A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…Fluorescent probes offer high sensitivity, selectivity, a rapid response, and ease of use, making them ideal for the accurate and efficient recognition of Co²⁺ in complex samples. …”
Get full text

Tip optofluidic immunoassay: Evaluating COVID-19 antibody protection with 1 μL fingertip blood by Xiaotian Tan, Yujuan Chai, Ruihan Li, Binmao Zhang, Hao Li, Jie Zhang, Tianen Zhu, Weishu Wu, Lixiang An, Shi Hu, Bin Yang, Li Wang, Zhenqiu Cao, Hongjiu Zhang, Peng Wang, Lingling Yu, Shan Yin, Xingyu Li, Fei Shao, Jianheng Huang, Jinze Li, Fan Yang, Chao Zhao, Jiajia Guo, Lin Zeng, Dong Liang, Zhengting Zou, Hairong Zheng, Xudong Fan, Liangzhi Xie, Yunlong Cao, Hui Yang

“…TOI achieves a broad dynamic range (3–4 orders of magnitude), high signal-to-noise ratio (∼10,000), and excellent sensitivity for immunoglobulin G (IgG) detection. A renovated version of the rapid in vitro inhibition assay (RIVIA) is incorporated to evaluate neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with greater speed and cost-efficiency. …”
Get full text

Exploring Gene Expression and Alternative Splicing in Duck Embryonic Myoblasts via Full-Length Transcriptome Sequencing by Jintao Wu, Shuibing Liu, Dongcheng Jiang, Ya’nan Zhou, Hongxia Jiang, Xiaoyun Xiao, Boqian Zha, Yukai Fang, Jie Huang, Xiaolong Hu, Huirong Mao, Sanfeng Liu, Biao Chen

“…This extensive transcriptomic investigation not only sheds light on the intricate molecular mechanisms driving skeletal muscle development in ducks but also provides significant insights for future breeding strategies aimed at enhancing the efficiency of duck production. The results emphasize the efficacy of ONT sequencing in uncovering complex regulatory networks within avian species, ultimately contributing to progress in animal husbandry.…”
Get full text

Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

“…Effective brain cancer detection is crucial for patients’ safety and health. …”
Get full text

High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
Get full text

JET: Fast Estimation of Hierarchical Time Series Clustering by Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock

“…One such application is the development of jet engines, which involves numerous test runs and failure detection processes. While effective data mining algorithms exist for the detection of anomalous and structurally conspicuous test recordings, these algorithms do not perform any semantic labeling. …”
Get full text

Optimised Extension of an Ultra-Low-Power RISC-V Processor to Support Lightweight Neural Network Models by Qiankun Liu, Sam Amiri

“…With the increasing demand for efficient deep learning models in resource-constrained environments, Binary Neural Networks (BNNs) have emerged as a promising solution due to their ability to significantly reduce computational complexity while maintaining accuracy. …”
Get full text

IoT Based Meat Freshness Classification Using Deep Learning by Zarif Wasif Bhuiyan, Syed Ali Redwanul Haider, Adiba Haque, Mohammad Rejwan Uddin, Mahady Hasan

“…The custom CNN showed a clear advantage in handling the complex image data, particularly in distinguishing between beef and mutton species as well as their freshness levels. …”
Get full text

Law enforcement in context of transformation of the labor sphere and modernization of the theory of labor relations by S. Yu. Chucha

“…It proves the need to release the employee from liability for offenses detected by artificial intelligence. It is proposed to continue research on the prospects for the formation of labor procedural law.…”
Get full text

Marker-assisted selection in the development of advanced apple-tree forms and donors combining scab resistance with increased fruit storability by I. I. Suprun, E. A. Egorov, A. I. Nasonov, E. V. Lobodina, S. V. Tokmakov, I. V. Stepanov

“…They can also be used for breeding purposes as complex donors.…”
Get full text

PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data by Dandan Li, Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Juntao Gu, Chao Li, Weipeng Jing

“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
Get full text

Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing by Zeqiang Linli, Xingcheng Liang, Zhenhua Zhang, Kang Hu, Shuixia Guo

“…Here, we introduced Spectral-normalized Neural Gaussian Process (SNGP) accompanied by 2.5D slice approach for seamless uncertainty integration in a single network with low computational expenses, and extra dimensional data integration without added model complexity. Subsequently, we compared different deep learning methods for estimating brain age uncertainty via the Pearson correlation coefficient, a metric that helps circumvent systematic underestimation of uncertainty during training. …”
Get full text

Leveraging artificial intelligence for photo identification to aid CITES enforcement in combating illegal trade of the endangered humphead wrasse (Cheilinus undulatus) by C. Y. Hau, W. K. Ngan, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson, Y. Sadovy de Mitcheson

“…To address this, a photo identification system utilizing the unique complex facial patterns of humphead wrasse was established enabling enforcement officers to detect possible laundering by monitoring individual fish at retail outlets.Methods and resultsDeep learning models were developed for facial pattern extraction and comparison to enhance efficiency and accuracy. …”
Get full text

Soil Organic Matter Content Prediction Using Multi-Input Convolutional Neural Network Based on Multi-Source Information Fusion by Li Guo, Qin Gao, Mengyi Zhang, Panting Cheng, Peng He, Lujun Li, Dong Ding, Changcheng Liu, Francis Collins Muga, Masroor Kamal, Jiangtao Qi

“…Soil organic matter (SOM) content is a key indicator for assessing soil health, carbon cycling, and soil degradation. Traditional SOM detection methods are complex and time-consuming and do not meet the modern agricultural demand for rapid, non-destructive analysis. …”
Get full text

Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
Get full text

Utilizing process mining in quality management: A case study in radiation oncology. by Mohammad Bakhtiari

“…Radiation oncology is known for its complexity, inherent risks, and sheer volume of data. …”
Get full text

Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments.…”
Get full text

Hardware and Software Methods for Secure Obfuscation and Deobfuscation: An In-Depth Analysis by Khaled Saleh, Dirar Darweesh, Omar Darwish, Eman Hammad, Fathi Amsaad

“…While various techniques exist to enhance software and hardware security, including encryption, native code, and secure server-side execution, obfuscation emerges as a preeminent and cost-efficient solution to address these challenges. Obfuscation purposely converts software and hardware to improve complexity for probable adversaries, targeting obscure realization operations while preserving safety and functionality. …”
Get full text

A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
Get full text

Study of local inflammatory response in different clinical forms of chronic polypous rhinosinusitis by E. A. Varyushina, E. V. Bezrukova, E. V. Vorobeychikov, E. V. Kravchenko, J. V. Sukhareva, M. A. Aflitonov, A. S. Simbirtsev

“…In all clinical forms of CPMS, complex histopathological changes were observed, including leukocyte infiltration, fibrosis, edema, and collagen depositions. …”
Get full text