Collaboration, Connectedness, and Community: An examination of the factors Influencing Student Persistence in Virtual Communities

Institutions of higher education are being called upon to provide a more robust pathway to a college degree and improve upon the advanced workforce for the needs of the 21st century. While active collaborative learning environments have been encouraged in higher education to improve student engagement, there is a gap in the literature when it comes to connecting the two research areas of collaborative learning and student intention to persist. This research fills this gap by creating and conducting research to examine a model that measures the factors that significantly influence a student\u27s persistence in a virtual collaborative learning environment. The model examines how collaborative learning, campus connectedness, sense of community, organizational commitment, and turnover intention influence student persistence. The model was tested using a sample of students who participated in a virtual learning community (VLC) and the results suggest that all but one of the factors were found to significantly influence student persistence, with the final factor dependent on the number of hours of system usage. We discuss the implications of the research and the model for team-based theory and organizational practice in education and teamwork

Human Trafficking and Air Transportation

Human trafficking may seem like something that only happens somewhere far away, but it happens right here in Indiana and elsewhere in the Midwest. Human trafficking is different from smuggling (moving people) because trafficking involves exploitation. Come learn more about human trafficking and what airports can do to help stop it

Conceptual hydrological model calibration using multi-objective optimization techniques over the transboundary Komadugu-Yobe basin, Lake Chad Area, West Africa

Study Area: The discharge of the transboundary Komadugu-Yobe Basin, Lake Chad Area, West Africa is calibrated using multi-objective optimization techniques. Study focus: The GR5J hydrological model parameters are calibrated using six optimization methods i.e. Local Optimization-Multi Start (LOMS), the Differential Evolution (DE), the Multiobjective Particle the Swarm Optimization (MPSO), the Memetic Algorithm with Local Search Chains (MALS), the Shuffled Complex Evolution-Rosenbrock’s function (SCE-R), and the Bayesian Markov Chain Monte Carlo (MCMC) approach. Three combined objective functions i.e. Root Mean Square Error, Nash- Sutcliffe efficiency, Kling-Gupta efficiency are applied. The calibration process is divided into two separate episodes (1974–2000 and 1980–1995) so as to ascertain the robustness of the calibration approaches. Runoff simulation results are analysed with a timefrequency wavelet transform. New hydrological insights for the region: For calibration and validation stages, all optimization methods simulate the base flow and high flow spells with a satisfactory level of accuracy. For calibration period, MCMC underestimate it by -0.07 mm/day. The performance evaluation shows that MCMC has the highest values of mean absolute error (0.28) and mean square error (0.40) while LOMS and MCMC record a low volumetric efficiency of 0.56. In all cases, the DE and the SCE-R methods perform better than others. The combination of multi-objective functions and multi-optimization techniques improve the model’s parameters stability and the algorithms’ optimization to represent the runoff in the basin

Saving Face: Inclusive Communication With College Students With Disabilities Using Politeness And Face Negotiation

Have I offended anyone today? Have I been insensitive? Creating welcoming inclusive environments for students with and without disabilities is a higher education imperative. The academy strives to create diverse and welcoming atmospheres for students and educators and employ social justice and face saving measures to encourage respectful communication and discourage discriminatory behaviors. With the increase of college students with disabilities, professionals need to be comfortable and confident in their communication tactics. Applying politeness and face-negotiation theories to the communication preferences and behaviors of college students with disabilities, this article offers practice-oriented applications for respectful inclusive communication

Vascular signalling mediated by ZWILLE potentiates WUSCHEL function during shoot meristem stem cell development in the Arabidopsis embryo

