Growing evidence indicates that the affinity of monoclonal antibodies (mAbs) for CD16 (FcgammaRIII) plays a central role in the ability of the mAb to mediate antitumor activity. We evaluated how CD16 polymorphisms, and mAb with modified affinity for target antigen and CD16, affect natural killer (NK) cell phenotype when CD20(+) malignant B cells were also present. The mAb consisted of rituximab...

The nutritional value of raw and autoclaved grain amaranth, its milling fractions (perisperm and bran), fat-free flour, and of popped amaranth was evaluated for growing chickens. The control diet, which was composed primarily of corn and soybean meal, contained 3.06 kcal apparent ME (AME)/g and 23.6% CP. Test diets contained about the same AME and CP levels, and the following levels of the test...

The measurement of formant frequencies of vowels is among the most common measurements in speech studies, but measurements are known to be biased by the particular fundamental frequency (F0) exciting the formants. Approaches to reducing the errors were assessed in two experiments. In the first, synthetic vowels were constructed with five different first formant (F1) values and nine different F0...

The in uence of fuel chemical composition on  ame structure and sooting trends in a swirling spray  ame was investigated semiquantitatively using a light-scattering/dissymmetry ratio technique. Binary mixtures of toluene and methanol were examined under Ž xed aerodynamic and burner inlet  ow conditions to show the effect of liquid composition. The sprays were generated using an air-assist a...

Abstract Adversarial Malware Example (AME)-based adversarial training can effectively enhance the robustness of Machine Learning (ML)-based malware detectors against AME. AME quality is a key factor to enhancement. Generative Network (GAN) kind generation method, but existing GAN-based methods have issues inadequate optimization, mode collapse and instability. In this paper, we propose novel ap...

This paper presents the application and validation of a UML metamodel developed for the requirements modeling in multi-agent systems projects. In this paper we describe the metamodel and its application into the modeling of an intelligent tutor system called AME-A. We also demonstrate the way we intend to validate this metamodel. Keywords-Metamodels; Stereotypes; Agents; Agent Roles; AgentRole_...

Since performance of conventional linear prediction (LP) deteriorates in formant estimation of high-pitched voices, several all-pole modeling methods robust to F0 have been developed. This study compares five such previously known methods and proposes a new technique, Weighted Linear Prediction with Attenuated Main Excitation (WLP-AME). WLP-AME utilizes weighted linear prediction in which the s...

BACKGROUND: Adenomyoepithelioma (AME) of the breast is a biphasic very uncommon tumour with epithelial/ my-oepithelial components. It can be easily recognised in an excised lesion, but it is more difficult to make a definitive diagnosis with needle biopsy. CASE REPORT: We report the case of a 42-year-old woman who presented with a mass in her right breast. The patient underwent a fine needle as...

BACKGROUND Hyperresponsiveness to inhaled non-infectious microbial particles (NIMPs) has been associated with illnesses in the airways. Hypersensitivity pneumonitis (HP) is considered to be the prototype for these NIMPs-related diseases; however, there is no consensus on the definitions or diagnostic criteria for HP and the spectrum of related illnesses. METHODS AND FINDINGS In order to ident...

Many Task Computing, an emerging programming paradigm on supercomputers, embraces many applications in such domains as biology, economics, and statistics, as well as data intensive computations and uncertainty quantification. Its high inter-task parallelism and intense data processing features place new challenges on the existing hardware-software stack on supercomputers. Those new challenges i...