Global Competency Through Collaborative Online International Learning (COIL)

[EN] There is a need for college students to develop global perspectives and gain cultural awareness to become responsible global citizens. Innovative ways to create such experiences are known as Collaborative Online International Learning (COIL experiences). COIL is a voluntary partnership between professors in different countries collaborating on jointly-constructed learning experiences to enhance international and intercultural understanding. The purpose of this article is to highlight a successful COIL partnership between students from SUNY Oswego in New York and The Hague University of Applied Sciences in the Netherlands during the COVID-19 pandemic. 35 students participated in the experience that served as a platform to educate students through a health educator’s unique cultural lens. Benefits from the experiences regarding global outcomes showed that both US students (n=70.6%) and Holland students (n=61.1%) felt that they gained the appropriate skills and knowledge to use in their future careers. 70.6% of US and 61.2% of Holland students reported that the COIL experience introduced them to a new outlook and new ways of thinking about how they relate to the world. The current COVID-19 pandemic has created an opportunity to rethink education pathways and integrate global learning in our classrooms.Harris, J.; Seo, M.; Mckeown, J. (2021). Global Competency Through Collaborative Online International Learning (COIL). En 7th International Conference on Higher Education Advances (HEAd'21). Editorial Universitat Politècnica de València. 1351-1358. https://doi.org/10.4995/HEAd21.2021.130801351135

Ernest Bloch's musical style from 1910 To 1929 a shift from Judaic identity to modern identity

The purpose of this paper is to describe the change in Ernest Bloch's musical style between 1910 and 1929. His Jewish heritage was a great source of inspiration for his compositions throughout his lifetime, many of which include elements of Jewish melodies and rhythms and use Biblical and descriptive titles. This is especially true of the large orchestral works of the 1910s written when he was still living in Switzerland. After Bloch came to the United Sates in 1916, his musical style gradually began to change. During the 1920s his role in the classical music field motivated him to accept and apply modern techniques and ambiguous tonalities to his abstractly titled compositions. As a professor and a leader in various music schools, including the David Mannes School, Cleveland Institute of Music, and the San Francisco Conservatory, he composed smaller ensemble works rather than large orchestral works in order for his music to be accessible to students. The paper examines the general stylistic traits of Bloch in this period and discusses, through an analysis of melodic and rhythmic motives and an outline of his application of modern techniques, how his style changed most in his compositions. In conclusion, it suggests possible reasons for this stylistic change

BallGAN: 3D-aware Image Synthesis with a Spherical Background

3D-aware GANs aim to synthesize realistic 3D scenes such that they can be rendered in arbitrary perspectives to produce images. Although previous methods produce realistic images, they suffer from unstable training or degenerate solutions where the 3D geometry is unnatural. We hypothesize that the 3D geometry is underdetermined due to the insufficient constraint, i.e., being classified as real image to the discriminator is not enough. To solve this problem, we propose to approximate the background as a spherical surface and represent a scene as a union of the foreground placed in the sphere and the thin spherical background. It reduces the degree of freedom in the background field. Accordingly, we modify the volume rendering equation and incorporate dedicated constraints to design a novel 3D-aware GAN framework named BallGAN. BallGAN has multiple advantages as follows. 1) It produces more reasonable 3D geometry; the images of a scene across different viewpoints have better photometric consistency and fidelity than the state-of-the-art methods. 2) The training becomes much more stable. 3) The foreground can be separately rendered on top of different arbitrary backgrounds.Comment: Project Page: https://minjung-s.github.io/ballga

Active Compound of Pharbitis Semen (Pharbitis nil Seeds) Suppressed KRAS-Driven Colorectal Cancer and Restored Muscle Cell Function during Cancer Progression.

Kirsten rat sarcoma viral oncogene homolog (KRAS)-driven colorectal cancer (CRC) is notorious to target with drugs and has shown ineffective treatment response. The seeds of Pharbitis nil, also known as morning glory, have been used as traditional medicine in East Asia. We focused on whether Pharbitis nil seeds have a suppressive effect on mutated KRAS-driven CRC as well as reserving muscle cell functions during CRC progression. Seeds of Pharbitis nil (Pharbitis semen) were separated by chromatography and the active compound of Pharbitis semen (PN) was purified by HPLC. The compound PN efficiently suppressed the proliferation of mutated KRAS-driven CRC cells and their clonogenic potentials in a concentration-dependent manner. It also induced apoptosis of SW480 human colon cancer cells and cell cycle arrest at the G2/M phase. The CRC related pathways, including RAS/ERK and AKT/mTOR, were assessed and PN reduced the phosphorylation of AKT and mTOR. Furthermore, PN preserved muscle cell proliferation and myotube formation in cancer conditioned media. In summary, PN significantly suppressed mutated KRAS-driven cell growth and reserved muscle cell function. Based on the current study, PN could be considered as a promising starting point for the development of a nature-derived drug against KRAS-mutated CRC progression

