Mycobacterium tuberculosis complex detected by modified fluorescent in situ hybridization in lymph nodes of clinical samples by Juan Rodriguez-Nuñez, Francisco J Avelar, Francisco Marquez, Bruno Rivas-Santiago, Cesar Quiñones, Alma L. Guerrero-Barrera

“…Conventional diagnosis has serious limitations for rapid detection of extrapulmonary tuberculosis in clinical samples. …”
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Analytical assessment of metagenomic workflows for pathogen detection with NIST RM 8376 and two sample matrices by Jason G. Kralj, Stephanie L. Servetas, Samuel P. Forry, Monique E. Hunter, Jennifer N. Dootz, Scott A. Jackson

“…In this work, we demonstrate how spike-ins elucidate workflow performance in two highly dissimilar sample types (stool and CSF), and we provide evidence that detection of individual organisms is unaffected by background sample composition, making detection sample-agnostic within a workflow. …”
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Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context. by Thomas W Willis, Chris Wallace

“…The genetic correlation is a well-known means of quantifying and testing for genetic similarity between traits, but its estimates are subject to comparatively large sampling error. This makes it unsuitable for use in a small-sample context. …”
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Impact and compensation of sample clock offset in I-CFDMA uplink by Dan DING, Nai-ping CHENG, Yu-rong LIAO

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DEveloping Tests for Endometrial Cancer deTection (DETECT): protocol for a diagnostic accuracy study of urine and vaginal samples for the detection of endometrial cancer by cytology in women with postmenopausal bleeding by Suzanne Carter, Eleanor R Jones

“…The primary objective is to determine the diagnostic accuracy of urogenital samples for endometrial cancer detection by cytology. …”
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Effective method of prompt detection of radiolocation target by A. D. Lobanov, A. I. Schemelev

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An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix by Jianyuan NIE, Jianrong BAO, Bin JIANG, Chao LIU, Fang ZHU, Jianhai HE

“…In recent years,with the blind detection algorithms were proposed,more and more blind algorithms based on sampling covariance matrix were applied to spectrum sensing.The detection threshold was an approximation,and the detection performance would be affected for this algorithms.Thus,the mixed kernel function support vector machine (SVM) efficient spectrum sensing based on sampling covariance matrix was proposed.The statistics which were maximum minimum eigenvalue (MME) and covariance absolute value (CAV) of sensing signal sampling covariance matrices were used as the feature vectors of SVM and were trained to generate a spectrum sensing classifier.The advantage of this algorithm was that it needn’t calculate the detection threshold and the extraction of features reduces size of the sample set.The genetic algorithm (GA) was used to optimize the parameters of mixed kernel function SVM algorithm.The experimental results show that the proposed method has higher detection probability than MME and CAV algorithms,and has less sensing time than SVM,which has good practicability.…”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

Subjects: “…3D object detection…”
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Detecting Outliers in Exponentiated Pareto Distribution by M. Jabbari Nooghabi

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Earthworms as biomarkers for detecting soil pollution around swine farms in Timiș County by Crina L. Moșneang, Andreea Pap, Romeo T. Cristina

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Detection of DNA methylation from buccal swabs using nanopore sequencing to study stunting by Alim El-Hakim, Inswasti Cahyani, Muhammad Zulfikar Arief, Gilang Akbariani, Asep Muhamad Ridwanuloh, Syam Budi Iryanto, Ratih Rahayu, Daeng Deni Mardaeni, Vincentius Budhyanto, Yusnita, Wening Sari, Anggi Pn Hidayati, Intan Razari, Silviatun Nihayah, Kinasih Prayuni, Chandra Utomo, Ratih Asmana Ningrum, Susanti Susanti, Ahmad Utomo

Subjects: “…Adaptive sampling…”
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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

Subjects: “…Intrusion detection systems…”
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Enhancing fraud detection in imbalanced motor insurance datasets using CP-SMOTE and Random Under-Sampling by Pornpawee Komsrimorakot, Thitirat Siriborvornratanakul

“…Abstract Detecting fraudulent claims in motor insurance remains a critical challenge due to the severe class imbalance between fraudulent and legitimate cases. …”
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Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models by Mohammed Z. Damudi, Anita S. Kini

“…To address this, we propose a novel single-step sampling procedure that hugely improves the sampling speed while generating images of comparable quality. …”
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Detection of Escherichia coli Using Loop-Mediated Isothermal Amplification for a Novel Air Sampling System by Hülya Eraslan-Gültekin, Ali Fuat Ergenc

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Vaginal Sampling of Amniotic Fluid in pPROM: A New Technique for Early Detection of Subclinical Chorioamnionitis? by Salvatore Gizzo, Marco Noventa, Anna Bertocco, Erich Cosmi, Giovanni Battista Nardelli

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Development and Verification of Sampling Timing Jitter Noise Suppression System for Phasemeter by Tao Yu, Ke Xue, Hongyu Long, Mingzhong Pan, Zhi Wang, Yunqing Liu

Subjects: “…space gravitational wave detection…”
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Adaptable electro-optic detection of THz radiation using a laser-written bull’s-eye antenna by Hesam Heydarian, Xitong Xie, Aswin Vishnuradhan, Wei Cui, Arnaud Weck, Angela Gamouras, Jean-Michel Ménard

“…Additionally, the plasmonic structure minimizes diffraction effects allowing a relatively long interaction length between the transmitted THz field and the co-propagating near-infrared gating pulse used in an electro-optic sampling configuration. We show an increased detection sensitivity over a large spectral range extending from 1.4 THz to 3.1 THz with a peak enhancement factor of 3.1 at 2.7 THz. …”
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SARB-DF: A Continual Learning Aided Framework for Deepfake Video Detection Using Self-Attention Residual Block by P.G Prathibha, P. S. Tamizharasan, Alavikunhu Panthakkan, Wathiq Mansoor, Hussain Al Ahmad

“…We enable the deepfake detection process with continual learning to improve detection capability and improve generalization. …”
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Detection of Lunar Regolith Acquired by Excavator Using Radiofrequency (RF) Sensors by Krzysztof Kurek, Karol Seweryn, Arkadiusz Tkacz, Gunter Just

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