Prescribed burning effectively maintains threatened species in semi‐natural grasslands on lava flows by Airi A. Asada, Atsushi Ohwaki, Yuki A. Yaida, Fuma Kawakami, Masaki Masuda, Atushi Ushimaru

“…Burning helps prevent forest encroachment, efficiently maintaining species‐rich grasslands on lava flows. …”
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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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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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Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
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Reconstructing higher-resolution four-dimensional time-varying volumetric data by Ji Ma, Jinjin Chen

“…To demonstrate its advantages, we compared it qualitatively and quantitatively with five state-of-the-art super-resolution techniques, namely SSR-TVD, Tricubic, SRResNet, Cubic, and Linear. …”
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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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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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Selection and validation of stable reference genes in guava (Psidium guajava L.) for reliable and consistent gene expression analysis by Sandeep Kumar, Manoharan Muthukumar, Anju Bajpai, Amar Kant Kushwaha, Israr Ahmad, Yashi Bajpai, Anshuman Singh, Thukkaram Damodaran, Mala Trivedi

“…Background: Ideal stably expressing housekeeping gene to be used as internal control needs to be optimized for efficient gene expression analysis for accurate mRNA quantitation. …”
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Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…Finally, three spectral features—maximum instantaneous frequency (femax), instantaneous frequency amplitude (V), and marginal spectrum energy (S)—are quantitatively compared between normal and sleep apnea populations using an independent-sample t-test. …”
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Towards Supporting Satellite Design Through the Top-Down Approach: A General Model for Assessing the Ability of Future Satellite Missions to Quantify Point Source Emissions by Lu Yao, Dongxu Yang, Zhe Jiang, Yi Liu, Lixu Chen, Longfei Tian, Janne Hakkarainen, Zhaonan Cai, Jing Wang, Xiaoyu Ren

“…However, no universal method currently exists for quantitatively assessing the ability of satellites to quantify point source emissions. …”
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Impact Dynamics and Freezing Performance of Porcine Bile Droplets on Horizontal Cold Substrates: Towards Advanced and Sustainable Food Processing by Xinkang Hu, Bo Zhang, Libang Chen, Zhenpeng Zhang, Huanhuan Zhang, Xintong Du, Xu Wang, Lulu Zhang, Tao Yang, Chundu Wu

“…With the development of the agro-processing industry, the efficient cryogenic treatment and resource utilization of porcine bile—a high-value byproduct—has received increasing attention. …”
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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning: Segmentation sémantique automatis... by Michael Allan Merchant, Masoud Mahdianpari, Laura Bourgeau-Chavez, Ben DeVries, Aaron Berg

“…Otsu thresholding was leveraged to rapidly generate 512 × 512-pixel patches for the U-Net, resulting in an efficient and automated training pipeline. Within this study, we also quantitatively compared the deep learning (DL) U-Net to a shallow machine learning (ML) algorithm, XGBoost (XGB), and evaluated the Capella Space imagery against spatially and temporally coincident Sentinel-1 C-band. …”
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Three‐dimensional characterization of particle morphology in natural gravel and blasted rock fragments using SfM‐MVS photogrammetry by Hongchen Liu, Zitao Zhang, Huaizhi Su, Xuedong Zhang, Jing Hu

“…Particle shape was quantitatively analyzed using shape indices of sphericity, convexity, and angularity. …”
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