Prospective evaluation of the diagnostic accuracy of FDG-PET/CT for the detection of sternal wound infection post-sternotomy by Angela Cai, Mehrshad Bakhshi, Yoan Lamarche, Francois Harel, Matthieu Pelletier-Galarneau

“…Sensitivity and specificity of FDG-PET/CT for detection of DSWI were 67% and 66%, respectively and an accuracy of 66% was obtained. …”
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Four Central Nanocavity of Ultra-Sensitive Refractive Index Biosensor for Cancer Detection in Hexagonal Photonic Crystal by William Matsui, Jianqiao Fang

“…We design and analysis of a novel biosensor with four center nanocavity in hexagonal photonic crystal (PhC) is presented. This biosensor can detect cancer cells from normal cells. The main performance of the detection is based on glass nanocavity and the samples refractive index. …”
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The role of multifocal visual evoked potential in detection of minimal hepatic encephalopathy in patients with compensated liver cirrhosis by Reem M. Sabry, Osama Hamad, Hossam Eldin Mohamed Khalil, Sahar Ibrahim Mohammed, Ragaey Ahmad Eid, Hanan Hosny

“…Conclusion mfVEP demonstates promising results for objective early detection of MHE, with a sensitivity of approximately 92.9%.…”
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How Trichoderma Enhances Plant Defense Enzymes in Food Crops: Current Insights and Future Perspectives in Asia by Hasan Albana, Nurbailis Nurbailis, Darnetty Darnetty

Subjects: “…Food crops, induce systemic resistance, plant defense enzymes, Trichoderma spp.…”
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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

“…An advanced deep learning method for computer-aided disease diagnosis that detects pigment signs (PS) in RP patients, enabling ophthalmologists to identify and treat the condition on or before schedule. …”
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Enhancing Monkeypox Detection through Data Analytics: A Comparative Study of Machine and Deep Learning Techniques by Kinjal A. Patel, Asadi Srinivasulu, Kuntesh Jani, Goddindla Sreenivasulu

Subjects: “…monkeypox detection…”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

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Dosadašnja iskustva i buduće tendencije u kopnenom minskom ratovanju, International defense review, 1989 by M.P.

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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…Abstract This investigation presents the development and characterization of an advanced piezoelectric perovskite-based biosensing platform optimized for formalin detection in aqueous media through the implementation of Locally Weighted Linear Regression (LWLR) machine learning algorithms. …”
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Direct detection and identification of viruses in saliva using a SpecID ionization modified mass spectrometer. by Pierre Alusta, Angel Paredes, Marli Azevedo, Lisa Mullis, Dan Buzatu

“…Polymerase chain reaction (PCR) remains the gold standard for sensitive detection of SARS-CoV-2 infection in biological samples. …”
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Eksperimentalno nemačko borbeno vozilo - točkaš (8 X 8) 'EXF', International defense review, 1990 by M.P.

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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…The proposed method, which performs fault detection and classification together, just requires local information and functions effectively to discriminate faulty from normal conditions considering different uncertainty of resistance faults. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…HAQ alone achieves about 40% of the performance improvements seen with SPACE images as input, allowing for fast and accurate, fully automated detection of small (< 1 cm) BMs. Relevance statement Training with higher-quality annotations, created using the SPACE sequence, improves the detection and delineation sensitivity of DL methods for the detection of brain metastases (BMs)on MPRAGE images. …”
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SARS-COV-2 viral RNA detection through oligonucleotide-capped nanoporous anodic alumina supports. by Alba López-Palacios, María Nieves Aranda, Isabel Caballos, Andy Hernández-Montoto, Eva Calabuig, María Dolores Gómez-Ruiz, María Ángeles Tormo-Mas, Javier Pemán, Félix Sancenón, Ramón Martínez-Máñez, Elena Aznar, Estela Climent

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MLHI-Net: multi-level hybrid lightweight water body segmentation network for urban shoreline detection by Jianhua Ye, Pan Li, Yunda Zhang, Ze Guo, Shoujin Zeng, Youji Zhan

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Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band by Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker

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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Machine learning techniques for detection and classification are commonly used in current medical diagnoses. …”
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PARENTING STYLE AS PREDICTORS OF PSYCHOLOGICAL WELL-BEING OF STUDENTS OF NIGERIAN DEFENCE ACADEMY STAFF SCHOOL KADUNA by JONATHAN IORNENGE UGESE, OKOLO IFELUNWA, CHIBUIKE CHINONSO MGBEANULI, CHINONSO NDUBISI UGWUOWO, OKAFOR ONYEDIKACHI JOSEPH, SUNNI ISAAC MALLO, WALTER IWOBI CHUKWUEMEKA

“… This study investigates the predictive relationship between parenting styles and the psychological well-being of students attending the Nigerian Defence Academy Staff School in Kaduna. Drawing on a sample of 200 participants, data were collected using a cross-sectional survey design, with measures including the Parenting Care Scale (PCS) and the Brief Psychological Wellbeing Scale. …”
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In defence of South Africa’s National Health Research Ethics Council guidelines on heritable human genome editing by Donrich Thaldar, Sheetal Soni, Larisse Prinsen, Ntokozo Mnyandu, Marietjie Botes, Julian Kinderlerer

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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

Subjects: “…Early diabetes detection…”
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