Failure analysis of the lithium battery: A study of the header deposit on the cell top and diffusion within the electrode glass seal using nuclear microanalysis and FFTIR spectroscopy

The Solid Rocket Booster Range Safety System (SRBRSS) uses a lithium/poly-carbon monofluoride primary battery as a source of electrical power. After cell fabrication and activation, some battery cells have shown self discharge. One possible source of this cell discharge has been suggested to be the formation and growth of a conducting crystallized chemical compound across the glass bead insulator, electrically shorting the glass bead to the casing. This laboratory has begun an analysis of this compound, the glass seal holding the cathode into place, and the cell electrolyte, using Fast Fourier Transform Infrared (FFTIR) Analysis, Rutherford Backscattering Spectroscopy (RBS), and Nuclear Reaction Microanalysis. Preliminary measurements have confirmed the existence of lithium, nitrogen, fluorine, and oxygen on a reddish-brown deposit covering parts of the glass seal holding the positive electrode in place. Cells using Li metal electrodes, have many advantages over conventional primary batteries. One principal disadvantage of using Li batteries on a commercial basis would be the environmental impact of the fluorocarbon material. Another would be the relatively high expense of (CF)n

Image findings of cranial nerve pathology on [18F]-2- deoxy-D-glucose (FDG) positron emission tomography with computerized tomography (PET/CT): a pictorial essay.

This article aims to increase awareness about the utility of (18)F -FDG-PET/CT in the evaluation of cranial nerve (CN) pathology. We discuss the clinical implication of detecting perineural tumor spread, emphasize the primary and secondary (18)F -FDG-PET/CT findings of CN pathology, and illustrate the individual (18)F -FDG-PET/CT CN anatomy and pathology of 11 of the 12 CNs

Correlation of End-Tidal Carbon Dioxide with Arterial Carbon Dioxide in Mechanically Ventilated Patients

Background:: Patients undergone mechanical ventilation need rapid and reliable evaluation of their respiratory status. Monitoring of End-tidal carbon dioxide (ETCO2) as a surrogate, noninvasive measurement of arterial carbon dioxide (PaCO2) is one of the methods used for this purpose in intubated patients. Objectives:: The aim of the present trial was to study the relationship between end-tidal CO2 tensions with PaCO2 measurements in mechanically ventilated patients. Materials and Methods:: End-tidal carbon dioxide levels were recorded at the time of arterial blood gas sampling. Patients who were undergoing one of the mechanical ventilation methods such as: synchronized mandatory mechanical ventilation (SIMV), continuous positive airway pressure (CPAP) and T-Tube were enrolled in this study. The difference between ETCO2 and PaCO2 was tested with a paired t-test. The correlation of end-tidal carbon dioxide to (ETCO2) CO2 was obtained in all patients. Results:: A total of 219 arterial blood gases were obtained from 87 patients (mean age, 71.7 ± 15.1 years). Statistical analysis demonstrated a good correlation between the mean of ETCO2 and PaCO2 in each of the modes of SIMV, CPAP and T-Tube; SIMV (42.5 ± 17.3 and 45.8 ± 17.1; r = 0.893, P < 0.0001), CPAP (37 ± 9.7 and 39.4 ± 10.1; r = 0.841, P < 0.0001) and T-Tube (36.1 ± 9.9 and 39.4 ± 11; r = 0.923, P < 0.0001), respectively. Conclusions:: End-tidal CO2 measurement provides an accurate estimation of PaCO2 in mechanically ventilated patients. Its use may reduce the need for invasive monitoring and/or repeated arterial blood gas analyses

The connected brain: Causality, models and intrinsic dynamics

Recently, there have been several concerted international efforts - the BRAIN initiative, European Human Brain Project and the Human Connectome Project, to name a few - that hope to revolutionize our understanding of the connected brain. Over the past two decades, functional neuroimaging has emerged as the predominant technique in systems neuroscience. This is foreshadowed by an ever increasing number of publications on functional connectivity, causal modeling, connectomics, and multivariate analyses of distributed patterns of brain responses. In this article, we summarize pedagogically the (deep) history of brain mapping. We will highlight the theoretical advances made in the (dynamic) causal modelling of brain function - that may have escaped the wider audience of this article - and provide a brief overview of recent developments and interesting clinical applications. We hope that this article will engage the signal processing community by showcasing the inherently multidisciplinary nature of this important topic and the intriguing questions that are being addressed

Structure function calculations for Ostwald Ripening processes

A program for computing the structure function for configurations involved in Ostwald Ripening was written. The basic algorithms are derived from a mathematical analysis of a two-dimensional model system developed by Bortz, et. al. (1974). While it is expected that the values form the computer simulations will reflect Ostwald Ripening, at this point the program is still being tested. Some preliminary runs seem to justify the expectations

ERP System Solutions for Small Companies: Readiness & Selection

Over the past decade almost all of major businesses in the US have implemented Enterprise Resource Planning (ERP) systems to run daily business operations.  However, a complex ERP system, if not implemented properly,  can easily disrupt, or sometimes cripple, the flow  of the manufacturing  and other operations.  While large organizations  are in a  unique position  to implement  a good     RP  system,  most  small  companies  cannot  afford  the acquisition  and implementation cost of a big name ERP system. Therefore, smaller organizations rely on vendors with affordable, but not necessarily proven, ERP systems. To help small businesses avoid implementation problems and system glitches after ERP implementation, two proactive initiaves are recommended. ERP readiness and ERP selection. This article organizes a checklist for each initiative so that small companies are better prepared to overcome implementation challenges and their expectations are more aligned with the norm of an ERP implementation

Determinasi Peran dan Strategi Pengembangan Pusat Pelatihan Mandiri Kelautan dan Perikanan di Kalimantan Selatan

Pengkajian ini merupakan penelitian kualitatif dengan menggunakan desain eksploratori dalam penentuan prioritas terhadap peran dan alternatif strategi pengembangan P2MKP didasarkan atas bobot prioritas atau kepentingannya dengan menggunakan metode Analytical Hierarchy Process (AHP). Keterpaduan antara program pelatihan P2MKP dengan penyelenggaraan penyuluhan” merupakan strategi yang paling diprioritaskan dalam membangun sinergitas P2MKP dengan penyelenggaraan penyuluhan perikanan, dengan bobot 31,52%, kemudian strategi “pengikutsertaan koordinator penyuluh daerah sebagai pembina P2MKP”, dengan bobot 28,56% sebagai prioritas kedua, dan strategi “sebagian instruktur berasal dari penyuluh perikanan” dengan bobot 24,17% sebagai strategi prioritas ketiga dalam membangun sinergitas P2MKP dengan penyelenggaraan penyuluhan perikanan. Dari beberapa strategi pengembangan P2MKP yang dapat dilakukan dalam rangka mendukung proses peningkatan kompetensi sumber daya manusia kelautan dan perikanan: Strategi “pengikutsertaan/ peningkatan peran penyuluh perikanan” merupakan strategi pengembangan P2MKP yang paling diprioritaskan, kemudian strategi “optimalisasi penyelenggaraan pelatihan” sebagai prioritas kedua, dan strategi “pembangunan kemitraan strategis” sebagai strategi prioritas ketiga

Dynamic causal modelling of mitigated epidemiological outcomes

This technical report describes the rationale and technical details for the dynamic causal modelling of mitigated epidemiological outcomes based upon a variety of timeseries data. It details the structure of the underlying convolution or generative model (at the time of writing on 6-Nov-20). This report is intended for use as a reference that accompanies the predictions in following dashboard: https://www.fil.ion.ucl.ac.uk/spm/covid-19/dashboar