Wastewater Denitrification with Solid-Phase Carbon: A Sustainable Alternative to Conventional Electron Donors by Dorsa Barkhordari, Jithin Mathew, Basem Haroun, Lars Rehmann, Sudhir Murthy, Domenico Santoro

“…Biological denitrification, the favored method for removing nitrates, typically needs an external carbon source to support microbial processes. …”
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Preparation of Palladium-Impregnated Ceria by Metal Complex Decomposition for Methane Steam Reforming Catalysis by Worawat Wattanathana, Suttipong Wannapaiboon, Chatchai Veranitisagul, Navadol Laosiripojana, Nattamon Koonsaeng, Apirat Laobuthee

“…Palladium-impregnated ceria materials were successfully prepared via an integrated procedure between a metal complex decomposition method and a microwave-assisted wetness impregnation. …”
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Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles by Jialiang Zhang, Jianxiang Zhang, Zhou Chen, Jingsong Wang, Cunqun Fan, Yan Guo

“…It provides a novel tool for space weather warning and shortwave communication optimization. Current limitations include insufficient physical interpretability and prediction uncertainty in GNSS-sparse regions, which could be mitigated in future work through the integration of physical constraints and multi-source data assimilation.…”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

“…In the interconnected power systems, the renewable based hydro power generating plants are generally used as one of the effective renewable energy source due to its capability of high response time against the variable loading conditions in comparison with other renewable based energy sources. …”
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Effects of Sunn Hemp, Vermicompost, and Organic Fertilizers on Organic Strawberry Plant Growth, Yield, and Fruit Quality by Jianyu Li, Jeffrey K. Brecht, Shinsuke Agehara, Xin Zhao

“…Vermicompost also exhibited potential to enhance early-season yields but requires optimization of application method and rate. The first season trial indicated liquid fish fertilizer as a more effective source of in-season N to enhance plant growth and fruit yield. …”
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Enhanced trajectory reconstruction from sparse and noisy GPS data: A progressive chunked transformer approach by Yonghui Liu, Qian Li, Inhi Kim

“…To address these challenges, we propose a progressive chunked transformer (ProChunkFormer), which is a deep learning method for trajectory reconstruction that employs self-attention mechanisms and chunked processing to balance efficiency with accuracy. …”
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. by Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar

“…Since a model is constructed separately for each test point, the proposed method is, indeed, an example of JITL. The JITL-GPR method is easy to use and optimize, and offers a reduction in forecast errors compared to traditional time series methods and a state-of-the-art combination model; therefore, it is a promising tool for NGD forecasting in similar settings.…”
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Vineyard pruning-wood waste valorisation: sustainable extraction of bioactive compounds by Elisabetta Tumminelli, Valeria Cavalloro, Valeria Cavalloro, Chiara Ingrà, Alessandra Ferrandino, Alessio Porta, Giorgio Marrubini, Emanuela Martino, Emanuela Martino, Daniela Rossi, Simona Collina

“…Accordingly, it represents a valuable source of biologically active phytochemicals with potential industrial outcomes.MethodsThe present study aimed to exploit grapevine pruning residues as a source of (E)-resveratrol and (E)-ε-viniferin through the set-up of a low environmental impact procedure which involves first a microwave-assisted solvent extraction (MASE) followed by a protocol suitable for the isolation of (E)-resveratrol and (E)-ε-viniferin from the MASE extract. …”
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Study of the Effects of Hardfacing Modes Carried out by FCAW-S with Exothermic Addition of MnO₂-Al on Non-Metallic Inclusions, Grain Size, Microstructure and Mechanical... by Bohdan Trembach, Illia Trembach, Aleksandr Grin, Nataliia Makarenko, Olha Babych, Sergey Knyazev, Yuliia Musairova, Michal Krbata, Oleksii Balenko, Oleh Vorobiov, Anatoliy Panchenko

