Kinetic speciation of Co(II), Ni(II), Cu(II), and Zn(II) in model solutions and freshwaters: lability and the d electron configuration

The kinetic speciation of Co(II), Ni(II), Cu(II), and Zn(II) in model solutions of a well-characterized fulvic acid (Laurentian fulvic acid), freshwater samples from the Rideau River (Ottawa, Ontario), and freshwater samples from the Sudbury (Ontario) area were investigated by the competing ligand exchange method using Chelex 100 as the competing ligand and by inductively coupled plasma-mass spectrometry to measure the dissociation kinetics. The metal species were quantitatively characterized by the rate coefficient for the first-order dissociation of metal complex to free metal ion. This technique can be applied to almost all elements and represents an important advance in our ability to investigate the kinetic availability of metal species in the freshwater environment. The order of the lability of the metal complexes, Co(II) > Ni(II) > Cu(II) < Zn(II), follows the reverse order of the ligand field stabilization energy with the exception of Cu(II); the behavior of Cu(II) is also due to the Jahn-Teller effect, which shortens the equatorial bonds and lengthens the axial bonds of a tetragonally distorted Cu(II)-L6 complex. This study has demonstrated a relationship between the lability of metal-DOM complexes of the 3d transition metals in freshwaters and their d electron configuration. This is the first time that the importance of the d electron configuration on the lability of metal complexes in the freshwater environment has been demonstrated. The slow complexation kinetics of both Ni(II) and Cu(II) suggestthatthe usual equilibrium assumption for freshwaters may be invalid.     

Modelling of the blend ratio effect on the mechanical properties of the biofibres

This work investigates the effect of the blend ratios of three different environmental-friendly biopolymers on fibres’ properties made by water bath extrusion machine and multi-stage drawing frame. Tensile test, shrinkage test, differential scanning calorimetry and scanning electron microscopy are used to study the mechanical and thermal properties of composed fibres. In the modelling stage, stepwise regressions were used as faster and less prone technique to over fit the results by watching the order in which blend ratios are increased or decreased, that help to meet the requirements of specific applications. The statistical-based models control the biodegradable fibre properties beyond the selected range of the blend ratios more than that can be obtained from single polymer equivalents. The forecasting designed program simulates the relationship between the blend ratios and the biofibre’ properties to save both time and cost of the production process, this novel method steps could be applied on different polymers.     

Classification,characterization, and the production processes of biopolymers used in the textiles industry

This article is focused on biopolymers as intelligent environmentally friendly polymers, the production processes, and coatings of biotextiles used in different industries for next generation environmental applications. Furthermore, classification and composition of biodegradable polymers, the theoretical techniques, and factorial experimental designs for the optimization of processes with intelligent biotextiles used as an alternative to commercial chemical-based textiles at reasonable cost with a zero to low environmental footprint are discussed. This article will also provide how these novel modeling methodologies will assist polymer designers in making the best decision. The present work also discusses how the fully biodegradable polymers support the textiles industry by decreasing the processing energy, material, and manufacturing costs. Finally, current development as well as potential future applications and trends of biodegradable polymers in modern biodegradable textiles industry will be presented.     

Development of Emu oil-loaded PCL/collagen bioactive nanofibers for proliferation and stemness preservation of human adipose-derived stem cells: possible application in regenerative medicine

