Miracle-dz/UniFAR-FTUs huggingface dataset:
Multimorbidity in randomized controlled trials of behavioral interventions: A systematic review.

OBJECTIVE As the population with multiple chronic conditions (MCC) increases, it is essential that randomized controlled trials (RCTs) consider MCC. Behavioral interventions have the potential to positively impact MCC patient outcomes; however, a comprehensive review of consideration of MCC in these trials has not been conducted. The purpose of this systematic review is to determine the frequency with which participants with MCC are represented in behavioral intervention RCTs targeting chronic illness published 2000-2014. METHOD MEDLINE and EMBASE were searched from 2000 to 2014 to identify RCTs testing behavioral interventions among adults with chronic illness. A random sampling selection process was performed to identify 600 eligible studies representative of the literature. Two reviewers independently extracted information on consideration of MCC in eligibility criteria and evaluated the reporting and consideration of MCC in trial analyses. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias Tool. RESULTS In 600 behavioral intervention RCTs, targeting MCC was rare (4.3%). Exclusion of MCC was common (68.3%) and was done through general, specific, or vague exclusion criteria. 218 (36.3%) trials reported presence of MCCs through general or condition-specific measures. Comorbidities were only considered in 4.8% of all trial analyses. CONCLUSIONS In this comprehensive systematic review of 600 studies published from 2000-2014, RCTs testing behavioral interventions rarely consider individuals with MCC, limiting generalizability. Given the public health relevance and limited evidence base, this work highlights the urgent need to improve the consideration of MCC in clinical trial research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Geodesic flow on SO(4), kac-moody Lie algebra and singularities in the complex t-plane

The article studies geometrically the Euler-Arnold equations associated to geodesic flow on $SO(4)$ for a left invariant diagonal metric. Such metric were first introduced by Manakov \cite{17} and extensively studied by Mishchenko-Fomenko \cite{18} and Dikii \cite{6}. An essential contribution into the integrability of this problem was also made by Adler-van Moerbeke \cite{4} and Haine \cite{8}. In this problem there are four invariants of the motion defining in $\Bbb{C}^{4}=\operatorname{Lie}(SO(4)\otimes \Bbb{C})$ an affine Abelian surface as complete intersection of four quadrics. The first section is devoted to a Lie algebra theoretical approach, based on the Kostant-Kirillov coadjoint action. This method allows us to linearizes the problem on a two-dimensional Prym variety $\operatorname{Prym}_{\sigma }(C)$ of a genus 3 Riemann surface $C$. In section 2, the method consists of requiring that the general solutions have the Painleve property, i.e., have no movable singularities other than poles. It was first adopted by Kowalewski \cite{10} and has developed and used more systematically \cite{3}, \cite{4}, \cite{8}, \cite{13}. From the asymptotic analysis of the differential equations, we show that the linearization of the Euler-Arnold equations occurs on a Prym variety $\operatorname{Prym}_{\sigma }(G)$ of an another genus 3 Riemann surface $G$. In the last section the Riemann surfaces are compared explicitly.
Active Learning for Segment-based Emotion Analysis System

Emotion detection is one of the challenging tasks in the fine-grained sentiment analysis fields. Traditional approaches focus on supervised learning with features based on surface word forms, without linguistic structure data, existing sparse problems and cannot mine implicit information including collocation and semantic prosody,which result in poor performance, especially for identifying implicit emotion expression. To improve the performance of emotion detection system,this paper deals with assigning Ekman’s six basic emotion tags to sentences in Chinese written text. Baseline supervised system is developed based on segment based unit, and an active learning strategy using unlabeled data is presentedto improve the performance of baseline supervised system. Experimental evaluation shows that our active learning procedure helps to improve the classification accuracy.
Epigenetic mechanisms related to cognitive decline during aging

Cognitive decline is a hallmark of the aging nervous system, characterized by increasing memory loss and a deterioration of mental capacity, which in turn creates a favorable context for the development of neurodegenerative diseases. One of the most detrimental alterations that occur at the molecular level in the brain during aging is the modification of the epigenetic mechanisms that control gene expression. As a result of these epigenetic‐driven changes in the transcriptome most of the functions of the brain including synaptic plasticity, learning, and memory decline with aging. The epigenetic mechanisms altered during aging include DNA methylation, histone modifications, nucleosome remodeling, and microRNA‐mediated gene regulation. In this review, we examine the current evidence concerning the changes of epigenetic modifications together with the molecular mechanisms underlying impaired neuronal gene transcription during aging. Herein, we discuss the alterations of DNA methylation pattern that occur in old neurons. We will also describe the most prominent age‐related histone posttranslational modifications in the brain since changes in acetylation and methylation of specific lysine residues on H3 and H4 are associated to functional decline in the old. In addition, we discuss the role that changes in the levels of certain miRNAs would play in cognitive decline with aging. Finally, we provide an overview about the mechanisms either extrinsic or intrinsic that would trigger epigenetic changes in the aging brain, and the consequences of these changes, i.e., altered transcriptional profile and reactivation of transposable elements in old brain.
Multicenter Preclinical Validation of BET Inhibition for the Treatment of Pulmonary Arterial Hypertension.

