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. …”
Get full text

Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

“…Using community detection methods to analyze the differences in attributes, habitats, and topological structures between network communities. …”
Get full text

End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment by Cong Wang, Valerio Mariani, Frédéric Poitevin, Matthew Avaylon, Jana Thayer

“…Using this integrated approach, our pipeline achieves accuracy comparable to traditional methods tuned by human experts while eliminating the need for experiment-specific parameter tuning. …”
Get full text

Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…With the continuous development of integrated energy systems and the flexible interaction between load side and source side resources，existing single load forecasting methods are difficult to grasp the coupling characteristics between multiple loads，resulting in insufficient accuracy in the prediction of multiple loads in integrated energy systems. …”
Get full text

From Reactive to Proactive: Advances Leading the Paradigm Shift in Cholecystitis Management by Tamer A. Addissouky

“…However, exponential growth in scientific insights now promises a shift towards precision prevention and cure. Materials and Methods: Pathophysiological mechanisms involved in cystic duct obstruction by gallstones cause gallbladder stasis, direct mucosal injury, vascular compromise, leukocyte infiltration, and secondary infection. …”
Get full text

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…Electronic Health Records (EHRs) have become an increasingly significant source of information for healthcare professionals and researchers. …”
Get full text

Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model predictive, stochastic, and robust control techniques, have been extensively studied. …”
Get full text

Flue Gas Temperature Distribution as a Function of Air Management in a High-Temperature Biomass Burner by Aleksandra Dzido, Michalina Kurkus-Gruszecka, Marcin Wilczyński, Piotr Krawczyk

“…Nowadays, as a result of the increasing awareness of European societies and new legal regulations, the role of renewable energy sources in individual heating is growing. One of the forms of renewable heat and electricity production is the use of biomass pellet burners coupled with Stirling engines. …”
Get full text

Advances and developments in high strength geopolymer concrete for sustainable construction – A review by V.S. Sujitha, S. Raja, Maher Ali Rusho, Simon Yishak

“…The development and optimization of geopolymer concrete mixtures were discussed, focusing on the selection of raw materials, activators, and curing methods to achieve high-strength characteristics. …”
Get full text

Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
Get full text

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

“…Ensuring the stability and reliability of the grid, particularly with the integration of renewable energy sources and the increase in the number of prosumers, is a primary challenge in this domain. …”
Get full text

A Province-Wide Home Dialysis Program Review: Challenges, Strengths, and Future Strategies by Megan Borkum, Micheli Bevilacqua, Alexandra Romann, Krishna Poinen, Sushila Saunders, Linda Turnbull, R. Suneet Singh, Adeera Levin, Michael A. Copland

“…Sources of information: This review draws on published articles, program reports, and insights from the provincial kidney care program framework. …”
Get full text

Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…In this work, we propose a novel framework that fundamentally advances existing Transformer-based methods through the introduction of the Dynamic Temporal Attention Network (DTAN) and the Hierarchical Temporal Optimization Strategy (HTOS), which jointly address long-term dependency capture, interpretability, and domain-specific adaptation in a unified architecture. …”
Get full text

Limnospira fusiformis from Lake Solenoe, Omsk: Rationalizing Marketing and Research by Elena A. Moliboga, Viktoriya V. Leushkina

“…As a result, food producers turn to alternative protein sources, such as microalgae. Microalgae are rich in protein (60%), unsaturated fatty acids, and other nutrients. …”
Get full text

Epidemiological Rationale for Changing the Strategy and Tactics of Vaccination of Pertussis in Current Conditions by K. A. Subbotina, I. V. Feldblium, E. A. Kochergina, N. A. Lechtina

“…A research objective – definition of the main directions of improvement of epidemiological control of a pertussis on the basis of studying of manifestations of epidemic process and its determinants. Materials and methods. The analysis of incidence is carried out according to official statistics in 19 years, the population antipertussoid immunity is studied by results of routine serological monitoring and specially organized screening researches. …”
Get full text

Large-scale activity-based demand generation modeling: A literature review and exploration of potential approaches by Ngoc An Nguyen, Joerg Schweizer, Federico Rupi

“…Furthermore,potential research directions are also discussed, including the development of travel models for large-scale scenarios using big data sources and the optimization of their integration with dynamic traffic assignment. …”
Get full text

Application of the multiagent approach for modeling integrated energy systems by V. A. Stennikov, E. A. Barakhtenko, G. S. Mayorov

“…Traditionally, the considered energy systems unite large energy sources, such as hydro, thermal power plants, combined heat and power plants, boiler plants and electric and pipeline networks distributed over a large area. …”
Get full text

Identifying Key Parameters for Reducing Recombination Losses at the p-n Junction of Chalcopyrite Thin-Film Solar Cells by Amala Elizabeth, Harry Mönig

“…This allows to develop specific strategies to reduce interface recombination losses for device optimization and improved solar-cell efficiencies.…”
Get full text

Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Accurate wind energy forecasting is essential for energy planning, trading, and grid optimization. This study presents short-term, medium-term, and long-term –wind power forecasts for the Söke–Çatalbük Wind Power Plant in Aydın, Turkey, using meteorological data and production records from 2018 to 2022. …”
Get full text

Improved AODV route recovery in mobile ad-hoc networks using a genetic algorithm by Ahmad Maleki, Mehdi Sadeghzadeh

“…When failure occurs in a route, the proposed method (GAAODV) makes decisions regarding the QOS parameter to select source or local repair. …”
Get full text