Assessor Differences and User Preferences in Tweet Timeline Generation

In information retrieval evaluation, when presented with an effectiveness difference between two systems, there are three relevant questions one might ask. First, are the differences statistically significant? Second, is the comparison stable with respect to assessor differences? Finally, is the differ-ence actually meaningful to a user? This paper tackles the last two questions about assessor differences and user prefer-ences in the context of the newly-introduced tweet timeline generation task in the TREC 2014 Microblog track, where the system’s goal is to construct an informative summary of non-redundant tweets that addresses the user’s informa-tion need. Central to the evaluation methodology is human-generated semantic clusters of tweets that contain substan-tively similar information. We show that the evaluation is stable with respect to assessor differences in clustering and that user preferences generally correlate with effectiveness metrics even though users are not explicitly aware of the semantic clustering being performed by the systems. Al-though our analyses are limited to this particular task, we believe that lessons learned could generalize to other eval-uations based on establishing semantic equivalence between information units, such as nugget-based evaluations in ques-tion answering and temporal summarization

Nitric oxide production and monoamine oxidase activity in cancer patients during interferon-α therapy

Both increased and decreased nitric oxide (NO) synthesis have been reported in patients treated with interferon-α (IFN-α). Animal studies showed that IFN-α administration results in increased levels of biogenic amines, subsequent activation of monoamine oxidases (MAOs), and finally in a change in NO production due to the H2O2 generated by MAOs. We examined the potential relationship between NO production in plasma and MAO-B activity in platelets of 43 cancer patients during 8 weeks of treatment with IFN-α. NO synthesis was quantitated by measuring both the ratio of citrulline and arginine (CIT/ARG-ratio) and total nitrite/nitrate (NOx) levels. Compared to baseline, MAO activity and NOx increased, while the CIT/ARG-ratio decreased. No associations were found between NOx, MAO and CIT/ARG-ratio. Only few associations were observed between changes in the biochemical parameters and changes in psychopathology induced by IFN-α, of which the association between changes in CIT and lassitude was the most consistent. The results suggest that peripheral NO production and MAO activity are unrelated to each other, and that peripheral changes in these biochemical parameters induced by IFN-α are unlikely to contribute to definite psychiatric disturbance

Effect of SIMPESA Career Application on Student Self-Efficacy in Selecting majors

This research aims to examine the effect of the use of Android-based career application on the self-efficacy of students in the selection of majors in high school. This research is a pre-experiment research on high school students in Makassar city, South Sulawesi. This research begins with development research and has been produced in previous research an Android-based career application named SIMPESA (high school student interest) that has been tested the validity and acceptance by psychologists and ICT experts and counseling counselor (counselor) to assist students in choosing majors in senior high school. The population in this research was all students of State Senior High School 5 Makassar-South Sulawesi class X. The sampling technique was using proportional random sampling involving 30 students of class X. The research design used is the use of pre-experimental design. The research instrument was using career decision making self-efficacy scale and focus group discussion. While the data analysis technique used t test. The results showed that there was a significant increase in pre-test and post-test averages in the trial group, where the post-test average score was higher than the pre-test average score. The conclusion of this research is SIMPESA android based career application have positive influence to self-efficacy students in selecting majors in senior high school

Rebound Discharge in Deep Cerebellar Nuclear Neurons In Vitro

Neurons of the deep cerebellar nuclei (DCN) play a critical role in defining the output of cerebellum in the course of encoding Purkinje cell inhibitory inputs. The earliest work performed with in vitro preparations established that DCN cells have the capacity to translate membrane hyperpolarizations into a rebound increase in firing frequency. The primary means of distinguishing between DCN neurons has been according to cell size and transmitter phenotype, but in some cases, differences in the firing properties of DCN cells maintained in vitro have been reported. In particular, it was shown that large diameter cells in the rat DCN exhibit two phenotypes of rebound discharge in vitro that may eventually help define their functional roles in cerebellar output. A transient burst and weak burst phenotype can be distinguished based on the frequency and pattern of rebound discharge immediately following a hyperpolarizing stimulus. Work to date indicates that the difference in excitability arises from at least the degree of activation of T-type Ca2+ current during the immediate phase of rebound firing and Ca2+-dependent K+ channels that underlie afterhyperpolarizations. Both phenotypes can be detected following stimulation of Purkinje cell inhibitory inputs under conditions that preserve resting membrane potential and natural ionic gradients. In this paper, we review the evidence supporting the existence of different rebound phenotypes in DCN cells and the ion channel expression patterns that underlie their generation

Nitric oxide triggers a transient metabolic reprogramming in Arabidopsis

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