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A practical approach for finding anti-debugging routines in the Arm-Linux using hardware tracing.
Sci Rep
June 2024
Department of Computer Science, Hanyang University, Wangshimriro 222, Seongdonggu, Seoul, 0476, South Korea.
As IoT devices are being widely used, malicious code is increasingly appearing in Linux environments. Sophisticated Linux malware employs various evasive techniques to deter analysis. The embedded trace microcell (ETM) supported by modern Arm CPUs is a suitable hardware tracer for analyzing evasive malware because it is almost artifact-free and has negligible overhead.
View Article and Find Full Text PDFOnline randomized controlled experiments at scale: lessons and extensions to medicine.
Trials
February 2020
Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Medical School Office Building, Room X306, 1265 Welch Rd, Stanford, CA, 94305, USA.
Article Synopsis
- Many major tech companies like Google, Amazon, and Netflix conduct large-scale A/B testing, where they run numerous experiments on millions of users to inform data-driven decisions, making such testing cost-effective compared to traditional medical RCTs.
- Key lessons from this technology-based approach include the importance of metrics for evaluation, rapid release cycles to facilitate safe experimentation, and a culture of testing everything, which leads to significant innovations and financial benefits.
- The principles of these tech experiments can be adapted to healthcare, as increasing digital interactions with patients can utilize similar methodologies to enhance user experiences and outcomes in that sector.
Debugging: Is Routine Antimicrobial Prophylaxis Indicated in Medical Thoracoscopy?
Respiration
August 2017
Division of Pulmonology, Department of Medicine, Stellenbosch University and Tygerberg Academic Hospital, Cape Town, South Africa.
A toolchain for the automatic generation of computer codes for correlated wavefunction calculations.
J Comput Chem
June 2017
Max-Planck-Institut für Chemische Energiekonversion, Department of Molecular Theory and Spectroscopy, Stiftstr. 34-36, Mülheim a.d. Ruhr, 45470, Germany.
In this work, the automated generator environment for ORCA (ORCA-AGE) is described. It is a powerful toolchain for the automatic implementation of wavefunction-based quantum chemical methods. ORCA-AGE consists of three main modules: (1) generation of "raw" equations from a second quantized Ansatz for the wavefunction, (2) factorization and optimization of equations, and (3) generation of actual computer code.
View Article and Find Full Text PDFGRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging.
Int J Comput Assist Radiol Surg
March 2017
Departments of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.
Purpose: We present a platform, GRAphical Pipeline Environment (GRAPE), to facilitate the development of patient-adaptive magnetic resonance imaging (MRI) protocols.
Methods: GRAPE is an open-source project implemented in the Qt C++ framework to enable graphical creation, execution, and debugging of real-time image analysis algorithms integrated with the MRI scanner. The platform provides the tools and infrastructure to design new algorithms, and build and execute an array of image analysis routines, and provides a mechanism to include existing analysis libraries, all within a graphical environment.
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