HES V2.0 surpasses GALAD for HCC detection: a review of multi-dimensional biomarker scores and studies by Fouad Jaber, Hashem B. El-Serag

“…We review the shift toward multi-dimensional scores such as HCC early detection screening (HES), GALAD, ASAP, and mt-HBT represents a significant advancement in biomarker research for hepatocellular carcinoma (HCC) detection. …”
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Sensitive detection of gene expression in mycobacteria under replicating and non-replicating conditions using optimized far-red reporters. by Paul Carroll, Lise J Schreuder, Julian Muwanguzi-Karugaba, Siouxsie Wiles, Brian D Robertson, Jorge Ripoll, Theresa H Ward, Gregory J Bancroft, Ulrich E Schaible, Tanya Parish

“…Treatment of cells with antibiotics demonstrated that mCherry could also be used as a reporter for cell death, since fluorescence decreased in the presence of a bactericidal compound, but remained stable in the presence of a bacteriostatic compound. mCherry was functional under hypoxic conditions; using mCherry we demonstrated that the P(mtbB) is expressed early in hypoxia and progressively down-regulated. mCherry and other far-red fluorescent proteins will have multiple uses in investigating the biology of mycobacteria, particularly under non-replicating, or low cell density conditions, as well as providing a novel means of detecting cell death rapidly.…”
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MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image by Wuyang Shan, Jingchuan Yue, Steven X. Ding, Junying Qiu

“…Finally, use the fused features to detect forgery and generate a predicted mask in a coarse-to-fine progression. …”
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Distribution of Parasites Detected in Stool Samples of Patients in Le Dantec University Hospital of Dakar, Senegal, from 2011 to 2015 by Khadim Diongue, Mouhamadou Ndiaye, Mame Cheikh Seck, Mamadou Alpha Diallo, Yaye Dié Ndiaye, Aïda Sadikh Badiane, Daouda Ndiaye

“…To identify the parasites responsible for intestinal parasitic infections diagnosed at Le Dantec University Hospital of Dakar, distribution of parasites detected in stool samples of patients was studied. …”
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What is the prevalence of COVID-19 detection by PCR among deceased individuals in Lusaka, Zambia? A postmortem surveillance study by Lawrence Mwananyanda, William B MacLeod, Donald M Thea, Rachel C Pieciak, Christopher J Gill, Geoffrey Kwenda, Zachariah Mupila, Rotem Lapidot, Leah Forman, Lauren Etter, Ruth Nakazwe, Daniel Bridges, Chilufya Chikoti, Sarah Chirwa, Charles Chimoga, Ben Katowa, James Lungu, Japhet Matoba, Gift Mwinga, Benjamin Mubemba, Walter Muleya, Mulenga Mwenda, Benard Ngoma, Diana Nzara, Natalie Pawlak, Lillian Pemba, Ngonda Saasa, Edgar Simulundu, Baron Yankonde

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A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

“…Abstract Alzheimer’s Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. Computer-aided systems can help physicians in the early and accurate detection of AD, enabling timely intervention and effective management. …”
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Prognostic Value of the Immunohistochemical Detection of Cellular Components of the Tumor Microenvironment in Oral Squamous Cell Carcinoma: A Systematic Review by Hannah Gil de Farias Morais, Caroline Fernandes da Costa, Maurília Raquel de Souto Medeiros, Bárbara de Assis Araújo, Everton Freitas de Morais, Ricardo D. Coletta, Roseana de Almeida Freitas

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Development of an Automated Crack Detection System for Port Quay Walls Using a Small General-Purpose Drone and Orthophotos by Daiki Komi, Daisuke Yoshida, Tomohito Kameyama

“…This approach ensures reliable detection with a sufficient safety margin and enables the proactive monitoring of crack progression for preventive maintenance. …”
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Automated violence monitoring system for real-time fistfight detection using deep learning-based temporal action localization by Baolong Qi, Baoyuan Wu, Bailing Sun

“…However, essential individual features can be extracted by examining human skeletal movements’ progression and temporal patterns. This paper presents a novel multimodal spatio-temporal fistfight detection model (MSTFDet) that integrates RGB images and human skeletal data to identify violent behaviors accurately. …”
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Adaptive Congestion Detection and Traffic Control in Software-Defined Networks via Data-Driven Multi-Agent Reinforcement Learning by Kaoutar Boussaoud, Abdeslam En-Nouaary, Meryeme Ayache

