloroform as extraction solvent, and ethanol as disperser solvent. …”
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An Innovative Framework for Quality Assurance in Logistics Packaging by Henriett Matyi, Péter Tamás

“…<i>Background</i>: As a result of the effort to satisfy unique customer needs, the complexity of production and service processes is constantly increasing. …”
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Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach. by Junzhuo Jiang, Hao Wu, Changhua Zhong, Hong Song

“…The model effectively retains the signal's original one-dimensional temporal attributes while also delving into more complex features. This approach exhibits strong resistance to noise and enhanced generalization skills, markedly improving the detection accuracy of power quality issues within microgrids.…”
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Generation of Genuine Multipartite Entangled States via Indistinguishability of Identical Particles by Kobra Mahdavipour, Farzam Nosrati, Stefania Sciara, Roberto Morandotti, Rosario Lo Franco

“…We also show that this graph-theoretical approach allows for the optimization of the generation efficiency of specific multipartite entangled states by exploring a variety of generation schemes. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

“…We find that NSIs improve mixture ratio detection and plume structure sensing and do so more efficiently than the traditionally considered mechanism of lateral inhibition in the antennal lobe. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…Accurate detection and measurement of building elements are essential for efficient automated inspection and quality assessment in construction. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Radio Frequency Fingerprinting (RFF) has gained significant attention in wireless communication and security research due to its potential for device authentication and intrusion detection. While deep learning-based approaches have shown promising results, existing methods suffer from critical limitations: high computational complexity hinders real-time deployment on resource-constrained hardware, poor robustness under low Signal-to-Noise Ratio (SNR) conditions, and inadequate generalization across different datasets. …”
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