4,979 research outputs found

    Regional variation in diagnosis, prognosis and treatment of Guillain-Barré syndrome

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    Variability in auditory processing performance is associated with reading difficulties rather than with history of otitis media

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    The nature and cause of auditory processing deficits in dyslexic individuals have been debated for decades. Auditory processing deficits were argued to be the first step in a causal chain of difficulties, leading to difficulties in speech perception and thereby phonological processing and literacy difficulties. More recently, it has been argued that auditory processing difficulties may not be causally related to language and literacy difficulties. This study compares two groups who have phonological processing impairments for different reasons: dyslexia and a history of otitis media (OM). We compared their discrimination thresholds and response variability to chronological age- and reading age-matched controls, across three auditory processing tasks: frequency discrimination, rise-time discrimination and speech perception. Dyslexic children showed raised frequency discrimination thresholds in comparison with age-matched controls but did not differ from reading age-matched controls or individuals with a history of OM. There were no group differences on speech perception or rise-time tasks. For the dyslexic children, there was an association between phonological awareness and frequency discrimination response variability, but no association with thresholds. These findings are not consistent with a ‘causal chain’ explanation but could be accounted for within a multiple deficits view of literacy difficulties

    Proceedings of the 10th International congress on architectural technology (ICAT 2024): architectural technology transformation.

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    The profession of architectural technology is influential in the transformation of the built environment regionally, nationally, and internationally. The congress provides a platform for industry, educators, researchers, and the next generation of built environment students and professionals to showcase where their influence is transforming the built environment through novel ideas, businesses, leadership, innovation, digital transformation, research and development, and sustainable forward-thinking technological and construction assembly design

    Improving diagnostic procedures for epilepsy through automated recording and analysis of patients’ history

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    Transient loss of consciousness (TLOC) is a time-limited state of profound cognitive impairment characterised by amnesia, abnormal motor control, loss of responsiveness, a short duration and complete recovery. Most instances of TLOC are caused by one of three health conditions: epilepsy, functional (dissociative) seizures (FDS), or syncope. There is often a delay before the correct diagnosis is made and 10-20% of individuals initially receive an incorrect diagnosis. Clinical decision tools based on the endorsement of TLOC symptom lists have been limited to distinguishing between two causes of TLOC. The Initial Paroxysmal Event Profile (iPEP) has shown promise but was demonstrated to have greater accuracy in distinguishing between syncope and epilepsy or FDS than between epilepsy and FDS. The objective of this thesis was to investigate whether interactional, linguistic, and communicative differences in how people with epilepsy and people with FDS describe their experiences of TLOC can improve the predictive performance of the iPEP. An online web application was designed that collected information about TLOC symptoms and medical history from patients and witnesses using a binary questionnaire and verbal interaction with a virtual agent. We explored potential methods of automatically detecting these communicative differences, whether the differences were present during an interaction with a VA, to what extent these automatically detectable communicative differences improve the performance of the iPEP, and the acceptability of the application from the perspective of patients and witnesses. The two feature sets that were applied to previous doctor-patient interactions, features designed to measure formulation effort or detect semantic differences between the two groups, were able to predict the diagnosis with an accuracy of 71% and 81%, respectively. Individuals with epilepsy or FDS provided descriptions of TLOC to the VA that were qualitatively like those observed in previous research. Both feature sets were effective predictors of the diagnosis when applied to the web application recordings (85.7% and 85.7%). Overall, the accuracy of machine learning models trained for the threeway classification between epilepsy, FDS, and syncope using the iPEP responses from patients that were collected through the web application was worse than the performance observed in previous research (65.8% vs 78.3%), but the performance was increased by the inclusion of features extracted from the spoken descriptions on TLOC (85.5%). Finally, most participants who provided feedback reported that the online application was acceptable. These findings suggest that it is feasible to differentiate between people with epilepsy and people with FDS using an automated analysis of spoken seizure descriptions. Furthermore, incorporating these features into a clinical decision tool for TLOC can improve the predictive performance by improving the differential diagnosis between these two health conditions. Future research should use the feedback to improve the design of the application and increase perceived acceptability of the approach

    An Exploration of the Relationship Between Disability Status Disclosure, Accommodation Use, and Student Success: Curricular and Co-Curricular Implications

