Incidental imaging detection of Kartagener syndrome in a female: A case report by Natasha Dhakal, MBBS, Prajwal Dahal, MD

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A statistical framework for detecting therapy-induced resistance from drug screens by Chenyu Wu, Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder

“…Moreover, many anticancer therapies induce plasticity, converting initially drug-sensitive cells to a more resistant state, e.g. through epigenetic processes and de-differentiation programs. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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The Journey of Artificial Intelligence in Food Authentication: From Label Attribute to Fraud Detection by Dana Alina Magdas, Ariana Raluca Hategan, Maria David, Camelia Berghian-Grosan

“…Artificial intelligence (AI) tends to be extensively used to develop reliable, fast, and inexpensive tools for authenticity control. Initially applied for food differentiation as an alternative to statistical methods, AI tools opened a new dimension in adulteration identification based on images. …”
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NSLS: A Neighbor Similarity and Label Selection-Based Algorithm for Community Detection by Shihu Liu, Hui Chen, Shuang Li, Xiyang Yang

“…Community detection is still regarded as one of the most applicable methods for discovering latent information in complex networks. …”
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Detection of Alzheimer’s Disease Using Hybrid Meta-ROI of MRI Structural Images by Xiaoming Zheng, on behalf of the Alzheimer’s Disease Neuroimaging Initiative

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A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta

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Lightweight Pyramid Cross-Attention Network for No-Service Rail Surface Defect Detection by Sixu Guo, Jiyou Fei, Liying Wang, Hua Li, Xiaodong Liu

“…To tackle these challenges, this paper introduces the Lightweight Pyramid Cross-Attention Network (LPCANet) for rail defect detection using RGB and depth images. Initially, a Lightweight Pyramid Module (LPM) is designed to extract multi-scale feature maps from depth images, while a backbone is used to capture pyramid feature details from RGB images. …”
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An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy by Yufeng Lu, Chenglou Liu, Haichao Hong, Yunwei Huang, Tingwei Ji, Fangfang Xie

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Bioactive Paper Sensor Based on the Acetylcholinesterase for the Rapid Detection of Organophosphate and Carbamate Pesticides by Mohamed E. I. Badawy, Ahmed F. El-Aswad

“…The biosensor is able to detect organophosphate and carbamate pesticides with good detection limits (methomyl=6.16×10-4 mM and profenofos=0.27 mM) and rapid response times (~5 min). …”
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Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

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Impact of Right-Hand Polarized Signals in GNSS-R Water Detection Algorithms by Jilun Peng, Estel Cardellach, Weiqiang Li, Serni Ribo, Antonio Rius

“…The water detection algorithm for the dual-polarized HydroGNSS mission was validated using spaceborne left-hand circular polarization (LHCP) data from the cyclone global navigation satellite system. …”
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Patrolling and Cleaning: Threat Detection and Response Behaviors of Soldiers in a Social Aphid by Zhixiang Liu, Zhentao Cheng, Hui Zhang, Xiaolei Huang

“…<i>C. lanigera</i> soldiers continuously patrol around the colony to detect potential threats. When encountering potential threats or obstacles, soldiers actively initiate cleaning behavior. …”
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Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection by Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, the CMS-HCAL Collaboration

“…The key contributions of the study include exploring TL’s potential and limitations within the context of encoder and decoder networks, revealing insights into model initialization and training configurations that enhance performance while substantially reducing trainable parameters and mitigating data contamination effects.…”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

“…Graph anomaly detection is crucial in many high-impact applications across diverse fields. …”
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CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning by Abdulrahman A. Alkannad, Ahmad Al Smadi, Shuyuan Yang, Mutasem K. Al-Smadi, Moeen Al-Makhlafi, Zhixi Feng, Zhenlong Yin

“…The framework utilizes pre-trained Convolutional Neural Networks (CNNs), such as ResNet50, Xception, and InceptionV3, which are fine-tuned to address the unique challenges of concrete crack detection. Initially trained on extensive datasets, these models have been further enhanced to improve their accuracy and reliability. …”
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Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history. by Gabriel A A Silva, Avril M Harder, Kenneth B Kirksey, Samarth Mathur, Janna R Willoughby

“…To address these challenges, we suggest using a combination of ROH detection tools and ROH length-specific inferences, along with sensitivity analysis, to generate robust and context-appropriate population inferences regarding inbreeding history. …”
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A Novel Method for Epileptic Seizure Detection Using Separable Gabor Wavelets by Aswini Kumar Samantaray, Amol D. Rahulkar

“…In clinical therapy, epileptic seizure detection is receiving more and more attention. The analysis of scalp electroencephalograms (EEGs) is a widely used method for detecting brain abnormalities related to seizure onset. …”
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NID-DETR: A novel model for accurate target detection in dark environments by Qingyuan Pan, Qiang Liu, Wei Huang

“…Abstract Target detection in low-light conditions poses significant challenges due to reduced contrast, increased noise, and color distortion, all of which adversely affect detection accuracy and robustness. …”
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Discovery and Validation of Novel Biomarkers for Colorectal Neoplasia Detection via Plasma Metabolomics by Jianv Huang, Le Wang, Xiang Zhang, Xinyi Liu, Junyan Miao, Yuefan Shen, Chengqu Fu, Xianxiu Ge, Xue Wang, Jiancong Hu, Guanman Li, Yang Sun, Yinglei Miao, Juncheng Dai, Lingbin Du, Hongxia Ma, Guangfu Jin, Ni Li, Lin Miao, Zhibin Hu, Xiaosheng He, Jun Yu, Hongbing Shen, Dong Hang

“…ABSTRACT Metabolic disturbance plays a critical role in the initiation of colorectal cancer (CRC), yet the identification of metabolites that are useful for early detection of CRC and its precursor lesions remains elusive. …”
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