Results 51 to 60 of about 397,696 (287)

Machine learning and data-driven methods for steel constitutive modeling: a state-of-the-art review and validation

open access: yesDiscover Civil Engineering
In this work we develop and validate neural-network (NN) constitutive models for structural steels under monotonic and cyclic loading, using internal-variable inputs to encode path dependence. For monotonic tension at $$200-800^{\circ }C$$ (Kirby-Preston
Stefanos Voulgaris   +8 more
doaj   +1 more source

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

open access: yesFEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel   +13 more
wiley   +1 more source

Deriving Test Suites with the Guaranteed Fault Coverage for Extended Finite State Machines

open access: yesМоделирование и анализ информационных систем, 2016
Extended Finite State Machines (EFSMs) are widely used when deriving tests for checking functional requirements for software implementations. However, the fault coverage of tests covering appropriate paths, variables, etc.
A. D. Ermakov, N. V. Yevtushenko
doaj   +1 more source

Miki: a wiki for synchronous modeling of software requirements [PDF]

open access: yes, 2011
Eliciting a high quality requirements model that can be traced down to implementations is a challenge. Keeping models updated for evolving software systems is a further challenge.
Petre, Marian   +2 more
core  

Aggressive prostate cancer is associated with pericyte dysfunction

open access: yesMolecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero   +11 more
wiley   +1 more source

Exploring Cortex-M Microarchitectural Side Channel Information Leakage

open access: yesIEEE Access, 2021
The growing Internet of Things (IoT) market demands side-channel attack resistant, efficient, cryptographic implementations. Such implementations, however, are microarchitecture-specific, and cannot be implemented without an in-depth structural knowledge
Alessandro Barenghi   +3 more
doaj   +1 more source

Dynamic Information Flow Tracking on Multicores [PDF]

open access: yes, 2008
Dynamic Information Flow Tracking (DIFT) is a promising technique for detecting software attacks. Due to the computationally intensive nature of the technique, prior efficient implementations [21, 6] rely on specialized hardware support whose only ...
Gupta, Rajiv   +3 more
core   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

open access: yesMolecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck   +12 more
wiley   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

open access: yesMolecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto   +8 more
wiley   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

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