Functional food candidate from Indonesian green algae Caulerpa racemosa (Försskal) J. Agardh by two extraction methods: Metabolite profile, antioxidant activity, and cytotoxic prop... by Nurpudji Astuti Taslim, Hardinsyah Hardinsyah, Son Radu, Nelly Mayulu, Apollinaire Tsopmo, Rudy Kurniawan, Trina Ekawati Tallei, Tati Herlina, Iman Permana Maksum, Fahrul Nurkolis

“…In general, C. racemosa contains antioxidant nutrients, metabolites, and bioactive peptides, suggesting its promising potential as a functional food and pharmaceutical.…”
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A Novel Liquid Chromatographic Time-of-Flight Tandem Mass Spectrometric Method for the Determination of Secondary Metabolites in Functional Flours Produced from Grape Seed and Oliv... by Achilleas Panagiotis Zalidis, Natasa P. Kalogiouri, Ioannis Mourtzinos, Dimitris Sarris, Konstantinos Gkatzionis

“…Grape seed and olive stone flours from Lemnos and commercial sources were analyzed employing target, suspect, and non-target screening. …”
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A Census of the TW Hya Association with Gaia by K. L. Luhman

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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…It can be applied in protein homology detection, structure-function inference, drug repurposing, and other downstream biological tasks. …”
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Simulating Self-lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves by Sedighe Sajadian, Niayesh Afshordi

“…The shape of a self-lensing signal is a degenerate function of stellar radius and the compact object’s mass because the self-lensing peak strongly depends on the projected source radius normalized to the Einstein radius. …”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…Rapid acquisition of underwater three-dimensional (3D) sound speed fields is essential for target detection, acoustic communication, and underwater navigation. …”
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Characterization of Biocalcium Microparticles from Saltwater Crocodile (<i>Crocodylus porosus</i>) Bone and Their Potential for Enhancing Fish Bologna Quality by Theeraphol Senphan, Natthapong Mungmueang, Supatra Karnjanapratum, Sutee Wangtueai, Akkasit Jongjareonrak, Suthasinee Yarnpakdee

“…Saltwater crocodile (SC; <i>Crocodylus porosus</i>) bone, an underutilized by-product, can be converted into high-value bio-calcium (Biocal), serving as a potential source of calcium and minerals. This study aimed to produce SC bone Biocal as functional gel enhancer for fish bologna development and to increase calcium intake. …”
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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…Safety of navigation and development of underwater mineral deposits require the accurate detection of various underwater objects. The literature discusses the issues of tracking their motion and trajectory. …”
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A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments by Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

“…Finally, we provide an open-source package and analysis guide for applying our framework.…”
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Three Years of High-contrast Imaging of the PDS 70 b and c Exoplanets at Hα with MagAO-X: Evidence of Strong Protoplanet Hα Variability and Circumplanetary Dust by Laird M. Close, Jared R. Males, Jialin Li, Sebastiaan Y. Haffert, Joseph D. Long, Alexander D. Hedglen, Alycia J. Weinberger, Katherine B. Follette, Daniel Apai, Rene Doyon, Warren Foster, Victor Gasho, Kyle Van Gorkom, Olivier Guyon, Maggie Y. Kautz, Jay Kueny, Jennifer Lumbres, Avalon McLeod, Eden McEwen, Clarissa Pavao, Logan Pearce, Laura Perez, Lauren Schatz, Judit Szulágyi, Kevin Wagner, Ya-Lin Wu

“…Starlight scattering off the front edge of these dusty CPDs is the likely source of the bright compact continuum light detected within ∼30 mas of both planets in our simultaneously obtained continuum 668 nm filter images. …”
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Electroencephalography derived connectivity informing epilepsy surgical planning: Towards clinical applications and future perspectives by Giulia Salvatici, Giovanni Pellegrino, Marco Perulli, Alberto Danieli, Paolo Bonanni, Gian Marco Duma

“…The EEG has benefited significantly from technological advancement across the last decades. Firstly, electrical source imaging (ESI) allows the reconstruction of electrical activity detected by EEG at the cortex level; secondly, functional connectivity (FC) allows the assessment of functional dependencies across brain areas. …”
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Comparison of Nutritional and Bioactive Component in Graded Highland Barley Flour by Chongyu LI, Bin DANG, Falin ZHANG, Xijuan YANG

“…To elucidate the chemical composition differences and processing applications of three types flour fractions produced in highland barley milling, a comparative analysis of their nutritional and functional components was conducted in this study. The results showed that there were significant differences (P<0.05) in the content of nutritional and functional components among the three graded flours of highland barley. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The software architecture ensures convenient scalability and functionality expansion through the addition of agents and services. …”
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Autoencoder-Driven Fiducial Landmark Identification in 3D Brain MRI for Neuroimaging Alignment by G. Deepali, H. Anitha, B. P. Swathi, M. V. Suhas

“…Accurate identification of fiducial markers, such as the left pre-auricle (LPA), right pre-auricle (RPA), and nasion, is critical for head localization, source reconstruction, anatomical alignment, and ensuring reproducibility in functional and structural neuroimaging studies. …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…This study details the development of a data-driven early warning system (EWS) designed to improve outbreak detection and response utilizing the data integration and visualization capabilities of Microsoft Power BI. …”
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Discrimination of mercury, cadmium and lead polluted rice leaves based on near infrared spectroscopy technology by ZHANG Long, PAN Jiarong, ZHU Cheng

“…There are hundreds of sources of heavy metal pollution, including the industries of coal, natural gas, paper, and mining. …”
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Extending Sensing Range by Physics Constraints in Multiband-Multiline Absorption Spectroscopy for Flame Measurement by Tengfei Jiao, Sheng Kou, Liuhao Ma, Kin-Pang Cheong, Wei Ren

“…The present study provides a strong technique for future complex combustion detection with advanced laser sources of broad spectrum.…”
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