“…At the first stage, it is proposed to use the Taguchi plan (L9) method to find the most significant variables. At the second stage, for the development of a mathematical model and optimization, a factorial design is recommended. …”
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Effect of Different Papain Concentrations on Yield and Quality of Tuna Eye Oil by Wini Trilaksani, Tati Nurhayati, Joko Santoso, Bambang Riyanto, Silva Fauziah, Fahri Sinulingga

“… • Enhanced Extraction Methodology: Enzymatic extraction using papain at optimal concentrations significantly improves the yield and quality of tuna eye oil, achieving up to six times higher yield compared to other methods…”
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Feasibility of a Sustainable On-Site Paper Recycling Process by Karl Jakob Levin, David dos Santos Costa, Lii Urb, Anna-Liisa Peikolainen, Tanel Venderström, Tarmo Tamm

“…Several EU initiatives and directives emphasize waste reduction and immediate reuse at the source. This study introduces a novel on-site recycling method for transforming printing house paper waste into high-quality, eco-friendly cardboard without mixing it with lower-quality or heterogeneous waste streams. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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Smooth Guided Adversarial Fully Test-Time Adaptation by Dong Li, Panfei Yang

“…Fully test-time adaptation (FTTA) refers to a specific type of domain adaptation that involves adjusting a pre-trained machine learning model to work with a new target domain, without accessing any data from the source domain. The lack of access to source data makes it more difficult to adjust to the target domain. …”
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DEVELOPMENT OF CONCEPTS NOMENCLATURE FOR CLINICAL DECISION SUPPORT SYSTEM IN DIAGNOSTICS OF ANGINA PECTORIS by K. V. Kiselev, A. V. Potekhina, M. K. Osyaeva, E. A. Noeva, O. N. Vyborov, A. V. Zorin, S. L. Shvyrev, T. V. Martynyuk, T. V. Zarubina, I. Ye. Chazova

“…The final nomenclature validation was performed by semi-automatic method on anonymized 610 electronic health records of the patients.Results. …”
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Low-Frequency Performance Analysis of Semi-Active Cab’s Hydraulic Mounts of an Off-Road Vibratory Roller by Vanliem Nguyen, Jianrun Zhang, Xiuzhi Yang

“…This study proposes an optimal fuzzy-PID control method for semi-active cab’s hydraulic mounts based on an off-road vehicle roller dynamic model to analyze the low-frequency performance of semi-active cab’s hydraulic mounts under the different operating conditions. …”
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Outage probability for cooperative communication system with asymmetric channel by CHUAI Gang1, LIU Sheng1, WEN Xiao-jun1

“…Firstly, a mathematical model of cooperative system in asymmetric channel considering the link diversity gain between the source and destination was presented. An analytical expression of the average outage probability which was proved accurate by simulation was derived by using the method of characteristic function. …”
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Effect of Solvent Pre-Treatment on the Leaching of Copper During Printed Circuit Board Recycling by Ahmed Tarek Ismail Mohamed, Giuliana Schimperna, Gianluca Cantoni, Francesca Demichelis, Debora Fino, Sara Perucchini, Francesca Rubertelli, Francesco Laviano

“…Efficient recycling methods that offer high recovery rates are essential to the full reutilization of these materials. …”
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Chemometrics to connect feedstock quality, process settings and calorific value of hydrochar through infrared spectra by Álvaro Amado-Fierro, Tim Offermans, Jeroen Jansen, Teresa A. Centeno, María A. Díez

“…The current urgent need for clean energy has sparked interest in hydrothermal carbonization (HTC) as a sustainable avenue to convert high moisture biomass wastes into an efficient bioenergy source. Without destructive methodologies and offering distinct advantages (e.g. real-time analysis) over traditional assessments, chemometric methods coupled to Fourier Transform Infrared Spectroscopy (FTIR) is presented as an innovative approach for a rapid assessment of the higher heating value (HHV) of hydrochars. …”
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