Miracle-dz/UniFAR-FTUs huggingface dataset:
Favorable Outcome

Background. HCQ-induced cardiomyopathy occurs due to prolonged therapy with HCQ. For favorable outcome prompt diagnosis, immediate discontinuation of HCQ, and use of suitable alternatives is necessary for comprehensive management. Case presentation. Here we report a case of cardiomyopathy most likely due to prolonged HCQ therapy in a 29-years-old primigravida with well-controlled discoid lupus and hypertension and no other known cardiac illness. The patient was successfully managed with standard drugs used for heart failure. She was treated by a multidisciplinary team involving obstetricians and cardiologists. Repeat echocardiogram and ultrasonography was used to assess the wellbeing of mother and fetus. Elective caesarean section at 34 weeks of gestation was opted by the team. Conclusions. Both the mother and baby had favorable outcomes and discharged on 3rd postoperative day. Follow up after two weeks revealed well compensated cardiac status.
The Role of Digital Storytelling in EFL Students’ Writing Skill and Motivation

Digital storytelling (DST) is one of the areas which has entered the field of foreign language education and has proved to be beneficial in learning different language skills. However, it remains underexplored whether and how DST can affect learners’ writing skill and motivation to write. The present study sought to investigate the impact of DST on young EFL learners’ writing skill and motivation to write through mixing quantitative and qualitative research methods. The data were collected through pre- and post-tests of writing and interviews from 22 EFL learners. The learners were asked to create digital stories based on the pre-taught topics, vocabulary, and structures in their course book within a 10-week implementation process. In addition, structured interviews were carried out to investigate the impact of DST on the learners’ motivation. The result was a proof to the efficiency of DST in improving the learners’ writing skill. Also, the thematic analysis of the interview data indicated that employing DST had a positive impact on young EFL learners’ attitude toward writing and increased their motivation. The primary takeaway from this study is that DST can provide a more favourable and enjoyable teaching context to instruct writing to EFL learners.
Electronic Health Record Use Issues and Diagnostic Error: A Scoping Review and Framework

Background Diagnostic errors are a major source of patient harm, most of which are caused by cognitive errors and biases. Despite research showing the relationship between software systems and cognitive processes, the impact of the electronic health record (EHR) on diagnostic error remains unknown. Methods We conducted a scoping review of the scientific literature to (1) survey the association between aspects of the EHR and diagnostic error, and (2) through a human-systems integration lens, identify the types of EHR issues and their impact on the stages of the diagnostic process. Results We analyzed 11 research articles for the relationship between EHR use and diagnostic error. These articles highlight specific technical, usability, and workflow issues with the EHR that pose risks for diagnostic error at every stage of the diagnostic process. Discussion Although technical problems such as EHR interoperability and data integrity pose critical issues for the diagnostic process, usability and workflow issues such as poor display design, and inability to track test results also hamper clinicians’ ability to track, process, and act in the diagnostic process. Current research methods have limited coverage over clinical settings, are not standardized, and rarely include measures of patient harm. Conclusions The available evidence shows that EHRs pose risks for diagnostic error throughout the diagnostic process, with most issues involving their incompatibility with providers’ cognitive processing. A structured and systematic model of collecting and reporting on these errors is needed to understand how the EHR shapes the diagnostic process and improve diagnostic accuracy.
Depression Symptom Patterns as Predictors of Metabolic Syndrome and Cardiac Events in Symptomatic Women with Suspected Myocardial Ischemia: The Women’s Ischemia Syndrome Evaluation (WISE and WISE-CVD) Projects

