Concave Magnetic-Responsive Hydrogel Discs for Enhanced Bioassays by Amin Ghaffarzadeh Bakhshayesh, Huiyan Li

“…The increased surface area and ease of fabrication make our CMDs efficient and adaptable for various biological and biomedical applications, particularly in point-of-care diagnostics where rapid and accurate biomarker detection is critical.…”
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SMoFFI-SegFormer: a novel approach for ovarian tumor segmentation based on an improved SegFormer architecture by Qiuyin Xie, Jianuo Huang, Jingyang Sun, Chenxi Huang, Caixu Xu

“…Ovarian cancer remains one of the most lethal gynecological malignancies, posing significant challenges for early detection due to its asymptomatic nature in early stages. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

“…Bolt loosening, a critical failure mode at the joints of various working parts of combine harvesters, is a prevalent concern. The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. …”
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Development and Perfection of Marine-Based Insecticide Biofilm for Pea Seed Protection: Experimental and Computational Approaches by Fatouma Mohamed Abdoul-Latif, My Ismail El Mhamdi, Ayoub Ainane, Ali Merito Ali, Khadija Oumaskour, Sanaa Cherroud, Stefano Cacciatore, Tarik Ainane

“…Moreover, the computational approach showed that Calothrixin A interacts more efficiently with the OR5-Orco complex than with the small OBP, disrupting the olfactory detection of insects. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…The combined complexity of wind turbine systems and harsh operating conditions pose significant challenges to the accuracy of operational data in Supervisory Control and Data Acquisition (SCADA) systems. …”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…To evaluate the proposed architecture, we tested it on three datasets of varying complexity and size. The results demonstrate the applicability of the proposed solution and its efficiency for skin cancer classification.…”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Precise 3D representations of complex and dynamic site geometries is essential for obstacle detection, progress monitoring, and safe operation. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…This study presents RDM-YOLO, a computationally efficient deep learning framework derived from YOLOv5s architecture, specifically designed for the automated detection of three essential behaviors (resting, wriggling, and eating) in fourth instar silkworms. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…It integrates Machine Learning as a highly impressive advancement for making scalable, efficient, and accurate tools for astronomical data which face increasing complexity and volume. …”
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COVID-19 Pandemic as an Indicator of «Blank Spots» in Epidemiology and Infectious Pathology by M. V. Supotnitskiy

“…High transmissibility of SARS-CoV-2 is possible because: the binding energy of S1 protein of the virus with its receptor ACE2 is higher than that of viruses of closely related species; the virus penetrates into the endosomes of the cells more efficiently; because of the work of the replication-transcription complex, which counteracts the innate protective response of cells. …”
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Systems Biology of Recombinant 2G12 and 353/11 mAb Production in CHO-K1 Cell Lines at Phosphoproteome Level by Eldi Sulaj, Felix L. Sandell, Linda Schwaigerlehner, Gorji Marzban, Juliane C. Dohm, Renate Kunert

“…<b>Background</b>: Chinese hamster ovary (CHO) cells are extensively used in the pharmaceutical industry for producing complex proteins, primarily because of their ability to perform human-like post-translational modifications. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…This demonstrates its robustness in real scenarios and provides a new idea for recognizing pointers in low-quality images more efficiently and accurately in complex industrial scenarios.…”
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Issues in shale oil core porosity measurement by Jinqing ZHANG, Guoliang TAO, Dai HUANG, Cuijuan LUO, Lingbo LIU, Yunfeng YANG

“…Bulk samples require a long time for pressure equilibrium due to their complex pore tortuosity, while grain samples exhibit improved nanopore connectivity in shale with more pore space detected, making the measurement more accurate and reliable. …”
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Overview of Oncology: Drug-Induced Cardiac Toxicity by Nilima Rajpal Kundnani, Vincenzo Passini, Iulia Stefania Carlogea, Patrick Dumitrescu, Vlad Meche, Roxana Buzas, Daniel Marius Duda-Seiman

“…Conventional biomarkers alone can only indicate some degree of damage that has already occurred and, therefore, early detection is key. Novel methods like genetic profiling are being developed to detect individuals at risk, prior to the onset of clinical symptoms. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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Advancement in PMN-PT transparent piezoelectric ceramic for photoacoustic/ultrasound dual-mode imaging by Pengkun Guo, Wen Gao, Riqiang Lin, Xiatian Wang, Jiale Lan, Jiaming Zhang, Yanan Wang, Lin Zhu, Yongcheng Zhang, Feng Li, Weijie Zheng, Tianlong Zhao, Kwok-Ho Lam, Xiaojing Gong, Zhihua Xie, Yalin Qin, Shujun Zhang

“…In traditional dual-mode imaging systems, however, the opaque ultrasound transducers are integrated in complex optical and ultrasound paths, leading to compromises in imaging efficiency and sensitivity. …”
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Progress and key technology analysis of bronchoscopic robot by Xingguang DUAN, Dongsheng XIE, Fengxinyun FANG, Rui HE, Changsheng LI

“…This synergy allows for highly precise detection and treatment of lung tissue and lesions. …”
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Multiple active site metal-based catalysts for C-N coupling reactions and the beyond by Mingzheng Shao, Yangbo Ma, Yuecheng Xiong, Liang Guo, Yunhao Wang, Guozhi Wang, Fu Liu, Fengkun Hao, Xiang Meng, Xintao Ma, Zhanxi Fan

“…However, the low Faradaic efficiency and poor selectivity of C-N coupling reactions, arisen from obscure understanding of the complex multi-step reactions and competitive side reactions, hinder their practical applications. …”
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