Evaluating chain-of-thought prompting in a GPT chatbot for BCID2 interpretation and stewardship: how does AI compare to human experts? by Daniel M. Tassone, Matthew M. Hitchcock, Connor J. Rossier, Douglas Fletcher, Julia Ye, Ian Langford, Julie Boatman, J. Daniel Markley

“…However, accurate interpretation and antimicrobial optimization require Infectious Disease (ID) expertise, which may not always be readily available. …”
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Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…The proposed method minimizes the impact of environmental noise and maintains the fault diagnosis performance in altered environments. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…Abstract Analogue series (AS) are generated during compound optimization in medicinal chemistry and are the major source of structure–activity relationship (SAR) information. …”
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Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies by Batchu Veena Vani, Dharavath Kishan, Md Waseem Ahmad, Ch. Rama Prakasha Reddy

“…This article presents a method using the Bat Algorithm (BA) improved by chaotic diversification as well as social education to optimize the power source replacement and the electric vehicle charging procedure. …”
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Gas Chromatography/Atmospheric Pressure Chemical Ionization-Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of Pyrolysis Oil from German Brown Coal by Jan Zuber, Marius M. Kroll, Philipp Rathsack, Matthias Otto

“…Development of this ultrahigh-resolving analysis method is described, that is, optimization of specific GC and APCI parameters and performed data processing. …”
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Optimising sample preparation to enhance contrast-to-noise ratio in X-ray phase contrast tomography white matter (WM) imaging of the central nervous system by Michela Fratini, Michela Fratini, Lorenzo Massimi, Francesco Brun, Darren Batey, Inna Bukreeva, Alberto Mittone, Alberto Bravin, Elena Longo, Giuliana Tromba, Federico Giove, Federico Giove, Silvia Cipiccia, Alejandra Sierra

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A Hybrid Mechanism to Detect DDoS Attacks in Software Defined Networks by ÙAfsaneh Banitalebi Dehkordi, MohammadReza Soltanaghaei, Farsad Zamani Boroujeni

“…Given the importance of this issue,the purpose of this paper is to increase the accuracy of DDoS attack detection using the second order correlation coefficient technique based on â…-entropy according to source IP and selection of optimal features.To select the best features, by examining the types of feature selection algorithms and search methods, the WrapperSubsetEval feature selection algorithm, the BestFirst search method, and the best effective features were selected. …”
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Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches by Fatemeh Mohammadinia, Ali Ranjbar, Fatemeh Ghazi, Seyyed Taha Hosseini

“…Abstract Accurately estimating the Rate of Penetration (ROP) in drilling operations remains a significant challenge due to the limitations of traditional approaches, which are often characterized by low accuracy and reliance on empirical equations with assumed coefficients. These methods, while optimized for specific fields, often fail to generalize across different geological contexts. …”
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Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies by Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak

“…Additionally, we contrast parameter-efficient adapter methods with full-parameter fine-tuning. Our results show that IT generally performs better in the target language, whereas CLV more effectively preserves source-language knowledge across multiple cross-lingual transfers. …”
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Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System by Hong Wang, Hong Li

“…Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. …”
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Semi-supervised gearbox fault diagnosis under variable working conditions based on masked contrastive learning by ZHANG Huiyun, ZUO Fangjun, LI Hang, YU Xi

“…Finally, during the fine-tuning phase, a domain-conditioned feature correction strategy was introduced to generate target domain feature corrections. By aligning source domain features and target domain corrected features according to the metric of minimizing domain feature distribution discrepancies, the method explicitly reduces the domain distribution differences caused by varying working conditions. …”
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Frequency minimum inertia calculation of complex power systems based on an improved simulated annealing algorithm by Qiang Zhang, Qi Jia, Tingqi Zhang, Hui Zeng, Chao Wang, Wansong Liu

“…In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high proportion of new energy access, the background and purpose of the study are stated in the introduction; methodologically, based on the frequency response model of the power system, we analyze the time and magnitude of the maximum frequency offset, clarify the factors affecting the frequency stability and construct the mathematical relationship, and then build a model for assessing the minimum inertia of the power system taking into account the virtual inertia of the new energy source. Then, based on the whole process of frequency response, we construct a power system minimum inertia assessment model taking into account the virtual inertia of new energy sources, and introduce an improved simulated annealing algorithm to solve the problem; the results validate the accuracy of the method through the IEEE-14 node model; the discussion section points out that this method provides a feasible solution for the inertia situational awareness of power system, which is helpful for the optimization of the operation, and also proposes that in the future we can take into account more uncertainties to improve the model and algorithm and to enhance the practicability and adaptability of this method. …”
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Progress and prospect of blue food research: Analysis based on “Web of Science” literature by ZHANG Yu, LIU Jiaming, ZHU He, ZHANG Jinhe, TIAN Qing, WANG Mengfan

“…By comprehensively sorting out the development context and research trends of blue food, its hot topics and future development direction can be further summarized. [Methods] Based on the “Web of Science Core Collection (1985-2023)” as the data source, this study analyzed the relevant research results of blue food based on CiteSpace software, and discussed the research framework and future key issues of blue food from the perspective of geography. …”
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Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

“…Parameters from point-of-care arterial blood gas (BG) analysis are used in the diagnosis and definition of syndromes such as sepsis and ARDS, but manual entry of the blood source (arterial or venous) into the PDMS introduces the risk of mislabeling venous samples as arterial. …”
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Synthesis of 1-(2-Hydroxy-5-methylphenyl)-5-oxopyrrolidine-3-carboxylic Acid Derivatives as a Promising Scaffold Against Disease-Causing Bacteria Relevant to Public Health by Karolis Krikštaponis, Jūratė Šiugždaitė, Rita Vaickelionienė, Vytautas Mickevičius, Birutė Grybaitė

“…The test results show the potential of the newly obtained derivatives as a source of antibacterial agents. Therefore, further studies on the molecular optimization of these compounds are necessary for the development of new antibacterial drugs.…”
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Occurrence of antibiotics and antibiotic resistance genes at various stages of different aquaculture modes surrounding Tai Lake, China by Congcong Wu, Congcong Wu, Haitao Ye, Mingzhu Xu, Xuan Zhao, Xuejie Zhao, Lina Li, Mingzhi Li, Yanfei Wei, Yuru Li, Baolan Hu, Baolan Hu

“…IntroductionAquaculture is an important source of antibiotics and ARGs in environmental waters. …”
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Research on green supply chain finance risk identification based on two-stage deep learning by Ying Liu, Sizhe Li, Chunmei Yu, Mingli Lv

“…However, the complex interdependence and information asymmetry among green supply chain finance enterprises result in data characteristics such as multi-source small samples and high-dimensional imbalance. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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Economic and Social Aspects of the Space Sector Development Based on the Modified Structure–Conduct–Performance Framework by Michał Pietrzak

“…Not surprisingly, governments are still the major source of demand, dominating midstream in the space value chain. …”
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The main aspects of medical supply in armed forces of NATO member countries by M. V. Bilous, O. P. Shmatenko, O. A. Ryzhov, D. V. Drozdov

“…Materials and Methods. On this issue the review of foreign and domestic scientific sources and the existing legal framework has done to reach the aim of our work. …”
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