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Sex and racial differences in prevalence and clinical characteristics of people living with LDLR and PCSK9 familial hypercholesterolemia genetic variants: Data from the All of Us R...
Published 2025-06-01“…Methods: Using data from the All of Us research program, we examined the prevalence and clinical characteristics of FH variant carriers in a diverse U.S. population. …”
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N-NOSE Proves Effective for Early Cancer Detection: Real-World Data from Third-Party Medical Institutions
Published 2024-11-01“…Cancer remains a leading cause of mortality in Japan, yet participation in conventional screening programs is low due to invasiveness, cost, and accessibility. …”
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DETECTION AND SYSTEMATIZATION OF SIGNS AND MARKERS OF MODIFICATIONS IN MEDIA CONTENT FOR THE DEVELOPMENT OF A METHODOLOGY TO ENHANCING CRITICAL THINKING IN THE ERA OF DEEPFAKES
Published 2024-02-01“…The paper focuses on creating a comprehensive framework for detecting manipulated content and identifying indicators such as pixelization, unnatural expressions, etc. …”
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Well done! Or how to Avoid Dangers of Pseudoscience: Common Standard for Research in Behavioural Analysis and Deception Detection in Aviation Security
Published 2025-02-01“…It highlights several factors that are important to consider before conducting research on behaviour detection. Furthermore, this paper aims to empower experts in the field of aviation security to recognize valid and reliable solutions (e.g., programs, methods, tools) and discusses the relevance as well as the challenges of conducting applied research in the field of aviation security.…”
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Managing population health through prevention and early detection of cancer and other non-communicable diseases: a call for action
Published 2025-04-01“…A policy framework that includes: cancer registries; usage of information for planning and evaluating screening and early detection programs; and alternative models for promoting community health, integrated care and illness management; and control of non-communicable diseases. …”
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Performance and limitations of linkage-disequilibrium-based methods for inferring the genomic landscape of recombination and detecting hotspots: a simulation study
Published 2023-03-01“…Here, we evaluate the ability of one of the most widely used coalescent-based programs, LDhelmet, to infer a genomic landscape of recombination with the biological characteristics of a human-like landscape including hotspots. …”
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A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines
Published 2025-03-01“…This research proposes deploying an Intrusion Detection System (IDS) at the Hypervisor layer, utilizing time series system call data and employing a Convolutional Neural Network (CNN) model to accurately detect the presence of malicious (malware) computer programs within virtual machines. …”
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Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills
Published 2025-06-01“…The results showed that digital competency have significant direct effects on the fraud detection skills, with diagnostic skills playing a key role in the process. …”
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A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring
Published 2025-04-01“…Landsat data have allowed the detection of multi-decadal trends in erosion since 1972, and Sentinel-2 has provided enhanced spatial and temporal resolutions since 2015. …”
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A Pilot Study on Mixed-Reality Approaches for Detecting Upper-Limb Dysfunction in Multiple Sclerosis: Insights on Cerebellar Tremor
Published 2025-01-01“…While the HoloLens2 shows promise in detecting motor impairments, further refinement is required to improve sensitivity for those without overt cerebellar symptoms. …”
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Comparing sampling methods to monitor population abundance while accounting for imperfect detection: An application of N-mixture models on Orthoptera
Published 2025-04-01“…N-mixture models were performed on the 14 most abundant species detected with both sampling methods. While detection probability was similar between the two sampling methods, the precision of detection estimates was markedly higher when using sweep netting. …”
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Метод оценки частоты выполнения фрагментов кода последовательной программы
Published 2010-06-01“…The goal of this article is to consider the task of determining the execution frequency of program basic blocks. This task is important for such applications as program optimization, paralleling program execution, computing resources allocation, program compaction, and malicious software detection. …”
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Comparison of fragment analysis and PCR electrophoresis methods for the detection of FLT3‑ITD mutations in patients with acute myeloid leukemia
Published 2022-11-01“…Thus, for detection of the FLT3-ITD we recommend using the fragment analysis method.…”
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Detection of potential complications in cancer survivors after chemotherapy and development of a regional care network: the PASCA feasibility study
Published 2025-03-01“…The PASCA “Parcours de Santé au cours du Cancer [in English: healthcare pathways with cancer]” feasibility study was conducted in the Léon Bérard Comprehensive Cancer Center (Lyon, France) to assess the feasibility of a complications detection program, in cancer survivors who have received intensive chemotherapy. …”
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