Background: Ischemic heart disease (IHD) risk in women includes biomedical, behavioral, and psychosocial contributors. The purpose of this study was to build upon previous research suggesting that in women, somatic symptoms (SS) of depression may be important to the development of IHD risk factors and major adverse cardiovascular events (MACE). Based on previous findings, we hypothesized that: (1) SS would be associated with robust biomedical predictors of heart disease and functional capacity, while cognitive symptoms (CS) of depression would not, and (2) SS would independently predict adverse health outcomes while CS would not. Methods: We examined the relationships between symptoms of depression (SS/CS), metabolic syndrome (MetS), inflammatory markers (IM), coronary artery disease (CAD) severity, and functional capacity in two independent cohorts of women with suspected IHD. In the Women's Ischemia Syndrome Evaluation (WISE), we also examined these variables as predictors of all-cause mortality (ACM) + MACE over a median 9.3-year follow-up. The WISE sample included 641 women with suspected ischemia with or without obstructive CAD. The WISE-Coronary Vascular Dysfunction (WISE-CVD) sample consisted of 359 women with suspected ischemia and no obstructive CAD. All study measures were collected uniformly at baseline. Depressive symptoms were measured via the Beck Depression Inventory. MetS was assessed according to Adult Treatment Panel III (ATP-III) criteria. Results: In both studies, SS was associated with MetS (Cohen's d = 0.18, 0.26, P < 0.05, respectively), while CS was not. Within WISE, using Cox Proportional Hazard Regression, SS (Hazard ratio [HR] = 1.08, 95% confidence interval [CI] = 1.01–1.15; HR = 1.07, 95% CI = 1.00–1.13) and MetS (HR = 1.89, 95% CI = 1.16–3.08; HR = 1.74, 95% CI=1.07–2.84) were independent predictors of ACM + MACE after controlling for demographics, IM, and CAD severity, while CS was not. Conclusions: In two independent samples of women undergoing coronary angiography due to suspected ischemia, SS but not CS of depression were associated with MetS, and both SS and MetS independently predicted ACM and MACE. These results add to previous studies suggesting that SS of depression may warrant specific attention in women with elevated cardiovascular disease (CVD) risk. Future research evaluating the biobehavioral basis of the relationship between depression, MetS, and CVD is needed.
Electrocardiographic imaging demonstrates electrical synchrony improvement by dynamic atrioventricular delays in patients with left bundle branch block and preserved atrioventricular conduction

Abstract Aims Cardiac resynchronization therapy programmed to dynamically fuse pacing with intrinsic conduction using atrioventricular (AV) timing algorithms (e.g. SyncAV) has shown promise; however, mechanistic data are lacking. This study assessed the impact of SyncAV on electrical dyssynchrony across various pacing modalities using non-invasive epicardial electrocardiographic imaging (ECGi). Methods and results Twenty-five patients with left bundle-branch block (median QRS duration (QRSd) 162.7 ms) and intact AV conduction (PR interval 174.0 ms) were prospectively enrolled. ECGi was performed acutely during biventricular pacing with fixed nominal AV delays (BiV) and using SyncAV (optimized for the narrowest QRSd) during: BiV + SyncAV, LV-only single-site (LVSS + SyncAV), MultiPoint pacing (MPP + SyncAV), and LV-only MPP (LVMPP + SyncAV). Dyssynchrony was quantified via ECGi (LV activation time, LVAT; RV activation time, RVAT; LV electrical dispersion index, LVEDi; ventricular electrical uncoupling index, VEU; and biventricular total activation time, VVtat). Intrinsic conduction LVAT (124 ms) was significantly reduced by BiV pacing (109 ms) (P = 0.001) and further reduced by LVSS + SyncAV (103 ms), BiV + SyncAV (103 ms), LVMPP + SyncAV (95 ms), and MPP + SyncAV (90 ms). Intrinsic RVAT (93 ms), VVtat (130 ms), LVEDi (36 ms), VEU (50 ms), and QRSd (163 ms) were reduced by SyncAV across all pacing modes. More patients exhibited minimal LVAT, VVtat, LVEDi, and QRSd with MPP + SyncAV than any other modality. Conclusion Dynamic AV delay programming targeting fusion with intrinsic conduction significantly reduced dyssynchrony, as quantified by ECGi and QRSd for all evaluated pacing modes. MPP + SyncAV achieved the greatest synchrony overall but not for all patients, highlighting the value of pacing mode individualization during fusion optimization.
High-Q optical nanobeam cavities for label-free sensing

