Inter-laboratory ring test for environmental DNA extraction protocols: implications for marine megafauna detection using three novel qPCR assays by Lauren Kelly Rodriguez, Lorenzo De Bonis, Jack McKee, James A. McKenna, Teddy Urvois, Eleonora Barbaccia, Eileen Dillane, Caterina Lanfredi, Helene Hjellnes, Armelle Jung, Enrico Villa, Arianna Azzellino, Jon-Ivar Westgaard, Erwan Quéméré, Bettina Thalinger

“…Our findings revealed similar concentrations of total DNA, yet a significant reduction in extraction performance for targeted qPCR reactions by one laboratory, who has therefore modified their extraction method to be used for the remainder of this project. Overall, detection success differed based on the target taxa with sharks being less often detected (and at lower concentrations) than marine mammals. …”
Get full text

Gradual Variation-Based Dual-Stream Deep Learning for Spatial Feature Enhancement With Dimensionality Reduction in Early Alzheimer’s Disease Detection by Najmul Hassan, Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…Finally, a DL-based classification module is applied to detect early signs of Alzheimer’s disease. …”
Get full text

PO22 | Early detection and management of PICC-related thrombosis in oncohematologic patients through serial ultrasound monitoring: a prospective observational study

“…In all cases, early thrombosis was detected by CUS before clinical manifestation. Timely initiation of LMWH allowed catheter retention in all cases without malfunction or removal. …”
Get full text

[F]PSMA-1007 PET/MR as a Precision Biomarker for Early Detection of Biochemical Recurrence in Prostate Cancer at Very Low PSA Levels by Ko-Han Lin, Tzu-Chun Wei, Shu-Huei Shen, William Ji-Shien Huang, Mei-Hua Chuang, Nan-Jing Peng, Wen-Tao Huang, Yuh-Feng Wang

“…Follow-up imaging enhanced the detection rate to 73.1% by reclassifying initially equivocal findings. …”
Get full text

Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…Researchers have proposed numerous malware detection solutions for the past few years. Machine learning (ML) and deep learning (DL)-based detection models can decrease analysis time and increase malware detection accuracy. …”
Get full text

Development and characterization of gold nanoparticle-based colorimetric sensing assay functionalized with L-cysteine for the detection of calcium carbide in ripened mango and bana... by Aishwarya Dixit, Sonam Sonwal, Ashutosh Upadhyay, Vivek K. Bajpai, Yun Suk Huh, Shruti Shukla

“…The sensing strategy relied on the fact that the wherein introduction of CaC2 initiates aggregation, resulting in detectable color change (red to purple) that helps in detection of CaC2. …”
Get full text

Development of a novel Cas13a/Cas12a-mediated 'one-pot' dual detection assay for genetically modified crops by Lin Ding, Xiaofu Wang, Xiaoyun Chen, Xiaoli Xu, Wei Wei, Lei Yang, Yi Ji, Jian Wu, Junfeng Xu, Cheng Peng

“…Following centrifugation, the dual CRISPR (Cas13a/Cas12a) detection system was initiated. Fluorescence visualization was used to measure CaMV35S through the FAM channel and NOS through the HEX channel. …”
Get full text

Gender‐specific outcomes of low‐dose computed tomography screening for lung cancer detection: A retrospective study in Chinese never‐smoker population by Huihong Wang, Jicheng Xie, Yahong Chen, Jiang Jin, Meixian Zhang, TaoHsin Tung, Youzu Xu

“…These findings offer valuable reference for both clinical practice and future research initiatives.…”
Get full text

IBERBIRDS: A dataset of flying bird species present in the Iberian PeninsulaZenodo by Paula Rodríguez, Rubén Parte, Guillermo A. González, Alejandra Gacho, Darío Santos, Rubén Usamentiaga, Oscar D. Pedrayes

“…To address this gap, this article introduces IBERBIRDS—a comprehensive and publicly accessible dataset specifically designed to facilitate automatic detection and classification of flying bird species in the Iberian Peninsula under real-world conditions.The dataset comprises 4000 images representing 10 ecologically significant medium to large-sized bird species, with each image annotated using bounding box coordinates in the YOLO detection format. …”
Get full text

ECG for all patients in the PACU: Some say, why? I say, why not? by Paula

“…The aim of this discussion paper is to challenge health care professionals’ thinking about the use of ECG monitoring for the entire perioperative journey and inspire readers to implement this patient safety initiative. …”
Get full text

Evidence and characterisation of Xanthomonas arboricola pv. juglandis causing bacterial blight of walnut in Montenegro by Jelena Latinović, Nedeljko Latinović, Bogoljub Kandić, Aleksandra Jelušić, Tatjana Popović Milovanović

Get full text

FPGA Programming Challenges When Estimating Power Spectral Density and Autocorrelation in Coherent Doppler Lidar Systems for Wind Sensing by Sameh Abdelazim, David Santoro, Fred Moshary

Get full text

Development of a single‐nucleotide polymorphism panel genotyping system for genetic analysis of Chinese hamsters by Minghe Sun, Yafang Guo, Zhengnan Ren, Ang Song, Jing Lu, Changlong Li, Jianyi Lv, Meng Guo, Xin Liu, Xiaoyan Du, Zhaoyang Chen, Guohua Song, Yan He, Zhenwen Chen, Xueyun Huo

“…Here, we developed a novel Chinese hamster genetic quality detection system using single‐nucleotide polymorphism (SNP) markers. …”
Get full text

Horizontal Control System for Maglev Ruler Based on Improved Active Disturbance Rejection Controller by Gengyun Tian, Chunlin Tian, Jiyuan Sun, Shusen Diao

Get full text

Energy efficient hierarchical clustering based dynamic data fusion algorithm for wireless sensor networks in smart agriculture by Dhamodharan Srinivasan, Ajmeera Kiran, S. Parameswari, Jeevanantham Vellaichamy

“…The hierarchical clustering technique is used initially in the suggested method to group sensor nodes into clusters. …”
Get full text

Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach by Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, Amit Kohli

Get full text

Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management by Caroline M. Gevaert, Thomas Buunk, Marc J.C. van den Homberg

Get full text

An enhanced network for extracting tunnel lining defects using transformer encoder and aggregate decoder by Bo Guo, Zhihai Huang, Haitao Luo, Perpetual Hope Akwensi, Ruisheng Wang, Bo Huang, Tsz Nam Chan

“…In the decoder, multi-scale information is initially aggregated using a Multi-Layer Perceptron (MLP) module. …”
Get full text

A Robust Seamline Extraction Method for Large-Scale Orthoimages Using an Adaptive Cost A* Algorithm by Zhonghua Hong, Zihao Zhang, Shangcheng Hu, Ruyan Zhou, Haiyan Pan, Shijie Liu, Qing Fu, Xiaohua Tong

“…The method does not require pre-extraction of image features and constructing a cost map; instead, it dynamically detects impassable regions in the overlapping areas during the A* path search process. …”
Get full text

Multi-vessel target tracking with camera fusion for unmanned surface vehicles by Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Yeong-Min Jo, Jisang Ha, Nam-Sun Son

“…Initially, real-sea images were collected for maritime obstacle detection, and a deep-learning-based detection model was trained on them. …”
Get full text