We present a minimal model of solvent evaporation and absorption in thin films consisting of a volatile solvent and non-volatile solutes. An asymptotic analysis yields expressions that facilitate the extraction of physically significant model parameters from experimental data, namely the mass transfer coefficient and composition-dependent diffusivity. The model can be used to predict the dynamics of drying and film formation, as well as sorption/desorption, over a wide range of experimental conditions. A state diagram is used to understand the experimental conditions that lead to the formation of a solute-rich layer, or "skin", at the evaporating surface during drying. In the case of solvent absorption, the model captures the existence of a saturation front that propagates from the film surface towards the substrate. The theoretical results are found to be in excellent agreement with data produced from dynamic vapour sorption experiments of ternary mixtures comprising an aluminium salt, glycerol, and water. Moreover, the model should be generally applicable to a variety of practical contexts, from paints and coatings, to personal care, packaging, and electronics.
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http://dx.doi.org/10.1016/j.jcis.2016.10.074 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Badr City, 11829, Cairo, Egypt.
Antibody-drug conjugates (ADCs) have emerged as a promising strategy in targeted cancer therapy, enabling the precise delivery of cytotoxic agents to tumor sites while minimizing systemic toxicity. However, traditional ADCs face significant limitations, including restricted drug loading capacity, where an optimal drug-to-antibody ratio (DAR) is crucial; low DARs may lead to insufficient potency, while high DARs can cause rapid clearance and increased toxicity. Additionally, ADCs often suffer from instability in circulation due to the potential for premature release of cytotoxic agents, resulting in off-target effects and reduced therapeutic efficacy.
View Article and Find Full Text PDFJ Mol Model
January 2025
Escuela Superior de Física y Matemáticas, IPN S/N, Edificio 9 de la Unidad Profesional "Adolfo López Mateos", Col. Lindavista, Alc. Gustavo A. Madero, 07738, Mexico City, Mexico.
Context: "Nanostructure of graphene-reinforced with polymethyl methacrylate" (PMMA-G), and vice versa, is investigated using its molecular structure, in the present work. The PMMA-G nanostructure was constructed by bonding PMMA with graphene nanosheet in a sense to get three different configurations. Each configuration consisted of polymeric structures with three degrees of polymerization (such as monomers, dimers, and trimers polymers, respectively).
View Article and Find Full Text PDFBMC Psychol
January 2025
Management Department, College of Business, King Saud University, Riyadh, Saudi Arabia.
Purpose: The present study aimed to analyze the effectiveness of external and personal regulatory mechanisms in reducing procrastination behavior among university students. For this purpose, the role of teachers' academic motivation is worthwhile in shaping the learning environment and reducing procrastination, with a focus on the mediating roles of emotion regulation and study habits considered imperative.
Research Design/method: By employing a quantitative, cross-sectional research design, data were collected from a sample of 210 teachers working in universities located in Multan-Pakistan via convenient sampling, yielding a usable response rate of 70.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Visceral leishmaniasis is endemic in Ethiopia and caused by Leishmania donovani. Although the disease manifests with significant clinical variability, a substantial number of individuals are asymptomatic. These individuals can serve as reservoirs, complicating control efforts.
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