On Novel RIP of Windowed Compressed Spectrum Sensing by Huiguang Zhang, Baoguo Liu, Wei Feng

“…By integrating these metrics, we formulate a dual-effects framework that quantitatively characterizes the inherent trade-offs between the accuracy of spectral analysis and the fidelity of signal reconstruction. …”
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Research on deep learning-based fracture network inversion method for shale gas reservoirs by CHEN Weiming, JIANG Lin, LUO Tongtong, LI Yue, WANG Jianhua

“…There is an urgent need for a new method that is economically efficient in obtaining fracture network parameters. …”
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Experimental and numerical investigation of suddenly expanded flow at sonic mach number by Ambareen Khan, Parvathy Rajendran, Sher Afghan Khan, Mamdooh Alwetaishi, It Ee Lee

“…The most efficient rib shape is a rectangular one with a diameter of 10 mm and an area ratio of 3.61. …”
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Rationale for granulometric medium characteristics under vibration processing of parts with small grooves and holes by M. A. Tamarkin, E. N. Kolganova, M. A. Yagmurov

“…The design technique for a highly efficient technological process of vibration finishing of parts with small grooves and holes is presented. …”
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Can Autonomous Vehicles Save Fuel? Findings from Field Experiments by Licheng Zhang, Ting Zhang, Kun Peng, Xiangmo Zhao, Zhigang Xu

“…The majority of the more recent studies have mainly focused on how to achieve energy-efficient goals by optimizing the driving behavior for human-driven vehicles or designing trajectory planning and tacking algorithms for autonomous vehicles. …”
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Purification of Urban Sewage River Using a Biological Aerated Filter with Sponge Iron and Ceramsite Mixed Fillers by Yi Wu, Jun Dai, Qiong Wan, Guobin Tian, Dongyang Wei

“…The removal efficiency experiments were carried out through the self-designed biological aerated filter (BAF) reactor with sponge iron and ceramsite mixed fillers, and the microorganisms attached to the surface of the biological fillers were qualitatively and quantitatively identified through 16S rDNA. …”
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Modeling Political Discourse in Indonesia’s 2024 Election Using Unsupervised Machine Learning by Malikhatul Ibriza, Maya Rini Handayani, Wenty Dwi Yuniarti, Khothibul Umam

“…The 2024 General Election in Indonesia has generated a large volume of diverse and unstructured digital political discourse, necessitating a machine learning-based analytical approach for efficient, objective, and scalable data processing. …”
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A Conceptual Framework for a Latest Information-Maintaining Method Using Retrieval-Augmented Generation and a Large Language Model in Smart Manufacturing: Theoretical Approach and... by Hangseo Choi, Jongpil Jeong

“…The proposed framework design uses a data stream processing layer, a data integration layer, and a continuous learning layer as core components; in particular, the knowledge integration layer provides a mechanism for the efficient processing of real-time data and continuous learning. …”
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Research on Fault Diagnosis Method for Marine Diesel Engines Based on Multi-Scale Attention Mechanism Transformer by Manyi Chen, Huibing Gan, Hangjie Wu

“…In modern intelligent shipping, ensuring the stable and reliable technical condition of marine diesel engines is critical for safe and efficient vessel operations. Conventional fault diagnosis approaches and many existing Transformer-based methods often focus on single-scale features, potentially overlooking subtle fault indicators and reducing diagnostic accuracy under complex working conditions. …”
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Evolutionary Game Analysis and Strategy Optimization for Short-Video Platform Regulation Under Cyber Space Governance by Chuanqi Wu, Xinyu Wang, Fulei Shi, Chuansheng Wang, Cuiyou Yao, Ying Gao, Dongpu Fu

“…This study explores the key issues in the construction of short-video network ecology, focusing on the strategic interaction between regulatory agencies and short-video creation platforms, which is a key aspect to achieve efficient cyberspace governance. By designing an evolutionary game model between the government and the short-video platform, this paper systematically analyzes the dynamic strategic choice and adaptation process of participants, which provides a solid theoretical and methodological foundation for understanding strategic interaction in the digital environment. …”
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Optimized PCF architectures for THz detection of aquatic pathogens: Enhancing water quality monitoring. by Diponkar Kundu, Nasir Uddin Badhon, A H M Iftekharul Ferdous, Md Safiul Islam, Md Galib Hasan, Khalid Sifulla Noor, Most Momtahina Bani

