Miracle-dz/UniFAR-FTUs huggingface dataset:
rise and fall of St. Louis Encephalitis Virus in Florida

St. Louis encephalitis virus has had a fascinating history in Florida. The virus was introduced into the Miami area in the early 1950s. This introduction resulted in two human outbreaks, one in 1952 and a second in 1958. Three urban SLE epidemics were reported in the Tampa Bay area in 1959, 1961, and 1962. The virus virtually disappeared from the state until 1977 when a widespread rural SLE epidemic was reported in 20 Florida counties with 110 confirmed human cases. An almost identical rural SLE epidemic was reported in 1990 when 226 human SLE cases were reported in 28 Florida counties. Following the introduction of West Nile virus into Florida in 2001, reports of SLEV transmission to sentinel chickens and humans decreased dramatically. Except for a 2014 focal outbreak of two SLE cases in Duval County, only sporadic transmission of SLEV to humans and sentinel chickens was reported in the state between 1998 and 2022.
Bad Questions

Depending on whether one marks the birth of item response theory (IRT) with seminal articles by Thurstone (1925) and Symonds (1929), or with Lawley’s (1943) description of the use of maximum likelihood for the computation of scores, IRT is between 70 and 90 years old. Most say it made it to the mainstream, if a couple hundred people comprise a ‘‘mainstream,’’ with the publication of Lord and Novick’s (1968) Statistical Theories of Mental Test Scores, which makes the last 4 to 5 decades the second half of IRT’s history. I have dabbled with aspects of IRT during that second half of its history, and in the past couple decades that has led to occasions on which I have been called upon to consult or serve on technical advisory committees for assessment programs that use IRT. When I first had such opportunities, I had the good fortune of advice from Lyle V. Jones, certainly one of the most skilled among consultants and committee members. He told me that the first thing to do in any new context is to figure out the purpose of the assessment, because everything should follow from that; Howard Wainer has given similar advice. I generalize that to inquire what the purposes of using IRT might be in the contexts of assessments of educational achievement, and I have come to the conclusion that there are usually two:
The cost of Indigenous cultural safety training: examining facilitator burnout and the impacts on health and wellness

This research represents an in-depth exploration of the lived experience, demands and risks of facilitating Indigenous cultural safety and the impact it has on the health and wellness of Indigenous cultural safety facilitators. Using Indigenous and qualitative methodologies, this study gathered data from 11 Indigenous cultural safety facilitators in the Vancouver Island and Vancouver regions through in-depth interviews. Issues around training, preparation, boundaries and capacity within Indigenous cultural safety spaces were examined, as well as the resistance, harm, violence, emotional taxation, hardships and burnout often experienced by Indigenous cultural safety facilitators. With a focus on how facilitating Indigenous cultural safety affects physical, emotional, mental and spiritual wellness, as well as emphasizing the high risk of burnout, this research demonstrates that Indigenous cultural safety environments can be unsafe for Indigenous cultural safety facilitators and exposes a need to explore further how social and structural supports can better protect the health and wellness of Indigenous cultural safety facilitators.
A comparison of methods for the measurement of adherence to antihypertensive multidrug therapy and the clinical consequences: a retrospective cohort study using the Korean nationwide claims database

OBJECTIVES In observational studies, the methods used to measure medication adherence may affect assessments of the clinical outcomes of drug therapy. This study estimated medication adherence to multidrug therapy in patients with hypertension using different measurement methods and compared their impacts on clinical outcomes. METHODS This was a retrospective cohort study using the Korean National Health Insurance Service–National Sample Cohort database (2006-2015). Adults diagnosed with hypertension who initiated multidrug antihypertensive therapy in the index year 2007 were included. Adherence was defined as over 80% compliance. Adherence to multidrug antihypertensive therapy was measured in 3 ways using the proportion of days covered (PDC) with 2 approaches to the end-date of the study observations: PDC with at least one drug (PDCwith≥1), PDC with a duration weighted mean (PDCwm), and the daily polypharmacy possession ratio (DPPR). The primary clinical outcome was a composite of cardiovascular and cerebrovascular disease-specific hospitalizations or all-cause mortality. RESULTS In total, 4,226 patients who initiated multidrug therapy for hypertension were identified. The mean adherence according to the predefined measurements varied from 72.7% to 79.8%. Non-adherence was associated with an increased risk of a primary outcome. The hazard ratios (95% confidence intervals, CIs) primary outcomes varied from 1.38 (95% CI, 1.19 to 1.59) to 1.44 (95% CI, 1.25 to 1.67). CONCLUSIONS Non-adherence to multidrug antihypertensive therapy was significantly associated with an increased risk of a primary clinical outcome. Across the varying estimates based on different methods, medication adherence levels were similar. These findings may provide evidence to support decision-making when assessing medication adherence.
Effectiveness of a question formulation rubric with second-year medical students: a randomized controlled trial

