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#EEGManyLabs: Investigating the replicability of influential EEG experiments
Get PDFThere is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations
Using artificial neural network and fuzzy inference system based prediction to improve failure mode and effects analysis: A case study of the busbars production
Get PDFNowadays, Busbars have been extensively used in electrical vehicle industry. Therefore, improving the risk assessment for the production could help to screen the associated failure and take necessary actions to minimize the risk. In this research, a fuzzy inference system (FIS) and artificial neural network (ANN) were used to avoid the shortcomings of the classical method by creating new models for risk assessment with higher accuracy. A dataset includes 58 samples are used to create the models. Mamdani fuzzy model and ANN model were developed using MATLAB software. The results showed that the proposed models give a higher level of accuracy compared to the classical method. Furthermore, a fuzzy model reveals that it is more precise and reliable than the ANN and classical models, especially in case of decision making
An overview of drugs for the treatment of Mycobacterium kansasii pulmonary disease
Get PDFObjectives: The aim of this study was to determine and compare the efficacy of drugs to treat Mycobacterium kansasii (Mkn) pulmonary disease by performing minimum inhibitory concentration (MIC) determination and time-kill studies. Methods: We determined the MICs to 13 drugs against the Mkn standard laboratory strain ATCC 12478 and 20 clinical isolates and performed time-kill studies with 18 drugs from different classes using the standard laboratory strain of Mkn. The β-lactam antibiotics were tested with or without the combination of the β-lactamase inhibitor avibactam. An inhibitory sigmoid Emax model was used to describe the relationship between drug concentrations and bacterial burden. Results: Among the 13 tested drugs in the MIC experiments, the lowest MIC was recorded for bedaquiline. Among the 18 drugs used in the time-kill studies, maximum kill with cefdinir, tebipenem, clarithromycin, azithromycin, moxifloxacin, levofloxacin, tedizolid, bedaquiline, pretomanid and telacebac was greater than that for some of the drugs (isoniazid, rifampicin and ethambutol) used in standard combination therapy. Conclusion: We report preclinical data on the efficacy and potency of drugs that can potentially be repurposed to create a safe, effective and likely shorter-duration regimen for the treatment of Mkn pulmonary disease
Without a Net
No full textWithout a Net is a substantial reworking of my earliest attempt, in 2008, to create a “refined” solo piano concert work based on free improvisations captured and transcribed with the help of MIDI software. An avid devotee of improvisation since the mid-1980s, I’ve long been fascinated by the question of what may be gained – or lost! – from the application of rigorous compositional techniques (judgment, development, revision and so on) to the bright, unpredictable flames of spontaneous creation. In works such as Without a Net, the aim is for such distinctions to ultimately fall away, leaving a music that feels at once fresh and immediate, yet also carefully structured. The original 2008 score of Without a Net not only utilized various transcribed improvisations, but also left sizable “gaps” to be filled creatively during the performance – hence the title! A number of such “filled gaps” from the most successful 2008 performance, at Old South Church in Boston, have themselves been transcribed and edited to figure in this fully notated 2020 version. All passages of transcribed improvisation are clearly labeled in the score. Perhaps in the end, all of this is neither here nor there? Either way, I had a lot of fun and hope that listeners will too. Enjoy
Business Meeting & Virtual Lunch
No full textCollege Music Society-South Central Region Chapter business meeting and virtual luncheon
Development and Improvement of Fluorescent OLED Structures
Get PDFOLEDs (organic light-emitting diodes) typically suffer energy loss when the drive or current voltage is increased, leading to decreased external quantum efficiencies (EQE) at higher voltages, which are required to attain high brightness levels. This drop is fundamental due to the molecular excited and relaxed (light emission) states. When potential, or current, is increased, a large amount of the emitting molecules in the emissive layer (EML) are excited. When the excitation migrates across the layer there is the chance it could collide with another exciton already on the molecule, or on an electron or hole that is transiting the EML. This collision results in the de-excitation of one or two of the excited states, resulting in the loss of efficiency - this is called exciton annihilation” or quenching and this process also leads to molecule degradation and a decrease in OLED lifetime. Therefore, it is important to develop structures that are resistant to exciton annihilation and substance degradation. The goal of this specific research project was to develop and test fluorescent OLEDs. This poster will discuss several device structure types that were researched to look at their effect on the exciton flow through doping concentrations and thickness gradients
Variable Gene Suppression in the Superbug
No full textA presentation of Variable Gene Suppression in the Superbug by Dustin Esmond
Artificial Neural Network Model to Predict the Fatigue Endurance Limit for Asphalt Concrete Pavement
Get PDFArtificial Neural Networks (ANN) are the highly interconnected structures which have strong computational and pattern recognition abilities utilizing simple processing units (artificial neurons) that have the ability to carry out multiple parallel computations. Fatigue is one of the major distresses occurring in asphalt concrete pavement caused by repeated traffic loading that results in escalated structural damage with the formation of cracks. These cracks allow the moisture to seep inside the pavement layer that results into potholes. Potholes and cracks results in damage of vehicles (tires, suspension, steering and body), increases the fuel consumption, increases vehicle delay cost and maintenance cost while lowering the quality of ride. Hence, this paper puts forward a model to predict endurance limit strain values by using ANN in MATLAB along with a standalone equation for predicting endurance limit strain value by using uniaxial tension-compression fatigue test results conducted under NCHRP Project 9-44 A
Election Integrity: Jim Crow in a Suit and Tie?
Get PDFAmerica is witnessing a crisis of democracy unseen since the times of the Civil Rights Era. In spite of unprecedented voter turnout in the South, the number of voters that express doubt in the 2020 election, mingled with fear of widespread, nonexistent, voter fraud has resulted in the introduction of new voting regulations across southern legislatures. These laws will only serve to suppress the vote in large swathes of the southern population. Researching these laws and tracing their history back to the Shelby County decision by the Supreme Court to gut the Voting Rights Act, helps to unravel the reason that voter suppression is seeing a new surge in the south
Continuous monitoring of wound healing with a novel four-in-one smart wound patch
No full textReal-time monitoring of wounds is critical to facilitate timely and effective management of chronic wounds. The traditional wound dressings fail to indicate the infection status of wounds due to the lack of timely monitoring of the wound site. A smart wound patch that integrates electronic circuits on a flexible substrate can overcome this challenge through real-time wound-monitoring, infection diagnosis, and on-demand therapy. Here, we report a four-in-one intelligent wound patch that will provide in-situ monitoring of the pH and three key biochemicals present at the wound site, namely, uric acid and two cytokines. Chronic non-healing wounds have shown elevated levels of pH and the mentioned biomolecules, which lower as the wound heals. Our smart wound patch will allow quantitative assessments of wound healing status and initiate on-demand treatment. To realize the smart wound patch, we are developing a low-cost screen-printed electrochemical sensor that is composed of four working electrodes (for detecting pH, uric acid, and two cytokines), one common counter electrode, and one common reference electrode. The working electrodes will be modified with coatings for selective detection of pH, uric acid, and two cytokines. The integrated biosensor is designed on a medical gauge and hence is oxygen permeable, maintains a moisturized environment, and covers the wound area with no discomfort or irritation. Future endeavors include integrating an intelligent and regulated drug delivery system with our wound patch that will monitor the wound status and release drugs on-demand to assist the healing process. This research holds great promise in wound management and treatment, through continuous monitoring of wound site and release of drugs accordingly