1,725,677 research outputs found
BNN United
Professor. B. Nauta was interviewed by BNN radio on 22 December 2000. It was in the program called "BNN United" and they talked about: "less students are choosing for a career on the university
Pengaruh Motivational Interviewing terhadap Tahap Perubahan Perilaku Klien Rehabilitasi Narkoba di Loka Rehabilitasi BNN Batam
Background: Drug abuse causes physical and psychological problems that cause various changes in the abuser with changes in maladaptive behavior. The National Narcotics Board shows that narcotics abuse in Indonesia is the largest in the Asian level because it uses 65 types of narcotics. In the preliminary study, it was found that there were 55 inpatients at the Batam BNN Rehabilitation Center. This study aims to determine the behavior stages of change before and after the application of Motivational Interviewing (MI) and to analyze its effect on drug rehabilitation clients. Methods: The research method is a quasi-experimental design with a one group pretest - posttest design approach without a control group. The sample consisted of 25 experimental group respondents who underwent inpatient rehabilitation at the Batam Rehabilitation Center of National Narcotics Board in 2022 with a sampling technique that was purposive sampling and the data was processed using the Wilcoxon test. Results: Univariate analysis of the results of the examination after being given MI showed 100% in the action stage. Bivariate results show that there is an effect of MI on the behavior stages of change with the difference in the mean before and after MI is 2.13 and P-Value 0.000 (<0.05).Conclusion: It was concluded that there was an effect of MI on increasing the behavior stages of change in drug rehabilitation clients. It is recommended for nurses to apply the MI method in carrying out their role as counselors to increase the stage of changing the client's adaptive behaviorKeywords: Motivational Interviewing, Behaviour, Narcotic
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
In this paper, we introduce BNN-DP, an efficient algorithmic framework for analysis of adversarial robustness of Bayesian Neural Networks (BNNs). Given a compact set of input points T ⊂ Rn, BNN-DP computes lower and upper bounds on the BNN's predictions for all the points in T. The framework is based on an interpretation of BNNs as stochastic dynamical systems, which enables the use of Dynamic Programming (DP) algorithms to bound the prediction range along the layers of the network. Specifically, the method uses bound propagation techniques and convex relaxations to derive a backward recursion procedure to over-approximate the prediction range of the BNN with piecewise affine functions. The algorithm is general and can handle both regression and classification tasks. On a set of experiments on various regression and classification tasks and BNN architectures, we show that BNN-DP outperforms state-of-the-art methods by up to four orders of magnitude in both tightness of the bounds and computational efficiency.Team Luca Laurent
Enhancement of endogenous midbrain neurogenesis by microneurotrophin BNN-20 after neural progenitor grafting in a mouse model of nigral degeneration
We have previously shown the neuroprotective and pro-neurogenic activity of microneurotrophin BNN-20 in the substantia nigra of the “weaver” mouse, a model of progressive nigrostriatal degeneration. Here, we extended our investigation in two clinically-relevant ways. First, we assessed the effects of BNN-20 on human induced pluripotent stem cell-derived neural progenitor cells and neurons derived from healthy and parkinsonian donors. Second, we assessed if BNN-20 can boost the outcome of mouse neural progenitor cell intranigral transplantations in weaver mice, at late stages of degeneration. We found that BNN-20 has limited direct effects on cultured human induced pluripotent stem cell-derived neural progenitor cells, marginally enhancing their differentiation towards neurons and partially reversing the pathological phenotype of dopaminergic neurons generated from parkinsonian donors. In agreement, we found no effects of BNN-20 on the mouse neural progenitor cells grafted in the substantia nigra of weaver mice. However, the graft strongly induced an endogenous neurogenic response throughout the midbrain, which was significantly enhanced by the administration of microneurotrophin BNN-20. Our results provide straightforward evidence of the existence of an endogenous midbrain neurogenic system that can be specifically strengthened by BNN-20. Interestingly, the lack of major similar activity on cultured human induced pluripotent stem cell-derived neural progenitors and their progeny reveals the in vivo specificity of the aforementioned pro-neurogenic effect
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