The design, modeling, fabrication, and experimental measurements on optical nanobeam cavities that change resonant frequency in response to changes in the refractive index of the surrounding environment are presented. Nanobeam cavities based on Silicon-On-Insulator (SOI) that work at telecommunication wavelengths (1550 nm) provide an ideal platform for label-free sensing, due to their features of high resonance Q-factors, high sensitivity and capability for integration with silicon CMOS.
MANAGEMENT FOR RESULTS AND CONTROL ACTIONS IN THE EDUCATIONAL PUBLIC POLICY OF

: From the perspective of internationalization of the modes of regulation of educational policies and school management, this article aims to discuss São Paulo’s state educational public policy between 2007 and 2018, by using authors such as Akkari (2011), Afonso (2013) and Paro (2012). For this purpose, this study presents an analysis of the concept of management in the educational policy agenda of the public school state network of São Paulo, through qualitative research on the documentary source of progra ms in force since 2007: “Reading and Writing”, “Quality of the School” and “São Paulo Makes School”, prepared by the São Paulo State Department of Education. The initiatives were justified with the narrative of improving the quality of teaching, limited to results in external evaluation and are characterized by a process of control of pedagogical work with the introduction of hyper-structured materials in all stages of teaching, prepared with public-private arrangements, the association between educational index goals, student performance in external evaluation and bonus remuneration and the role of coordinating teacher as an executor of the curriculum under technical and standardized molds. The announced improvements alleged evidence the management for results public policy, guided by a centralized control, in contrast to the prediction of active community participation and democratic management of education.
PROBLEMATIZATION ARCH FOR EDUCATIONAL HEALTH PLANNING IN NURSING STUDENTS’ PERCEPTION

: The study aimed to show the perception of Nursing students on the use of the Problematization Arch in the teaching of educational health planning. This is a descriptive qualitative study carried out with 15 undergraduate nursing students, developed at a public university in the Northern region of Brazil from April to May 2019. The researched subject is part of the second year of the Nursing degree and focuses on the development of health education. We collected data through a semi-structured interviews with guiding questions. We used the data analysis technique of Grounded Theory, separating, conceptualizing, and interconnecting the data with each other through open and axial coding. This process was developed with the help of the trial version of the program Atlas TI®. Three categories emerged from the analysis: Understanding of Active Methodology and the Arch of Maguerez; Educational Health Planning: knowledge and experience; and Arch of Maguerez in the teaching of educational health planning. Students understand and perceive the Arch of Maguerez as an eligible strategy for educational planning in health, as they ackowledge a relationship between the tools and consider that the arch proposes democratic teaching-learning relationships, values previous knowledge, and dialogues with the reality of the target audience.
Competency-centered education for designing interactive and intelligent products

Societal, scientific and technological developments are changing the field of industrial design. The field expands towards designing for intelligent systems, products and related services. If one truly likes to design such disruptive systems, we believe that it implies a specific view on and attitude towards education. The Department of Industrial Design, Eindhoven University of Technology, has been facilitating students to become professional designers in designing interactive and intelligent products, systems and related services. In order to do so, the department offers a self-directed, competency-centered education model, including both our competency framework and the reflective transformative design process, in which learning and working come together. Students learn to learn (what, how and why) and we facilitate their learning in order for them to have the ability to deal creatively and flexibly with the large amounts of constantly evolving information in our ‘knowledge era’ and become the designers of the future.
Associative Inference Can Increase People's Susceptibility to Misinformation

Associative inference is an adaptive, constructive process of memory that allows people to link related information to make novel connections. We conducted three online human-subjects experiments investigating participants’ susceptibility to associatively inferred misinformation and its interaction with their cognitive ability and how news articles were presented. In each experiment, participants completed recognition and perceived accuracy rating tasks for the snippets of news articles in a tweet format across two phases. At Phase 1, participants viewed real news only. At Phase 2, participants viewed both real and fake news. Critically, we varied whether the fake news at Phase 2 was inferred from (i.e., associative inference), associated with (i.e., association only), or irrelevant to (i.e., control) the corresponding real news pairs at Phase 1. Both recognition and perceived accuracy results showed that participants in the associative inference condition were more susceptible to fake news than those in the other conditions. Furthermore, hashtags embedded within the tweets made the obtained effects evident only for the participants of higher cognitive ability. Our findings reveal that associative inference can be a basis for individuals’ susceptibility to misinformation, especially for those of higher cognitive ability. We conclude by discussing the implications of our results for understanding and mitigating misinformation on social media platforms.
A note on the inversion of matrices by random walks

