Failure Artifact Scenarios to Understand High School Students' Growth in Troubleshooting Physical Computing Projects

Debugging physical computing projects provides a rich context to understand cross-disciplinary problem solving that integrates multiple domains of computing and engineering. Yet understanding and assessing students' learning of debugging remains a challenge, particularly in understudied areas such as physical computing, since finding and fixing hardware and software bugs is a deeply contextual practice. In this paper we draw on the rich history of clinical interviews to develop and pilot "failure artifact scenarios" in order to study changes in students' approaches to debugging and troubleshooting electronic textiles (e-textiles). We applied this clinical interview protocol before and after an eight-week-long e-textiles unit. We analyzed pre/post clinical interviews from 18 students at four different schools. The analysis revealed that students improved in identifying bugs with greater specificity, and across domains, and in considering multiple causes for bugs. We discuss implications for developing tools to assess students' debugging abilities through contextualized debugging scenarios in physical computing

Applications of lignin in the agri-food industry

Of late, valorization of agri-food industrial by-products and their sustainable utilization is gaining much contemplation world-over. Globally, 'Zero Waste Concept' is promoted with main emphasis laid towards generation of minimal wastes and maximal utilization of plantbased agri-food raw materials. One of the wastes/by-products in the agri-food industry are the lignin, which occurs as lignocellulosic biomass. This biomass is deliberated to be an environmental pollutant as they offer resistance to natural biodegradation. Safe disposal of this biomass is often considered a major challenge, especially in low-income countries. Hence, the application of modern technologies to effectively reduce these types of wastes and maximize their potential use/applications is vital in the present day scenario. Nevertheless, in some of the high-income countries, attempts have been made to efficiently utilize lignin as a source of fuel, as a raw material in the paper industry, as a filler material in biopolymer based packaging and for producing bioethanol. However, as of today, agri-food industrial applications remains significantly underexplored. Chemically, lignin is heterogeneous, bio-polymeric, polyphenolic compound, which is present naturally in plants, providing mechanical strength and rigidity. Reports are available wherein purified lignin is established to possess therapeutic values; and are rich in antioxidant, anti-microbial, anti-carcinogenic, antidiabetic properties, etc. This chapter is divided into four sub-categories focusing on various technological aspects related to isolation and characterization of lignin; established uses of lignin; proved bioactivities and therapeutic potentials of lignin, and finally on identifying the existing research gaps followed by future recommendations for potential use from agri-food industrial wastes.Theme of this chapter is based on our ongoing project- Valortech, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 810630

DATA PREPARATION ON LARGE DATASETS FOR DATA SCIENCE

 According to interviews and experts, data scientists spend 50-80% of the valuable time in the mundane task of collecting and preparing structured or unstructured data, before it can be explored for useful analysis. It is very valuable for a data scientist to restructure and refine the data into more meaningful datasets, which can be used further for analytics. Hence, the idea is to build a tool which will contain all the required data preparation techniques to make data well-structured by providing greater flexibility and easy to use UI. Tool will contain different data preparation techniques which will include the process of data cleaning, data structuring, transforming data, data compression, and data profiling and implementation of related machine learning algorithms

µPIXE for a µBrain: The vinegar fly’s brain, antenna, sensilla hairs and eye ion concentrations

The vinegar fly Drosophila melanogaster is used as model organism to study a variety of different scientific purposes. Thus, our laboratory studies the olfactory system by neurobiological experiments. These techniques are often disruptive and need to compensate or exchange the body fluid, the lymph, with an artificial Ringer’s solution in defined compartments of the fly. The solution mainly contains Na, Cl, K and Ca and is to keep physiological conditions. Therefore, the knowledge about the ion concentrations in the respective Drosophila lymph is required for a correct mixture of the ions. This paper presents the spatially resolved concentrations of P, S, Cl, K, Ca, Fe, Cu and Zn in lyophilised head cryosections of Drosophila by using quantitative μPIXE at the ion beam facility LIPSION in Leipzig. The PIXE maps enable a detailed analysis of particular regions of interest down to a spatial resolution of 0.5 μm. We quantified the ion concentrations especially in the brain, the antenna and its sensilla hairs acting as the olfactory organ of the fly, in the compound eye and in the mouthparts. The averaged element concentrations of these main compartments are (in descending order): P: 90 mM, K: 81 mM, S: 38 mM, Cl: 18 mM, Ca: 4.9 mM, Fe: 1.4 mM, Zn: 1.2 mM, Cu: 0.06 mM. Certain structures or cavities possess a remarkably high concentration of particular elements and might reflect the different functions of the compartments. An example presented in more detail is the composition of the compound eye. Conclusively, our findings on the ion concentrations might be useful for the mixture of the Drosophila Ringer’s solution to ensure physiological conditions in experiments