“…The existing architecture has the potential to produce the sensor efficiently and scalable, opening the door for commercial applications. …”
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Mathematical study of silicate and oxide networks through Revan topological descriptors for exploring molecular complexity and connectivity by Qun Zhang, Zubair Ahmad, Asad Ullah, Y. S. Hamed, Muzher Saleem, Melaku Berhe Belay

“…Our work opens the door for more efficient application of these materials across industries, particularly in nanotechnology, environmental remediation, and material science, where understanding topological features is critical to enhancing performance. …”
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Charting the future: current and future directions in translational research for individuals with Down syndrome by Katherine A. Waugh, Heather M. Wilkins, Keith P. Smith, Lauren T. Ptomey

“…Within this framework, we advocate for interdisciplinary pursuit of systems-level biomarkers to facilitate holistic intervention strategies that precisely benefit individuals with trisomy 21 each experiencing Down syndrome in their own unique way. To this end, we quantitatively assess clinical studies that are actively recruiting participants with Down syndrome and provide historical context through summary figures sourced to user-friendly tables that have been curated from federal websites to empower efficient exploration of research opportunities for interdisciplinary collaborations.…”
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Entropy-Optimized Dynamic Text Segmentation and RAG-Enhanced LLMs for Construction Engineering Knowledge Base by Haiyuan Wang, Deli Zhang, Jianmin Li, Zelong Feng, Feng Zhang

“…The comparative experiments across model scales (1.5B, 3B, 7B, 14B, 32B, and 72B) quantitatively reveal the relationship between model size, answer accuracy, and execution time, providing decision-making guidance for computational resource-accuracy tradeoffs in engineering practice.…”
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Development and Validation of a GC-MS/MS Method for the Simultaneous Quantification of Selected Compounds in Essential Oils by Ana Vučak, Glorija Golubić, Franko Burčul

“…In this study, a method for the quantitation of p-cymene, limonene, eucalyptol, linalool, menthol, and carvone in essential oils was developed and validated. …”
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network by Vella Satyanarayana, P. Mohanaiah

“…Entropy, standard deviation, and the structural similarity index (SSIM) have been used quantitatively to assess the performance of the proposed fusion scheme. …”
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Protocol for the induction of human spinal motor neurons from human induced pluripotent stem cells for studying amyotrophic lateral sclerosis by Selena Setsu, Satoru Morimoto, Shiho Nakamura, Fumiko Ozawa, Hideyuki Okano

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Protocol for RNA interference in gene expression in adult insects of Triatoma infestans (Hemiptera: Reduviidae) by Lourdes E. Córdoba, Alicia R. Pérez de Rosas, Beatriz A. García, María M. Stroppa

“…We then detail procedures for collecting and extracting RNA from heads at different time points and evaluating silencing efficiency using quantitative reverse-transcription PCR (RT-qPCR).For complete details on the use and execution of this protocol, please refer to Córdoba et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Improving Financial Sustainability Through Effective Credit Risk Management and Human Talent Development in Microfinance Institutions by Fabricio Miguel Moreno-Menéndez, Vicente González-Prida, Diana Pariona-Amaya, Victoriano Eusebio Zacarías-Rodríguez, Víctor Zacarías-Vallejos, Sara Ricardina Zacarías-Vallejos, Luis Alberto Aguilar-Cuevas, Lisette Paola Campos-Carpena

“…Both qualitative and quantitative research methods allow this study to investigate credit risk management strategies while examining policies for inclusivity plus incentive plans along with debt portfolio selection efficiency. …”
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Analysis of current challenges in the design of low-noise broadband planar amplifiers: Review by Moustapha El Bakkali, Oumaima Douass, Faouzi Rahmani, Said El Khaldi, Naima Amar Touhami

“…It systematically examines the key factors influencing LNA performance and efficiency, providing a detailed quantitative and qualitative evaluation of over 40 relevant studies. …”
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