RATIONALE Pulmonary arterial hypertension (PAH) is a degenerative arteriopathy that leads to right ventricular (RV) failure. Bromodomain-containing protein 4 (BRD4), a member of the Bromodomain and Extra-Terminal motif (BET) family, has been identified as a critical epigenetic driver for cardiovascular diseases. OBJECTIVES To explore the therapeutic potential in PAH of RVX208, a clinically available BET-inhibitor. METHODS Microvascular endothelial cells (MVECs), smooth muscle cells (SMC) isolated from distal pulmonary arteries of PAH patients, rats with sugen5416+Hypoxia (SH)- or monocrotalin+shunt (MS)-induced PAH, and rats with RV pressure overload induced by pulmonary artery banding (PAB) were treated with RVX208 in three independent laboratories. MEASUREMENTS AND MAIN RESULTS BRD4 is upregulated in the remodeled pulmonary vasculature of PAH patients, where it regulates FoxM1 and PLK1, proteins implicated in the DNA damage response. RVX208 normalized the hyper-proliferative, apoptosis-resistant and inflammatory phenotype of MVECs and SMCs isolated from PAH patients. Oral treatment with RVX208 reversed vascular remodeling and improved pulmonary hemodynamics in two independent trials in SH-PAH and in MS-PAH. RVX208 could be combined safely with contemporary PAH standard of care. RVX208 treatment also supported the pressure loaded RV in PAB rats. CONCLUSION RVX208, a clinically available BET-inhibitor, modulates pro-proliferative, pro-survival and pro-inflammatory pathways, potentially through interactions with FoxM1 and PLK1. This reversed the PAH phenotype in isolated PAH-MVECs and -SMCs in vitro, as well as in diverse PAH rat models. RVX208 also supported the pressure loaded RV in vivo. Together, these data support the establishment of a clinical trial with RVX208 in PAH patients.
The Spectrum of Differential Operators of Order 2n with Almost Constant Coefficients

Abstract We discuss the spectral properties of higher order ordinary differential operators. If the coefficients differ from constants by small perturbations, then the spectral properties are preserved. In this context, “small perturbations” are either short range (i.e., integrable) or long range, but slowly varying. This generalizes classical results on second order operators. Our approach relies on an analysis of the associated differential equations with the help of uniform asymptotic integration techniques.
A Real Time Attachment Free, Psycho Physiological Stress and Heart Rate Measurement System

The challenges in the development of a system performing real time detection of physiological parameters are fundamentally aversive because of the incommodities caused by the wires and sensing attachments onto the user, making the measurement sessions uncomfortable. Another factor is that the sensing accessories influence the plausibility of the measurements. In this paper, the authors introduce a system based on a device that can acquire physiological signals from a computer user with no prerequisites, postural, kinetic, or other constraints in the environment of normal usage of the home computer for the detection of their psychosomatic state and optimally their affect and emotional responses. The authors also discuss issues that could otherwise compromise the credibility of the results. Redundancy and special adaptive and corrective algorithms have been developed to improve reliability and achieve acceptable standards of quality. Measurements include skin conductance SC and reart rate HR detected by sensors positioned on the vertical sides of a computer mouse. The system is intended for interactive educational environments, during assessment, e-learning, psychosomatic user profiling, mobile and web based interfaces, and for Human Computer Interaction HCI platforms.
Impact of double positive for anti-centromere and anti-SS-a/Ro antibodies on clinicopathological characteristics of primary Sjögren’s syndrome: a retrospective cohort study

Abstract Objectives: The purpose of our study was to define the clinical characteristics of anti-centromere antibody and anti-SS-A/Ro antibody (ACA/SS-A) double positive Sjögren’s syndrome (SS) and to clarify the clinical impact of these antibodies. Methods: We examined 108 patients (6 males, mean age 57.9 years) with SS who underwent labial salivary gland biopsy. The patients were divided into four groups by ACA and anti-SS-A/Ro antibody positivity. Symptoms, laboratory and pathological data, and scleroderma-related data were compared among the groups. Results: The cohort consisted of 16 ACA/SS-A double positive, 20 ACA single positive, 67 SS-A single positive, and 5 ACA/SS-A double negative SS. ACA/SS-A double positive SS were significantly older than SS-A single positive SS (mean age 71.1 vs. 53.1 years). They had higher EULAR Sjögren’s syndrome disease activity index (ESSDAI) at diagnosis (mean 3.81 vs. 0.50) and higher serum IgG (mean 2009 vs. 1389 mg/dL) than ACA single positive SS. No patients developed skin sclerosis during a mean follow-up period of 45.6 months (range: 1–178). Conclusion: These results demonstrate that ACA/SS-A double positive SS is distinct from ACA single positive and SSA single positive SS. The combination of ACA and anti-SS-A/Ro antibody in SS should deserve greater attention in clinical practice.
Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators

