Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
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Use of artificial water sources by tapirs in the Maya Forest, Mexico by Fernando M. Contreras-Moreno, Khiavett Sánchez-Pinzón, Daniel Jesús-Espinosa, Jose Mauricio Méndez-Tun, Jesus Lizardo Cruz-Romo, Pedro Bautista-Ramírez

“…The PIV, occupancy, and detectability obtained in the present study were similar to those reported in natural water bodies in the Maya Forest, which supports the idea that the water troughs could temporarily supply maintenance functions for tapirs during the dry season or in periods when water is scarce in the landscape, being this the only source of water available to satisfy their requirements for this resource in the CBR. …”
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Quantum Edge Detection by Santiago Llorens, Walther González, Gael Sentís, John Calsamiglia, Ramon Muñoz-Tapia, Emili Bagan

“…We analyze the behavior of the success probability as a function of the string length and local dimension, with emphasis in the limit of long strings. …”
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Development of an embedded diagnostic tool for visual misalignment screening by Daniel Soto Rodriguez, Andres Eduardo Rivera Gomez, Ruthber Rodriguez Serrezuela

“…A novel treatment validation mechanism was implemented by analyzing pupil-to-stimulus distance frame-by-frame, confirming reliable eye tracking and the system’s potential for detecting microstrabismus. This open-source, portable prototype is suitable for community health screening and educational use, particularly in low-resource settings.…”
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Basic and practical analysis of LF-NMR and straightforward toolbox to its successful operation by Ali Asghari, Afroza Sultana, Seddik Khalloufi

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A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

“…The arrival of photons as a function of time follows a Poisson process and can vary by orders-of-magnitude, presenting obstacles for common tasks such as source classification, physical property derivation, and anomaly detection. …”
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Open Source Sensor Interface for Soft Detectors in Surgical Simulators by Thomas Thurner, Roland Pruckner, Martin Kaltenbrunner, Andreas Schrempf

“…In this context, soft sensors enable low-cost position or force detection in haptically realistic synthetic tissue imitations to link the physical and virtual components of a patient phantom. …”
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Development of a Captiva EMR-lipid clean-up and LC-MS/MS methodology for detecting H2 receptor antagonists in functional foods and food-medicine homology materials by Guodong Shan, Xiuqin Fan, Qingcheng Wang, Li Zhang, Lijun Ge, Weibo Lu, Jing Xue, Kang Chen, Zejun Wang, Qing Shen

“…The inappropriate use of H2 receptor antagonists (H2RAs) in functional foods (FFs) and food-medicine homology materials (FMHs) designed to enhance gastrointestinal function (IGF) presents health risks due to potential adverse effects. …”
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Cloning and Functional Analysis of Skin Host Defense Peptides from Yakushima Tago’s Brown Frog (<i>Rana tagoi yakushimensis</i>) and Development of Serum Endotoxin Detection System... by Taichi Aono, Saki Tamura, Yua Suzuki, Taichi Imanara, Ryosei Niwa, Yoshie Yamane, Tetsuya Kobayashi, Sakae Kikuyama, Itaru Hasunuma, Shawichi Iwamuro

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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

“…Non-target screening resulted in the detection of 1042 and 1620 mass features in grape seed and olive stone flours, respectively. …”
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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

“…In this study, a rule and lexical-based procedure is proposed together with unsupervised machine learning to implement sentiment analysis with an improved generalization ability across different sources. To deal with sources devoid of syntactic and grammatical structure, the approach incorporates a ruled-based technique for emoticon detection, word contraction expansion, noise removal, and lexicon-based text preprocessing using lexical features such as part of speech (POS), stop words, and lemmatization for local context analysis. …”
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Fullerene-Functionalized Cellulosic Hydrogel Biosensor with Bacterial Turn-on Fluorescence Response Derived from Carboxymethyl Cellulose for Intelligent Food Packaging with DFT Cal... by Hebat-Allah S. Tohamy

“…FTIR analysis confirmed the successful grafting of AMPS and incorporation of N-fullerenes, indicated by characteristic peaks and a shift in the N–H/O–H stretching frequency. …”
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Productivity, activity of digestive and antioxidant enzymes of carp (Cyprinus carpio Linnaeus, 1758) as a result of the use of inulin in low-nutrient feeds by O. Deren, O. Dobrianska, M. Koryliak

“…The practical use of the knowledge gained outlines the possibility of optimizing the production of fish when introducing resource-saving technologies in aquaculture.…”
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Image Deconvolution to Resolve Astronomical X-Ray Sources in Close Proximity: The <i>NuSTAR</i> Images of SXP 15.3 and SXP 305 by Sayantan Bhattacharya, Dimitris M. Christodoulou, Silas G. T. Laycock

“…The broad point spread function of the <i>NuSTAR</i> telescope makes resolving astronomical X-ray sources a challenging task, especially for off-axis observations. …”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Source localization based on time delay estimation in complex environment by Da-wei ZHANG, Chang-chun BAO, Bing-yin XIA

“…In order to improve the performance of source localization in noisy and reverberant environments,a novel time delay estimation (TDE) method was proposed.This method is called acoustical transfer function ratio based on statistical model (ATFR-SM).In the proposed algorithm,the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF).In the ATF method,the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations.voice activity detection (VAD) was used to distinguish the speech period from the noise period,and the TDE was performed in the speech period to improve the estimation accuracy.Moreover,the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system.The results of performance evaluation show that,in both the noisy and reverberant conditions,the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods.Meanwhile,the source localization has higher accuracy than the reference methods.…”
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Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches. by Paolo Belardinelli, Erick Ortiz, Gareth Barnes, Uta Noppeney, Hubert Preissl

“…Still, no correct network detection is possible without reliable source localization. …”
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Non-Line-of-Sight Location With Gauss Filtering Algorithm Based on a Model of Photon Flight by Yu Ren, Zongliang Xie, Yihan Luo, Shaoxiong Xu, Haotong Ma, Yi Tan

“…Recently, non-line-of-sight (NLOS) detection based on time of flight (TOF) has been investigated. …”
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New source of cellulase production using a metagenomic technique by Safaa M. Ali, Nadia A. Soliman

“…The objective of the current study was to identify the isolated functional gene(s) of the cellulase enzyme by using metagenomics. …”
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