Objective: The FAC (Focus, Amplify, Compose) rubric for assessing medical students' question formulation skills normally accompanies our Evidence Based Practice (EBP) training. The combined training and assessment rubric have improved student scores significantly. How much does the rubric itself contribute to improved student scores? This study sought to measure student improvement using the rubric either with or without a linked 25-minute training session. Methods: Randomized Controlled Trial. The authors tested the hypothesis that a 25-minute training session combined with use of a rubric would lead to higher scores than a brief explanation of this rubric alone. All 72 participating second-year medical students had a question formulation rubric briefly explained to them following a pre-test. Students in the intervention groups were taught how to formulate EBP questions for 25 minutes using the rubric followed with another 30 minutes of EBP search training. Students in the control group only received the 30 minutes of EBP search training in their small group labs. All 72 students took the post-test in which they formulated a question in response to a clinical vignette. Statistical analysis to test the hypothesis consisted of a two-sample paired t-test to measure between-group differences. Discussion: Both the intervention and control groups performed significantly better on the post-test for question formulation skills than on the pre-test. When analyzed by extent of individual improvement between pre- and post-tests using a two-sample paired t-test for between group differences, the control group students receiving only a brief explanation of the rubric performed the same statistically (intervention 37.7 versus 37.4 control) as the intervention group students who received the same brief explanation followed by a 25-minute active learning training session. Thus, the results provided no support of the hypothesis that the extra 25-minute training improved post-test scores. The rubric itself contributed similarly to the intervention groups students' improvement as the combined rubric and training for control group students. This finding could potentially save scarce curricular time. Key Messages: The FAC question formulation rubric and training significantly improves medical students' EBP question quality. The FAC rubric coupled with only a 5-minute explanation can be effective. In a crowded medical school curriculum, the rubric and brief explanation might save valued time for other purposes.
A Novel Framework for Semi-supervised Multiple-label Image Classification using Multi-stage CNN and Visual Attention Mechanism

—To train deep neural networks effectively, a lot of labeled data is typically needed. However, real-time applications make it difficult and expensive to acquire high-quality labels for the data because it takes skill and knowledge to accurately annotate multiple label images. In order to enhance classification performance, it is also crucial to extract image features from all potential objects of various sizes as well as the relationships between labels of numerous label images. The current approaches fall short in their ability to map the label dependencies and effectively classify the labels. They also perform poor to label the unlabeled images when small amount of labeled images available for classification. In order to solve these issues, we suggest a new framework for semi-supervised multiple object label classification using multi-stage Convolutional neural networks with visual attention (MSCNN)and GCN for label co-occurrence embedding(LCE) (MSCNN-LCE-MIC), which combines GCN and attention mechanism to concurrently capture local and global label dependencies throughout the entire image classification process. Four main modules make up MSCNN-LCE-MIC: (1) improved multi-label propagation method for labeling largely available unlabeled image; (2) a feature extraction module using multi-stage CNN with visual attention mechanism that focuses on the connections between labels and target regions to extract accurate features from each input image; (3) a label co-existence learning that applies GCN to discover the associations between different items to create embeddings of label co-occurrence; and (4) an integrated multi-modal fusion module. Numerous tests on MS-COCO and PASCAL VOC2007 show that MSCNN-LCE-MIC significantly improves classification efficiency on mAP 84.3% and 95.8% respectively when compared to the most recent existing methods.
Effects of charge carrier trapping on polycrystalline PbO x-ray imaging detectors

The effects of charge carrier trapping on the x-ray sensitivity, resolution, and detective quantum efficiency (DQE) in polycrystalline lead oxide (PbO) x-ray imaging detectors are theoretically analyzed. The theoretical models for calculating carrier trapping-limited x-ray sensitivity and modulation transfer function (MTF), and DQE incorporating polyenergetic x-ray spectrum are described. A cascaded linear system model is developed for calculating the spatial frequency f dependent DQE of PbO detectors by incorporating the effects of bulk charge carrier trapping on the MTF and the x-ray interaction depth dependent charge collection efficiency and noise. The theoretical calculations are compared with the published experimental data and show a very good agreement. From the fittings of the sensitivity and MTF curves, the electron and hole ranges in polycrystalline PbO are found to be 3.5×10−7 and ∼10−8 cm2/V, respectively. The f dependent noise power spectrum NPS(f) and DQE(f) performances are analyzed as a f.
College Student's Perception toward " Peduli Lindungi" Application through the Usability Scale Method

