Zn-Al layered double hydroxide nanoparticles for efficient removal of food dyes from wastewater by Rasheed M.A.Q. Jamhour, Ashraf M. Al-Msiedeen, Renad Z. Al-Sharaydeh, Mohannad R. Jamhour, Abdelmnim M. Altweiq

“…The ability of layered double hydroxides clay (LDH) produced from ZnAl-NO3 to remove Sunset Yellow FCF (E110), Azorubine (E122), Tartrazine (E102), and Brilliant Blue FCF (E133) from an aqueous solution was studied. …”
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Machine Learning-Based VO₂ Estimation Using a Wearable Multiwavelength Photoplethysmography Device by Chin-To Hsiao, Carl Tong, Gerard L. Coté

“…By providing precise, individualized VO₂ estimates using direct tissue oxygenation data, this wearable solution offers significant clinical and practical advantages over traditional methods, making continuous and accurate cardiovascular assessment readily available beyond clinical environments.…”
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Oil spill cleanup using EDTA-coated magnetite magnetic nanoparticles by Maha J. Awda, Basma A. Abdulmajeed, Zaid Nidhal Shareef

“…Three samples of crude oil with different APIs (23, 28.4, and 40.3) were used to study the ability of coated MNPs for oil spill cleanup.  Removal experiments were conducted at 25°C with a mass range of adsorbent (0.02-0.06 g). …”
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Research on X-Ray Weld Defect Detection of Steel Pipes by Integrating ECA and EMA Dual Attention Mechanisms by Guanli Su, Xuanhe Su, Qunkai Wang, Weihong Luo, Wei Lu

“…Secondly, the Efficient Channel Attention (ECA) attention mechanism is embedded before the Spatial Pyramaid Pooling Fast (SPPF) layer to enhance the model’s ability to extract small targets and key features. …”
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Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

“…Overall, the DENS-INCEP model offers a robust and efficient solution to rice variety identification, addressing global food security challenges while promoting sustainability.…”
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Combined application of life cycle assessment and neural network model for modeling energy and environmental emissions in sugar beet production by Imane Mehdi, Abdelhalim Chmarkhi, Mohammed Ammari, Laïla Ben Allal

“…Current agricultural energy management methods do not sufficiently account for the environmental impacts related to farm size. This gap limits the ability to accurately predict the ecological effects of sugar beet cultivation, particularly regarding climate change, eutrophication, acidification, human toxicity, and terrestrial and aquatic ecotoxicity. …”
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Long-read microbial genome assembly, gene prediction and functional annotation: a service of the MIRRI ERIC Italian node by Sandro Gepiro Contaldo, Sandro Gepiro Contaldo, Antonio d’Acierno, Lorenzo Bosio, Francesco Venice, Elisa Li Perottino, Janneth Estefania Hoyos Rea, Giovanna Cristina Varese, Francesca Cordero, Francesca Cordero, Marco Beccuti, Marco Beccuti

“…Developed as a service of the Italian MIRRI ERIC node, the platform provides a comprehensive solution for analyzing both prokaryotic and eukaryotic genomes, from assembly to functional protein annotation. …”
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Computational Cost and Implementation Analysis of a Wavelet-Based Edge Computing Method for Energy-Harvesting Industrial IoT Sensors by Jaromir Konecny, Jan Choutka, Radim Hercik, Jiri Koziorek, Dangirutis Navikas, Darius Andriukaitis, Michal Prauzek

“…By leveraging a lightweight assembly-level WT implementation, the proposed solution significantly reduces computational costs and energy consumption. …”
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Compatible traits of oleaginous Mucoromycota fungi for lignocellulose-based simultaneous saccharification and fermentation by Cristian Bolaño Losada, Ondrej Slaný, Dana Byrtusová, Boris Zimmermann, Svein Jarle Horn, Achim Kohler, Volha Shapaval

“…Despite the lack of enzymatic capability for efficiently degrading lignocellulose in Mucoromycota fungi, simultaneous saccharification and fermentation (SSF) offers an attractive solution by combining enzymatic hydrolysis and fermentation in the same procedure. …”
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Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors by Bingqin Wang, Long Zhao, Yongfeng Chen, Lingsheng Zhu, Chao Liu, Xuequn Cheng, Xiaogang Li

