Results 91 to 100 of about 1,375,201 (314)

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

Credit card fraud and detection techniques: a review [PDF]

open access: yes, 2009
Fraud is one of the major ethical issues in the credit card industry. The main aims are, firstly, to identify the different types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection.
Abdou, Hussein   +8 more
core  

A methodology for the generation of efficient error detection mechanisms [PDF]

open access: yes, 2011
A dependable software system must contain error detection mechanisms and error recovery mechanisms. Software components for the detection of errors are typically designed based on a system specification or the experience of software engineers, with their
Anand, Sarabjot Singh   +7 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

open access: yesFEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace   +6 more
wiley   +1 more source

Intrusion detection techniques in wireless local area networks

open access: yes, 2009
This research investigates wireless intrusion detection techniques for detecting attacks on IEEE 802.11i Robust Secure Networks (RSNs). Despite using a variety of comprehensive preventative security measures, the RSNs remain vulnerable to a number of ...
Gill, Rupinder S.
core  

Emerging Technologies for the Detection of Rabies Virus: Challenges and Hopes in the 21st Century [PDF]

open access: yes, 2009
The diagnosis of rabies is routinely based on clinical and epidemiological information, especially when exposures are reported in rabies-endemic countries.
Müller, Thomas   +34 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Unsupervised clustering approach for network anomaly detection

open access: yes, 2012
This paper describes the advantages of using the anomaly detection approach over the misuse detection technique in detecting unknown network intrusions or attacks.
Syarif, Iwan   +2 more
core  

Comparing anomaly detection methods in computer networks

open access: yes, 2010
This work in progress outlines a comparison of anomaly detection methods that we are undertaking. We are comparing different types of anomaly detection methods with the purpose of achieving results covering a broad spectrum of anomalies.
Löf, Andreas   +3 more
core   +1 more source

Automatic identification of non-biting midges (Chironomidae) using object detection and deep learning techniques

open access: yes, 2022
This paper introduces an automated method for the identification of chironomid larvae mounted on microscope slides in the form of a computer-based identification tool using deep learning techniques.
Vega, Rodrigo   +2 more
core   +1 more source

Home - About - Disclaimer - Privacy