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Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…A precisely controlled hydrodynamic force field progressively disrupts adhesion in multiple stages, reducing mechanical stress and preserving cell integrity. …”
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Optimization of High-Frequency Ultrasound Imaging to Detect Incremental Changes in Mineral Content at the Cartilage–Bone Interface Ex Vivo by Akshay Charan, Parag V. Chitnis, Caroline D. Hoemann

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Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis by Nhat-Duc Hoang, Quoc-Lam Nguyen, Xuan-Linh Tran

“…Recognition of spalling on surface of concrete wall is crucial in building condition survey. Early detection of this form of defect can help to develop cost-effective rehabilitation methods for maintenance agencies. …”
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Evaluation of direct 16S rRNA PCR from clinical samples for bacterial detection in normally sterile body sites by Serife Satilmis, Nurver Ulger Toprak, Can Ilgın, Guner Soyletir

“…Mixed chromatograms were analyzed with the RipSeq Mixed program, and Stata 15.1 was used for statistical analysis. …”
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Development and Validation of Rapid Colorimetric Reverse Transcription Loop-Mediated Isothermal Amplification for Detection of Rift Valley Fever Virus by Francis Wekesa, Mark Wamalwa, Richard Oduor, Yatinder Binepal, Leonard Ateya, Noah Okumu, Angela M’kwenda, Christopher Masaba, Eugine Mukhaye

“…The aim of this study was to develop a novel one-step reverse transcription loop-mediated isothermal amplification (RT-LAMP) method for the rapid detection of RVFV. To achieve this, the selected RVFV M segment nucleotide sequences were aligned using Multiple Sequence Comparison by Log-Expectation (MUSCLE) software in MEGA11 version 11.0.11 program to identify conserved regions. …”
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Optimizing feature selection and deep learning techniques for precise detection of low-rate distributed denial of service (LDDoS) attack by Naeem Ali Al-Shukaili, Miss Laiha M. Kiah, Ismail Ahmedy

“…Slowloris is a DoS attack program to overwhelm the attackers by creating several HTTPS connections between server and attackers. …”
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Highly Curated and Reliable E-Probes for Detection of Viral Pathogens in Unassembled High-Throughput Sequencing Datasets from Hops by Ali Pasha, Andres S. Espindola, Heiko Ziebell, Francisco M. Ochoa‐Corona

“…Implementing high-throughput sequencing (HTS) in virus detection has recently become widespread. Bioinformatic expertise, programming skills, and access to high-capacity computers are essential for HTS data analysis. …”
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A Hybrid Model for Early Melanoma Detection: Integrating YOLOv9 and Faster R-CNN for Enhanced Diagnostic Accuracy by Mohamed I. Marie, Mohamed S. Elredeny, Ahmad Essayed Yakoub

“…Melanoma accounts for only 1% of skin cancer diagnoses yet causes the majority of skin cancer-related deaths due to its rapid progression and high metastatic potential. Early and accurate detection is crucial for improving patient outcomes; however, existing deep learning models often struggle to balance diagnostic precision with real-time efficiency. …”
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Improved potassium reliability in whole blood through hemolysis detection on the novel GEM Premier 7000 blood gas analyzer by Pighi Laura, Salvagno Gian Luca, Marcazzan Filippo, Rizza Mariateresa, Lippi Giuseppe

“…Background: Hemolysis is the most frequent preanalytical error in clinical laboratories, but its detection in point-of-care (POC) settings remains challenging due to the lack of sample separation. …”
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Rapid Microfluidic Biosensor for Point-of-Care Determination of Rheumatoid Arthritis via Anti-Cyclic Citrullinated Peptide Antibody Detection by Wei-Yu Tai, To-Lin Chen, Hsing-Meng Wang, Lung-Ming Fu

“…This study introduces a microfluidic detection platform that combines a microfluidic reaction chip with a micro-spectrometer to accurately detect the anti-cyclic citrullinated peptide antibody (anti-CCP Ab) biomarker, commonly associated with arthritis. …”
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