3D analysis of an induced atherosclerotic lesion in a murine artery by PIXE stacking

Quantitative three dimensional analysis is possible, in principle, by PIXE tomography. But, the inherent problems in quantitation, restrictions on the sample geometry and preparation, and specimen damage due to high fluences make this method unsuitable for many biological samples. The specimen under investigation, a murine artery, was around a millimeter in diameter and the induced atherosclerotic lesion was spread few hundreds of micrometers across the length of the artery. Since no tomographic experiments were possible, we chose to do the 3D quantitative analysis by means of PIXE Stacking. Herein, thin serial sections of the specimen are prepared and measured by conventional ion beam techniques. The resultant two dimensional quantitative element maps are stacked and aligned to reconstruct a quantitative volume of the specimen. Although the reconstructed dimension has poorer spatial resolution as compared with the measured dimensions, new information can still be gained from it. The three dimensional element distribution of the atherosclerotic lesion shows calcification on the outer surface of the artery, which otherwise would not have been easily visible in the two dimensional analysis

Biomedical research at LIPSION--Present state and future developments

Since its commissioning in 1998 the high energy ion nanoprobe LIPSION has been developed into a versatile tool for a variety of applications in biomedical research. It includes quantitative trace element analysis with sub-micron spatial resolution and 3D-element imaging, as well as 2D- and 3D-microscopy of density distributions. The analytical methods base on particle induced X-ray emission spectrometry (PIXE) and PIXE-tomography, Rutherford backscattering spectrometry (RBS), as well as scanning transmission ion microscopy (STIM) and STIM-tomography. The continuous developments led to improved capabilities for trace element analysis. For sub-micron analysis the spatial resolution could be improved to 0.3 μm for high resolution work and to 0.5 μm for routine analysis. On the other hand, LIPSION was optimized for high sample throughput in quantitative element imaging maintaining a lateral resolution of 1–2 μm. Recently the methods of PIXE- and STIM-tomography of biological specimens have been extended to limited angle tomography to avoid the complicated preparation of free-standing samples. Besides its analytical applications, the nanoprobe is also used for targeted irradiation of living cells with counted single ions for radiobiological research. It is capable of irradiating up to 20,000 cells per hour. Furthermore, we have developed a technique to achieve confined cell growth based on the proton beam writing technique (PBW) and agar. The paper presents an overview of the current biomedical research fields at LIPSION and gives an outlook on prospective developments

Myelin and iron concentration in the human brain: A quantitative study of MRI contrast

During the last five years ultra-high-field magnetic resonance imaging (MRI) has enabled an unprecedented view of living human brain. Brain tissue contrast in most MRI sequences is known to reflect mainly the spatial distributions of myelin and iron. These distributions have been shown to overlap significantly in many brain regions, especially in the cortex. It is of increasing interest to distinguish and identify cortical areas by their appearance in MRI, which has been shown to be feasible in vivo. Parcellation can benefit greatly from quantification of the independent contributions of iron and myelin to MRI contrast. Recent studies using susceptibility mapping claim to allow such a separation of the effects of myelin and iron in MRI. We show, using post-mortem human brain tissue, that this goal can be achieved. After MRI scanning of the block with appropriate T1 mapping and T2* weighted sequences, we section the block and apply a novel technique, proton induced X-ray emission (PIXE), to spatially map iron, phosphorus and sulfur elemental concentrations, simultaneously with 1 μm spatial resolution. Because most brain phosphorus is located in myelin phospholipids, a calibration step utilizing element maps of sulfur enables semi-quantitative ex vivo mapping of myelin concentration. Combining results for iron and myelin concentration in a linear model, we have accurately modeled MRI tissue contrasts. Conversely, iron and myelin concentrations can now be estimated from appropriate MRI measurements in post-mortem brain samples

Materials analysis and modification at LIPSION--Present state and future developments

The LIPSION laboratory which became operational in 1998 has been improved in numerous ways since that time in order to enhance its capabilities in materials analysis and modification as well as life sciences. This paper summarizes the modifications and improvements made and gives a description of the present state with a detailed list of the technical specifications. The capabilities of LIPSION are illustrated by selected examples from our recent research in materials sciences. Finally a prospect on future developments is given, i.e. the new octupole correction lens and the low noise in-vacuum preamplifier which are expected to further increase the performance of the Leipzig ion nanoprobe