Women of Color in Academia and the Influence of Religious Culture on Self-Promotion: A Collaborative Autoethnography

Much has been written about self-promoting communication by women in business, and some about self-promotion and women in academia. However, few studies specifically focus on Women of Color in academia in regard to how their religious backgrounds impact learned self-promotion communication and acclimation to academic culture. This collaborative autoethnography addresses this gap in the literature. Through two of the authors’ life experiences in the Black/African American church and Islamic faith, self-promotion is explored as it relates to their current work in academia

Effects of gamma irradiation on salted and frozen mullet fish during storage period

The objective of the present study was to investigate the influence of gamma irradiation on decontamination of microbial loud of salted and frozen mullet fish. Mullet fish samples were divided into two groups: The first group was frozen at – 20C° and the second group was dry salted with ordinary commercial refined salt at ratio 1 kg fish / 0.8 kg. Each group was subjected to 0, 2.5 and 5 kGy of gamma irradiation doses before storage period. The results showed that, gamma irradiation hadn’t any significant (P?0.05) effects on the chemical composition and minerals content of mullet fish samples under investigation. Gamma irradiation doses (2.5 and 5.0 kGy) had not significant remarkable effect at P?0.05 on sensory properties (appearance, odor, texture and color) of dry and frozen mullet fish samples neither at zero time nor during storage periods. Microbial aspects (total bacterial counts, coliform bacteria, salmonella, sporeforming bacteria and total molds and yeasts) were detected. Also it could be concluded that, gamma irradiation had a significant (P?0.05) decrease effects on microbial loud and improve the microbiological safety of salted and frozen mullet fishes without any adverse effects on their chemical contents and quality. Keywords: key words, Gamma irradiation, Salting, freezing, Mullet fish, Minerals, Microbial loud

Cell and Material‐Specific Phage Display Peptides Increase iPS‐MSC Mediated Bone and Vasculature Formation In Vivo

Biomimetically designed materials matching the chemical and mechanical properties of tissue support higher mesenchymal stem cell (MSC) adhesion. However, directing cell‐specific attachment and ensuring uniform cell distribution within the interior of 3D biomaterials remain key challenges in healing critical sized defects. Previously, a phage display derived MSC‐specific peptide (DPIYALSWSGMA, DPI) was combined with a mineral binding sequence (VTKHLNQISQSY, VTK) to increase the magnitude and specificity of MSC attachment to calcium‐phosphate biomaterials in 2D. This study investigates how DPI‐VTK influences quantity and uniformity of iPS‐MSC mediated bone and vasculature formation in vivo. There is greater bone formation in vivo when iPS‐MSCs are transplanted on bone‐like mineral (BLM) constructs coated with DPI‐VTK compared to VTK (p < 0.002), uncoated BLM (p < 0.037), acellular BLM/DPI‐VTK (p < 0.003), and acellular BLM controls (p < 0.01). This study demonstrates, for the first time, the ability of non‐native phage‐display designed peptides to spatially control uniform cell distribution on 3D scaffolds and increase the magnitude and uniformity of bone and vasculature formation in vivo. Taken together, the study validates phage display as a novel technology platform to engineer non‐native peptides with the ability to drive cell specific attachment on biomaterials, direct bone regeneration, and engineer uniform vasculature in vivo.Non‐native peptides derived from a combinatorial phage display are engineered to increase iPS‐MSC attachment on biomaterials and increase the quantity and uniformity of bone and vasculature formation in vivo. Findings validate phage display as a new technology platform to engineer the interface between selective cell populations and specific biomaterial chemistries.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149285/1/adhm201801356_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149285/2/adhm201801356.pd

Ethyl 4-{[3-(adamantan-1-yl)-4-phenyl-5-sulfanyl­idene-4,5-dihydro-1H-1,2,4-triazol-1-yl]meth­yl}piperazine-1-carboxyl­ate

The title mol­ecule, C26H35N5O2S, displays a chair-shaped piperazine ring, as well as a planar triazole ring whose phenyl substituent is perpendicular to the mean plane of the five-membered ring [dihedral angle = 90.00 (13)°]. The methyl­ene substituent on the piperazine ring occupies an equatorial site. Weak inter­molecular C—H⋯O hydrogen bonding is present in the crystal structure. The crystal studied was a non-merohedral twin, with a 33.9 (3)% minor component

3-(Adamantan-1-yl)-4-phenyl-1-[(4-phenyl­piperazin-1-yl)meth­yl]-1H-1,2,4-triazole-5(4H)-thione

The title mol­ecule, C29H35N5S, displays a chair-shaped piperazine ring, as well as an approximately planar triazole ring (r.m.s. deviation = 0.001 Å) whose phenyl substituent is nearly perpendicular to the mean plane of the five-membered ring [dihedral angle = 88.9 (1)°]. The substituents on the piperazine ring occupy equatorial sites. In the crystal, the adamantyl cage is disordered over two sets of sites with a major component of 67.8 (5)%. Weak inter­molecular C—H⋯S hydrogen bonding is present in the crystal

