Additional file 4: of The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models

Table S3. Binary logistic regression of the relationship between satisfaction and learning styles in the traditional and ICM approaches. Bivariable logistic regression analysis of learning styles and teaching approach satisfaction among second-year dental students at Cheeloo College of Medicine, Shandong University, China 2018 (n = 121); CI = confidence interval. (PDF 96 kb

Monitoring Compliance in Pandemic Management with Air Pollution Data: A Lesson From COVID-19

Monitoring Compliance in Pandemic Management with Air Pollution Data: A Lesson From COVID-1

Additional file 3: of The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models

Table S2. Tests of between-subjects effects (n = 121). # P < 0.05, analysis by general linear model-based univariate ANOVA. (PDF 57 kb

Mixed Matrix Polytetrafluoroethylene/Polysulfone Electrospun Nanofibrous Membranes for Water Desalination by Membrane Distillation

The electrospinning technique was used successfully to fabricate nanofibers of polysulfone (PSF) in which polytetrafuoroethylene nanoparticles (PTFE NPs) were embedded. The size of the PTFE NPs is only 1.7 to 3.6 times smaller than the nanofiber diameter. The transition from hydrophobic to superhydrophobic character of the bead-free PSF electrospun nanofiber mats occurred with a PTFE NPs loading in the range 12–18% of the PSF weight. Transmission electron microscopy images revealed protruding nanosized asperities on the fiber surface due to the embedded PTFE NPs in the PSF matrix. For low PTFE NPs content in PSF matrix (<6% of the polymer weight), the PTFE NPs were arranged one by one in a single file along the PSF nanofiber axis. The structural characteristics of the nanofibers and electrospun nanofibrous membranes (ENMs) were studied by means of different techniques and their relationship with the PTFE NPs loading in PSF were discussed. The PSF/PTFE ENMs were tested in desalination by direct contact membrane distillation (DCMD) and the obtained performance was discussed in terms of the ENMs structural characteristics. Competitive permeate fluxes, as high as 39.5 kg/m2h, with stable low permeate electrical conductivities (<7.145 μS/cm) for 30 g/L NaCl aqueous solution and transmembrane temperature of 60 °C were achieved without detecting any interfiber space wetting

Additional file 1: of The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models

Figure S1. Distribution of participants according to Kolb’s learning style model. (PDF 8 kb

Additional file 2: of The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models

Table S1. Typical learning activities in the general physiology part of the ICM class. (PDF 105 kb

Additional file 5: of The relation of dental students’ learning styles to their satisfaction with traditional and inverted classroom models

Table S4. Tests of between-subjects effects (n = 63). Analysis by general linear model-based multivariate ANOVA. (PDF 87 kb

sj-docx-1-sgo-10.1177_21582440211069386 – Supplemental material for The Evolutionary Pattern of Language in English Fiction Over the Last Two Centuries: Insights From Linguistic Concreteness and Imageability

Supplemental material, sj-docx-1-sgo-10.1177_21582440211069386 for The Evolutionary Pattern of Language in English Fiction Over the Last Two Centuries: Insights From Linguistic Concreteness and Imageability by Kun Sun and Rong Wang in SAGE Open</p

The Proteomic Response of <i>Mycobacterium smegmatis</i> to Anti-Tuberculosis Drugs Suggests Targeted Pathways

Mycobacterium smegmatis is a fast-growing model mycobacterial system that shares many features with the pathogenic Mycobacterium tuberculosis while allowing practical proteomics analysis. With the use of shotgun-style mass spectrometry, we provide a large-scale analysis of the M. smegmatis proteomic response to the anti-tuberculosis (TB) drugs isoniazid, ethambutol, and 5-chloropyrazinamide and elucidate the drugs’ systematic effects on mycobacterial proteins. A total of 2550 proteins were identified with ∼5% false-positive identification rate across 60 experiments, representing ∼40% of the M. smegmatis proteome (∼6500 proteins). Protein differential expression levels were estimated from the shotgun proteomics data, and 485 proteins showing altered expression levels in response to drugs were identified at a 99% confidence level. Proteomic comparison of anti-TB drug responses shows that translation, cell cycle control, and energy production are down-regulated in all three drug treatments. In contrast, systems related to the drugs’ targets, such as lipid, amino acid, and nucleotide metabolism, show specific protein expression changes associated with a particular drug treatment. We identify proteins involved in target pathways for the three drugs and infer putative targets for 5-chloropyrazinamide