DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Abstract Objective The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques. Material An open-source collection of fruit disease images, comprising both diseased and healthy samples from the first five fruit types, was used in this study. …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Wind energy plays a crucial role as a renewable source for electricity generation, especially in remote or isolated regions without access to the main power grid. …”
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Costing of the breeding operations for the national maize programs in Eastern and Southern Africa by Biswanath Das, Biswanath Das, Samuel K. Mutiga, Samuel K. Mutiga, Olivia Odiyo, Olivia Odiyo, Sammy Madahana, Sammy Madahana, Dragan Milic, Dragan Milic, Lubasi Sinyinda, Kabamba Mwansa, Ronica Mukaro, Davison Chaingeni, Godfrey Asea, Daniel B. Kwemoi, Lennin Musundire, Lennin Musundire

“…Breeding programs are being guided in using the University of Queensland’s open-source breeding costing tool (UQ-BPCT). This paper outlines the costing strategy and demonstrates the tool’s utility using data from national breeding programs in Uganda (NARO), Zambia (ZARI), and Zimbabwe (DR&SS). …”
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Simulation of Solar Energetic Particle Events Originated from Coronal Mass Ejection Shocks with a Data-driven Physics-based Transport Model by Lei Cheng, Ming Zhang, Ryun Young Kwon, David Lario

“…The model includes an SEP source term aligned with the theory of diffusive shock acceleration by the CME-driven shock. …”
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Structural characteristics, multifunctional applications, and research prospects of ferritin: a case study of sturgeon ferritin by Nida Maqsood, Zuoliang Tang, Abu Zar Ghafoor, Shuhong Li, Zhiqing Zhang, Anjun Chen, Zhiyong Zou, Man Zhou, Meiliang Li

“…In biomedicine, ferritin is utilized in tumor imaging, targeted therapy, and inflammation biomarker detection. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…After identifying significant factors, the Box–Behnken design was utilized to identify the optimal extraction parameters. …”
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Nanomaterials-assisted photothermal therapy for breast cancer: State-of-the-art advances and future perspectives by Sagnik Nag, Oishi Mitra, Garima Tripathi, Israrahmed Adur, Sourav Mohanto, Muskan Nama, Souvik Samanta, B.H. Jaswanth Gowda, Vetriselvan Subramaniyan, Vino Sundararajan, Vinoth Kumarasamy

“…Due to its spatial specificity and nominal invasive therapeutic regime, photothermal therapy (PTT) has attracted much scientific attention down the lane. PTT utilizes a near-infrared (NIR) light source to irradiate the tumor target intravenously or non-invasively, which is converted into heat energy over an optical fibre. …”
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Thermal conductivity of cement-based honeycomb materials: A comparative analysis of T-Shaped vs. H-shaped structural designs by Silong Wang, Junxiang Hu, Yuan Gao, Youjian Zhang, Xiaoxuan Gao, Qiangru Shen, Yanming Liu, Jing Chen

“…These advancements in the design and optimization of cement-based honeycomb materials represent a significant step toward the development of more efficient insulation materials.…”
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Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation by Bailin Tian, Fangyuan Wang, Pan Ran, Luhan Dai, Yang Lv, Yuxia Sun, Zhangyan Mu, Yamei Sun, Lingyu Tang, William A. Goddard, Mengning Ding

“…Abstract Electro-selective-oxidation using water as a green oxygen source demonstrates promising potential towards efficient and sustainable chemical upgrading. …”
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Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images by Dylan Russon, Antoine Guennec, Juan Naredo-Turrado, Binbin Xu, Cédric Boussuge, Valérie Battaglia, Benoit Hiron, Emmanuel Lagarde

“…This study proposes the deployment of advanced deep learning neural networks to automate the assessment of pedestrian crossings and roundabouts, leveraging aerial and street-level imagery sourced from Google Maps and Google Street View. Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.Our methodology incorporates Mask R-CNN for precise segmentation and detection of zebra crossings and roundabouts, overcoming traditional data annotation challenges and extending coverage to underrepresented areas. …”
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Use ATCCfinder to identify commercially available American Type Culture Collection strains based on sequence queries by Samuel I. Koehler, Earl A. Middlebrook, Blake T. Hovde, Erik R. Hanschen

“…Microbiology research was conducted for decades before widespread availability of sequencing resources and large culture collection sequence repositories, making it challenging to efficiently identify and validate strains used in historical studies. …”
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Comparative study of agricultural parcel delineation deep learning methods using satellite images: Validation through parcels complexity by Amine Hadir, Mohamed Adjou, Olga Assainova, Gaëtan Palka, Marwa Elbouz

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Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments by Salman Tariq, Mohamed Shaaban, Hazlie Mokhlis, Nurulafiqah N. Mansor, Hasmaini Mohamad

“…The proposed BC-based structure allows generators to participate in the short-term scheduling mechanism (such as day-ahead) in a trust-free environment without sharing their vital data yet achieving efficient, market-grade solutions. The feasibility of this new proposition is demonstrated through three different application scenarios, utilizing real-world load and renewable generation profiles sourced from the respective Grid System Operators databases. …”
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Recent HPLC-UV Approaches for Cannabinoid Analysis: From Extraction to Method Validation and Quantification Compliance by Eduarda M. P. Silva, Antonella Vitiello, Agnese Miro, Carlos J. A. Ribeiro

“…Notably, ultrasound extraction has emerged as the most widely utilized technique across various matrices, with Deep Eutectic Solvents (DESs) offering a promising, efficient, and environmentally friendly extraction alternative. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The model integrates the original YOLOv8n with a lightweight StarNet to form a dual-backbone structure, enabling efficient multi-channel feature fusion and enhancing fine-grained maturity feature extraction. …”
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Improving the Physical and Mechanical Properties of Cornstarch-Based Materials Using Polymer Admixtures by Shibli Sadik Tulip, Ewumbua Monono, Ademola Hammed, Niloy Chandra Sarker

“…Cement is widely used as an efficient binding agent in concrete; however, the production of cement is the second-largest source of carbon emissions. …”
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Eliminating viscosity challenges in continuous cultivation of yeast producing a GLP-1 like peptide by Ioannis Voulgaris, Anders Nygaard Nielsen, Tine Petersen, Sanne Jensen

“…Abstract Background The emergence of GLP-1s for the treatment of diabetes, obesity and other diseases has led to increased focus on finding efficient ways to produce the peptides in sufficient amounts to satisfy the ever-increasing demand. …”
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Prognosis of air quality index and air pollution using machine learning techniques by Mostafa M. Abdelmalek, Hatem Mahmoud, Hassan Shokry

“…Such tools can assist in devising more efficient air pollution control strategies, contributing to improved public health and environmental sustainability.…”
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Estimating net energy for activity for grazing beef cattle by integrating GPS tracking data, in-pasture weighing technology, and animal nutrition models by Logan Riley Vandermark, Jameson R. Brennan, Krista Ann Ehlert, Hector M. Menendez

“…Beef cattle production is largely dependent on rangelands for cattle to convert unusable plant-based fibers into an animal-based protein source for human consumption. Solutions are needed to meet both the growing demand for animal-based proteins and the desire of managers to produce energy-efficient cattle. …”
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