Multi-level Multi-objective Quadratic Fractional Programming Problem with Fuzzy Parameters: A FGP Approach

The motivation behind this paper is to present multi-level multi-objective quadratic fractional programming (ML-MOQFP) problem with fuzzy parameters in the constraints. ML-MOQFP problem is an important class of non-linear fractional programming problem. These type of problems arise in many fields such as production planning, financial and corporative planning, health care and hospital planning. Firstly, the concept of the -cut and fuzzy partial order relation are applied to transform the set of fuzzy constraints into a common crisp set. Then, the quadratic fractional objective functions in each level are transformed into non-linear objective functions based on a proposed transformation. Secondly, in the proposed model, separate non-linear membership functions for each objective function of the ML-MOQFP problem are defined. Then, the fuzzy goal programming (FGP) approach is utilized to obtain a compromise solution for the ML-MOQFP problem by minimizing the sum of the negative deviational variables. Finally, an illustrative numerical example is given to demonstrate the applicability and performance of the proposed approach

Response of lettuce to Cd-enriched water and irrigation frequencies

This pot experiment was an attempt to investigate a broad response of lettuce to different cadmium (Cd) levels of irrigation water (0, 5, 10 and 20 mg l-1) under different irrigation intervals (1, 2 and 4 days). The results showed that increased level of soil Cd through irrigation eventually decreased the yield of lettuce in all cases; however, in some cases yield was increased with lower doses of Cd application. No injury symptoms were observed other than plant height and yield reduction. Shoot dry weight proved to be the most sensitive parameters to the cadmium, especially under water stress conditions. The results also showed that the concentrations of nutrient elements in lettuce shoot were suppressed by water stress. The presence of cadmium in irrigation water did not significantly affect the absorption of nutrient elements by plants except for Fe. Shoot Cd concentration and its uptake decreased with increasing irrigation frequencies and the reverse trend occurred with increasing Cd levels of irrigation water. However, the values were higher than recommended guideline in all conditions. Also, shoot Cd content showed a significant positive correlation with the final accumulated Cd concentration of soil and was expressed by a plateau model under the dry irrigation regime and linear models at other irrigation intervals. Overall, shoot Cd concentration was predicted by using a simple linear regression model regardless of evapotranspiration and transpiration rate of plant.Key words: Cadmium toxicity; chemical composition; irrigation frequency; lettuce

Elastic neural network method for load prediction in cloud computing grid

Cloud computing still has no standard definition, yet it is concerned with Internet or network on-demand delivery of resources and services. It has gained much popularity in last few years due to rapid growth in technology and the Internet. Many issues yet to be tackled within cloud computing technical challenges, such as Virtual Machine migration, server association, fault tolerance, scalability, and availability. The most we are concerned with in this research is balancing servers load; the way of spreading the load between various nodes exists in any distributed systems that help to utilize resource and job response time, enhance scalability, and user satisfaction. Load rebalancing algorithm with dynamic resource allocation is presented to adapt with changing needs of a cloud environment. This research presents a modified elastic adaptive neural network (EANN) with modified adaptive smoothing errors, to build an evolving system to predict Virtual Machine load. To evaluate the proposed balancing method, we conducted a series of simulation studies using cloud simulator and made comparisons with previously suggested approaches in the previous work. The experimental results show that suggested method betters present approaches significantly and all these approaches

Anisotropic nonlinear elasticity in a spherical bead pack: influence of the fabric anisotropy

Stress-strain measurements and ultrasound propagation experiments in glass bead packs have been simultaneously conducted to characterize the stress-induced anisotropy under uniaxial loading. These measurements, realized respectively with finite and incremental deformations of the granular assembly, are analyzed within the framework of the effective medium theory based on the Hertz-Mindlin contact theory. Our work shows that both compressional and shear wave velocities and consequently the incremental elastic moduli agree fairly well with the effective medium model by Johnson et al. [J. Appl. Mech. 65, 380 (1998)], but the anisotropic stress ratio resulting from finite deformation does not at all. As indicated by numerical simulations, the discrepancy may arise from the fact that the model doesn't properly allow the grains to relax from the affine motion approximation. Here we find that the interaction nature at the grain contact could also play a crucial role for the relevant prediction by the model; indeed, such discrepancy can be significantly reduced if the frictional resistance between grains is removed. Another main experimental finding is the influence of the inherent anisotropy of granular packs, realized by different protocols of the sample preparation. Our results reveal that compressional waves are more sensitive to the stress-induced anisotropy, whereas the shear waves are more sensitive to the fabric anisotropy, not being accounted in analytical effective medium models.Comment: 9 pages, 8 figure