LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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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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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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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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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

“…The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining environments. …”
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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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Integrated Waveform Design of Radar and Communication Based on Chirp-rate Hopping Modulation by G. Q. Zhang, X. Rao, J. L. Fu, W. W. Hu, J. F. Hu

“…The increasing demand for spectrum resources and the need for reducing the burden of modern electronic combat platforms have prompted the development of integrated radar and communication systems. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Moreover, the large number of parameters in CNNs restricts their deployment on platforms with limited resources. To address these challenges, this article proposes a novel SAR ship detection network called DFES-Net, which incorporates deformable feature fusion and accurate anchor prediction to enhance detection performance. …”
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Effect of Forest Species Canopy on the Accumulation of Toxic Metals in the Soil Within and Around Macedonia Airport, Northern Greece by Ioannis Mousios, Marianthi Tsakaldimi, Evangelia Gkini, Theocharis Chatzistathis, Petros Ganatsas

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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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Analysis of microsatellite and single nucleotide polymorphism within transcriptomic database in Cymbidium ensi folium by Li Xiaobai, Xiang Lin, Luo Jie, Qin Dehui, Sun Chongbo

“…Owing to the lack of its genomic resource, the development and application of molecular marker is still limited. …”
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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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Battery Management System: Threat Modeling, Vulnerability Analysis, and Cybersecurity Strategy by Shravan Murlidharan, Varsha Ravulakole, Jyothi Karnati, Hafiz Malik

“…Unauthorized access or tampering with the BMS can disrupt its fault response mechanisms, jeopardizing system performance and associated resources. Key cybersecurity strategies include intrusion detection systems (IDS), crypto-based authentication, secure firmware updates, and hardware-based security mechanisms such as trusted platform modules (TPMs). …”
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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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Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains by Yuze Shan, Xi Lu, Shizhuo Wang, Hao Cong, Qi Wang, Jiahui Yu, Yiting Xiao, Nan Jiang, Lifei Chen, Yunwei Zhou

“…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To develop the direction, a new set of information from open sources and synthetic data are proposed. They are aimed at improving the generalization ability of the model. …”
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