On Identifying Disaster-Related Tweets: Matching-based or Learning-based?

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone (e.g., providing assistance) would help first responders, decision makers, and the public to understand the situation first-hand. Effective use of such information requires timely selection and analysis of tweets that are relevant to a particular disaster. Even though abundant tweets are promising as a data source, it is challenging to automatically identify relevant messages since tweet are short and unstructured, resulting to unsatisfactory classification performance of conventional learning-based approaches. Thus, we propose a simple yet effective algorithm to identify relevant messages based on matching keywords and hashtags, and provide a comparison between matching-based and learning-based approaches. To evaluate the two approaches, we put them into a framework specifically proposed for analyzing disaster-related tweets. Analysis results on eleven datasets with various disaster types show that our technique provides relevant tweets of higher quality and more interpretable results of sentiment analysis tasks when compared to learning approach

Role of expectation and working memory constraints in Hindi comprehension: An eyetracking corpus analysis

We used the Potsdam-Allahabad Hindi eye-tracking corpus to investigate the role of word-level and sentence-level factors during sentence comprehension in Hindi. Extending previous work that used this eye-tracking data, we investigate the role of surprisal and retrieval cost metrics during sentence processing. While controlling for word-level predictors (word complexity, syllable length, unigram and bigram frequencies) as well as sentence-level predictors such as integration and storage costs, we find a significant effect of surprisal on first-pass reading times (higher surprisal value leads to increase in FPRT). Effect of retrieval cost was only found for a higher degree of parser parallelism. Interestingly, while surprisal has a significant effect on FPRT, storage cost (another prediction-based metric) does not. A significant effect of storage cost shows up only in total fixation time (TFT), thus indicating that these two measures perhaps capture different aspects of prediction. The study replicates previous findings that both prediction-based and memory-based metrics are required to account for processing patterns during sentence comprehension. The results also show that parser model assumptions are critical in order to draw generalizations about the utility of a metric (e.g. surprisal) across various phenomena in a language

Four Flats Poster

Poster for a Four Flats reunion concerts at Porland Civic Auditorium, Oregon. 1 page, black and white.https://digitalcommons.georgefox.edu/fourflats_papers/1014/thumbnail.jp

Coronavirus disease 2019 (COVID-19) excess mortality outcomes associated with pandemic effects study (COPES): A systematic review and meta-analysis

Background and aimWith the Coronavirus Disease 2019 (COVID-19) pandemic continuing to impact healthcare systems around the world, healthcare providers are attempting to balance resources devoted to COVID-19 patients while minimizing excess mortality overall (both COVID-19 and non-COVID-19 patients). To this end, we conducted a systematic review (SR) to describe the effect of the COVID-19 pandemic on all-cause excess mortality (COVID-19 and non-COVID-19) during the pandemic timeframe compared to non-pandemic times.MethodsWe searched EMBASE, Cochrane Database of SRs, MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Cochrane Controlled Trials Register (CENTRAL), from inception (1948) to December 31, 2020. We used a two-stage review process to screen/extract data. We assessed risk of bias using Newcastle-Ottawa Scale (NOS). We used Critical Appraisal and Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology.ResultsOf 11,581 citations, 194 studies met eligibility. Of these studies, 31 had mortality comparisons (n = 433,196,345 participants). Compared to pre-pandemic times, during the COVID-19 pandemic, our meta-analysis demonstrated that COVID-19 mortality had an increased risk difference (RD) of 0.06% (95% CI: 0.06–0.06% p < 0.00001). All-cause mortality also increased [relative risk (RR): 1.53, 95% confidence interval (CI): 1.38–1.70, p < 0.00001] alongside non-COVID-19 mortality (RR: 1.18, 1.07–1.30, p < 0.00001). There was “very low” certainty of evidence through GRADE assessment for all outcomes studied, demonstrating the evidence as uncertain.InterpretationThe COVID-19 pandemic may have caused significant increases in all-cause excess mortality, greater than those accounted for by increases due to COVID-19 mortality alone, although the evidence is uncertain.Systematic review registration[https://www.crd.york.ac.uk/prospero/#recordDetails], identifier [CRD42020201256]

