Testing the limits of short-reads metagenomic classifications programs in wastewater treating microbial communities by Leandro Di Gloria, Lorenzo Casbarra, Tommaso Lotti, Matteo Ramazzotti

“…To support this research, we quantitatively compared classification methods differing in read length (raw reads, contigs and MAGs), overall search approach (Kaiju, Kraken2, RiboFrame and kMetaShot), as well as source databases to assess the classification performances at both the genus and species levels using an in silico-generated mock community designed to provide a simplified yet comprehensive representation of the complex microbial ecosystems found in AS and AGS. …”
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The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring by Carlos Rodriguez-Navarro, Francisco Portillo, Francisco G. Montoya, Alfredo Alcayde

“…The increasing need for efficient energy consumption monitoring, driven by economic and environmental concerns, has made Non-Intrusive Load Monitoring (NILM) a cost-effective alternative to traditional measurement methods. Despite its progress since the 1980s, NILM still lacks standardized benchmarks, limiting objective performance comparisons. …”
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Fault Diagnosis of Hot Rolling Equipment Under Uncertain Conditions Based on Cloud Rough Model, Game Theory, and Improved GRA-TOPSIS by Bo Hu, Yongjun Zhang, Fengwei Jing

“…This study proposes a novel fault evaluation framework: first, a cloud rough model is adopted to handle multi-source uncertainties in expert evaluations; second, game theory is used to optimize the combined weights of subjective and objective criteria; finally, an improved Grey Relational Analysis-Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) method constructs a dual-scale measurement model by fusing grey relational degree and Euclidean distance, effectively reducing the influence of geometric sequence similarity and distance on fault prioritization and enhancing the robustness of ranking results under complex working conditions. …”
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Correcting for case-mix shift when developing clinical prediction models by Haya Elayan, Matthew Sperrin, Glen P. Martin, Niels Peek, Frieder Braunschweig, Jonas Faxén, Joakim Alfredsson, David A. Jenkins

“…This method uses a probabilistic similarity metric to re-weight data samples in the source set (before the case-mix shift) to more closely match the target set (after the case-mix shift), assuming the target set reflects the target population. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study by Alice Schiavone, Lea Marie Pehrson, Silvia Ingala, Rasmus Bonnevie, Marco Fraccaro, Dana Li, Michael Bachmann Nielsen, Desmond Elliott

“…Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. …”
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Supercritical Extraction Technology of Obtaining Polyunsaturated Acids from Starfish (Lysastrosoma anthosticta Fisher, 1922) by Alexander M. Zakharenko, Konstantin Yu. Kirichenko, Igor A. Vakhniuk, Kirill S. Golokhvast

“…Study objects and methods. The study defined the optimal parameters for extracting the lipid fraction of Lysastrosoma anthosticta with supercritical carbon dioxide, as well as the qualitative composition of the obtained extracts. …”
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Hosting capacity in smart distribution systems using OpenDSS tool and Monte Carlo-based methodology by Masic Fatima, Saric Mirza, Hivziefendic Jasna, Dzemic Zijad

“…A considerable increase of the circuit losses is recorded if the optimal penetration of PV is exceeded. The main contribution of this work is the development, testing and implementation of the HC estimation method in complex power systems using open-source tools and integrating them in an innovative fashion. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
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Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps by Thomas Dengiz, Max Kleinebrahm

“…The flexibility of electrical heating devices can help address the issues arising from the growing presence of unpredictable renewable energy sources in the energy system. In particular, heat pumps offer an effective solution by employing smart control methods that adjust the heat pump’s power output in reaction to demand response signals. …”
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Energy Characteristics of Seismic Waves on Cardox Blasting Tube by Xuejiao Cui, Bo Ke, Songtao Yu, Ping Li, Mingsheng Zhao

“…Combining wavelet packet transform decomposition and reconstruction and adaptive optimal kernel time-frequency analysis method, the liquid CO2 energy distribution of the seismic wave signal was further analyzed. …”
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HiGoReg: A Hierarchical Grouping Strategy for Point Cloud Registration by Tengfei Zhou, Jianxiang Gu, Zhen Dong

“…To address the persistent computational bottlenecks in point cloud registration, this paper proposes a hierarchical grouping strategy named HiGoReg. This method incrementally updates the pose of the source point cloud via a hierarchical mechanism, while adopting a grouping strategy to efficiently conduct recursive parameter estimation. …”
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Fault Diagnosis for Rolling Bearings Under Complex Working Conditions Based on Domain-Conditioned Adaptation by Xu Zhang, Gaoquan Gu

“…The method then aligns source and target domain features by minimizing inter-domain feature distribution discrepancies, explicitly mitigating the distribution variations induced by changes in working conditions. …”
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Providing a Control System for Charging Electric Vehicles Using ANFIS by Zahra Mahdavi, Tina Samavat, Anita Sadat Jahani Javanmardi, Mohammad Ali Dashtaki, Mohammad Zand, Morteza Azimi Nasab, Mostafa Azimi Nasab, Sanjeevikumar Padmanaban, Baseem Khan

“…By implementing this method, it is expected that the connection status of electric vehicles can be optimized to help stabilize the grid and minimize frequency fluctuations caused by the integration of distributed renewable energy sources. …”
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Abstract 094: Sudden Onset Dysphagia: A Symptom To Be Aware of During Code Strokes by Aysha Abeer, Wilson Rodriguez, Nicholas Schaper, Yoan Ganev, Gunjanpreet Kaur, Adam Awad, Brian Miremadi

“…In this report we describe the case of a man in his 40s with acute onset dysphagia as the presenting finding ahead of an LMS diagnosis. Methods The patient was identified in routine clinical practice. …”
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Volt/Var Control of Electronic Distribution Network Based on Hierarchical Coordination by Zijie Huang, Kun Yu, Xingying Chen, Bu Xue, Liangxi Guo, Jiarou Li, Xiaolan Yang

“…A variable-slope linear droop control method based on voltage boundary parameter optimization is employed for real-time adjustment of soft open point (SOP) and inverter outputs. …”
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Risk-communication issues in radiation safety: еvaluation of public awareness in St. Petersburg and the Leningrad region on the activities of the nuclear industry and public unders... by G. V. Arkhangelskaya, S. A. Zelentsova, N. M. Vishnyakova, E. V. Khramtsov, K. V. Varfolomeeva, N. V. Sokolov, V. S. Repin

“…According to the results of the study, it can be concluded that the population of the studied region is poorly informed about the existing radiation situation and the nuclear industry projects. It requires an optimization of the choice of methods for risk communication.…”
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Characterization of Red Dragon Fruit Wine Fermented with a Newly Identified Yeast Strain Saccharomyces cerevisiae M7 by Tran Thanh Quynh Anh, Nguyen Tien An, Do Thi Bich Thuy

“…The most potent candidate was identified by the DNA sequencing method and subjected to an optimization study using a one-factor-at-a-time approach to optimize the conditions for red dragon fruit wine fermentation. …”
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Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. …”
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