Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-term blood pressure prediction with deep recurrent neural networks

Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics. As a result, these models suffer from accuracy decay over a long time and thus require frequent calibration. In this work, we address this issue by formulating BP estimation as a sequence prediction problem in which both the input and target are temporal sequences. We propose a novel deep recurrent neural network (RNN) consisting of multilayered Long Short-Term Memory (LSTM) networks, which are incorporated with (1) a bidirectional structure to access larger-scale context information of input sequence, and (2) residual connections to allow gradients in deep RNN to propagate more effectively. The proposed deep RNN model was tested on a static BP dataset, and it achieved root mean square error (RMSE) of 3.90 and 2.66 mmHg for systolic BP (SBP) and diastolic BP (DBP) prediction respectively, surpassing the accuracy of traditional BP prediction models. On a multi-day BP dataset, the deep RNN achieved RMSE of 3.84, 5.25, 5.80 and 5.81 mmHg for the 1st day, 2nd day, 4th day and 6th month after the 1st day SBP prediction, and 1.80, 4.78, 5.0, 5.21 mmHg for corresponding DBP prediction, respectively, which outperforms all previous models with notable improvement. The experimental results suggest that modeling the temporal dependencies in BP dynamics significantly improves the long-term BP prediction accuracy.
Demystifying O-GlcNAcylation: hints from peptide substrates

O-GlcNAcylation, analogous to phosphorylation, is an essential post-translational modification of proteins at Ser/Thr residues with a single β-N-acetylglucosamine moiety. This dynamic protein modification regulates many fundamental cellular processes and its deregulation has been linked to chronic diseases such as cancer, diabetes and neurodegenerative disorders. Reversible attachment and removal of O-GlcNAc is governed only by O-GlcNAc transferase and O-GlcNAcase, respectively. Peptide substrates, derived from natural O-GlcNAcylation targets, function in the catalytic cores of these two enzymes by maintaining interactions between enzyme and substrate, which makes them ideal models for the study of O-GlcNAcylation and deglycosylation. These peptides provide valuable tools for a deeper understanding of O-GlcNAc processing enzymes. By taking advantage of peptide chemistry, recent progress in the study of activity and regulatory mechanisms of these two enzymes has advanced our understanding of their fundamental specificities as well as their potential as therapeutic targets. Hence, this review summarizes the recent achievements on this modification studied at the peptide level, focusing on enzyme activity, enzyme specificity, direct function, site-specific antibodies and peptide substrate-inspired inhibitors.
Emulation of computer mouse control with a noninvasive brain–computer interface

Brain–computer interface (BCI) technology can provide nonmuscular communication and control to people who are severely paralyzed. BCIs can use noninvasive or invasive techniques for recording the brain signals that convey the user's commands. Although noninvasive BCIs are used for simple applications, it has frequently been assumed that only invasive BCIs, which use electrodes implanted in the brain, will be able to provide multidimensional sequential control of a robotic arm or a neuroprosthesis. The present study shows that a noninvasive BCI using scalp-recorded electroencephalographic (EEG) activity and an adaptive algorithm can provide people, including people with spinal cord injuries, with two-dimensional cursor movement and target selection. Multiple targets were presented around the periphery of a computer screen, with one designated as the correct target. The user's task was to use EEG to move a cursor from the center of the screen to the correct target and then to use an additional EEG feature to select the target. If the cursor reached an incorrect target, the user was instructed not to select it. Thus, this task emulated the key features of mouse operation. The results indicate that people with severe motor disabilities could use brain signals for sequential multidimensional movement and selection.
Dopaminergic Drug Effects on Probability Weighting during Risky Decision Making

