Gram‐Scale Preparation of Tri‐Coordinated Single‐Atom Catalysts for CO2 Electrolysis in Large‐Scale Membrane Electrode Assembly by Lei Yuan, Xin Li, Guilin Li, Kuilin Peng, Hongyu Zhang, Shaojuan Zeng, Xiaofu Sun, Xiangping Zhang

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Rapid diagnosis of adult-type diffuse glioma using a layered scheme by Jinsong Wu, Shuai Wu, Dandan Cao, Zhang Xiong, Jianhua Zhang, Yourui Zou, Zanyi Wu, Yanli Nie, Chen Luo, Ye Yao, Yanyan Song, Yuchen Jiao, Hong Chen, Hui Ma, Dezhi Kang, Ying Mao, Hai Yan

“…Abstract Background Molecular biomarkers have become an essential part of the diagnosis of adult-type diffuse glioma. Still, complex detection methods and long-term turnaround for these biomarkers hinder integrated diagnosis in clinical practice. …”
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Predictors for estimating subcortical EEG responses to continuous speech. by Joshua P Kulasingham, Florine L Bachmann, Kasper Eskelund, Martin Enqvist, Hamish Innes-Brown, Emina Alickovic

“…Crucially, computing predictors from these simpler models is more than 50 times faster compared to the complex model. This work paves the way for efficient modelling and detection of subcortical processing of continuous speech, which may lead to improved diagnosis metrics for hearing impairment and assistive hearing technology.…”
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APPROACH TO OPTIMISING AND MANAGING WAREHOUSE STOCKS IN A CAR SERVICE by Ivan Beloev, Dimitar Grozev

“… The automotive service industry is characterised by a high degree of complexity and dynamism in its logistics processes. …”
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Influence of modification of the cast metal structure by solid phase particles on the nucleation of crystallization centers and their stability by Е.Н. Еремин

“…The obtained conclusions make it possible to select the composition of complex modifiers that allow controlling the structure of castings in the process of their crystallization. …”
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ETIA: Enhancing Text2Image Surround View Scene Generation With Semantic Annotation via Diffusion for Autonomous Driving by Ramyashree, S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, P. Malashree

“…Generating high-fidelity surround view images from text prompts is a complex task that requires balancing contextual coherence with computational efficiency. …”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In response to the complex format of satellite data from multiple channels, CMA has developed a standard format of high time-sensitive satellite data splicing technology in the pre-processing of satellite data assimilation, which effectively reduces the negative impact of the time lag of whole-orbit satellite data on operational numerical prediction. …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Ethical considerations, including data privacy and the interpretability of complex AI algorithms, also warrant careful attention. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…By combining blockchain’s decentralized storage capabilities with DRL’s dynamic optimization potential, the system demonstrates a scalable and efficient approach for distributed data analysis in complex scenarios.…”
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The clean analysis process of Mn2+ for industries: a comparative study on direct determination of high-concentration Mn2+ in solution using spectrophotometry by Yanli Xu, Fuyuan Xu, Yong Liu, Guangbin Zhu, Ying Chen, Ning Duan

“…Traditional detection method like potassium periodate spectrophotometry (PPS) method is limited to low concentrations and involve complex processes that contribute to secondary pollution. …”
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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
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Optimized step size control within the Rosenbrock solvers for stiff chemical ordinary differential equation systems in KPP version 2.2.3_rs4 by R. Dreger, T. Kirfel, T. Kirfel, A. Pozzer, S. Rosanka, R. Sander, D. Taraborrelli, D. Taraborrelli

“…The latter is crucially dependent on the efficiency of the step size control. Our analysis indicates that the local error, which is the key factor for the step size selection, is often overestimated, leading to very small substeps. …”
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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
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Micro-Computed Tomography Analysis of Reciprocating Systems in Three-Dimensional Models of Mandibular Premolars with Two Canals by María Medina-Gil, Ana Martín-Díaz, Natalia Navarrete, José Aranguren, P. S. Ortolani-Seltenerich, Giulia Malvicini, Gaya C. S. Vieira, Alejandro R. Pérez

“…Clinically, these findings suggest that instrument selection should balance shaping efficiency with dentin preservation. …”
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A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing by Julio Juárez, Jesús Guillermo Falcón-Cardona, José Carlos Ortiz-Bayliss

“…Specifically, we introduce a steady-state $$\mu$$ Genetic Algorithm (SS $$\mu$$ GA) to generate selection HHs, benefiting from the gradual population updates of steady-state GAs and the efficiency of $$\mu$$ GAs with smaller populations for faster iterations. …”
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Chlorella vulgaris mutants with altered cell walls show increased permeability and enhanced extractability of intracellular molecules by Paolo Canteri, Claudia Battarra, Giulia Mandalà, Francesca Monti, Erika Bellini, Nora Hidasi, Zeno Guardini, Simone Ferrari, Roberto Bassi, Luca Dall’Osto

“…Engineering Chlorella species has been made difficult by their chemically complex and highly resistant cell wall, making transformation difficult. …”
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Building a Hand-Curated ceRNET for Endometrial Cancer, Striving for Clinical as Well as Medicolegal Soundness: A Systematic Review by Roberto Piergentili, Stefano Sechi, Lina De Paola, Simona Zaami, Enrico Marinelli

“…The main limitation of this search is the highly stringent selection criteria, possibly leading to an underestimation of the complexity of the networks identified. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…Abstract Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. …”
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Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…The YOLOv8 C2f module is enhanced with a new SC_Bottleneck structure, incorporating the SCConv module, now termed SC_C2f, to mitigate model complexity and computational costs. Additionally, the original Detect structure is substituted with the PC-Head decoupling head, leading to a significant reduction in parameter count and an enhancement in model efficiency. …”
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Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system by Xueqian Yang, Meiqi Wu, Menglin Liang, Haiqiong Zhang, Bo Li, Chenhui Mao, Liling Dong, Yuan Wang, Haiqun Xing, Chao Ren, Zhenghai Huang, Qingxiang Wen, Qi Ge, Zhengqing Yu, Feng Feng, Jing Gao, Li Huo

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