The conversion of biomass to biofuels presents a solution to one of the largest global challenges of our era, climate change. A critical part of this pipeline is the process of breaking down cellulosic sugars from plant matter to be used by microbes containing biosynthetic pathways that produce biofuels or bioproducts. In this inquiry-based course, students complete a research project that isolates cellulase-producing bacteria from samples collected from the environment. After obtaining isolates, the students characterize the production of cellulases. Students then amplify and sequence the 16S rRNA genes of confirmed cellulase producers and use bioinformatic methods to identify the bacterial isolates. Throughout the course, students learn about the process of generating biofuels and bioproducts through the deconstruction of cellulosic biomass to form monosaccharides from the biopolymers in plant matter. The program relies heavily on active learning and enables students to connect microbiology with issues of sustainability. In addition, it provides exposure to basic microbiology, molecular biology, and biotechnology laboratory techniques and concepts. The described activity was initially developed for the Introductory College Level Experience in Microbiology (iCLEM) program, a research-based immersive laboratory course at the US Department of Energy Joint BioEnergy Institute. Originally designed as an accelerated program for high-potential, low-income, high school students (11th–12th grade), this curriculum could also be implemented for undergraduate coursework in a research-intensive laboratory course at a two- or four-year college or university.
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Microbial biofilms impact economically important processes ranging from water treatment to nosocomial infections. Understanding their ecology is a key step in learning how to manipulate them. A feature that changed scientists' understanding of microbial biofilms was the discovery of their three-dimensional heterogeneous structure, which occurred primarily with the advent of the confocal laser scanning microscope (CLSM) (1). It was recognized that handling attached populations of cells prior to imaging would distort their structure, principally owing to shear forces at the air-liquid interface tearing the biofilm (2). Consequently, flow cells that facilitated nondestructive imaging of biofilms were developed by several groups.
We present an analysis of the finite deformation of an annular memberane induced by the rotation of a rigid hub. The memberane is partly wrinkled for certain combinations of hub radius and rotation angle. For a particular strain-energy function of harmonic type, we obtain solutions that are analytical in the sense that the problem is reduced to an algebraic system in three parameters. Solutions of this system are used to characterize various properties of the deformation, including the equilibrium torque-twist relation.
the body configuration in (b). The goal of this work is to recover human body configurations from static images. Without assuming a priori knowledge of scale, pose or appearance, this problem is extremely challenging and demands the use of all possible sources of information. We develop a framework which can incorporate arbitrary pairwise constraints between body parts, such as scale compatibility, relative position, symmetry of clothing and smooth contour connections between parts. We detect candidate body parts from bottom-up using parallelism, and use various pairwise configuration constraints to assemble them together into body configurations. To find the most probable configuration, we solve an Integer Quadratic Programming problem with a standard technique using linear approximations. Approximate IQP allows us to incorporate much more information than the traditional dynamic programming and remains computationally efficient. 15 hand-labeled images are used to train the low-level part detector and learn the pairwise constraints. We show test results on a variety of images. 1.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Chloride ion‐induced breakdown of the passive films on polycrystal and single‐crystal (100) nickel surfaces was studied in terms of the film breakdown potential and induction time as a function of chloride concentration. The film was grown in a deaerated chloride‐free borate buffer solution at to a constant thickness of 4.5 mC/cm2, and and were determined potentiodynamically and potentiostatically, respectively, after injecting chloride ion into the solution. The film breakdown potential was found to increase linearly with the potential scan rate, and the critical pitting potential (the breakdown potential at zero scan rate) decreased linearly with . The presence of grain boundaries on the polycrystal surface decreases the intercept of the relationship slightly, but did not significantly change the slope. The intercepts are higher than most of the values reported in the literature, although the slope is similar to previously found values. The induction time for pit nucleation on the two crystal forms for was found to decrease with increasing potential. The experimental data are analyzed in terms of the halide nuclei and point defect models for passivity breakdown.