Abstract Dopamine has been associated with risky decision-making, as well as with pathological gambling, a behavioral addiction characterized by excessive risk-taking behavior. However, the specific mechanisms through which dopamine might act to foster risk-taking and pathological gambling remain elusive. Here we test the hypothesis that this might be achieved, in part, via modulation of subjective probability weighting during decision making. Human healthy controls (n = 21) and pathological gamblers (n = 16) played a decision-making task involving choices between sure monetary options and risky gambles both in the gain and loss domains. Each participant played the task twice, either under placebo or the dopamine D2/D3 receptor antagonist sulpiride, in a double-blind counterbalanced design. A prospect theory modelling approach was used to estimate subjective probability weighting and sensitivity to monetary outcomes. Consistent with prospect theory, we found that participants presented a distortion in the subjective weighting of probabilities, i.e., they overweighted low probabilities and underweighted moderate to high probabilities, both in the gain and loss domains. Compared with placebo, sulpiride attenuated this distortion in the gain domain. Across drugs, the groups did not differ in their probability weighting, although gamblers consistently underweighted losing probabilities in the placebo condition. Overall, our results reveal that dopamine D2/D3 receptor antagonism modulates the subjective weighting of probabilities in the gain domain, in the direction of more objective, economically rational decision making.
Academic Advising and the Persistence Intentions of Community College Students in their First Weeks in College

Persistence of community college students is a serious and perennial concern with numerous published figures illustrating the daunting odds that students and institutions face along their path to college completion (Calcagno, Crosta, Bailey, & Jenkins, 2007; Provasnik & Planty, 2008). Although researchers have made headway in identifying influential factors in students’ successful persistence along that path, evidence suggests that attrition in community colleges can begin to occur within the first term and even between enrollment and the first day of class (Bailey, 2009; Bailey, Jeong, & Cho, 2010; Brooks-Leonard, 1991). While some researchers have explored the critical role of the early weeks of college experiences in student success (Astin, 1993; Tinto, 1988; Woosley, 2003; Woosley & Miller, 2009), studies specific to re-
On the Dominant Harmonic Source Identification— Part I: Review of Methods

Analyzing the harmonic distortions at the point of common coupling is thoroughly addressed in this two-part paper. The main aim of such an analysis is to identify which of the utility and customer sides is significantly responsible for the harmonic distortions at the point of common coupling. In Part I, the meaning of the dominant side is challenged fundamentally. Here, two different definitions for the dominant side are discussed: The side with the larger equivalent harmonic “voltage” or “current” source. It is shown that these definitions are not identical. Subsequently, common methods are categorized in three general concepts based on: the direction of active power flow, the reactive power, and the voltage-current ratio. These three categories as well as their validity are analytically reviewed for both the definitions. The concept based on the voltage–current ratio has been explicitly presented in the original work for identifying the dominant equivalent harmonic voltage source. This concept is developed in this paper for identifying the dominant equivalent harmonic current source as well. In Part II, the application of the methods is illustrated using some common calculation examples. In addition, these methods are described verbally to provide a physical interpretation. Some practical aspects regarding the implementation of the methods are discussed as well.
NGC 1275: An Outlier of the Black Hole-Host Scaling Relations

The active galaxy NGC 1275 lies at the center of the Perseus cluster of galaxies, being an archetypal BH-galaxy system that is supposed to fit well with the M_BH-host scaling relations obtained for quiescent galaxies. Since it harbours an obscured AGN, only recently our group has been able to estimate its black hole mass. Here our aim is to pinpoint NGC 1275 on the less dispersed scaling relations, namely the M_BH-sigma_star and M_BH-L_bul planes. Starting from our previous work Ricci et al. 2017b, we estimate that NGC 1275 falls well outside the intrinsic dispersion of the M_BH-sigma_star plane being ~1.2 dex (in black hole mass) displaced with respect to the scaling relations. We then perform a 2D morphological decomposition analysis on Spitzer/IRAC images at 3.6 mic and find that, beyond the bright compact nucleus that dominates the central emission, NGC 1275 follows a de Vaucouleurs profile with no sign of significant star formation nor clear merger remnants. Nonetheless, its displacement on the M_BH-L_(3.6,bul) plane with respect to the scaling relation is as high as observed in the M_BH-sigma_star.
Impact of sociodemographic characteristics on underemployment in a longitudinal, nationally representative study of cancer survivors: Evidence for the importance of gender and marital status

