Real time thermal imaging of high temperature semiconductor melts

A real time thermal imaging system with temperature resolution better than + or - 1 C and spatial resolution of better than 0.5 mm was developed and applied to the analysis of melt surface thermal field distributions in both Czochralski and liquid encapsulated Czochralski (LEC) growth configurations. The melt is viewed in near normal incidence by a high resolution charge coupled device camera to which is attached a very narrow bandpass filter. The resulting image is digitized and processed using a pipelined pixel processor operating at an effective 40 million operations per second thus permitting real time high frequency spatial and temporal filtering of the high temperature scene. A multi-pixel averaging algorithm was developed which permits localized, low noise sensing of temperature variations at any location in the hot zone as a function of time. This signial is used to implement initial elements of a feedforward growth control scheme which is aimed at reducing disturbances to the melt caused by the batch nature of the growth process. The effect of magnetic melt stabilization on radial melt temperature distributions was measured using this technique. Problems associated with residual internal reflections and non-optimized path geometry are discussed

Use of anomolous thermal imaging effects for multi-mode systems control during crystal growth

Real time image processing techniques, combined with multitasking computational capabilities are used to establish thermal imaging as a multimode sensor for systems control during crystal growth. Whereas certain regions of the high temperature scene are presently unusable for quantitative determination of temperature, the anomalous information thus obtained is found to serve as a potentially low noise source of other important systems control output. Using this approach, the light emission/reflection characteristics of the crystal, meniscus and melt system are used to infer the crystal diameter and a linear regression algorithm is employed to determine the local diameter trend. This data is utilized as input for closed loop control of crystal shape. No performance penalty in thermal imaging speed is paid for this added functionality. Approach to secondary (diameter) sensor design and systems control structure is discussed. Preliminary experimental results are presented

Microgravity: a Teacher's Guide with Activities, Secondary Level

This NASA Educational Publication is a teacher's guide that focuses on microgravity for the secondary level student. The introduction answers the question 'What is microgravity?', as well as describing gravity and creating microgravity. Following the introduction is a microgravity primer which covers such topics as the fluid state, combustion science, materials science, biotechnology, as well as microgravity and space flight. Seven different activities are described in the activities section and are written by authors prominent in the field. The concluding sections of the book include a glossary, microgravity references, and NASA educational resources

Microgravity: A Teacher's Guide With Activities in Science, Mathematics, and Technology

The purpose of this curriculum supplement guide is to define and explain microgravity and show how microgravity can help us learn about the phenomena of our world. The front section of the guide is designed to provide teachers of science, mathematics, and technology at many levels with a foundation in microgravity science and applications. It begins with background information for the teacher on what microgravity is and how it is created. This is followed with information on the domains of microgravity science research; biotechnology, combustion science, fluid physics, fundamental physics, materials science, and microgravity research geared toward exploration. The background section concludes with a history of microgravity research and the expectations microgravity scientists have for research on the International Space Station. Finally, the guide concludes with a suggested reading list, NASA educational resources including electronic resources, and an evaluation questionnaire

Near-Infrared Analysis and Process Control of Pharmaceutical Pelletization Processes

This study explored the potential of near-infrared spectroscopy in the determination of pharmaceutical pellet characteristics and to predict desired process endpoints during fluidized bed drug suspension layering and coating operations. Various strengths of diltiazem HCl pellets were prepared via a tangential-spray rotogranulation process and subsequently coated Eudragit RS30D in a Wurster column. In-line and at-line near-IR process monitoring methods were evaluated. Quantitative calibrations for potency, applied polymer solids and dissolution were developed using several different regression models. Both in-line and at-line determinations of pellet potency were effectively accomplished with average standard errors of prediction of 1.11% and 0.63%, respectively. Near-IR prediction of pellet potency of pilot-scale batches was also achieved using data from laboratory-scale experiments. For Wurster coating operations, in-line and at-line near-IR regression models for predicting applied polymer solids were developed which demonstrated R2 values of 0.98 or greater and standard errors of calibration less than 0.6%. Prediction of a t50% dissolution metric within 7 minutes of actual values was possible for pellets exhibiting 8 to 12 hour release characteristics. Qualitative assessment of applied polymer solids was also accomplished using Mahalanobis distance and bootstrap pattern recognition algorithms. This study has demonstrated the potential of near-IR spectroscopy in quantitative and qualitative assessment of pelletized pharmaceutical product characteristics and in the identification of process endpoints. Future implementation of these techniques could potentially reduce production cycle-times associated with the acquisition of laboratory test results and ensure product quality compliance throughout various stages pellet manufacturing

