The traditional modeling framework for determining streaming potential, when taking into consideration finite size effects, suffers from an oversight in that while the model incorporates the size effects in the ion distribution profiles, it neglects these very same effects in the flux contributions, even though diffusivities are intrinsically linked with ionic friction, which again depends on the size of the ions. This oversight may lead to inconsistent quantitative estimates through ad hoc consideration of diffusivity values, apparently independent of the specific size of the ions, which nevertheless determines the ionic profiles. We remedy this theoretical inconsistency by expressing the diffusivity in terms of the ionic radius and investigate the consequences of such a description of the diffusivity-dependent flux, consistent with the ionic distribution profiles, on streaming potential mediated flow predictions. Additionally, we consider the effects of "charge induced thickening" so that both viscosity and diffusivity are expressed as spatially varying functions. As an unintuitive implication, we also show that calculation of nonzero values of streaming potential under the purview of classical Boltzmann distributions, which consider ions to be pointlike charges, is itself a theoretical inconsistency. We believe that the simple framework presented in this paper will pave the way for more sophisticated modeling efforts in the future.
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http://dx.doi.org/10.1103/PhysRevE.86.061504 | DOI Listing |
Macromol Biosci
January 2025
Institute for Technical Chemistry, Macromolecular Chemistry, TU Braunschweig, Hagenring 30, 38106, Braunschweig, Germany.
Implant-integrated drug delivery systems that enable the release of biologically active factors can be part of an in situ tissue engineering approach to restore biological function. Implants can be functionalized with drug-loaded nanoparticles through a layer-by-layer assembly. Such coatings can release biologically active levels of growth factors.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Computer Science, Tunghai University, Taichung City 407224, Taiwan.
This paper addresses the increasing demand for efficient and scalable streaming service applications within the context of edge computing, utilizing NVIDIA Jetson Xavier NX hardware and Docker. The study evaluates the performance of DeepStream and Simple Realtime Server, demonstrating that containerized applications can achieve performance levels comparable to traditional physical machines. The results indicate that WebRTC provides superior low-latency capabilities, achieving delays of around 5 s, while HLS typically experiences delays exceeding 10 s.
View Article and Find Full Text PDFPrim Health Care Res Dev
January 2025
Norwich Medical School, University of East Anglia, Norwich, UK.
Aim: We describe activity, outcomes, and benefits after streaming low urgency attenders to eneral practice services at oor of ccident and mergency departments (GDAE).
Background: Many attendances to A&Es are for non-urgent health problems that could be better met by primary care rather than urgent care clinicians. It is valuable to monitor service activity, outcomes, service user demographics, and potential benefits when primary care is co-located with A&E departments.
Vaccine
January 2025
Global Health Program, Department of Anthropology, University of California San Diego, San Diego, CA, USA; Global Health Policy and Data Institute, San Diego, CA, USA; S-3 Research, San Diego, CA, USA. Electronic address:
Background: Though vaccine hesitancy and misinformation has been pervasive online, via platforms such as Twitter, little is known about the characteristics of pediatric-specific vaccine hesitancy and how online users interact with verified user accounts that may hold larger influence. Identifying specific COVID-19 pediatric vaccine hesitancy themes and online user interaction and sentiment may help inform health promotion that addresses vaccine hesitancy more effectively among parents and caregivers of pediatric populations.
Methods: Keywords were used to query the public streaming twitter application programming interface to collect tweets associated with COVID-19 pediatric vaccines.
Front Psychol
December 2024
Management School, Wuhan University of Science and Technology, Wuhan, China.
Background: With the widespread application of Artificial Intelligence technology in the field of E-commerce, human-machine relationships have attracted considerable attention within the field of psychology. Address forms, as crucial linguistic cues, have shown notable progress in advancing research on interpersonal relationships; however, a comprehensive understanding of the dynamics in interpersonal (or human-machine) relationships among interactors remains elusive. Therefore, based on Social Identity Theory, this paper explores the interactive effects and underlying mechanisms of affectionate nicknames and streamer type on streamer attitude in E-commerce live streaming, with consumers' perceptions of psychological closeness serving as the mediating mechanism.
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