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

Exercise behavior correlates of personality and self-determination in older adults

The purpose of this study was to examine relationships between personality traits (conscientiousness, extraversion, and neuroticism), self-determination, self-efficacy for exercise and perceived health to the stages of exercise behavior change (SEBC) and to identify relationships between personality traits (conscientiousness, extraversion, and neuroticism) and self-determination (amotivation, external, introjected, identified, and intrinsic regulation) among regular exercisers. Subjects were a convenience sample of 188 older adults (mean age = 71.1, SD = 8.5) living in a Midwestern community. Questionnaires included the NEO-Five Factor Inventory (NEO-FFI), the Behavioral Regulation for Exercise Questionnaire (BREQ-2), the Stages of Exercise Behavior Change (SEBC), the five item Self-Efficacy Questionnaire (SEQ), 12-Item Short Form Health Survey Instrument (SF-12), and Physical Activity Scale for the Elderly (PASE). Data were analyzed using descriptive statistics, ordinal logistic regression utilizing Proc CATMOD & Proc GENMOD and one-way ANOVA. Results showed that education was correlated with SEBC. Proc CATMOD showed that of 10 predictor variables, conscientiousness, overall self-determination, self-efficacy for exercise, perceived mental health and perceived physical health were positively associated with SEBC. Proc GENMOD identified that intrinsic regulation and self-efficacy for exercise distinguished the precontemplation stage; conscientiousness and introjected regulation distinguished the preparation stage; introjected regulation and perceived physical health status distinguished the action stage; and conscientiousness, introjected regulation, intrinsic regulation, perceived mental health status and self-efficacy for exercise distinguished the maintenance stage. Among those in the maintenance stage (n=128) extraversion was positively correlated with intrinsic regulation and conscientiousness was positively correlated with identified regulation and intrinsic regulation. In addition, overall PASE scores were significantly different across SEBC. Older adults in the maintenance stage were more engaged in strenuous sport, recreational activities, muscle strength and endurance activities than those in the precontemplation, contemplation, and preparation stages. These findings should be considered in the process of developing effective stage-based intervention strategies among older adults in order to increase the probability of moving from a lower to a higher stage and then maintaining the stage shift

Effect of Anxiety and Calling on Professional Quality of Life in COVID-19 Dedicated Nurses in Korea

This study was conducted to investigate the anxiety, calling, and professional quality of life (ProQOL) of coronavirus disease 2019 (COVID-19)-dedicated nurses at COVID-19 hospitals and to identify the factors influencing the ProQOL in COVID-19-dedicated nurses. For this descriptive correlational study, data were collected from June to September, 2021, using structural questionnaires completed by 149 nurses working at four general hospitals with inpatient treatment facilities for patients with COVID-19 in Korea. The State–Trait Anxiety Inventory, Multidimensional Calling Measure, and ProQOL 5 were employed for the survey. The data were examined using descriptive analysis, independent t-tests, one-way analysis of variance, Pearson’s correlation coefficients, and multiple regression analysis. The factors influencing compassion satisfaction were state anxiety, trait anxiety, and calling, with an explanatory power of 64%. The factors influencing burnout were trait anxiety and calling, and the explanatory power was 52%. The factors influencing secondary traumatic stress were state anxiety and trait anxiety, and the explanatory power was 23%. Based on the results, lower anxiety and calling influence the ProQOL of COVID-19-dedicated nurses. We propose that programs to raise and maintain ProQOL should be developed and applied

The Optimal Starting Model to Search for the Accurate Growth Trajectory in Latent Growth Models

This simulation study aims to propose an optimal starting model to search for the accurate growth trajectory in Latent Growth Models (LGM). We examine the performance of four different starting models in terms of the complexity of the mean and within-subject variance-covariance (V-CV) structures when there are time-invariant covariates embedded in the population models. Results showed that the model search starting with the fully saturated model (i.e., the most complex mean and within-subject V-CV model) recovers best for the true growth trajectory in simulations. Specifically, the fully saturated starting model with using ΔBIC and ΔAIC performed best (over 95%) and recommended for researchers. An illustration of the proposed method is given using the empirical secondary dataset. Implications of the findings and limitations are discussed