MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…Recent advances have highlighted the effectiveness and ability of Machine Learning (ML) models in analyzing Remote Sensing (RS) data for this purpose. …”
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Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…These methodologies were selected for their ability to provide complementary information on the chemical composition and physical properties of materials. …”
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ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound by Anton Orlichenko, Grant Daly, Ziyu Zhou, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

“…FC in particular usually contains tens of thousands of features per subject, and can only be summarized and efficiently explored using visualizations. To remedy this situation, we have developed ImageNomer, a data visualization and analysis tool that allows inspection of both subject-level and cohort-level demographic, genomic, and imaging features. …”
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Inactivation of Emerging Opportunistic Foodborne Pathogens <i>Cronobacter</i> spp. and <i>Arcobacter</i> spp. on Fresh Fruit and Vegetable Products: Effects of Emerging Chemical an... by Junior Bernardo Molina-Hernandez, Beatrice Cellini, Fatemeh Shanbeh Zadeh, Lucia Vannini, Pietro Rocculi, Silvia Tappi

“…This review provides the fruit and vegetable industry with a general overview of possible decontamination alternatives to develop optimal and efficient processes that ensure food safety.…”
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Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features by Benyamin Khajetash, Seied Rabi Mahdavi, Alireza Nikoofar, Lee Johnson, Meysam Tavakoli

“…Ensemble classifiers are more efficient than individual classifiers in prediction of early xerostomia.…”
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Multiple factors based adaptive laboratory evolution strategy enhances DHA production in Aurantiochytrium sp. PKU#Mn16 by rewiring key metabolic pathways by Xueyan Ding, Xingyu Zhu, Yuetong Zhao, Ningdong Xie, Guangyi Wang

“…Abstract Background Marine protists Aurantiochytrium are recognized as promising sources for commercial lipid production, particularly due to their ability to produce high-value natural compounds like docosahexaenoic acid (DHA). …”
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Improvement in Biological Performance of Poly(Lactic Acid)-Based Materials via Single-Point Surface Modification with Glycopolymer by Viktor Korzhikov-Vlakh, Ekaterina Sinitsyna, Kirill Arkhipov, Mariia Levit, Evgenia Korzhikova-Vlakh, Tatiana Tennikova

“…The developed single-point polymer grafting approach provided the efficient functionalization with a grafting density in the range of 5–23 nmol/cm². …”
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Genistein Improves the Cytotoxic, Apoptotic, and Oxidative-Stress-Inducing Properties of Doxorubicin in SK-MEL-28 Cancer Cells by Andrea Roman, Andrei Motoc, Iasmina Marcovici, Cristina Dehelean, Laura Nicolescu, Casiana Boru

“…Genistein (GEN) gathered significant attention due to its anti-neoplastic properties and ability to enhance the effects of DOX against several cancers, yet this association remains underexplored in CM. …”
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Effect and mechanisms of chelating agents on pore structure variation and permeability enhancement of low permeability coal seams by Shuya CHEN, Jihua CAI, Xianyu YANG, Fudong XIN, Lu ZHANG

“…These findings can provide valuable ideas for efficient exploration and development of low-permeability coalbed methane.…”
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Utilizing Virtual Reality in the participatory urban policy-making process: A step toward facilitating effective citizen engagement by A. Shakibamanesh, M. Ghorbanian, S. Izadi, A. Riahi, P. Zeifodini

“…By providing immersive simulations, virtual Reality can improve transparency, enhance stakeholder collaboration, and facilitate informed decision-making in urban planning. The technology's ability to engage diverse demographic groups, particularly those reluctant to engage in traditional methods, shows promise for making urban policy discussions more interactive and understandable. …”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…DLMNet features: (1) an efficient channel and spatial attention mechanism (ECSA) that suppresses high sunlight reflection noise and enhances details under low sunlight conditions, and (2) a dynamic feature fusion module (DFFM) that improves tassel recognition through dynamic fusion of shallow and deep features. …”
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Building sustainable information systems and transformer models on demand by Thomas Asselborn, Sylvia Melzer, Simon Schiff, Magnus Bender, Florian Andreas Marwitz, Said Aljoumani, Stefan Thiemann, Konrad Hirschler, Ralf Möller

“…In the humanities, evaluating numerous data sets efficiently is crucial for current and future projects. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Fused model representations revealed optimized layer fusion and reduced computational overhead (GFLOPs), facilitating efficient deployment. Confusion-matrix analyses confirmed YOLOv11x’s ability to reject background clutter more effectively than YOLOv12x, whereas precision–recall and F1-score curves indicated both models maintain near-perfect detection balance across thresholds. …”
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Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

“…The results from both training and testing phases demonstrate that the framework's ability can successfully detect both eels and non-eel fish in preprocessed sonar images, achieving F1-scores and mAP@0.50 exceeding 0.80. …”
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Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application by Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek

“…In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. …”
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Supramolecular Organic Framework with Multidimensional Storage Spaces for Ultrahigh-Capacity Iodine Capture from Seawater by Lijuan Feng, Jun Zhang, Jiacheng Zhang, Xuewen Cao, Zhanhu Guo, Yihui Yuan, Ning Wang

“…Seawater is the largest iodine reservoir on Earth, but efficient chemical methods for recovering iodine from seawater are still lacking. …”
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Isolation and evaluation of Cyberlindnera fabianii strains to improve cigar tobacco leaves fermentation effect by Sida Guo, Sida Guo, Yasen Li, Yasen Li, Zhen Yang, Zhen Yang, Qianying Zhang, Pinhe Li, Pinhe Li, Zhongrong Jiang, Jiabao Zhang, Yu Cao, Zhengcheng Zhang, Zhengcheng Zhang, Dongliang Li

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Enhanced in vivo Stability and Antitumor Efficacy of PEGylated Liposomes of Paclitaxel Palmitate Prodrug by Wu X, Wang X, Zhang H, Chen H, He H, Lu Y, Tai Z, Chen J, Wu W

“…Our in vivo imaging experiments demonstrated that PTX-PA-L labeled with DiR has greater stability in vivo than blank liposomes and that PTX-PA-L can target drugs to the tumor site and efficiently release PTX to exert antitumor effects. …”
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Multifunctional MeHA hydrogel for living materials delivery with enhanced cartilage regeneration by Qunchao Chen, Qunchao Chen, Lang Bai, Guoyang Wan, Yuefeng Hao, Xing Yang, Hongtao Zhang

“…We evaluated the effectiveness of MeHA@J@DM in cartilage cell migration, where juvenile cartilage showed greater efficiency and remodeling abilities. In vivo rabbit cartilage defect models demonstrated superior cartilage regeneration with the MeHA@J@DM hydrogel. …”
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Influence of Sodium Alginate Concentration on Microcapsules Properties Foreseeing the Protection and Controlled Release of Bioactive Substances by Kamal Essifi, Mohamed Brahmi, Doha Berraaouan, Abderrahim Ed-Daoui, Ali El Bachiri, Marie-Laure Fauconnier, Abdesselam Tahani

“…To understand the abilities of Ca-alginate microcapsules and their specific applications in different fields, it is necessary to determine the physicochemical and structural properties of those formulated microcapsules. …”
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