ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice by Changtong Xu, Xiya Qiu, Aiyan Zheng, Yan Pu, Tiantian Wu, Jie Ding, Bo Zheng

“…Hence, we demonstrated that ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice.…”
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Nighttime traffic object detection via adaptively integrating event and frame domains by Yu Jiang, Yuehang Wang, Minghao Zhao, Yongji Zhang, Hong Qi

“…Motivated by this progress, we propose an adaptive selection and fusion detection method that leverages both event and RGB frame domains to optimize nighttime traffic object detection jointly. …”
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Shape-Dependent Dynamic Label Assignment for Oriented Remote Sensing Object Detection by Xue Zhang, Yanxia Wu, Guoyin Zhang, Ye Yuan, Guangliang Cheng, Yulei Wu

“…Oriented remote sensing object detection (ORSOD) has gained increasing significance in both military and civilian applications due to the necessity of accurately identifying objects with varying shapes and orientations in remote sensing data. …”
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Direct Detection of <i>Orthoflavivirus</i> via Gold Nanorod Plasmon Resonance by Erica Milena de Castro Ribeiro, Bruna de Paula Dias, Cyntia Silva Ferreira, Samara Mayra Soares Alves dos Santos, Rajiv Gandhi Gopalsamy, Estefânia Mara do Nascimento Martins, Cintia Lopes de Brito Magalhães, Flavio Guimarães da Fonseca, Luiz Felipe Leomil Coelho, Cristiano Fantini, Luiz Orlando Ladeira, Lysandro Pinto Borges, Breno de Mello Silva

“…Our findings highlight a fast and highly sensitive method for detecting <i>Orthoflavivirus</i> in both human and mosquito samples, with a detection limit as low as 100 PFU/mL.…”
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Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis by Annunziata Gaetana Cicatiello, Michele Musone, Silvestro Imperatore, Carlo Giulioni, Roberto La Rocca, Angelo Cafarelli, Francesco Del Giudice, Monica Dentice, Felice Crocetto

“…Altered expression of individual miRNAs has been shown in most human cancers, endowed with oncogenic or suppressor potential. Additionally, miRNAs have shown a promising potential as cancer markers. …”
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High-Performance Telescope System Design for Space-Based Gravitational Waves Detection by Huiru Ji, Lujia Zhao, Zichao Fan, Rundong Fan, Jiamin Cao, Yan Mo, Hao Tan, Zhiyu Jiang, Donglin Ma

“…The chief ray spot diagram dimensions are significantly small, indicating excellent control of pupil aberrations. Additionally, the tilt-to-length (TTL) noise and stray light meet the stringent requirements for space-based gravitational wave detection. …”
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From lab to life: technological innovations in transforming cancer metastasis detection and therapy by Soumya Basu, Satish Sasikumar, Subhayan Sur, Viniti Vaidya, Supriya Kheur, Samir Gupta, Amit Ranjan, Manash Paul, Neelu Nawani, Aditi Bhat, Nikita Adak

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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…Change detection (CD) aims to explore surface changes in coaligned image pairs. …”
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An Optimized Dual-View Snake Unet Model for Tunnel Lining Crack Detection by Baoxian Li, Hao Xu, Xin Jin, Huaizhi Zhang, Shuo Jin, Qianyu Chen, Fengyuan Wu

“…Compared to the baseline Unet model, DSUnet delivers improvements of 1.3% in MDice and 0.6% in MIoU, respectively. Additionally, the proposed model consistently outperforms several state-of-the-art semantic segmentation networks, highlighting its robustness and accuracy in detecting tunnel lining cracks. …”
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Adaptive multichannel detection-resolution of stochastic signals in conditions of parametric prior uncertainty by A. V. Filonovich, I. V. Vornacheva, N. A. Tuyakbasarova, A. S. Chernyshev

“…The purpose of the study is to improve the quality indicators of adaptive multichannel detection-resolution-measurement parameters of stochastic signals under parametric a prior uncertainty.Materials and methods. …”
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Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments by Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín

“…In the proposed architecture, the transformer component effectively models temporal and contextual dependencies within traffic sequences, while the GAN component generates synthetic data to improve feature diversity and mitigate class imbalance. Additionally, an improved non-dominated sorting biogeography-based optimization (INSBBO) algorithm is employed to fine-tune the hyper-parameters of the hybrid model, further enhancing learning stability and detection performance. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…These models support early diagnosis and enable personalized treatment strategies tailored to the specific needs of patients. Additionally, integrating wearable sensors and mobile health technologies further enhances the feasibility of continuous monitoring and early detection, providing patients and healthcare practitioners with the tools they need to manage PD proactively. …”
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An attention-enhanced few-shot model for event detection in online social networks by Sielvie Sharma, Tanvir Ahmad, Niyaz Ahmad Wani, Naveed Ahmad, Sadique Ahmad

“…In addition, established literature encounters significant hurdles when it comes to detect unseen or new events, even after acquiring a substantial amount of training data. …”
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Molecular Detection of Neospora Caninum in Different Tissues of Dogs and Cats in Shiraz, Iran by Gholam Reza Hatam, Fattaneh Mikaeili, Qasem Asgari, Mehdi Namavari, Shamsi Noorpisheh Ghadimi

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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…A general and universally effective detection model would be extremely useful, but appears to be beyond the reach of current technology and detection methods. …”
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Modern Technologies to Detect Fungi That Cause Diseases to Agricultural Crops: A review by Teeba H. Mohammad, Zahraa A. Abed, Zahraa R. Taha

“…This assay is used after isothermal amplification to detect genes without the use of PCR. In addition, the analysis of the whole genome (AGE), a global method for determining micro genes, includes experimental practice analysis and bioinformatics testing. …”
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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

“…Objectives Our study aimed to develop and validate automated machine learning models to accurately detect and classify onychomycosis‐affected areas in toenails. …”
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Integrating Pose Features and Cross-Relationship Learning for Human–Object Interaction Detection by Lang Wu, Jie Li, Shuqin Li, Yu Ding, Meng Zhou, Yuntao Shi

“…Background: The main challenge in human–object interaction detection (HOI) is how to accurately reason about ambiguous, complex, and difficult to recognize interactions. …”
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Improved detection of air trapping on expiratory computed tomography using deep learning. by Sundaresh Ram, Benjamin A Hoff, Alexander J Bell, Stefanie Galban, Aleksa B Fortuna, Oliver Weinheimer, Mark O Wielpütz, Terry E Robinson, Beverley Newman, Dharshan Vummidi, Aamer Chughtai, Ella A Kazerooni, Timothy D Johnson, MeiLan K Han, Charles R Hatt, Craig J Galban

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Surface Defect Detection of Frozen Dumplings Based on Improved RetinaNet Model by Zhigen FEI, Xing GUO, Xiaoxiao SONG, Hao LU, Xinchang ZHAO

“…Objective: To improve the accuracy of surface defect detection of quick-frozen dumplings. Methods: A dataset covering five quick-frozen dumpling forms (normal, leak, half, broken and adhesion) was elaborated, and the GX-RetinaNet network model was proposed for surface defect detection and localization of quick-frozen dumplings. …”
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