“…This study established a circulating system to control the concentration of substances and temperature in the aqueous solution. Simultaneously, sensors were used to continuously monitor the corrosion of three pipe materials: ductile iron (DI), surface-treated ductile iron (SDI), and carbon steel (CS). …”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…It is technique-agnostic, scalable, and adaptable to any DR method with available training data, acting as an open decision-support solution. This innovative approach showcases its ability to dynamically select data reduction algorithms for performance enhancement, which can contribute significantly to improving many heterogeneous IoT-based applications. …”
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Optimization method improvement for nonlinear constrained single objective system without mathematical models by HOU Gong-yu, XU Zhe-dong, LIU Xin, NIU Xiao-tong, WANG Qing-le

“…Hence, the SVM-IPSO method provides a new and better solution to this kind of problems.…”
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Optimal Scheduling Strategy for Virtual Power Plant Considering Electricity-Gas-Heat Coupling and Demand Response by Shijie WANG, Tianbo FENG, Ning SUN, Ke HE, Jiawen LI, Cheng YANG, Haoyang CUI

“…The combined heat and power (CHP) units can not meet the maximum heating efficiency and power peak shaving demand in winter at the same time, and there exit problems of insufficient power generation output regulation ability. In view of the above problems, an optimal scheduling strategy for virtual power plant (VPP) is proposed considering electricity-gas-thermal energy coupling and demand response. …”
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BENEFITS OF USE OF ACOUSTIC EMISSION IN SCRATCH TESTING by Lukáš Václavek, Jan Tomáštík, Hana Chmelíčková, Radim Čtvrtlík

“…Continuous recording of acoustic emissions (AE) generated during the test could be a possible solution. It is especially the ability of AE method to detect the very first and even subsurface failures of the material that is of the most importance and otherwise inaccessible by standardly used techniques. …”
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Development and Application of a Modified Biochar-Calcium Alginate Composite (MB-CA) for In Situ Remediation of Cadmium-Contaminated Soil by Sijia Sun, Yuying Wang, Yanru Zhang, Lina Wu, Xinyi Wang, Guoyu Wang, Weitao Sun, Dasong Lin, Yajun Wang

“…This study further discussed the performance and application effect of MB-CA, providing new solutions for soil remediation.…”
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Justifying the selection of a neural network linguistic classifier by Olessia Barkovska, Kseniia Voropaieva, Oleksandr Ruskikh

“…This highlights LSTM's ability to effectively adapt to diverse data types and consistently maintain high accuracy, even with substantial data volumes. …”
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Smart learning using artificial intelligence: Ways to improve the process of teaching general education subjects in higher education (China's experience) by Xiaoyu Wang, Yan Li, Jing Yan

“…The process of teaching general education subjects was chosen for analysis because of their focus on the formation of the general development of students, the ability to be in society, and the foundation for mastering specialized subjects. …”
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The People and the Fire Tree: Co-Designing a Bushfire Early Warning System to Meet the Sustainable Development Goals by Axel Munoz Rivas, Hilary Davis, Sonja Pedell

“…The final solution based on the two concepts is Bushwire, a communication facilitator designed and used by participants in workshops four and five. …”
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PROBLEMS OF DIGITALIZATION OF THE RUSSIAN INDUSTRY by Y. S. Bogachev, P. V. Trifonov, N. M. Abdikeev

“…It is shown that the solution of this problem is possible only on the basis of an industrial development ecosystem – a system of production chains of the most important types of industrial products, a technological development platform, interaction of subjects of industrial production with consumers of its products in the domestic and foreign markets. …”
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Ultrasound‐Responsive Polymeric Piezoelectric Nanoparticles for Remote Activation and Neuronal Differentiation of Human Neural Stem Cells by Arianna Bargero, Matteo Battaglini, Tommaso Curiale, Alessio Carmignani, Margherita Montorsi, Massimiliano Labardi, Carlotta Pucci, Attilio Marino, Gianni Ciofani

“…In this framework, a nanotechnology‐based solution able to remotely trigger the differentiation of human NSCs (hNSCs) into neurons is proposed. …”
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