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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The aftermath of trauma on resting state source-level MEG microstate dynamics by Massimo Bertoli, Pierpaolo Croce, Filippo Zappasodi, Rosalia Di Matteo, Federica Vellante, Mauro Pettorruso, Giovanni Martinotti, Marcella Brunetti

“…Resilience may arise from successful integration of cognitive and sensorimotor processes, detectable as distinct patterns of brain dynamics during rest.…”
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Antibacterial Effect of Bacteriocinogenic Enterococci from Different Sources on Listeria monocytogenes by Mevhibe Terkuran, Alin Bayram Türemiş, Zerrin Erginkaya, Emel Ünal Turhan

“…Additionally, the present study detected that inhibitory activity was strain-specific. …”
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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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Source-detector effective solid angle calculation using MCNP6 code by Roos Sophia de Freitas Dam, Alessandra Galvão Menezes dos Santos, William Luna Salgado, César Marques Salgado

“…In order to use these nuclear techniques is necessary to perform studies of important parameters of radioactive source and radiation detectors, which are part of the measurement geometry, such as detection efficiency and solid angle. …”
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pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis. by Theodoros Giannakopoulos

“…Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). …”
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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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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…In the paper, we present a CVQKD protocol based on post-selection method, which need not any extra single photon source. The results show that the higher probability values are all reserved and amplified by the post selection window function. …”
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Immature Skeletal Myotubes Are an Effective Source for Improving the Terminal Differentiation of Skeletal Muscle by Seung Yeon Jeong, Jun Hee Choi, Paul D. Allen, Eun Hui Lee

“…These increases were not detected in any of the other co-differentiation conditions. …”
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Signal Processing in Passive Radar Systems Using 5G: A Simulation Study by Van Tuan Nguyen, V. M. Kutuzov, E. N. Vorobev

“…The calculation of the cross-ambiguity function of the passive radar using the 5G signal was carried out by computer simulation.Results. …”
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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 article highlights the advantages of using automated systems to monitor chicken health under conditions of limited human resources. A software solution has been developed for monitoring chicken health, which enables video uploads from local sources or video services such as YouTube, selection of the communication language, and the LLM model. …”
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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

“…We propose a novel photometry statistical framework based on functional linear mixed modeling, which enables hypothesis testing of variable effects at every trial time-point, and uses trial-level signals without averaging. …”
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An open-source tool for analysis and automatic identification of dendritic spines using machine learning. by Michael S Smirnov, Tavita R Garrett, Ryohei Yasuda

“…Our algorithm is rapid, flexible, has over 90% accuracy in spine detection, and bundled with our user-friendly, open-source, MATLAB-based software package for spine analysis.…”
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Acoustic Fabry–Perot Resonance Detector for Passive Acoustic Thermometry and Sound Source Localization by Yan Yue, Zhifei Dong, Zhi-mei Qi

“…Acoustic temperature measurement (ATM) and sound source localization (SSL) are two important applications of acoustic sensors. …”
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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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Analytical Model and Gas Leak Source Localization Based on Acoustic Emission for Cylindrical Storage by Jun-Gill Kang, Kwang Bok Kim, Kyung Hwan Koh, Bong Ki Kim

“…A theoretical model is presented for the accurate detection of a gas leak source through a pinhole in a cylindrical storage vessel using the acoustic emission (AE) technique. …”
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A review of non-exhaust emissions on pavement area: Sources, compositions, evaluation and mitigation by Chuan He, Wei Jiang, Qingyi Xiao, Chengwei Xing, Dongdong Yuan, Rong Lu, Wangjie Wu

“…Non-exhaust particles can be classified into organic, inorganic, and metal matter, each requiring a distinct analysis and detection method. The effective approaches to managing non-exhaust emissions include water cleaning, utilizing functional pavement materials, and applying chemical reagents to alleviate emission capacity. …”
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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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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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