FairWear: Case Study App Redesign

FairWear is an app tackling the lack of sustainable shopping experiences. It also exists as a platform to bring awareness and general apathy toward the problem. The redesign will reimagine branding to align with a broader user demographic and expand the user flow by incorporating up to 8 screen designs

Chinese Community Physicians\u27 Perception Toward Collaboration with Advanced Practice Nurses

Effective interprofessional collaboration has been shown to be beneficial for both patients and providers. Yet collaboration between physicians and advanced practiced nurses (APNs) has been problematic. Little was known about such collaboration in an ethnic group like the Chinese community. This quantitative descriptive capstone project was to assess the perception among physicians, who are the members of the Chinese Community Healthcare Association in the San Francisco area, toward collaboration with APNs. The study also attempted to gain insight of collaborative attitudes of physicians in the Chinese community in order to fill the gap in the literature in this area. Data collection involved mail and online survey methods, using a modified Jetlerson Scale of Attitudes toward physician-nurse collaboration and six researchergenerated questions. 44 out of 217 physicians participated in the study. Results indicated the physicians in the Chinese community carried the same attitude toward APNs as their colleagues from other ethnicities, and physician dominant authority was deeply rooted in this physician group. Gender or age seems to have no effect on physician\u27s fttitude, and primary care :.. physicians tend to have a more positive attitude than the specialists. Personal, interpersonal and cultural influences seem to be relativel y weak factors, yet the professional and organizational influences had more substantial effects on collaboration attitudes. Future studies are needed to better comprehend cultural or ethnicity\u27s impact on providers\u27 attitude toward collaboration

Preparation, Characterization And Evaluation Of Mesoporous Activated Carbons Derived From Agricultural By-Products For Adsorption Of Methylene Blue And 2,4,6- Trichlorophenol [TD420. T161 2008 f rb].

Penggunaan secara meluas karbon teraktif komersil dihadkan oleh kos yang tinggi disebabkan oleh penggunaan bahan mentah yang tidak dapat diperbaharui. The prolific use of commercial activated carbon is restricted by the high costs due to the use of non-renewable starting material

The Role of Thermodynamic Phase Shifts in the Extratropical Cloud Optical Depth Feedback

No abstract availabl

STARA fight or flight: a two-wave time-lagged study of challenge and hindrance appraisal of STARA awareness on basic psychological needs and individual competitiveness productivity among hospitality employees

The introduction of smart technologies, artificial intelligence, robotics, and algorithms (STARA) has changed the workforce significantly, with many concerns about its impact on employees. This study elucidates how one’s appraisal of this situation would influence basic psychological needs and individual competitiveness productivity. Using a two-wave time-lagged study, data collected from 224 hospitality employees was examined using the partial least squares method structural equation modelling (PLS-SEM). Results suggested that individual appraisal towards STARA awareness has differential outcomes towards satisfying basic psychological needs. Among the three basic psychological needs, the needs for relatedness and competency were positively related to individual competitive productivity (ICP). We extend extant studies by incorporating challenge-hindrance framework and self-determination theory (SDT) in the context of the future of work involving STARA. It advances the body of knowledge in understanding a more fundamental issue of how STARA can bring out the best in employees, how STARA shapes employees’ opinions and perspectives of the work they are doing, and what they should do to work alongside STARA

Contributions of Mixed-Phase Clouds to Reduced Arctic Amplification

Earths Arctic is particularly sensitive to global warming. The climate record shows that Arctic changes in surface temperatures far exceed that of the global mean, a phenomenon referred to as Arctic amplification. Here, we show that warming of the Arctic atmosphere causes mixed-phase clouds in the region to contain less ice and more supercooled liquid, which in turn tends to increase their amount and thick- ness, thereby inducing a positive feedback mainly by increasing downward longwave (LW) radiation at the surface. The increased downward LW radiation decreases the positive lapse rate feedback in the Arctic, thus resulting in reduced Arctic amplification. The strength of this feedback depends on the initial mean-state supercooled liquid fraction (SLF) and the ice crystal effective radii. We also show that reduced precipitation rates can result from large mean-state ice effective radii being replaced by relatively more smaller liquid droplets in the cloud phase feedback, despite having high mean-state SLFs, demonstrating the importance of the representation of cloud microphysics in the Arctic

