An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…Workpiece surface quality is a critical metric for assessing machining quality. However, due to the complex coupling characteristics of cutting factors, accurately predicting surface roughness remains challenging. …”
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Dispersive Liquid-Liquid Microextraction of Bismuth in Various Samples and Determination by Flame Atomic Absorption Spectrometry by Teslima Daşbaşı, Şenol Kartal, Şerife Saçmacı, Ahmet Ülgen

“…In this method, crystal violet was used as counter positive ion for BiCl4- complex ion, chloroform as extraction solvent, and ethanol as disperser solvent. …”
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An Innovative Framework for Quality Assurance in Logistics Packaging by Henriett Matyi, Péter Tamás

“…<i>Background</i>: As a result of the effort to satisfy unique customer needs, the complexity of production and service processes is constantly increasing. …”
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Classification of power quality disturbances in microgrids using a multi-level global convolutional neural network and SDTransformer approach. by Junzhuo Jiang, Hao Wu, Changhua Zhong, Hong Song

“…The model effectively retains the signal's original one-dimensional temporal attributes while also delving into more complex features. This approach exhibits strong resistance to noise and enhanced generalization skills, markedly improving the detection accuracy of power quality issues within microgrids.…”
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Securing innovation at sea: Cyber risk management for SMEs in ship design by Mirela-Alexandra Ungureanu, Eugen Gavan, Carmen Gasparotti

“…The paper presents a structured approach to cyber risk management based on established frameworks, emphasizing the protection of valuable intellectual property while maintaining operational efficiency. We propose practical recommendations for implementing robust cybersecurity measures within the resource constraints typical of SMEs, including strategies for threat detection, incident response, and recovery planning.…”
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Generation of Genuine Multipartite Entangled States via Indistinguishability of Identical Particles by Kobra Mahdavipour, Farzam Nosrati, Stefania Sciara, Roberto Morandotti, Rosario Lo Franco

“…We also show that this graph-theoretical approach allows for the optimization of the generation efficiency of specific multipartite entangled states by exploring a variety of generation schemes. …”
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Overview of technical advances in the diagnosis and treatment of pulp and periapical diseases by LI Mengyuan, LIU Jie, ZHANG Yuerong, JIANG Fei, ZHANG Guangdong

“…The application of multimodal imaging, artificial intelligence, and molecular biology detection technologies has introduced new dimensions to the diagnosis and treatment of pulp diseases. …”
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Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…From retail banking to investment firms, financial organizations are progressively implementing AI and ML technologies to improve decision-making and enhance the customer experience. Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Simple and robust in vivo engineering of plasmid DNA at any copy number in Escherichia coli by Ana G. V. Sepulchro, Hendrikje C. J. Kozlowski, Morten H. H. Nørholm

“…Here, we present a robust methodology for plasmid recombineering in E. coli using a triple-selection system customized for efficient performance at any copy number. …”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, particularly in complex backgrounds. …”
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Pseudoneutralizing test for preclinical studies of vaccines against SARS-CoV-2 by B. S. Cherepovich, A. M. Kudryashova, N. P. Kartashova, A. V. Gracheva, V. A. Manuilov, I. A. Leneva, O. V. Borisova, O. A. Svitich

“…The purpose of this study was to evaluate efficiency of a competitive enzyme immunoassay which specifically detects antibodies that recognize the receptor-binding domain at the S1 subunit of SARS-CoV-2 coronavirus spike protein and block the formation of initiator infection complex between RBD and angiotensinconverting enzyme 2 (pseudo-neutralizing test, PNT) being applied at the stage of preclinical studies of anti- SARS-CoV-2 vaccine. …”
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Methodology for assessing the social effectiveness of exhibition activity by Yu. V. Vorontsova, D. S. Garbuz

“…The article presents the methodology developed by the authors for the quantitative assessment of social efficiency, which is complex and also includes the calculation of the selected elements’ sensitivity of social efficiency to different changes. …”
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Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…Traditional fire detection systems that rely on single IoT sensors, like heat or smoke detectors, are prone to inaccuracies and delayed responses, particularly in noisy or complex industrial environments. …”
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An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant <i>Terminalia chebula</i> Using Ultra-High-Performance Liquid... by Jia Yu, Xinyan Zhao, Yuqi He, Yi Zhang, Ce Tang

“…This strategy demonstrates high efficiency in resolving complex polyphenolic and triterpenoid profiles and enables rapid annotation of both known and novel metabolites. …”
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Hybrid FFT-ARMA-Burg Modeling and LSTM-Enhanced BBO Optimization for Fault Diagnosis in Induction Motors by Khadidja Boudraa, Mohammed Assam Ouali, Mohamed Ladjal

“… Induction motors (IM) are crucial in industrial systems, and fault diagnosis reliably and effectively is of importance for maintaining efficiency. The detection of a broken rotor bar(RBB) is one of the most challenging tasks in condition monitoring due to the complexity of fault features in motor current signals. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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Enhancing Bottleneck Analysis in Ship Manufacturing with Knowledge Graphs and Large Language Models by Yanjun Ma, Tao Wu, Bin Zhou, Xiaoyang Liang, Jiwang Du, Jinsong Bao

“…This approach provides a scalable and efficient solution for analyzing complex bottleneck issues in industrial production, contributing to enhanced manufacturing efficiency and digital transformation.…”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…To address these challenges, we propose the Multi-UAV Reconnaissance Proximal Policy Optimization (MURPPO) algorithm based on a distributed reinforcement learning framework, which utilizes an independent decision making mechanism and collaborative positioning method with multiple UAVs to achieve high-precision detection and localization of radiation sources. We adopt a dual-branch actor structure for independent decisions in UAV control, which reduces decision complexity and improves learning efficiency. …”
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A Comprehensive Review of Advanced Lactate Biosensor Materials, Methods, and Applications in Modern Healthcare by Yifeng Ding, Liuhong Yang, Jing Wen, Yuhang Ma, Ge Dai, Fengfeng Mo, Jiafeng Wang

“…Conventional lactate assays are insufficient to address today’s complex and variable testing environments, and thus, there is an urgent need for highly sensitive biosensors. …”
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CO₂ Interaction Mechanism of SnO₂-Based Sensors with Respect to the Pt Interdigital Electrodes Gap by Adelina Stanoiu, Alexandra Corina Iacoban, Catalina Gabriela Mihalcea, Ion Viorel Dinu, Ovidiu Gabriel Florea, Ioana Dorina Vlaicu, Cristian Eugen Simion

“…Complex phenomenological investigations showed that moisture significantly affects the gas sensing performance. …”
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