ABSTRACT Background: We examined the longitudinal association between sociodemographic factors and an expanded definition of underemployment among those with and without cancer history in the United States. Methods: Medical Expenditure Panel Survey data (2007–2013) were used in multivariable regression analyses to compare employment status between baseline and two-year follow-up among adults aged 25–62 years at baseline (n = 1,614 with and n = 39,324 without cancer). Underemployment was defined as becoming/staying unemployed, changing from full to part-time, or reducing part-time work significantly. Interaction effects between cancer history/time since diagnosis and predictors known to be associated with employment patterns, including age, gender/marital status, education, and health insurance status at baseline were modeled. Results: Approximately 25% of cancer survivors and 21% of individuals without cancer reported underemployment at follow-up (p = 0.002). Multivariable analyses indicated that those with a cancer history report underemployment more frequently (24.7%) than those without cancer (21.4%, p = 0.002) with underemployment rates increasing with time since cancer diagnosis. A significant interaction between gender/marital status and cancer history and underemployment was found (p = 0.0004). There were no other significant interactions. Married female survivors diagnosed >10 years ago reported underemployment most commonly (38.7%), and married men without cancer reported underemployment most infrequently (14.0%). A wider absolute difference in underemployment reports for married versus unmarried women as compared to married versus unmarried men was evident, with the widest difference apparent for unmarried versus married women diagnosed >10 years ago (18.1% vs. 38.7%). Conclusion: Cancer survivors are more likely to experience underemployment than those without cancer. Longer time since cancer diagnosis and gender/marital status are critical factors in predicting those at greatest risk of underemployment. The impact of cancer on work should be systematically studied across sociodemographic groups and recognized as a component of comprehensive survivorship care.
Combined Laparoscopic and Cystoscopic Retrieval of Forgotten Translocated Intrauterine Contraceptive Device

The most commonly used long-term reversible female contraception is intrauterine contraceptive device (IUCD). Its use is however associated with documented complications. Uterine perforation, though rare, is arguably the most surgically important of all these complications. We report a case of a 48-year-old para 4+0 (4 alive) woman who had IUCD insertion 17 years earlier and had forgotten she had the device having had two children thereafter. The IUCD was subsequently translocated through the dome of the bladder into the peritoneal cavity with calculus formation around the tail and thread of the IUCD in the urinary bladder causing recurrent urinary tract infection. This “Collar Stud” effect made either cystoscopic or laparoscopic retrieval alone unsuccessful necessitating a combined approach. This case report highlights the need for a combined laparoscopic and cystoscopic approach in the retrieval of the unusual presentation of translocated IUCD.
xGASS: total cold gas scaling relations and molecular-to-atomic gas ratios of galaxies in the local Universe

We present the extended GALEX Arecibo SDSS Survey (xGASS), a gas fraction-limited census of the atomic hydrogen (H I) gas content of 1179 galaxies selected only by stellar mass (M⋆ = 10^9–10^(11.5) M_⊙) and redshift (0.01 < z < 0.05). This includes new Arecibo observations of 208 galaxies, for which we release catalogues and H I spectra. In addition to extending the GASS H I scaling relations by one decade in stellar mass, we quantify total (atomic+molecular) cold gas fractions and molecular-to-atomic gas mass ratios, R_(mol), for the subset of 477 galaxies observed with the IRAM 30 m telescope. We find that atomic gas fractions keep increasing with decreasing stellar mass, with no sign of a plateau down to log M⋆/M_⊙ = 9. Total gas reservoirs remain H I-dominated across our full stellar mass range, hence total gas fraction scaling relations closely resemble atomic ones, but with a scatter that strongly correlates with R_(mol), especially at fixed specific star formation rate. On average, R_(mol) weakly increases with stellar mass and stellar surface density μ⋆, but individual values vary by almost two orders of magnitude at fixed M⋆ or μ⋆. We show that, for galaxies on the star-forming sequence, variations of R_(mol) are mostly driven by changes of the H I reservoirs, with a clear dependence on μ⋆. Establishing if galaxy mass or structure plays the most important role in regulating the cold gas content of galaxies requires an accurate separation of bulge and disc components for the study of gas scaling relations.
A theory for the image production mechanism of scanning nonlinear dielectric microscopy and its application to the quantitative evaluation of linear and nonlinear dielectric properties of ferroelectric and piezoelectric materials