Determining Cloud Thermodynamic Phase from Micropulse Lidar Network Data

Determining cloud thermodynamic phase is a critical factor in studies of Earth's radiation budget. Here we use observations from the NASA Micro Pulse Lidar Network (MPLNET) and thermodynamic profiles from the Goddard Earth Observing System, version 5 (GEOS-5) to distinguish liquid water, mixed-phase, and ice water clouds. The MPLNET provides sparse global, autonomous, and continuous measurements of clouds and aerosols which have been used in a number of scientific investigations to date. The use of a standardized instrument and a common suite of data processing algorithms with thorough uncertainty characterization allows for straightforward comparisons between sites. Lidars with polarization capabilities have recently been incorporated into the MPLNET project which allows, for the first time, the ability to infer a cloud thermodynamic phase. This presentation will look specifically at the occurrence of ice and mixed phase clouds in the temperature region of -10 C to -40 C for different climatological regions and seasons. We compare MPLNET occurrences of mixed-phase clouds to an historical climatology based on observations from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) spacecraft

Removal of crystal violet dye from aqueous solutions using rubber (hevea brasillensis) seed shell-based biosorbent

The need of safe and economical methods for the elimination of hazardous dyes from contaminated waters has necessitated research interest towards the production of low-cost adsorbent. The present study aims to investigate the feasibility of rubber seed shell-based biosorbent for removal of crystal violet dye from aqueous solutions. The biosorbent was prepared using sulfuric acid treatment. Fourier transform infrared analysis showed that the main functional groups present on the surface of the biosorbent were aliphatic compounds. Batch adsorption studies were conducted to determine the effects of contact time, initial dye concentration and biosorbent dosage on the uptake of dye at 30 °C. The equilibrium data were analyzed by using Langmuir and Freundlich isotherm models. Equilibrium data fitted well with the Langmuir model, yielding maximum monolayer adsorption capacity of 23.81 mg/g. The kinetic data were found to conform to pseudo-second-order kinetic model with good correlation. Rubber seed shell-based biosorbent was shown to be a promising low-cost material for adsorption of crystal violet dye from aqueous solutions

Intercomparison of the cloud water phase among global climate models

Mixed‐phase clouds (clouds that consist of both cloud droplets and ice crystals) are frequently present in the Earth's atmosphere and influence the Earth's energy budget through their radiative properties, which are highly dependent on the cloud water phase. In this study, the phase partitioning of cloud water is compared among six global climate models (GCMs) and with Cloud and Aerosol Lidar with Orthogonal Polarization retrievals. It is found that the GCMs predict vastly different distributions of cloud phase for a given temperature, and none of them are capable of reproducing the spatial distribution or magnitude of the observed phase partitioning. While some GCMs produced liquid water paths comparable to satellite observations, they all failed to preserve sufficient liquid water at mixed‐phase cloud temperatures. Our results suggest that validating GCMs using only the vertically integrated water contents could lead to amplified differences in cloud radiative feedback. The sensitivity of the simulated cloud phase in GCMs to the choice of heterogeneous ice nucleation parameterization is also investigated. The response to a change in ice nucleation is quite different for each GCM, and the implementation of the same ice nucleation parameterization in all models does not reduce the spread in simulated phase among GCMs. The results suggest that processes subsequent to ice nucleation are at least as important in determining phase and should be the focus of future studies aimed at understanding and reducing differences among the models. Key Points Phase partitioning of cloud water in GCMs is investigated Cloud water phase in GCMs is compared to satellite observations Ice nucleation parameterization influence on cloud water phase is investigatedPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106995/1/jgrd51239.pd