State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Future developments in remote sensing should examine how multi-sensor integration of high-resolution data from instruments such as Planet, Tandem-X, SPOT and improved AI methods can refine forest composition, carbon storage and function maps, enhance large-scale monitoring of tree height and biomass dynamics, and improve forest degradation and deforestation detection down to tree level. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Specifically designed for deployment on resource-constrained devices, the model ensures real-time monitoring capabilities in practical sericulture environments.…”
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Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…The neuron death caused by the original ReLU activation function may lead to misidentification, so it was replaced by the Swish function to improve the adaptability to complex inputs. …”
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Analysis of variant interactions in families with autism points to genes involved in the development of the central nervous system. by Jacek Kaczyński, Marta Pasenkiewicz-Gierula

“…Analysis of the statistical interactions also points to genes whose biological functions are not yet known.…”
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Real-Time Classification of Ochratoxin a Contamination in Grapes Using AI-Enhanced IoT by Mohamed Riad Sebti, Zohra Dakhia, Sonia Carabetta, Rosa Di Sanzo, Mariateresa Russo, Massimo Merenda

“…A function derived from chemical analysis was developed to estimate OTA concentrations and used to label a synthetic dataset, establishing safe thresholds. …”
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Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…To address these challenges and to establish a connected network, there is always a need for a system to evaluate the contents of detected data values and dynamically switch sensor states based on their function. …”
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TTPRNet: A Real-Time and Precise Tea Tree Pest Recognition Model in Complex Tea Garden Environments by Yane Li, Ting Chen, Fang Xia, Hailin Feng, Yaoping Ruan, Xiang Weng, Xiaoxing Weng

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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

“…In the study framework, the VOSviewer 1.6.18 tools allowed the detection of six clusters of research streams: renewable resources, sustainable development, public, energy policy, energy efficiency, and solar energy. …”
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Making Blind Robots See: The Synergy Between Fluorescent Dyes and Imaging Devices in Automated Proteomics by Wayne F. Patton

“…Since rare proteins cannot be amplified by any type of PCR method, sensitive detection is critical to proteome projects. Fluorescence methods deliver streamlined detection protocols, superior detection sensitivity, broad linear dynamic range and excellent compatibility with modern microchemical identification methods such as mass spectrometry. …”
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In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands by Kimberly Slinski, Kimberly Slinski, Gabriel B. Senay, Alkhalil Adoum, Shraddhanand Shukla, Amy McNally, James Rowland, Erwann Fillol, Soni Yatheendradas, Soni Yatheendradas, Chris Funk, Andrew Hoell, Michael Jasinski

“…The 12 locations can function as sentinel ponds to monitor local water availability. …”
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Simple fuzzy classification of metal qualities of Ona River, Ibadan, Nigeria, and its implication for fish production and other uses by Olayiwola Akin Akintola, Foluso Oyedotun Agunbiade, Tolulope Omolayo Ariyomo, Toju Esther Babalola, Bolaji Adelanke Adabembe, Oluwaseun Temitope Faloye, Opeyemi Samuel Sajo

“…The results revealed that the PTEs: Fe, Pb, Cd, Cr, and Mn were detected above guideline limits in several sampling points, indicating possible contamination from anthropogenic sources. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

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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

“…Precision agriculture is widely applied in indoor farming to optimize resource use and improve sustainability. Spectral technology has limitations in operation in plant health monitoring in indoor farming. …”
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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

“…Introduction: Syndrome-based diagnosis of various infections is increasingly important. Even in resource-limited countries, adopting a syndrome-based method is essential, as Meningitis/Encephalitis (ME) can be caused by a multitude of agents that require detection through a multiplex assay. …”
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Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…Heterogeneous networks with dense deployment of small cells can employ cognitive features to efficiently utilize the available spectrum resources. Spectrum sensing is the key enabler for cognitive radio to detect the unoccupied channels for data transmission. …”
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Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

“…In the first stage, the YOLOv8 algorithm precisely localizes 13 key epiphyses in hand radiographs, achieving a mean Average Precision (mAP) of 99.5% at Intersection over Union (IoU) = 0.5 and 94.0% within IoU 0.5–0.95, demonstrating robust detection performance. The second stage employs a modified EfficientNetB3 architecture for fine-grained epiphyseal grade classification, enhanced by the Rectified Adam (RAdam) optimizer and a composite loss function combining center loss and weighted cross-entropy to mitigate class imbalance. …”
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Habitat and Predator Influences on the Spatial Ecology of Nine-Banded Armadillos by Robert C. Lonsinger, Ben P. Murley, Daniel T. McDonald, Christine E. Fallon, Kara M. White

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Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A by Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, Chandira Gunasena, Ruwan Jayasinghe

“…In addition, the proposed solution includes a question-answering platform in the native Sinhala language, alongside the English language, designed to function as a chatbot for dental-related queries. We hope that this platform will eventually bridge the gap between dental services and patients, created due to a lack of human resources. …”
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Gallium oxide (Ga2O3) as a radiation detector distinguishing neutrons and gammas by D. J. Valdes, L. Rendon, J. Winkelbauer, P. Koehler, S. C. Vogel, K.-X. Sun

“…Gallium oxide (Ga2O3) is a promising ultrawide bandgap semiconductor for radiation detection with the potential of integrating electronic and scintillation functions within a single crystal device. …”
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Comparing the Transcriptomes of Two Different Tissues in Helicoverpa assulta (Guenée) by Hailing Zhang, Kuiyin Li, Yubo Zhang

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