A comparative evaluation of fatigue resistance of two different implant overdenture stud attachments with two different denture base materials: An in vitro study

Introduction: The two implant-supported overdentures have overcome the retention and stability-related problems of conventional mandibular denture. Stud attachments are widely available, less expensive, and easy to use. Aims and Objectives: To determine fatigue resistance of two different stud attachments with two denture base materials – autopolymerizing and heat cure acrylic resin till 4320 cycles simulating 03 years of service. Materials and Methods: Stud implant overdenture attachments, i.e., ball and socket and Dalla Bona attachments were tightened over the implants in two different mandibular edentulous base models. The housings were incorporated with both direct (chairside) and indirect (laboratory) technique into conventional mandibular dentures. These overdentures were subjected to continuous removal and insertion on Universal Testing Machine till 4320 cycles simulating 3 years of service assuming that patient takes out denture, 4 times in a day. The fatigue resistance was calculated for 0, 1440 (1 year), 2800 (2 years), and 4320 (3 years) cycles. Unpaired and paired t-tests were applied to find the level of significance. Results: Ball and socket attachments housed with heat cure acrylic resin (indirect technique) had the highest values of fatigue resistance at all cycles. Following were Dalla Bona attachments with autopolymerizing acrylic resin (direct technique), ball and socket attachments with autopolymerizing acrylic resin (direct technique), and Dalla Bona attachments with heat cure acrylic resin (indirect technique) as per statistical analysis. Conclusion: Two implant-supported mandibular overdenture with ball and socket attachments incorporated by indirect technique showed higher values in terms of retention and absence of disengagement/fracture of components

Autoantibodies in rheumatoid arthritis: association with severity of disease in established RA

Introduction: Autoantibodies in rheumatoid arthritis (RA) are useful both for diagnosis and prognosis. Antibodies directed against citrullinated antigens have recently been shown to predict development of RA as well as poor outcome in early arthritis. Data on their role in established RA is limited. We studied the association of various autoantibodies in RA with its severity. Materials and methods: A total of one hundred and twenty nine-patients with established RA was enrolled and sera were collected and stored at -70° C. Data regarding erosions, deformities, and extra-articular features were collected. IgM rheumatoid factor (RF) was measured using nephelometry and value above 20 U was considered positive. IgA RF was measured by enzyme-linked immunosorbent assay (ELISA) and value above the mean± 2 SD of normal healthy control was taken as positive. Anti-keratin antibody (AKA) was detected by indirect immunofluorescence assay using rat esophagus as substrate. Anti-cyclic citrullinated peptide (CCP) antibodies were measured by commercial ELISA and a value above 5 U was considered as positive. Results: The prevalence of various autoantibodies was: IgM RF 82.2%, anti-CCP antibodies 82.2%, AKA 51.9%, and anti IgA RF 45%. The concordance rate of anti-CCP antibodies with IgM RF was 83%, with AKA 68%, and with IgA RF 60.5%. All but one patient positive for AKA were positive for anti-CCP antibodies. The presence of IgM RF, AKA, and anti-CCP antibody was associated with joint erosions and deformities. None of the antibodies had any association with presence of extra-articular features. No association of IgA RF was seen with erosions, deformities, or extra-articular features. Among 23 seronegative RA patients, 11 were positive for anti-CCP antibodies and 6 were AKA positive. The presence of anti-CCP antibodies was associated with presence of deformities (p<0.05). Conclusion: Anti-CCP antibodies are present in majority of patients with established RA including seronegative patients. Both anti-CCP and AKA, in addition to conventional marker like IgM RF, are associated with severe erosive disease

Angiomatous malformation: a rare cause of recurrent swelling of the knee joint

Angiomatous malformation of the muscle around the knee joint is an extremely uncommon cause of recurrent swelling of the joint. We report a case of a 13-year-old boy who presented with recurrent episodes of knee joint swelling. Though the history and physical examination was typical, magnetic resonance imaging clinched the diagnosis