Background As the quality of online health information remains questionable, there is a pressing need to understand how consumers evaluate this information. Past reviews identified content-, source-, and individual-related factors that influence consumer judgment in this area. However, systematic knowledge concerning the evaluation process, that is, why and how these factors influence the evaluation behavior, is lacking. Objective This review aims (1) to identify criteria (rules that reflect notions of value and worth) that consumers use to evaluate the quality of online health information and the indicators (properties of information objects to which criteria are applied to form judgments) they use to support the evaluation in order to achieve a better understanding of the process of information quality evaluation and (2) to explicate the relationship between indicators and criteria to provide clear guidelines for designers of consumer health information systems. Methods A systematic literature search was performed in seven digital reference databases including Medicine, Psychology, Communication, and Library and Information Science to identify empirical studies that report how consumers directly and explicitly describe their evaluation of online health information quality. Thirty-seven articles met the inclusion criteria. A qualitative content analysis was performed to identify quality evaluation criteria, indicators, and their relationships. Results We identified 25 criteria and 165 indicators. The most widely reported criteria used by consumers were trustworthiness, expertise, and objectivity. The indicators were related to source, content, and design. Among them, 114 were positive indicators (entailing positive quality judgments), 35 were negative indicators (entailing negative judgments), and 16 indicators had both positive and negative quality influence, depending on contextual factors (eg, source and individual differences) and criteria applied. The most widely reported indicators were site owners/sponsors; consensus among multiple sources; characteristics of writing and language; advertisements; content authorship; and interface design. Conclusions Consumer evaluation of online health information is a complex cost-benefit analysis process that involves the use of a wide range of criteria and a much wider range of quality indicators. There are commonalities in the use of criteria across user groups and source types, but the differences are hard to ignore. Evidently, consumers’ health information evaluation can be characterized as highly subjective and contextualized, and sometimes, misinformed. These findings invite more research into how different user groups evaluate different types of online sources and a personalized approach to educate users about evaluating online health information quality.
Pathophysiology of Myocardial Injury and Remodeling: Implications for Molecular Imaging

Despite advances in reperfusion therapy, acute coronary syndromes can still result in myocardial injury and subsequent myocardial infarction (MI). Molecular, cellular, and interstitial events antecedent to the acute MI culminate in deleterious changes in the size, shape, and function of the left ventricle (LV), collectively termed LV remodeling. Three distinct anatomic and physiologic LV regions can be described after MI: the infarct, border zone, and remote regions. Given the complexity of post-MI remodeling, imaging modalities must be equally diverse to elucidate this process. The focus of this review will first be on cardiovascular MRI of the anatomic and pathophysiologic LV regions of greatest interest with regard to the natural history of the post-MI remodeling process. This review will then examine imaging modalities that provide translational and molecular insight into burgeoning treatment fields for the attenuation of post-MI remodeling, such as cardiac restraint devices and stem cell therapy.
Effect of Substrate Thickness on the Radiation Characteristics of Inductor-loaded Patch Antenna

Microstrip patch antennas have many merits such as small size, light weight, low profile, and low cost [1]. Major disadvantages of microstrip patch antennas are their low efficiency and very narrow bandwidth. The increase of substrate thickness could improve the efficiency and bandwidth [2]. However, as the substrate thickness increases, surface waves increase which usually are not desirable [3]. The strong radiation along the horizontal plane is introduced by the polarization currents in the dielectric substrate underneath the patch. The technique for reducing the radiation by compensating the effect of the substrate using the insertion of a pin array between the patch and the ground has been presented in Ref. [4]. The inductive currents along the pins cancel out the polarization currents. The antenna using this technique behaves almost like being in the air. In this paper, we investigate the effect of substrate thickness on the radiation characteristics of an inductor-loaded patch antenna for several substrate thicknesses by simulation using HFSS (High Frequency Structure Simulator) and experiment.
An Intelligent Model for Internet Advertising Selection Based on User-Profile

- With the growth of using the internet advertising, display error rate has been subsequently increased. As an instance of display error rate, it can be referred to advertisement inappropriate to user demand of modifying wrong advertising display. The most important problem related to marketing and advertising is to absolutely consider advertising true or false. To cope with such a problem, personalized advertising is made with respect to users’ profile and behavior in order that accurate internet advertising is selected, and each user receives her/his favorite internet advertising. In this study, we presented a new profile with the internet advertising in an online bookstore to students and gathered their responses. Then, we used decision tree in data mining applications and modeled two separated datasets in two states of with a profile and without a profile. The results obtained for both datasets revealed that users profile can highly influence proper classification of the internet advertising.
The Analysis of Carbohydrate-Deficient Transferrin, Marker of Chronic Alcoholism, Using Capillary Electrophoresis