1 W. E. Milne, "The remainder in linear methods of approximation," NBS, Jn. Research, v. 43, 1949, p. 501-511. This gives a more general approach to step errors of integration formulas based upon approximation by sets of functions. * R. E. Greenwood, "Numerical integration of linear sums of exponential functions," Ann. Math. Stat., v. 20, 1949, p. 608-611. * P. Brock & F. J. Murray, "Planning and error analysis for the numerical solution of a test system of differential equations on the IBM sequence calculator," Cyclone Report, Reeves Instrument Corp., New York 28. See also F. J. Murray, "Planning and error considerations for the numerical solution of a system of differential equations on a sequence calculator," MTAC, v. 4, p. 133-144. * F. J. Murray, "Linear equation solvers," Quart. Appl. Math., v. 7, 1948, p. 263-274. * L. H. Thomas of the Watson Scientific Computing Laboratory indicated this formula for An to the authors. He also indicated that the An are equal in absolute value to the coefficients of the Adams-Bashforth method of step by step numerical integration. « W. Feller, Probability Theory. New York, 1950, v. 1, p. 52. 7 G. Birkhoff & S. MacLane, A Survey of Modern Algebra. New York, 1948, p. 424.
Extended Analysis of At Least Partially Ordered Multi‐factor ANOVA

For multifactor experimental designs in which the levels of at least one of the factors are ordered we show how to construct components that provide a deep nonparametric scrutiny of the data. The components assess generalised correlations and the resulting tests include and extend the Page and umbrella tests. Application of the tests described is straightforward. Orthonormal polynomials on the ANOVA responses and the factors are required and the formulae needed are given subsequently. These depend on the moments of the responses and of each factor and are easily calculated. Products of at least two of these orthonormal polynomials are then used as inputs into standard ANOVA routines. For example, using the first order orthonormal polynomial on factor A and the second order orthonormal polynomial on the ANOVA response will assess if, with increasing levels of factor A there is an umbrella response with either an increase and then a decrease or a decrease and then an increase.
Strong electron-phonon coupling of the high-energy modes of carbon nanotubes

We present ab initio calculations of electron-phonon coupling matrix elements of the totally symmetric high-energy vibrational modes of carbon nanotubes. The matrix elements depend on nanotube family n1−n2 mod 3, chiral angle, and the particular optical transition, similarly to the radial-breathing mode. The strength of the matrix elements of the high-energy mode is up to 6 times higher than for the radial breathing mode. We discuss the implications of our results for the Raman spectrum of nanotubes and for charge carrier relaxation.
The robustness of the systemwise breusch-godfrey autocorrelation test for non-normal distributed error terms

Using Monte Carlo methods, the properties of systemwise generalisations of the Breusch-Godfrey test for autocorrelated errors are studied in situations when the error terms follow either normal or non-normal distributions, and when these errors follow either AR(1) or MA(1) processes. Edgerton and Shukur (1999) studied the properties of the test using normally distributed error terms and when these errors follow an AR(1) process. When the errors follow a non-normal distribution, the performances of the tests deteriorate especially when the tails are very heavy. The performances of the tests become better (as in the case when the errors are generated by the normal distribution) when the errors are less heavy tailed.
Auger recombination in InGaN measured by photoluminescence

