This paper treats a nonlinear dynamical system with both continuous-time and discrete-time variables as a differential–difference–algebraic equation (DDA) or a hybrid dynamical system, presents a fundamental analyzing method of such a DDA system for local sampling, asymptotical stability, singular perturbations and bifurcations, and further shows that there exist four types of generic codimensi...

A number of metabolites produced during abdominal ischemia can stimulate and/or sensitize visceral afferents. The precise mechanisms whereby these metabolites act are uncertain. Other studies have shown that the adenylate cyclase-cAMP system may be involved in the activation of sensory neurons. Therefore, we hypothesized that cAMP contributes to the activation of ischemically sensitive abdomina...

The discrete-dipole approximation (DDA) is a powerful method for calculating absorption and scattering by targets that have sizes smaller than or comparable with the wavelength of the incident radiation. We present a new prescription-the surface-corrected-lattice-dispersion relation (SCLDR)--for assigning the dipole polarizabilities while taking into account both target geometry and finite wave...

This paper sketches the design and implementation of DeviceDriver Analyzer for x86 (DDA/x86), a prototype analysis tool for finding bugs in stripped Windows device-driver executables (i.e., when neither source code nor symbol-table/debugging information is available), and presents a case study. DDA/x86 was able to find known bugs (previously discovered by source-code-based analysis tools) along...

Deep neural networks (DNNs) can learn accurately from large quantities of labeled input data but often fail to do so when are scarce. DNNs sometimes generalize on test sampled different distributions. Unsupervised deep domain adaptation (DDA) techniques have been proven useful no labels available and distribution shifts observed in the target (TD). In this study, experiments performed seismic i...

In recent decades, hybridization of superior attributes few algorithms was proposed to aid in covering more areas complex application as well improves performance. Condition monitoring is a major component predictive maintenance which monitors the condition and identifies significant changes machinery parameter perform early detection prevent equipment defects that could cause unplanned downtim...

This report introduces DIA-MOLE, a tool that supports an engineering-oriented approach towards dialogue modelling for a spoken-language interface. Our approach is applied to the domain of appointment scheduling. A major step towards dialogue models is to know about the basic units that are used to construct a dialogue model. DIA-MOLE does not employ theory-based dialogue units because they are ...

The long-term control of tuberculosis (TB) will require the development of more effective anti-TB vaccines, as the only licensed vaccine, Mycobacterium bovis bacille Calmette-Guérin (BCG), has limited protective efficacy against infectious pulmonary TB. Subunit vaccines have an improved safety profile over live, attenuated vaccines, such as BCG, and may be used in immuno-compromised individuals...

The ultimate aim of proteomics is to fully identify and quantify the entire complement of proteins and post-translational modifications in biological samples of interest. For the last 15 years, liquid chromatography-tandem mass spectrometry (LC-MS/MS) in data-dependent acquisition (DDA) mode has been the standard for proteomics when sampling breadth and discovery were the main objectives; multi...