The Covid-19 pandemic that occurred in Indonesia had an impact on various sectors such as education, health, and the economy. These impacts provide enormous losses for the community as well as the government. The government has issued many policy instruments to suppress the impact caused by the Covid-19 pandemic. One of the policies made by the government as a form of dealing with the Covid-19 pandemic is to create an application that functions as a tool for tracking people's movements. This government-made Application is called the Peduli Lindungi application [3]. The Ministry of Communication and Informatics develops the Peduli Lindungi application, the Ministry of Health, the Ministry of SOEs, and the National Disaster Management Agency (BNPB). At first, the Care for Protect application was named TraceTogether. The Peduli Lindungi application's primary function is to digitally detect and identify location data and community information in supervising the handling of Covid-19 [4]. This Peduli Lindungi application is used at almost all levels of Indonesian society, including students. Students who incidentally are the generation who are familiar with the Application are expected to be able to use the Care Protect application quickly. Still, it is necessary to measure the feasibility of the system to find out students' views on the feasibility of the existing system in the Care Protect application. This study uses quantitative methods with data analysis tools using the System Usability Scale (SUS) method. Of the 73 respondents who took part in the survey, all of whom are application users and students, it is known that the usability of the Peduli Lindungiapplication in the eyes of students is still not good.
A Review of the Recent Progress on Crowd Anomaly Detection

— Surveillance videos are crucial in imparting public security, reducing or avoiding the accidents that occur from anomalies. Crowd anomaly detection is a rapidly growing research field that aims to identify abnormal or suspicious behavior in crowds. This paper provides a comprehensive review of the state-of-the-art in crowd anomaly detection and, different taxonomies, publicly available datasets, challenges, and future research directions. The paper first provides an overview of the field and the importance of crowd anomaly detection in various applications such as public safety, transportation, and surveillance. Secondly, it presents the components of crowd anomaly detection and its different taxonomies based on the availability of labels, and the type of anomalies. Thirdly, it presents the review of the recent progress of crowd anomaly detection. The review also covers publicly available datasets commonly used for evaluating crowd anomaly detection methods. The challenges faced by the field, such as handling variability in crowd behavior, dealing with large and complex data sets, and addressing the imbalance of data, are discussed. Finally, the paper concludes with a discussion of future research directions in crowd anomaly detection, including integrating multiple modalities, addressing privacy concerns, and addressing crowd monitoring systems’ ethical and legal implications.
Competition and Local Government's Choice Between Informal and Formal Collaborative Mechanisms: Measuring Dyadic Intercity Competition Through the Lens of Business Trade-Offs

Informal and formal collaborative mechanisms are distinctive self-governing strategies that local governments use to mitigate intergovernmental collaboration risks. Studies on local governance have long argued that both mechanisms tend to co-occur and appear mutually complementary. However, extant research drawing on the transaction cost perspective provides a more nuanced and different explanation that as intergovernmental competition increases, local governments lean toward the choice of a formal mechanism over an informal mechanism to effectively address higher collaboration risks. Through a network lens, this study empirically tests the latter view. Using the Orlando metropolitan area as a testbed, Multiple Regression Quadratic Assignment Procedure tests reveal that the use of both collaborative mechanisms is positively associated with the level of intergovernmental competition. However, different from the initial expectation, local governments are more likely to engage in the informal mechanism rather than the formal mechanism as the competition level increases. In doing so, this study developed a new measurement strategy for intergovernmental competition to test the dyadic network-related research hypotheses. The measurement strategy and the research findings should inform future research on intergovernmental relations and local government network management.
Estimating Permeability and Its Scale Dependence at Pore Scale Using Renormalization Group Theory

Investigating hydraulic and petrophysical properties of porous media has been an active area of research. Despite numerous progress in modeling flow and transport over the past decades, we are still far from accurately estimating the scale dependence of soil and rock properties. In this study, we propose applying renormalization group theory (RGT) at the pore scale. Using the RGT, we determine the scale dependence of effective pore‐throat radius (rteff) and develop two theoretical models to estimate permeability (k) in pore networks of various sizes. The first theoretical model estimates k(L) from the rteff(L) and simulated formation factor F(L), while the second model uses information at the smallest scale (L = Lmin) in addition to rteff(L) and F(L). By comparing with 25 pore‐network simulations, we show that the RGT estimates the scale‐dependent k reasonably well. The first model estimates k(L) with average relative errors ranged between −53.1% and −3.0%, while the second model between −1.0% and 14.33%. We also conduct fluid flow simulations in 40 other pore networks above the representative elementary volume and compare the results of the RGT with those of the effective‐medium approximation (EMA). Results showed that both RGT and EMA accurately estimate k from pore‐throat radius distribution and formation factor with root mean square log‐transformed error = 0.119 and 0.096, respectively.
THE FERMI LARGE AREA TELESCOPE ON ORBIT: EVENT CLASSIFICATION, INSTRUMENT RESPONSE FUNCTIONS, AND CALIBRATION

