Tetranucleotide frequencies differentiate genomic boundaries and metabolic strategies across environmental microbiomes by Matthew Kellom, Maureen Berg, I-Min A. Chen, Ken Chu, Alicia Clum, Marcel Huntemann, Natalia N. Ivanova, Nikos C. Kyrpides, Supratim Mukherjee, T. B. K. Reddy, Simon Roux, Rekha Seshadri, Gitta Szabo, Neha J. Varghese, Tanja Woyke, Emiley A. Eloe-Fadrosh

“…We developed a new tool to analyze and visualize the genetic makeup of over 12,000 microbial communities, revealing patterns linked to specific functions and metabolic processes. …”
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Time-Series Forecasting of PM_2.5 and PM₁₀ Concentrations Based on the Integration of Surveillance Images by Yong Wu, Xiaochu Wang, Meizhen Wang, Xuejun Liu, Sifeng Zhu

“…Recently, there has been a growing interest in integrating visual data for air quality prediction. However, some limitations remain in existing literature, such as their focus on coarse-grained classification, single-moment estimation, or reliance on indirect and unintuitive information from visual images. …”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The model’s ability to detect infections up to two days before visual symptoms emerged highlights its value for pre-symptomatic diagnosis. …”
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A Framework for Autonomous UAV Navigation Based on Monocular Depth Estimation by Jonas Gaigalas, Linas Perkauskas, Henrikas Gricius, Tomas Kanapickas, Andrius Kriščiūnas

“…These findings highlight the benefits of adapting vision-based models to specific environments, improving UAV autonomy in visually guided navigation tasks.…”
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[Translated article] Subchondral bone damage has no influence in 12-week clinical outcome in patients with knee osteoarthritis treated with intraarticular platelet-rich plasma: A r... by R. Escribano Rey

“…Material and methods: A retrospective review of patients treated with intraarticular PRP injections for knee osteoarthritis who previously underwent a magnetic resonance (MR) of the knee was performed. Visual Analogic Score (VAS) was assessed for pain, whereas WORMS MR score was adapted to assess the damage to the subchondral bone (WORMSsc score). …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…The framework’s adaptability makes it a valuable tool for recognizing coins from other regions with similar visual diversity and variability challenges. …”
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Semantic segmentation of optical satellite images for the illegal construction detection using transfer learning by Yashasvi Mehta, Abdullah Baz, Shobhit K. Patel

“…U-Net is known for its high accuracy and adaptability across various domains, making it versatile for our needs. …”
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EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification by Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, Ali Abu Bakar Mahmood, Quratul Ain, Naveed Ishtiaq Chaudhary, Abdullah Alshehri, Sultan S. Alshamrani, Muhammad Asif Zahoor Raja

“…The quality of vegetables and fruits are judged by their visual features. Misclassification of fruits and vegetables lead to a financial loss. …”
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Real-Time Thermoacoustic Imaging-Guidance for Breast Tumor Resection by Huan Qin, Yongsheng Cui, Zhujun Wu, Qun Chen, Da Xing

“…By mounting tiny MTAI beacons on the apparatus, it is possible to accurately reconstruct the relative position of the device to the target tissue for either real time visual guidance or as the foundation for potential automated procedures. …”
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Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM by Mihai Felea, Mihaela Bucur, Cristian Negruțiu, Maria Nițu, Dragoș Andrei Stoica

“…Thus, the creation of this network that connects the objects around us allowed optimization and improvement of activities in various fields. The adaptation and deployment of IoT in wearable smart devices has created an important market, due to the popularity, the functionality and the use of these devices in various professional and everyday activities. …”
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NRNH-AR: A Small Robotic Agent Using Tri-Fold Learning for Navigation and Obstacle Avoidance by Carlos Vasquez-Jalpa, Mariko Nakano, Martin Velasco-Villa, Osvaldo Lopez-Garcia