Abstract Carbohydrate-deficient transferrin (CDT) is currently considered to be the best available marker for the diagnosis of chronic alcoholism. A large variety of methods have been developed, demonstrating the need for standardisation. Commercially available anion-exchange chromatographic-based assays are easy to use and require no specialised, expensive instruments. However, these methods cannot identify genetic transferrin variants or the carbohydrate-deficient glycoprotein syndrome. In 1989, a capillary isoelectric focusing method was developed for quantitative measurement of CDT. Despite the optimal resolution, this method is not easily applied in a clinical routine environment due to the complexity of analysis. Capillary electrophoresis in a polymer network using coated capillaries allowed full resolution of the sialoforms of human transferrin. The drawbacks due to an expensive and time-consuming sample preparation were eliminated when a method in neat serum was developed. Capillary zone electrophoresis allowed full resolution of the transferrin isoforms with a high analytical performance in a short analysis time thanks to a strong electroosmotic flow. Genetic transferrin variants were easily detected, avoiding false-positive results. Also, using capillary zone electrophoresis, it was shown that CDT is a suitable marker of chronic alcohol abuse detection in transferrin CD (common/cathodal) variants.
IRS-Enhanced OFDM: Power Allocation and Passive Array Optimization

Intelligent reflecting surface (IRS) is a promising new technology for achieving spectrum and energy efficient wireless communication systems in the future. By adaptively varying the incident signals' phases/amplitudes and thereby establishing favorable channel responses through a large number of reconfigurable passive reflecting elements, IRS is able to enhance the communication performance of mobile users in its vicinity cost- effectively. In this paper, we study an IRS- enhanced orthogonal frequency division multiplexing (OFDM) system in which an IRS is deployed to assist the communication between a nearby user and its associated base station (BS). We aim to maximize the downlink achievable rate for the user by jointly optimizing the transmit power allocation at the BS and the passive array reflection coefficients at the IRS. Although the formulated problem is non-convex and thus difficult to solve, we propose an efficient algorithm to obtain a high-quality suboptimal solution for it, by alternately optimizing the BS's power allocation and the IRS's passive array coefficients in an iterative manner, along with a customized method for the initialization. Simulation results show that the proposed design significantly improves the OFDM link rate performance as compared to the cases without the IRS or with other heuristic IRS designs.
Traffic Prediction using a Deep Learning Paradigm

For many years intelligent transportation systems (ITS) have been collecting and processing huge amounts of data from numerous sensors to generate a ground truth of urban traffic. Such data has set the foundation of traffic theory, planning and simulation to create rule-based systems. It has also been used in many different studies in data-driven short-term traffic flow forecasting with promising results. Still, the acceptance for data-driven predictions is quiet low in productive systems of the public sector. Without enough probe data from floating cars (FCD) ITS owners feel unable to reach accuracy like private telecommunication or car manufacturing companies. On the other hand, investigating into FCD requires a thoughtful treatment of user privacy and a close look on data quality which can also be very time consuming. Recent progress in hardware and deep learning software has lowered the bar to handle machine learning algorithms what urges the field of traffic forecasting to continue exploring the predictive power of artificial intelligence. With this paper we present our first approach of feeding sensor data to an Artificial Neural Network (ANN). We train the ANN with different spatial and temporal lags to find an optimal setup for an entire city.
Extreme-ultraviolet Late Phase Caused by Magnetic Reconnection over Quadrupolar Magnetic Configuration in a Solar Flare

A second emission enhancement in warm coronal extreme-ultraviolet (EUV) lines (about 2–7 MK) during some solar flares is known as the EUV late phase. Imaging observations confirm that the late-phase emission originates from a set of longer or higher loops than the main flare loops. Nevertheless, some questions remain controversial: What is the relationship between these two loop systems? What is the heating source of late-phase emission? Does heating accompany the main-phase heating or does it occur quite later? In this paper, we present clear evidence for a heating source in a late-phase solar flare: magnetic reconnection of the overlying field in a quadrupolar magnetic configuration. The event is triggered by an erupted core structure that eventually leads to a coronal mass ejection. A cusp feature and its shrinkage motion high in the late-phase emission region are manifestations of the later phase reconnection following the main flare reconnection. Using the enthalpy-based thermal evolution of loops model, we reasonably reproduce the late-phase emissions in some EUV lines. We suggest that continuous additional heating is responsible for the appearance of the elongated EUV late phase.