From terror to pride: Supporting faculty through a blended learning community of transformation during the COVID-19 pandemic

The COVID-19 pandemic and the shift to remote, blended, and online teaching and learning presented universities around the world with myriad challenges. This rapid shift into uncharted territory, however, also created an opportunity for faculty developers to lead exploration of new pedagogies, challenging teaching assumptions. In this article, we share the story of how a center for teaching and learning led the shift to remote and blended learning through a community of transformation (Kezar et al., 2018). We share results from a survey of faculty following multiple professional development opportunities and explore themes that emerged from interviews with six instructors representing a range of disciplines and experience in remote and blended teaching. We conclude by offering our design elements to consider when pursuing faculty development as a potentially transformative learning experience (Mezirow, 1991)

Calmodulin and PF6 are components of a complex that localizes to the C1 microtubule of the flagellar central apparatus

Studies of flagellar motility in Chlamydomonas mutants lacking specific central apparatus components have supported the hypothesis that the inherent asymmetry of this structure provides important spatial cues for asymmetric regulation of dynein activity. These studies have also suggested that specific projections associated with the C1 and C2 central tubules make unique contributions to modulating motility; yet, we still do not know the identities of most polypeptides associated with the central tubules. To identify components of the C1a projection, we took an immunoprecipitation approach using antibodies generated against PF6. The pf6 mutant lacks the C1a projection and possesses flagella that only twitch; calcium-induced modulation of dynein activity on specific doublet microtubules is also defective in pf6 axonemes. Our antibodies specifically precipitated five polypeptides in addition to PF6. Using mass spectrometry, we determined the amino acid identities of these five polypeptides. Most notably, the PF6-containing complex includes calmodulin. Using antibodies generated against each precipitated polypeptide, we confirmed that these polypeptides comprise a single complex with PF6, and we identified specific binding partners for each member of the complex. The finding of a calmodulin-containing complex as an asymmetrically assembled component of the central apparatus implicates the central apparatus in calcium modulation of flagellar waveform

Analysis of Microtubule Sliding Patterns in Chlamydomonas Flagellar Axonemes Reveals Dynein Activity on Specific Doublet Microtubules

Generating the complex waveforms characteristic of beating eukaryotic cilia and flagella requires spatial regulation of dynein-driven microtubule sliding. To generate bending, one prediction is that dynein arms alternate between active and inactive forms on specific subsets of doublet microtubules. Using an in vitro microtubule sliding assay combined with a structural approach, we determined that ATP induces sliding between specific subsets of doublet microtubules, apparently capturing one phase of the beat cycle. These studies were also conducted using high Ca2+ conditions. InChlamydomonas, high Ca2+ induces changes in waveform which are predicted to result from regulating dynein activity on specific microtubules. Our results demonstrate that microtubule sliding in high Ca2+ buffer is also induced by dynein arms on specific doublets. However, the pattern of microtubule sliding in high Ca2+ buffer significantly differs from that in low Ca2+. These results are consistent with a ‘switching hypothesis’ of axonemal bending and provide evidence to indicate that Ca2+ control of waveform includes modulation of the pattern of microtubule sliding between specific doublets. In addition, analysis of microtubule sliding in mutant axonemes reveals that the control mechanism is disrupted in some mutants

Jennifer A Wargo, Nadim J Ajami, and Carrie R Daniel-MacDougall

Dr. Jennifer A. Wargo, Dr. Nadim J. Ajami, and Dr. Carrie R. Daniel-MacDougall describe their academic and clinical work on the role of the microbiome to determine response to immunotherapies and discuss current challenges and potential needs to integrate their findings into clinical practice