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    Colleges and universities rely on the individualized accommodation process to ensure access for students with disabilities, however, there is ample evidence that educational inequity is pervasive. This study used a critical and comparative quantitative methodology (n=6,500) to investigate data from a large urban community college, analyzing the relationship between final grades and accommodation eligibility and use across academic disciplines and curricular modalities (in-person vs. on-line) to identify implications for the academic success of students with disabilities. Results indicate disability inequity varies across racial identity groups and racial inequity persists across disability status groups. Results also indicate that accommodation may be most impactful for students with lower cumulative grade point averages, students taking courses at the 100 level, students taking online courses, and students taking courses in disciplines such as math. There appear to be benefits to a connection with Disability Services even when students do not notify faculty of their eligibility for accommodation. Recommendations include the inclusion of disability as a demographic within institutional reporting; professional development for faculty, staff, and student leaders that goes beyond compliance to address implications of the intersections of gender, race, identity, and disability; and inclusion of disabled student voices to improve access and inclusion throughout curricular and co-curricular programs and activities

    Determination of antibiotic susceptibility of the bacteria causing urinary tract infections using a novel lab-on-a-chip design

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    Urinary tract infections (UTIs) are one of the most common types of bacterial infection in the UK, and also are expensive to treat costing the National Health Service ~£54 million between 2016 and 2017. Culture-based antibiotic susceptibility testing (AST) is used to identify an antibiotic to treat drug-resistant urinary tract infections and takes 48 hours to complete. Faster prescription of effective antibiotics should reduce the risk of sepsis and poor clinical outcomes. To address this need, we developed a Lab-on-a-Chip (LOC) based method to conduct electrochemical AST using screen-printed macroelectrodes (SPEs) and antibiotic-loaded hydrogels. SPEs were fabricated using carbon-graphite based inks, with resazurin bulk modified SPEs (R-SPEs) being fabricated through modification of the SPEs WE. Polyvinyl alcohol (PVA) based hydrogels were loaded with the following antibiotics were used; cephalexin, ceftriaxone, colistin, gentamicin, piperacillin, trimethoprim and vancomycin as well as an antibiotic-free control. LOC devices were then designed to encapsulate both the R-SPEs and the antibiotic hydrogels to enable multiplexed electrochemical AST to occur on a single device. In the initial testing of the R-SPEs and the antibiotic hydrogels independently of a LOC device, antibiotic susceptibility could be determined in 90 minutes for E. coli. After the preliminary work, eight chambered LOC devices were spiked with simulated UTI samples. Each chamber contained an R-SPE and an antibiotic hydrogel. After an incubation step, susceptibility of Escherichia coli and Klebsiella pneumoniae could be established in 85 minutes of testing which is significantly faster than the 48 hours required for conventional culture-based AST. The sensitive detection of resazurin afforded by using the electrochemical detection methodology incorporated onto a LOC device described here offers an inexpensive and simple method for the determination of antibiotic susceptibility that is faster than using a culture-based approach

    Complexity Science in Human Change

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    This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience

    Science and Innovations for Food Systems Transformation

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    This Open Access book compiles the findings of the Scientific Group of the United Nations Food Systems Summit 2021 and its research partners. The Scientific Group was an independent group of 28 food systems scientists from all over the world with a mandate from the Deputy Secretary-General of the United Nations. The chapters provide science- and research-based, state-of-the-art, solution-oriented knowledge and evidence to inform the transformation of contemporary food systems in order to achieve more sustainable, equitable and resilient systems

    Specificity of the innate immune responses to different classes of non-tuberculous mycobacteria

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    Mycobacterium avium is the most common nontuberculous mycobacterium (NTM) species causing infectious disease. Here, we characterized a M. avium infection model in zebrafish larvae, and compared it to M. marinum infection, a model of tuberculosis. M. avium bacteria are efficiently phagocytosed and frequently induce granuloma-like structures in zebrafish larvae. Although macrophages can respond to both mycobacterial infections, their migration speed is faster in infections caused by M. marinum. Tlr2 is conservatively involved in most aspects of the defense against both mycobacterial infections. However, Tlr2 has a function in the migration speed of macrophages and neutrophils to infection sites with M. marinum that is not observed with M. avium. Using RNAseq analysis, we found a distinct transcriptome response in cytokine-cytokine receptor interaction for M. avium and M. marinum infection. In addition, we found differences in gene expression in metabolic pathways, phagosome formation, matrix remodeling, and apoptosis in response to these mycobacterial infections. In conclusion, we characterized a new M. avium infection model in zebrafish that can be further used in studying pathological mechanisms for NTM-caused diseases
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