The Auger recombination coefficient in quasi-bulk InxGa1−xN (x∼9%–15%) layers grown on GaN (0001) is measured by a photoluminescence technique. The samples vary in InN composition, thickness, and threading dislocation density. Throughout this sample set, the measured Auger coefficient ranges from 1.4×10−30to2.0×10−30cm6s−1. The authors argue that an Auger coefficient of this magnitude, combined with the high carrier densities reached in blue and green InGaN∕GaN (0001) quantum well light-emitting diodes (LEDs), is the reason why the maximum external quantum efficiency in these devices is observed at very low current densities. Thus, Auger recombination is the primary nonradiative path for carriers at typical LED operating currents and is the reason behind the drop in efficiency with increasing current even under room-temperature (short-pulsed, low-duty-factor) injection conditions.
A colored-noise Fokker-Planck equation for non-Brownian particles in shear-induced diffusion

The topic of the present work are non-Brownian particles in shear flow. As reported in literature, the occurring phenomenon in this context is shear-induced diffusion which takes place in the absence of the well-known Brownian diffusion. Diffusive processes can be described stochastically in terms of a stochastic differential equation (Langevin equation or Langevin-like equation) or a differential equation for the probability density, in second order referred to as Fokker-Planck equation. It is known that in contrast to Brownian diffusion, the shear-induced diffusion is a long-time diffusion which poses a challenge to the stochastic description of this phenomenon. The present work analyzes the problem of non-Brownian particles in shear-induced diffusion with regard to the Markov property of the treated variables. This concludes that the Fokker-Planck equation so far derived in pure position space may not be sufficient. In order to ensure the Markov process property, a Fokker-Planck equation extended to coupled position colored-noise velocity space is derived. Throughout the extension, the colored-noise velocity is modeled as an Ornstein-Uhlenbeck process. These first two steps were also treated in the author’s Master thesis (Lukassen 2012). A detailed substantiation of this approach is published in (Lukassen & Oberlack 2014b) including a new multiple time scale analysis and a Gaussian solution. The multiple time scale analysis results in the dimensionless form of the equation of motion which serves as a starting point for the derivation of the new colored-noise Fokker-Planck equation. As a next step, this coupled Fokker-Planck equation is integrated over velocity space and approximated to yield a reduced position-space Fokker-Planck equation. It is shown that such a reduction as in the present work is only possible under certain conditions concerning the correlation time. The resulting position-space equation is analyzed and compared to the traditional position-space models. The reduced form exhibits additional correction terms. In an outlook, possible extensions of the presented model are discussed with exemplary simulation results. Chapter 5 and 6 as a whole are based on the author’s publication (Lukassen & Oberlack 2014b).
Adaptive output feedback control of uncertain nonlinear systems based on dynamic surface control technique

An adaptive output feedback control approach is studied for a class of uncertain nonlinear systems in the parametric output feedback form. Unlike the previous works on the adaptive output feedback control, the problem of ‘explosion of complexity’ of the controller in the conventional backstepping design is overcome in this paper by introducing the dynamic surface control (DSC) technique. In the previous schemes for the DSC technique, the time derivative for the virtual controllers is assumed to be bounded. In this paper, this assumption is removed. It can be proven that the resulting closed‐loop system is stable in the sense that all the signals are semi‐global uniformly ultimately bounded and the system output tracks the reference signal to a bounded compact set. A simulation example is given to verify the effectiveness of the proposed approach. Copyright © 2011 John Wiley & Sons, Ltd.
Robust L1-norm non-parallel proximal support vector machine

In this paper, we propose a robust L1-norm non-parallel proximal support vector machine (L1-NPSVM), which aims at giving a robust performance for binary classification in contrast to GEPSVM, especially for the problem with outliers. There are three mainly properties of the proposed L1-NPSVM. Firstly, different from the traditional GEPSVM which solves two generalized eigenvalue problems, our L1-NPSVM solves a pair of L1-norm optimal problems by using a simple justifiable iterative technique. Secondly, by introducing the L1-norm, our L1-NPSVM is more robust to outliers than GEPSVM to a great extent. Thirdly, compared with GEPSVM, no parameters need to be regularized in our L1-NPSVM. The effectiveness of the proposed method is demonstrated by tests on a simple artificial example as well as on some UCI datasets, which shows the improvements of GEPSVM.