“…Thanks to the series of learning algorithms, the proposed algorithm optimizes the use of resources and demonstrates adaptability in dynamic environments, a crucial aspect of navigation robotics. …”
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Specialized curricula for training vision language models in retinal image analysis by Robbie Holland, Thomas R. P. Taylor, Christopher Holmes, Sophie Riedl, Julia Mai, Maria Patsiamanidi, Dimitra Mitsopoulou, Paul Hager, Philip Müller, Johannes C. Paetzold, Hendrik P. N. Scholl, Hrvoje Bogunović, Ursula Schmidt-Erfurth, Daniel Rueckert, Sobha Sivaprasad, Andrew J. Lotery, Martin J. Menten, On behalf of the PINNACLE consortium

“…Overall, our curriculum-based approach offers a blueprint for adapting foundation models to real-world medical applications.…”
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Simplified polyp-canal system of stony coral Seriatopora hystrix protects its branching areas in the flow field by Yixin Li, Yixin Li, Zuhong Lu, Yunpeng Zhao, Chunpeng He

“…We used micro-computed tomography to visualize the polyp-canal system of S. hystrix, quantify its growth parameters, and simulate the dynamic processes of polyp budding and movement. …”
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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…In summary, STPam aids researchers in visualizing and analyzing geospatial processes and also holds potential application value in assisting regional management authorities in making disaster prevention and mitigation decisions.…”
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PONet: A Compact RGB-IR Fusion Network for Vehicle Detection on OrangePi AIpro by Junyu Huang, Jialing Lian, Fangyu Cao, Jiawei Chen, Renbo Luo, Jinxin Yang, Qian Shi

“…Multi-modal object detection that fuses RGB (Red-Green-Blue) and infrared (IR) data has emerged as an effective approach for addressing challenging visual conditions such as low illumination, occlusion, and adverse weather. …”
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Shifted Hexpo activation function: An improved vanishing gradient mitigation activation function for disease classification by Joseph Otoo, Suleman Nasiru, Irene Dekomwine Angbing

“…SHexpo introduces a shifting parameter, enhancing its adaptability and performance across diverse data distributions. …”
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The process of developing a joint theory of change across three global entities: can this help to make their efforts to strengthen capacity for implementation research more effecti... by Kabir Sheikh, Pascal Launois, Mahnaz Vahedi, Marta Feletto, Vanessa Brizuela, Imelda Bates, Anna Thorson, Susie Crossman, Sara Begg, Garry Aslanyan

“…Introduction A theory of change is a visual representation of the pathway by which a programme anticipates it will achieve its goal. …”
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Automatic classification of fungal-fungal interactions using deep leaning models by Marjan Mansourvar, Jonathan Funk, Søren Dalsgård Petersen, Sajad Tavakoli, Jakob Blæsbjerg Hoof, David Llorente Corcoles, Sabrina M. Pittroff, Lars Jelsbak, Niels Bjerg Jensen, Ling Ding, Rasmus John Normand Frandsen

“…Current workflows for identifying new biocontrol fungi often rely on subjective visual observations of strains’ performance in microbe-microbe interaction studies, making the process time-consuming and difficult to reproduce. …”
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Cryptic divergence in and evolutionary dynamics of endangered hybrid Picea brachytyla sensu stricto in the Qinghai-Tibet Plateau by Shengming Lu, Lian Liu, Weixiao Lei, Donglei Wang, Hui Zhu, Qing Lai, Liru Ma, Dafu Ru

“…Abstract Background The visual similarities observed across various plant groups often conceal underlying genetic distinctions. …”
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The Impact of Artificial Intelligence on Inclusive Education: A Systematic Review by Verónica-Alexandra Melo-López, Andrea Basantes-Andrade, Carla-Belén Gudiño-Mejía, Evelyn Hernández-Martínez

“…The findings demonstrate that AI enhances accessibility through the provision of adapted materials, including image descriptions for visually impaired students and audio transcripts for those with hearing impairments. …”
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