Beyond the genome: the role of functional markers in contemporary plant breeding by Tae-Chun Park, Tae-Chun Park, Pransiskudura Chamara Silva, Pransiskudura Chamara Silva, Thomas Lübberstedt, Thomas Lübberstedt, M. Paul Scott, M. Paul Scott

“…Since the concept of FMs was first proposed in 2003, the emergence and adoption of technologies that were not available at the time have significantly advanced FM discovery and application by enhancing the ability to precisely identify causal variants underlying complex traits, which is a critical prerequisite for FM development. …”
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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

“…Conversely, traditional models demonstrated a reliable albeit less dynamic ability to elucidate the complexities of renewable energy data; for instance, Random Forest exhibited a mean squared error (MSE) of 0.025, while Support Vector Regression (SVR) recorded an MSE of 0.030. …”
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The role of a national evaluation system in promoting dairy sustainability* by Asha M. Miles, Kristen L. Parker Gaddis, John B. Cole, Robert H. Fourdraine

“…The dairy industry has achieved tremendous gains in productive efficiency following decades of work with these goals in mind. …”
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Real-time aerial fire detection on resource-constrained devices using knowledge distillation by Sabina Jangirova, Branislava Jankovic, Waseem Ullah, Latif U. Khan, Mohsen Guizani

“…We generate activation map visualizations using Grad-CAM to confirm the model’s ability to focus on relevant fire regions. The high accuracy and efficiency of the proposed model make it well-suited for deployment on satellites, UAVs, and IoT devices for effective fire detection. …”
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The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population by Trine Jul Larsen, Maria Bråthen Pettersen, Helena Nygaard Jensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Marit Eika Jørgensen, Stine Byberg

“…Applying an AI grading solution, in a Greenlandic setting, could potentially improve the efficiency and cost-effectiveness of DR screening.Method: We developed an AI model using retina fundus photos, performed on persons registered with diabetes in Greenland and Denmark, using Optos® ultra wide-field scanning laser ophthalmoscope, graded according to ICDR.Using the ResNet50 network we compared the model’s ability to distinguish between different images of ICDR severity levels in a confusion matrix.Results: Comparing images with ICDR level 0 to images of ICDR level 4 resulted in an accuracy of 0.9655, AUC of 0.9905, sensitivity and specificity of 96.6%.Comparing ICDR levels 0,1,2 with ICDR levels 3,4, we achieved a performance with an accuracy of 0.8077, an AUC of 0.8728, a sensitivity of 84.6% and a specificity of 78.8%. …”
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A FUSED PET/MRI IN A PLANNING AND PERFORMING STEREOTACTIC OPERATIONS IN BRAIN TUMORS by A. I. Kholyavin, V. B. Nizkovolos, A. F. Gurchin, T. Yu. Skvortsova

“…In addition, MRI provides imaging of fiducial markers for stereotactic calculations.Conclusion. High efficiency of preoperative planning on fused MRI/PET scans was demonstrated. …”
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Evolution of Rotating Internal Channel for Heat Transfer Enhancement in a Gas Turbine Blade by Xinxin Guo, Xueying Li, Jing Ren

“…To achieve higher thermal efficiency in a gas turbine, increasing the turbine inlet temperature is necessary. …”
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Encapsulation of bioactive compounds from Sargassum ilicifolium: Influence of wall material type and loading content on the physicochemical and structural properties of micropartic... by Seyed Saeed Sekhavatizadeh, Mohammad Ganje, Seyedeh Sedigheh Hashemi, Mohammad Reza Mozafarian

“…The bioactive compound of SIE, encapsulation efficiency, and the structural properties of microparticles were analyzed. …”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks. …”
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Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…Compared with existing detection methods, this approach shows outstanding performance in detection accuracy, localization precision, and computational efficiency, particularly excelling in small object detection.…”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…The framework’s ability to proactively adapt to evolving access patterns while maintaining computational efficiency makes it particularly suitable for large-scale machine learning and scientific computing environments where data placement critically impacts overall system performance.…”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…Such integration improves the ability of the machine learning swarm classifier (MLSC) to handle high-dimensional features and imbalanced biomedical datasets. …”
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Artificial Intelligence and Big Data Analytics: Transforming Supply Chain and Sustainable Manufacturing to Achieve SDGs Agenda by Gohar Mahmood, Azeem Ahmad Khan, Shahid Mahmood, Muhammad Adnan Ali

“…AI and BDA require investment in infrastructure and development of the workforce and the human ability to cope with the change that comes with the implementation of these Two technologies. …”
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ANALISIS PENGARUH RASIO KEUANGAN TERHADAP RETURN ON ASSET BANK PERKREDITAN RAKYAT PADA PT. BPR POLIN JAYA by Dedi Mulyadi, Alexander Din

“…The more efficient or small bank operating costs, the profit gained greater 5. …”
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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…The primary advantage of the proposed method lies in its ability to substantially reduce feature dimensionality without compromising prediction accuracy. …”
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Functional characterization of antimicrobial and antioxidant properties of whole lemon pulp and depectinized lemon pulp as circular by-products in animal nutrition by Cristina Spedale, Sara Frazzini, Luciana Rossi, Matteo Dell'Anno, Vincenzo Chiofalo

“…The increasing demand for sustainable livestock production underscores the need to explore innovative solutions that enhance resource efficiency and minimize waste. Agricultural by-products offer a valuable source of nutrients and bioactive compounds that can be effectively valorised for animal nutrition. …”
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ASHM-YOLOv9: A Detection Model for Strawberry in Greenhouses at Multiple Stages by Yan Mo, Shaowei Bai, Wei Chen

“…We enhanced the YOLOv9 model by introducing the Alterable Kernel Convolution (AKConv) to improve the recognition efficiency while ensuring precision. The squeeze-and-excitation (SE) network was added to increase the network’s capacity for characteristic derivation and its ability to fuse features. …”
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Improving reviewer selection in Open Journal Systems using a Scopus search application programming interface in the by Indra Kharisma Raharjana, Badrus Zaman, Oktavia Intifada Husna, Rizfi Ferdiansyah, Aretha Seno Putri, Fariska Dwi Kartika Sari

“…This study seeks to improve the efficiency and accuracy of the reviewer selection process to ensure high-quality peer reviews. …”
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Nanoparticle-Based mRNA Vaccine Induces Protective Neutralizing Antibodies Against Infectious Bronchitis Virus in In-Vivo Infection by Aseno Sakhrie, Ankarao Kalluri, Zeinab H. Helal, Challa V. Kumar, Mazhar I. Khan

“…<b>Results</b>: The study demonstrated successful binding and transfection efficiency of the in vitro transcription (IVT)-mRNA complexed with the NPs, which was enhanced with chloroquine. …”
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N-body simulation of spinning particle pairs in a complex plasma crystal by Zachary Watson, Parker Adamson, Jorge Martinez-Ortiz, Katrina Vermillion, Calvin Carmichael, Samuel Garcia-Rodriguez, Lorin Matthews, Truell Hyde, Bryant Wyatt

“…Our approach balances computational efficiency with the ability to simulate complex plasma dynamics, providing a powerful tool for the study of dusty plasma crystals.…”
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