The Fermi Large Area Telescope (Fermi-LAT, hereafter LAT), the primary instrument on the Fermi Gamma-ray Space Telescope (Fermi) mission, is an imaging, wide field-of-view, high-energy γ-ray telescope, covering the energy range from 20 MeV to more than 300 GeV. During the first years of the mission, the LAT team has gained considerable insight into the in-flight performance of the instrument. Accordingly, we have updated the analysis used to reduce LAT data for public release as well as the instrument response functions (IRFs), the description of the instrument performance provided for data analysis. In this paper, we describe the effects that motivated these updates. Furthermore, we discuss how we originally derived IRFs from Monte Carlo simulations and later corrected those IRFs for discrepancies observed between flight and simulated data. We also give details of the validations performed using flight data and quantify the residual uncertainties in the IRFs. Finally, we describe techniques the LAT team has developed to propagate those uncertainties into estimates of the systematic errors on common measurements such as fluxes and spectra of astrophysical sources.
Spatial orientation, postural control and the vestibular system in healthy elderly and Alzheimer’s dementia

Background While extensive research has been advancing our understanding of the spatial and postural decline in healthy elderly (HE) and Alzheimer’s disease (AD), much less is known about how the vestibular system contributes to the spatial and postural processing in these two populations. This is especially relevant during turning movements in the dark, such as while walking in our garden or at home at night, where the vestibular signal becomes central. As the prevention of falls and disorientation are of serious concern for the medical service, more vestibular-driven knowledge is necessary to decrease the burden for HE and AD patients with vestibular disabilities. Overview of the article The review briefly presents the current “non-vestibular based” knowledge (i.e. knowledge based on research that does not mention the “vestibular system” as a contributor or does not investigate its effects) about spatial navigation and postural control during normal healthy ageing and AD pathology. Then, it concentrates on the critical sense of the vestibular system and explores the current expertise about the aspects of spatial orientation and postural control from a vestibular system point of view. The norm is set by first looking at how healthy elderly change with age with respect to their vestibular-guided navigation and balance, followed by the AD patients and the difficulties they experience in maintaining their balance or during navigation. Conclusion Vestibular spatial and vestibular postural deficits present a considerable disadvantage and are felt not only on a physical but also on a psychological level by all those affected. Still, there is a clear need for more (central) vestibular-driven spatial and postural knowledge in healthy and pathological ageing, which can better facilitate our understanding of the aetiology of these dysfunctions. A possible change can start with the more frequent implementation of the “vestibular system examination/rehabilitation/therapy” in the clinic, which can then lead to an improvement of future prognostication and disease outcome for the patients.
Deep regressor stacking to learn molecular quantum properties

A multi-task model with high robustness is indispensable to resolve the inter-target dependence of molecular properties. Beyond the newly proposed stacked single target method, this paper aims to introduce a novel multi-task learning framework in a deep regressor stacking approach to produce a higher predictive accuracy. For the two datasets of interest, OE62 and QM9, we compared the performance of the deep regressor stacking to the single-task model. The new model shows 1 to 4% error reductions compared with the independent models, and the prediction accuracies are consistently improved across different tasks. Further studies on the selective deep stacking scheme show an additional enhancement of the prediction accuracies, indicating a great potential of the deep stacked framework in forecasting the correlated properties.
Perceptions of practicum actors in the primary teacher education practicum program

Abstract This study looked at the perceptions of the three practicum actors (prospective teachers, placement school teachers (mentors), and teacher educators (tutors) of the primary teacher education practicum program of the Amhara Region, Ethiopia. To that end, a mixed methods approach with a concurrent design was utilized. The quantitative data were collected from randomly selected 799 participants (290 prospective teachers, 252 placement school teachers, and 257 teacher educators) using a survey questionnaire; while the qualitative data were garnered using interviews and focus group discussions from 60 practicum actors. The data were analyzed quantitatively using mean, standard deviation, one sample t-test, and one-way ANOVA and qualitatively using descriptions and narrations. The findings revealed that although teaching practicum is supposed to be an imperative aspect of teacher learning that is instrumental to putting theories into practice, the overall perception of the three practicum actors was lower than the expected level. By far, student teachers’ and placement school teachers’ level of understanding of the basic assumptions of practicum in line with the reflective practitioner model of teacher education was minimal. Knowledge is still considered as transferring from the teacher to students, learning as receiving, and teaching as a process of transferring knowledge. Hence, continuous awareness creation on the basic assumptions of the reflective practitioner model of practicum and its core values is required. Besides, there should be a structure formed carefully of experts in teacher education to lead the program through strong school-college link and collaborative work of the hosting schools and teacher education colleges.