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. …”
Get full text

A Novel Chiral Molecularly Imprinted Electrochemical Sensor Based on β-CD Functionalized Graphene Quantum Dots for Enantioselective Detection of D-Carnitine by Feng Yang, Xin Qi, Yan Chen, Kai Tang, Mengyang Fang, Yanwei Song, Jiufen Liu, Lianming Zhang

Get full text

Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

“…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
Get full text

Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

“…In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
Get full text

SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments by Xiangqian Huang, Xiaoming Li, Limengzi Yuan, Zhao Jiang, Hongwei Jin, Wanghao Wu, Ru Cai, Meilian Zheng, Hongpeng Bai

“…These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. Through these innovations, SDES-YOLO not only improves detection accuracy but also optimizes computational efficiency, making it effective even in resource-constrained environments.…”
Get full text

Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

Get full text

Seasonal Characteristics of Long-Range Transport and Potential Associated Sources of Particulate Matter (Pm₁₀) Pollution at the Station Elk, Poland, on 2021-2022 Data by S. Abdo, Y. Koroleva

“…In this study, the NOAA HYSPLIT_4 trajectory model, potential source contribution function (PSCF), and concentration-weight trajectory (CWT) were employed to investigate the origin of the measured PM10 mass at a receptor site. …”
Get full text

GLIMPSE: An Ultrafaint ≃105 M⊙ Pop III Galaxy Candidate and First Constraints on the Pop III UV Luminosity Function at z ≃ 6–7 by Seiji Fujimoto, Rohan P. Naidu, John Chisholm, Hakim Atek, Ryan Endsley, Vasily Kokorev, Lukas J. Furtak, Richard Pan, Boyuan Liu, Volker Bromm, Alessandra Venditti, Eli Visbal, Richard Sarmento, Andrea Weibel, Pascal A. Oesch, Gabriel Brammer, Daniel Schaerer, Angela Adamo, Danielle A. Berg, Rachel Bezanson, Rychard Bouwens, Iryna Chemerynska, Adélaïde Claeyssens, Miroslava Dessauges-Zavadsky, Anna Frebel, Damien Korber, Ivo Labbe, Rui Marques-Chaves, Jorryt Matthee, Kristen B. W. McQuinn, Julian B. Muñoz, Priyamvada Natarajan, Alberto Saldana-Lopez, Katherine A. Suess, Marta Volonteri, Adi Zitrin

“…These properties indicate the presence of a nascent, metal-deficient young stellar population (<5 Myr) with a stellar mass of ≃10 ^5 M _⊙ . Intriguingly, this source deviates significantly from the extrapolated UV–metallicity relation derived from recent JWST observations at z = 4–10, consistent with UV enhancement by a top-heavy Pop III initial mass function or the presence of an extremely metal-poor active galactic nucleus. …”
Get full text

Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

“…Reflected signals are processed by the GDD, which functions as a heterodyne receiver, and Fast Fourier Transform (FFT) is used to extract range data. …”
Get full text

Sources of Life Strengths Appraisal Scale: A Multidimensional Approach to Assessing Older Adults’ Perceived Sources of Life Strengths by Prem S. Fry, Dominique L. Debats

“…A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS) is a promising instrument for appraising older adults’ sources of life strengths in dealing with stresses of daily life’s functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. …”
Get full text

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. …”
Get full text

Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
Get full text

Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

Get full text

Analysis of the Relationship Between Assimilate Production and Allocation and the Formation of Rice Quality by Jianming Tu, Fengting Wen, Feitong Li, Tingting Chen, Baohua Feng, Jie Xiong, Guanfu Fu, Yebo Qin, Wenting Wang

“…Correlation analysis indicated that dry matter mass and net photosynthetic rate were significantly positively correlated with yield, but not with taste quality, highlighting the complexity of taste quality formation. Using a membership function comprehensive evaluation method (combines the outputs of multiple membership functions into a single composite value using specific rules (e.g., weighted average, extremum, logical operations) to produce a new membership degree.), a rice variety selection system balancing yield and quality was constructed, and three varieties (Zhongzheyou 8, Huazheyou 261, and Quanyousimiao) were identified as having both high yield and excellent quality. …”
Get full text

Lysozyme functionalized zinc-oxide nanoparticles: Synthesis, characterization, and antibacterial assessment against Staphylococcus aureus with futuristic application in wastewater... by Suneeti Singh, Pavni Rekhi, Jewel Mary Saju

Get full text

Nanotechnologies associated to floral resources in agri-food sector by Ahmad S Ammar

Get full text

Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…Quality assessment and artifact detection in functional magnetic resonance imaging (fMRI) data is essential for clinical applications and brain research. …”
Get full text

Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning by Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong, Xiang Zhang, Conghui He, Haohuan Fu

“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
Get full text

Reusable and robust fuzzy extractor for CRS-dependent sources by Yucheng Ma, Peisong Shen, Xue Tian, Kewei Lv, Chi Chen

“…Abstract Fuzzy extractors allow for the extraction and reproduction of a nearly uniform string from a noisy and non-uniform source. Reusable and robust fuzzy extractors further require that the output string should remain pseudorandom under multiple extractions and any modification of public value should be detectable. …”
Get full text

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 system is formulated as a Markov Decision Process (MDP), where encryption level selection is driven by a reward function that optimizes the trade-off between energy efficiency and security robustness. …”
Get full text