Although the production of B cell stimulatory factors by cell lines and hybridomas is well established, production of specific lymphokines by normal T cells in response to antigen stimulation has not been analyzed. We have used bioassays and neutralizing mAbs to demonstrate that IL-2, IL-4, and B cell growth factors (BCGF) are produced during primary and secondary MLRs. IL-2 is detected in the ...

This chapter summarizes experiments which were designed to reveal how repetitive electrical stimulation of the mesencephalic locomotor region (MLR) recruits nearby hindbrain neurons into activity, such that locomotion can ensue in the tiger salamander, A. tigrinum. The MLR stimulus strength was subthreshold or near-threshold for locomotor movements to ensue. Such relatively weak stimulation of ...

Twenty-six unexplained secondary recurrent aborters underwent vaccinations by using their husband's mononuclear leukocytes according to the protocol adopted for primary recurrent aborters (group I). No mixed lymphocyte culture reaction-blocking antibodies (MLR-BAbs) detected by one-way MLR between spouses were observed in these patients prior to vaccination. In all 26 patients, MLR-BAbs appeare...

Effects of anti-IL2 receptor antibody (anti-IL2 RAb) and cyclosporin A (CsA) on human T cell proliferation in primary mixed lymphocyte reaction (MLR) were investigated. Both agents inhibited the proliferative response induced by alloantigen in a dose dependent manner when they were added at the initiation of culture. We also analyzed the expression of activation antigen on responder cells and t...

Quantitative structure-activity relationship (QSAR) models were employed for prediction the activity of P2X7 receptor antagonists. A data set consisted of 50 purine derivatives was utilized in the model construction where 40 and 10 of these compounds were in the training and test sets respectively. A suitable group of calculated molecular descriptors was selected by employing stepwise multiple ...

As VOCs pose a threat to human health, it is important accurately capture changes in concentrations and sense relevant areas. Therefore, necessary improve the accuracy of concentration prediction realise aggregation situation sensing. Firstly, on basis regional grid division, inverse distance spatial interpolation method used for collect data information. Secondly, extreme gradient boosting (XG...

Oscillatory rhythms in local field potentials (LFPs) are thought to coherently bind cooperating neuronal ensembles to produce behaviors, including locomotion. LFPs recorded from sites that trigger locomotion have been used as a basis for identification of appropriate targets for deep brain stimulation (DBS) to enhance locomotor recovery in patients with gait disorders. Theta band activity (6-12...

In this study, quantitative structure activity relationship (QSAR) models for the antioxidant activity of polysaccharides were developed with 50% effective concentration (EC50) as the dependent variable. To establish optimum QSAR models, multiple linear regressions (MLR), support vector machines (SVM) and artificial neural networks (ANN) were used, and 11 molecular descriptors were selected. Th...

The present work describes a comparison of the ability of multiple linear regression (MLR) and artificial neural networks (ANN) to predict fish spatial occupancy and abundance in a mesotrophic reservoir. Models were run and tested with 306 observations obtained by the sampling point abundance method using electrofishing. For each of the 306 samples, the relationships between physical parameters...