Stem cells are maintained in an undifferentiated state by signals from their microenvironment, the stem cell niche. Despite its central role for organogenesis throughout the plant's life, little is known about how niche development is regulated in the Arabidopsis embryo. Here we show that, in the absence of functional ZWILLE (ZLL), which is a member of the ARGONAUTE (AGO) family, stem cell-specific expression of the signal peptide gene CLAVATA3 (CLV3) is not maintained despite increased levels of the homeodomain transcription factor WUSCHEL (WUS), which is expressed in the organising centre (OC) of the niche and normally promotes stem cell identity. Tissue-specific expression indicates that ZLL acts to maintain the stem cells from the neighbouring vascular primordium, providing direct evidence for a non-cell-autonomous mechanism. Furthermore, mutant and marker gene analyses suggest that during shoot meristem formation, ZLL functions in a similar manner but in a sequential order with its close homologue AGO1, which mediates RNA interference. Thus, WUS-dependent OC signalling to the stem cells is promoted by AGO1 and subsequently maintained by a provascular ZLL-dependent signalling pathway.Matthew R. Tucker, Annika Hinze, Elise J. Tucker, Shinobu Takada, Gerd Jürgens and Thomas Lau

Effects of Magnetic Field on Josephson Current in SNS System

The effect of a magnetic field on Josephson current has been studied for a superconductor/normal-metal/superconductor (SNS) system, where N is a two-dimensional electron gas in a confining potential. It is found that the dependence of Josephson currents on the magnetic field are sensitive to the width of the normal metal. If the normal metal is wide and contains many channels (subbands), the current on a weak magnetic field shows a dependence similar to a Fraunhofer-pattern in SIS system and, as the field gets strong, it shows another type of oscillatory dependence on the field resulting from the Aharonov-Bohm interference between the edge states. As the number of channels decreases (i.e. normal metal gets narrower), however, the dependence in the region of the weak field deviates from a clear Fraunhofer pattern and the amplitude of the oscillatory dependence in the region of the strong field is reduced.Comment: 14 pages, 9 figure

The minimum wage in Germany: what brought the state in?

A statutory minimum wage has been introduced in Germany, in the face of business opposition but abetted by union support. The political coalition in favour of minimum wage regulation brought together the centre-left and the centre-right with the argument that regulation is needed to prevent disfunctional interaction between low wages and the social security system. Thus the dualization which characterises Germany’s inegalitarian form of coordinated capitalism has provoked a corrective political response. The paper traces the long path to government intervention and assesses why employers were unable, or unwilling, to pre-empt intervention by maintaining the coverage of collective bargaining. It is argued that market liberalization has had a paradoxical effect on employer power: intense domestic as well as international competition has reduced employers’ capacity to act strategically to fend off regulation by the government

Multivariate Drought Monitoring, Propagation, and Projection Using Bias‐Corrected General Circulation Models

Understanding how droughts are characterized, propagated, and projected, particularly multivariate droughts, is necessary to explain the variability and changes in drought characteristics. This study aims to understand multimodel global drought monitoring, propagation, and projection by utilizing a multivariate standardized drought index (MSDI) during the historical (1959–2014) and future (2045–2100) periods under two socioeconomic pathways SSPs (370 and 585), derived from the bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP6). Based on the energy metrics, the multivariate bias correction method outperformed other techniques in correcting the biases in the CMIP6 drought representation. The drought indicators demonstrate distinct categories for meteorological, hydrological, and multivariate droughts. There were significant high cross correlations between Heatwave Total Length (HWTL) and MSDI in Africa and South America for all lagged times. Europe and North America generally saw the maximum MSDI drought duration (228 months) during the historical period. For future projections, Africa recorded the maximum drought duration (197 months), while Europe witnessed the minimum drought duration for SSP 370 (171 months), and North America (149 months) for SSP 585. Furthermore, during the historical period in tropical Africa, the propagation of meteorological to hydrological drought was slower during the wet months than during the dry months. Under the SSP 370 future projection, there was a shift in the long period of meteorological-hydrological propagation from the middle and late wet months to the beginning of the wet months in tropical Africa. Therefore, tracking and projecting drought characteristics is vital for understanding the risk of drought-related consequences