Functional characteristics of endosymbiotic picornia-like virus in Diaphorina citri by Shuai Wang, Muhammad Younas, Chengtao Bao, Yuxi Xiao, Inzamam Ul Haq, Jia Lü, Yu Bin, Taiyun Wei, You Li

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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…Moreover, the method employs the SCYLLA-IoU (SIoU) loss function to constrain the detection heads, thereby reducing regression freedom and improving detection accuracy and robustness. …”
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Spatially resolved metabolomics: From metabolite mapping to function visualising by Xinyue Min, Yiran Zhao, Meng Yu, Wenchao Zhang, Xinyi Jiang, Kaijing Guo, Xiangyi Wang, Jianpeng Huang, Tong Li, Lixin Sun, Jiuming He

“…We first outline recent innovations in preprocessing methodologies and MSI instrumentation that improve the sensitivity and comprehensiveness of metabolite detection. We then delve into the progress made in functional visualization techniques, which enhance the precision of metabolite identification and annotation. …”
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Adversarial Attack Detection in Smart Grids Using Deep Learning Architectures by Stephanie Ness

“…Yet, they are more susceptible to an adversarial attack that can interfere with the critical functions like energy distribution and faults detection. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

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A Novel Approach to Approximating Generalized Pointing Errors Modeled by Beckmann Distribution in FSO Communication Systems by Emna Zedini, Yalcin Ata, Abla Kammoun, Mohamed-Slim Alouini

“…These unified formulations are applicable to intensity modulation with direct detection and heterodyne detection methods, and are expressed using the generalized Meijer's-G function. …”
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A Model-Based Substructuring Method for Local Damage Detection of Structure by Eun-Taik Lee, Hee-Chang Eun

“…The damage-expected substructure is traced by the distribution curve of constraint forces. Modeling the damage-expected substructure subjected to the predicted constraint forces and expanding the displacement data measured at several locations in the substructure, the local damage is detected by the displacement curvature method. …”
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Face Detection in a Video File Based on Matching Face Template by Maha Hasso, Shahad Hasso

“…The algorithm depends on the usage of technique to detect human face and select it in the video after segment it to set of color images, the technique includes two steps for image processing The first is for building a model for skin color, and an outline of the distribution of color and isolate areas of skin and non skin within the image, then identify areas of the skin. …”
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Generalization challenges in video deepfake detection: methods, obstacles, and technological advances by LI Junjie, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…Regarding the challenges of cross-dataset detection, the paper analyzes how differences in feature distributions between datasets lead to the performance degradation of traditional deep learning models in cross-domain applications. …”
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Enhancer chip: detecting human copy number variations in regulatory elements. by Marco Savarese, Giulio Piluso, Daniela Orteschi, Giuseppina Di Fruscio, Manuela Dionisi, Francesca del Vecchio Blanco, Annalaura Torella, Teresa Giugliano, Michele Iacomino, Marcella Zollino, Giovanni Neri, Vincenzo Nigro

“…Critical functional properties are embedded in the non-coding portion of the human genome. …”
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A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

“…We built a graph of 11 nodes (data) and 14 edges (ML models), where each model has been trained on handling a specific task (e.g. skull-stripping MRI scans, AD detection,image2image translation, ...). By using a modular and adaptive approach, our framework effectively integrates diverse data types, handles distribution shifts, and scales to arbitrary complexity, offering a practical tool that remains accurate even when modalities are missing for advancing Alzheimer’s disease diagnosis and potentially other complex medical prediction tasks.…”
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Temporal Decay Loss for Adaptive Log Anomaly Detection in Cloud Environments by Lelisa Adeba Jilcha, Deuk-Hun Kim, Jin Kwak

“…To address these challenges, we propose an effective detection approach integrating a domain-specific pre-trained language model (PLM) fine-tuned on cybersecurity-adjacent data with a novel loss function, Loss with Decaying Factor (LDF). …”
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Prevalence, genetic diversity, and molecular detection of the apple hammerhead viroid in Germany by Kerstin Zikeli, Constanze Berwarth, Ute Born, Thomas Leible, Wilhelm Jelkmann, Michael Helmut Hagemann

“…Small RNA analysis mapped 128,388 reads to the AHVd genome, identifying hotspots within and outside the rod-like structure, suggesting structural and regulatory functions of vd-sRNAs. These findings underline AHVd’s genetic diversity. …”
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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…It is found that a wide range of patch-shaped anomaly regions are distributed in the VLF band power spectrum image of the space ionospheric electric field, and these patch-shaped anomaly regions are effectively detected by using the Kans-Unet model. …”
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Application of fragmentation function to the indirect production of fully charmed tetraquark by Hong-Hao Ma, Zheng-Kui Tao, Juan-Juan Niu

“…At CEPC, a sufficient number of $$T_{4c}$$ T 4 c events are produced through $$Z^0$$ Z 0 decays, which is likely to be detected in future experiments.…”
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Characteristics, Distribution, and Source Analysis of the Main Persistent Toxic Substances in Karst Groundwater at Jinan in North China by Hao Shang, Xiaofan Qi, Mengnan Zhang, Hu Li, Gang Li, Lizhi Yang

“…Karst water in northern China is an important water source for economic and social development in its distribution area and water source for ecological function guarantee. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…To address these challenges, we propose the Multi-UAV Reconnaissance Proximal Policy Optimization (MURPPO) algorithm based on a distributed reinforcement learning framework, which utilizes an independent decision making mechanism and collaborative positioning method with multiple UAVs to achieve high-precision detection and localization of radiation sources. …”
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Abnormalities of Endocrine Function Tests in COVID-19-Recovered Individuals by Phibakordor L. Nonglait, Srivenkata Madhu, Nishant Raizada, Amitesh Aggarwal, Rafat Ahmed, Mohammad Aslam

“…Central pituitary axis dysfunction was observed in 28 patients (33.7%), of which alterations in prolactin (20.4%) were the most common. Thyroid function abnormalities were noted in 25 (30.1%) patients, while gonadal dysfunction was detected in 14% of males and 6% of reproductive-aged females, respectively. …”
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The Effect of Anti-seizure Drugs on Visual Functions in Epilepsy Patients by Pınar Bengi Boz, Deniz Tören

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Assessment of Cognitive Function with Sleep Spindle Characteristics in Adults with Epilepsy by Yajin Huang, Yaqing Liu, Wenjun Song, Yanjun Liu, Xiaoqian Wang, Juping Han, Jiang Ye, Hongmei Han, Li Wang, Juan Li, Tiancheng Wang

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