Sequential Movie Genre Prediction Using Average Transition Probability with Clustering

In recent movie recommendations, one of the most important issues is to predict the user’s sequential behavior to be able to suggest the next movie to watch. However, capturing such sequential behavior is not easy because each user’s short-term or long-term behavior must be taken into account. For this reason, many research results show that the performance of recommending a specific movie is not good in a sequential recommendation. In this paper, we propose a cluster-based method for classifying users with similar movie purchase patterns and a movie genre prediction algorithm rather than the movie itself considering their short-term and long-term behaviors. The movie genre prediction does not recommend a specific movie, but it predicts the genre for the next movie to watch in consideration of each user’s preference for the movie genre based on the genre included in the movie. Using this, it will be possible to provide appropriate guidelines for recommending movies including the genres to users who tend to prefer a specific genre. In particular, in this study, users with similar genre preferences are organized into clusters to recommend genres. For clusters that do not have relatively specific tendencies, genre prediction is performed by appropriately trimming genres that are not necessary for recommendation in order to improve performance. We evaluate our method on well-known movie data sets and qualitatively determine that it captures personalized dynamics and is able to make meaningful recommendations.

Abstract 284: Looking Back to Glance Ahead: The Impact of Last Minute's Qrs Width & Frequency in Pulseless Electrical Activity

Background: Observed heart rate and QRS-width during CPR in Pulseless Electrical Activity (PEA) develop differently in patients who gain ROSC compared to those who do not. In this study we investigated the impact of heart rate and QRS width on the transition from PEA to ROSC. Method: Defibrillator data from 293 episodes of cardiac arrest at two US and one Norwegian hospital were reviewed. The files contained ECG, impedance signal and compression depth. In total 178 episodes containing PEA intervals were included. Episodes with excessive ECG noise and signs of an active pacemaker were excluded. The files were processed in a MATLAB graphical application, and the clinical states were determined based on clinical documentation and the visual appearance of the ECG. ROSC was defined as an organized rhythm lasting longer than 1 minute without ongoing compressions. During pauses in compressions, heart rate and QRS-width was automatically measured and averaged over the preceding minute until current time and controlled and corrected manually. The results were analyzed using Aalen’s additive model for time-to-event data, using R version 3.6.3. Results: The average transition intensity, corresponding to the probability of gaining ROSC in one minute, was about 0.20 per min of CPR peaking at approximately 7 min. An increase in the average heart rate by 10/min increased the transition intensity by 0.03/min (p <0.01). Narrowing of the QRS in average by 100 milliseconds (ms) increased the transition intensity by 0.14/min (p <0.01). Our figure shows QRS width and heart rate for one patient with PEA approaching ROSC (gray area), with smoothed curves overlaid. Conclusion: Higher heart rates and narrower QRS complexes during PEA are strongly and significantly associated with a transition from PEA to ROSC. These changes could indicate whether a patient responds to ongoing CPR. In addition, there is a potential for predicting the immediate outcome based on these ECG characteristics.

Are You a Rabbit or a Turtle? A Comparative Analysis of the Pacing Profiles of the Turkish Origin and Non-Turkish Origin Elite Half-Marathon Athletes

The aim of this research was to designate and compare the pacing profiles of the Turkish and Non-Turkish female and male athletes completed and ranked in the first tenth (n = 79) in the determined half-marathon road races held in Turkey. The pacings of the athletes were divided into 5 separate segments (0-5, 5-10, 10-15, 15-21.1 km) and calculated on the basis of their average transition speed (min:sec/km). The differences both between the pacing profiles of the Turkish and Non-Turkish athlete groups and between the successive segments within the groups were examined separately for women and men with the variance analysis for mixed patterns. According to the results, there was no statistical differences between the pacing profiles of both female and male Turkish and Non-Turkish athletes (p > 0.05). In addition, there was also no difference between the successive segments within the groups (p > 0.05). According to these results, it can be said that the pacing profiles of the Turkish and Non-Turkish elite athletes were similar and close to even pacing profile without a last sprint. Although it was not statistically significant, all the athletes had small decreases in their pacings in the first 15 km of the race. In the last 6.1 km segment, while small increases in the pacings of the Non-Turkish female athletes were observed, the pacings of the Turkish women athletes were more even with small decreases. Considering the whole race, it was seen that the athletes showed pacing profiles close to positive and reverse J-shaped pacing profile.

On the Spatial Evolution of Traffic State Transitions: Empirical Observations and General Features

Features of transitions between stationary traffic states for both congestion onset and dissipation were evaluated through empirical observations at two freeway sites. Results reveal that transition durations vary significantly between sites and that they can be rather long, with observed average transition durations of 42–45 min in one site. It was also observed that transition durations remain relatively constant within a queue, while transition rates vary as the transition zone travels upstream of the bottleneck. In addition, results also suggest that complex site geometry, particularly the presence of multiple lane reductions, has an effect on the spatial evolution of transition rates, while single merging and diverging maneuvers do not seem to affect the mechanism of transitions. Finally, it was observed that the presence of non-stationary traffic periods could have a considerable effect on the estimation of key traffic variables in locations where long transition durations are observed.

Cascade calculation with schematic interactions

In previous works we considered schematic Hamiltonians represented by simplified matrices. We defined two transition operators and calculated transition strengths from the ground state to all excited states. In many cases the strengths decreased nearly exponentially with the excitation energy. Now we do the reverse. We start with the highest energy state and calculate the cascade of transitions until the ground state is reached. On a log plot we show the average transition strength as a function of the number of energy intervals that were crossed. We give an analytic proof of exponential behavior for transition strength in the weak coupling limit for the [Formula: see text] transition operator.

LION/web: a web-based ontology enrichment tool for lipidomic data analysis

SUMMARYA major challenge for lipidomic analyses is the handling of the large amounts of data and the translation of results to interpret the involvement of lipids in biological systems. We built a new lipid ontology (LION) that associates over 50,000 lipid species to biophysical, chemical and cell biological features. By making use of enrichment algorithms, we used LION to develop a web-based interface (LION/web, www.lipidontology.com) that allows identification of lipid-associated terms in lipidomes. LION/web was validated by analyzing a lipidomic dataset derived from well-characterized sub-cellular fractions of RAW 264.7 macrophages. Comparison of isolated plasma membranes with the microsomal fraction showed a significant enrichment of relevant LION-terms including ‘plasma membrane’, ‘headgroup with negative charge, ‘glycerophosphoserines’, ‘above average bilayer thickness’, and ‘below average lateral diffusion’. A second validation was performed by analyzing the membrane fluidity of CHO cells incubated with arachidonic acid. An increase in membrane fluidity was observed both experimentally by using pyrene decanoic acid and by using LION/web, showing significant enrichment of terms associated with high membrane fluidity ('above average’, 'very high’ and 'high lateral diffusion’, and 'below average transition temperature’). The results demonstrate the functionality of LION/web, which is freely accessible in a platform-independent way.