Quantifying the Digitalisation Impact on the EU Economy. Case Study: Germany and Sweden vs. Romania and Greece by Ionescu, R.V., Zlati, M.L., Antohi, V.M., Varlanuta, F.O., Stanciu, S.

“…The purpose of this research is the provision of relevant solutions to decision makers in the development of digitalisation. …”
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Propagation of <i>Atriplex halimus</i> (Mediterranean Saltbush) in Multi-Contaminated Mine Tailings by Unrooted Cuttings by Marta Canu, Stefano Milia, Stefano Ubaldini, Elena Tamburini, Alessandra Carucci, Giovanna Cappai

“…Phytotechnologies offer sustainable solutions for remediating mine residues by combining site rehabilitation with the potential recovery of secondary and critical raw materials (SRMs and CRMs, respectively), contributing to resource efficiency strategies. …”
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Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…The proposed approach represents a significant step forward in achieving scalable, explainable, and transferable AI solutions for IIoT ecosystems.…”
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Cadmium Removal from Contaminated Water Using Polyelectrolyte-Coated Industrial Waste Fly Ash by Fatai A. Olabemiwo, Bassam S. Tawabini, Faheemuddin Patel, Tajudeen A. Oyehan, Mazen Khaled, Tahar Laoui

“…This study, therefore, investigates the potential ability of raw fly ash (RFA) and polyelectrolyte-coated fly ash (PEFA) to remove cadmium (Cd) from polluted water. …”
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Development of intelligent packaging from xyloglucan-chitosan modified film with betalains from dragon fruit (Hylocereus undatus) peels by Lasuardi Permana, Pongsert Sriprom, Woatthichai Narkrugsa, Kanjana Manamoongmongkol, Pornsawan Assawasaengrat

“…This study highlight the potential of XC-EB films as sustainable, intelligent packaging solutions for monitoring the protein-rich food freshness, leveraging agricultural byproduct to enhance food safety and reduce waste.…”
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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

“…Measures to assess the prediction ability of models are not optimal. Industry funding or involvement is prevalent in model development. …”
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From Cadavers to Neural Networks: A Narrative Review on Artificial Intelligence Tools in Anatomy Teaching by Srinivasa Rao Sirasanagandla, Sharmila Saran Rajendran, Sreenivasulu Reddy Mogali, Yassine Bouchareb, Noushath Shaffi, Adham Al-Rahbi

“…The application of artificial intelligence (AI) in anatomy teaching is gaining attention due to its potential to support personalized learning and its ability to provide customized, real-time feedback. …”
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Dynamic Deployment of Mobile Roadside Units in Internet of Vehicles by Alaa E. Abdel-Hakim, Wael Deabes, Kheir Eddine Bouazza, Abdel-Rahman Hedar

“…Benchmarking consistently demonstrates the superiority of the proposed method over others, guaranteeing competitiveness and efficiency, with experimental results validating its reliability, real-time responsiveness, and ability to accommodate real-life constraints as needed.…”
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Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms by Retinderdeep Singh, Sheifali Gupta, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Yazeed Yasin Ghadi, Seada Hussen

“…The research shows that deep learning combined with Explainable AI (XAI) operates to generate medical imaging solutions that achieve high accuracy. The proposed system demonstrates readiness for clinical workflows due to its ability to deliver a sophisticated prenatal diagnostic instrument that enhances healthcare results.…”
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Deep learning-based time series prediction in multispectral and hyperspectral imaging for cancer detection by Lijun Hao, Changmin Wang, Jinshan Che, Mingming Sun, Yuhong Wang

“…IntroductionMultispectral and hyperspectral imaging have emerged as powerful tools in medical diagnostics, particularly in cancer detection, due to their ability to capture rich spectral information beyond human vision. …”
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Multi-Band Microwave Rectifiers for RF Energy Harvesting: A Comprehensive Review of Design Techniques and Performance Analysis by Md Ahsan Halimi, Ibraheem Al-Naib, Hussein Attia

“…RF energy harvesting (RF-EH) technology has emerged as a key research direction driven by the increasing demand for sustainable power solutions in applications such as low-power wireless sensors, radio frequency identification (RFID) tags, IoT, and biotelemetry. …”
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Experimental verification of the six sectors neural DTC approach of squirrel cage induction motors by Abdessmad Milles, Habib Benbouhenni, Noureddine Bensedira, Nicu Bizon, Naamane Debdouche, Ilhami Colak, Ghoulemallah Boukhalfa, Z. M. S. Elbarbary, Mohammed M. Alammar

“…Abstract The direct torque control (DTC) approach is one of the suitable solutions for controlling squirrel cage induction machines (SCIMs) due to its distinctive performance compared to other strategies and its simplicity. …”
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Synergistic enhancement of heavy metal tolerance and reduction by indigenous bacterial consortia of Pseudomonas putida and Pasteurella aerogenes by Karzan Qurbani, Hevy Wsw, Rahel Khdhr, Safin Hussein, Bahra Ibrahim, Avin Mahmood, Lanya Hama, Frishta Ibrahim, Omid Amiri

“…Research will evaluate the consortium’s ability to reduce copper (Cu), zinc (Zn), and nickel (Ni) concentrations in different environments. …”
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Application of interactive personnel adaptation: tools and challenges by I. V. Shapka, N. V. Yashkina, A. V. Khridochkin, I. P. Oleshkevich

“…The importance of this approach lies in the ability of companies to create a favorable working environment, promoting active participation of personnel in decision-making processes and the search for innovative solutions. …”
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pH-sensitive materials based on silica with chemically immobilized methyl red: synthesis and protolytic properties by N. V. Roik, L. A. Belyakova, M. O. Dziazko

“…Therefore, the color change of grafted dye takes place in less acidic solutions. The proposed synthetic approach can be used to produce regenerable and eco-friendly pH-sensitive materials. …”
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Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection by Joe Soundararajan, Andrew Kalukin, Jordan Malof, Dong Xu

“…While UAV and ground-based solutions offer fine-grained data, they are often constrained by limited spatial coverage, high operational costs, and logistical challenges. …”
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Kolmogorov–Arnold Finance-Informed Neural Network in Option Pricing by Charles Z. Liu, Ying Zhang, Lu Qin, Yongfei Liu

“…Testing KAFIN under these controlled conditions allows for a rigorous evaluation of its ability to handle the complexities of pricing options across different market assumptions and regulatory constraints. …”
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Green Hydrogen for Energy Transition: A Critical Perspective by Ruggero Angelico, Ferruccio Giametta, Biagio Bianchi, Pasquale Catalano

“…Addressing these barriers requires advancements in electrolyzer efficiency, scalable fuel cell technologies, and efficient storage solutions. Sector-coupled smart grids incorporating hydrogen demonstrate the potential to integrate GH₂ into energy systems, enhancing renewable energy utilization and ensuring system reliability. …”
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Evaluation of climatic resilience in physical aspect (Case study: Naqshe Jahan Neighborhood, Isfahan, Iran) by Elham Ghasemi, Mahdi Soleimani, Mohammad Jazini, Zohreh Sarlaki, Amirmahdi Hajian

“…One of the main solutions to deal with climate change and its resulting crises in cities is urban resilience. …”
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Hardware and software of cubesat nanosatellites` on-board computers: a systematized literature review by Ihor Turkin, Oleksandr Liubimov, Lina Volobuieva, Viacheslav Valkovyi

“…The paper identifies key research areas in this field, contemporary approaches, hardware and software solutions, and outlines promising research trends. …”
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