Adipose tissue-derived stem cells (ASCs) are promising candidate in stem cell therapies, and maintaining their stemness potential is vital to achieve effective treatment. Natural-based scaffolds have been recently attracted increasing attention in nanomedicine and drug delivery. In the present study, a polymeric nanofibrous scaffold was developed based on the polycaprolactone/Collagen (PCL/Coll) containing Emu oil as a bioactive material to induce the proliferation of ASCs, while simultaneously preserving the stemness property of those cells. Fabrication of the electrospun Emu oil-loaded PCL/Coll nanofibers was confirmed by using FE-SEM, FTIR, and tensile test. ASCs were seeded on two types of nanofibers (PCL/Coll and Emu oil-loaded PCL/Coll) and their proliferation, cell cycle progression, and stemness gene expressions were evaluated using MTT, propidium iodide staining, and qPCR during 14?days, respectively. The results indicated that ASCs displayed improved adhesion capacity with the higher rates of bioactivity and proliferation on the Emu oil-loaded nanofibers than the other groups. The proliferation capacity of ASCs on Emu oil-loaded PCL/Coll nanofibers was further confirmed by the cell cycle progression analysis. It was also found that Emu oil-loaded nanofibers significantly up-regulated the expression of stemness markers including sox-2, nanog, oct4, klf4, and c-Myc. The results demonstrated that the nanofibers containing Emu oil can reinforce the cell adhesion and enhance ASCs proliferation while preserving their stemness; therefore, using scaffolds containing natural products may have a great potential to enhance the in vitro expansion capacity of ASCs in the field of stem cell therapy and regenerative medicine.     

A Reference Benchmark Solution for Free Convection in A Square Cavity Filled with A Heterogeneous Porous Medium

The Fourier-Galerkin (FG) method is used to produce a highly accurate solution for free convection in a square cavity filled with heterogeneous porous medium. To this end, the governing equations are reformulated in terms of the temperature and the stream function. These unknowns are then expanded in infinite Fourier series truncated at given orders. The accuracy of the FG solution is investigated for different truncation orders and compared to the results of an advanced finite-element numerical model using fine-mesh discretization. The obtained results represent a set of high-quality data that can be used for benchmarking numerical models.     

Surgical removal of pulmonary metastasis: prospective study in 182 patients]

Dystrophic neurites are major components of neuritic (both immature and mature) senile plaques in Alzheimer disease. Previous studies have shown strong immunoreactivity for different neuropeptides, and chromogranin A, a protein associated with dense-core vesicles, in dystrophic neurites. In the present study, antibodies to synaptophysin, synapsin, Rab3a and synaptotagmin (synaptic vesicle proteins), and SNAP-25 (synaptosomal-associated protein of 25 kD) and syntaxin (presynaptic plasma membrane proteins) have been used to learn about the dystrophic neurite equipment of proteins that are necessary for the docking and fusion of synaptic vesicles, and then for exocytosis and neurotransmission. The present results have shown that, although most neuritic senile plaques have chromogranin A- and SNAP-25-immunoreactive dystrophic neurites, only a percentage of them contain synaptophysin, and a minority contain synaptotagmin and Rab3a. Dystrophic neurites do not contain synapsin and syntaxin. These results show that dystrophic neurites of senile plaques are defective in proteins that control exocytosis and neurotransmission.     

Absence of prognostic significance of bcl-2 immunopositivity in non-small cell lung cancer: analysis of 427 cases

The bcl-2 gene product inhibits apoptosis and is thought to participate in oncogenesis. Association of bcl-2 immunopositivity with improved prognosis of non-small cell lung cancers (NSCLC) is controversial. Although two studies have reported better survival in bcl-2-immunopositive NSCLCs, a third series has contradicted this finding. The authors studied a relatively larger case series involving 427 patients for whom detailed information on long-term follow-up was available to determine the prognostic significance of bcl-2 expression. The study included 252 adenocarcinomas (AC), 111 squamous cell carcinomas (SCC), and 64 large cell carcinomas (LC). After antigen retrieval, sections were immunostained using a monoclonal anti-bcl-2 antibody (1:60, Clone 124, Dako) and the avidin-biotin complex technique. Staining was scored as positive or negative and also on a semiquantitative scale as 0, low (<10%), moderate (10% to 75%), or extensive (>75%). Bcl-2 immunoreactivity was correlated with survival using the actuarial survival method, Kaplan-Meier method, and log-rank test and was not associated with statistically significant differences in survival for NSCLCs (P = .5537). Differences in survival remained insignificant even after NSCLCs were stratified for cell type, stage, or grade, singly or in combination. Therefore, using this method, bcl-2 immunopositivity does not appear to act as an independent prognostic indicator in NSCLCs.