A theory for scanning nonlinear dielectric microscopy (SNDM) and its application to the quantitative evaluation of the linear and nonlinear dielectric constants of dielectric materials are described. First, a general theorem for the capacitance variation under an applied electric field is derived and a capacitance variation susceptibility S/sub nl/, which is a very useful parameter for the quantitative measurement of nonlinear dielectric constants, is defined. This S/sub nl/ is independent of the tip radius, and therefore the sensitivity of the SNDM probe does not change, even if a tip with a smaller radius is selected to obtain a finer resolution. Using the theoretical results and the data taken by SNDM, the quantitative linear and nonlinear dielectric properties of several dielectric materials were successfully determined. From the calculation of a one-dimensional image of a 180/spl deg/ c-c domain boundary, it is demonstrated that the SNDM has an atomic scale resolution.
IoT smart campus review and implementation of IoT applications into education process of university

In this paper described model of Internet of This paper reviews concepts of Internet of Things (IoT), IoT smart campus model and applications, describes implementation of IoT applications in university campus, IoT Flipped Classroom, IoT Entrance system, student's feedback, IoT orangery and IoT heating system. Feedback token from students shows impact of implementation of IoT Flipped Classroom and compare with traditional education approach.
Use of Clustering to Reduce the Number of Different Setting Groups for Adaptive Coordination of Overcurrent Relays

The facility to save multiple setting groups (SGs) within digital overcurrent relays (OCRs) is to adapt the active setting of the relays to the current topology of the power network. However, the number of available SGs is much lower than the possible topologies of the network, so this facility is usually applied to a few local changes in the network. This paper aims to extend the application to a complete set of topologies. A proper index is introduced and applied with a k-means clustering technique to classify the topologies into some clusters, whose number is equal to the number of SGs. Then, for every topology cluster, the optimal settings are calculated and saved in the OCRs as a distinct SG to be activated by changing the topology to any member of the cluster. Applying this technique to OCRs of the IEEE 14-bus test network and a 63/20kV substation verifies its effectiveness on reserving coordination for all topologies and reducing the relays’ time dial setting. Using available communication links, this technique can be implemented by making a computer network between substations of the power network without needing to interact with the control center.
Potential of Cassia alata L. Coupled with Biochar for Heavy Metal Stabilization in Multi-Metal Mine Tailings

To explore the effect of different biochars on Cassia alata L. growth and heavy metal immobilization in multi-metal mine tailings, a 100-day pot experiment was conducted. Three biochars derived from Hibiscus cannabinus core (HB), sewage sludge (SB) and chicken manure (MB), were added to mine tailings at rates of 0.4%, 1% and 3% (w/w). The results showed that the root biomass, shoot biomass, plant height and root length were 1.2–2.8, 1.7–3.2, 1–1.5 and 1.6–3.3 times of those in the control group, respectively. Pb, Zn, Cu, Cd and As contents in the shoot decreased by 63.9–89.5%, 46.9–66.0%, 32.7–62.4%, 40.4–76.4% and 54.9–77.5%, respectively. The biochar significantly increased the pH and decreased the mild acid-soluble Pb and Cu concentrations in the mine tailings. Specifically, SB immobilized Pb and Cu better than MB and HB did, although it did not immobilize As, Zn or Cd. Meanwhile, more attention should be paid to the potential As release as the biochar application rate increases. In conclusion, Cassia alata L. coupled with 3% of SB could be an effective measure for restoring multi-metal mine tailings. This study herein provided a promising ecological restoration technique for future practice of heavy metal stabilization in mine tailings.
Individual Differences and Computer User-Training Behaviour: Examination of an Empirical Model

A model that incorporates both stable and dynamic individual differences to the nomological net of the Technology Acceptance Model (TAM) in the context of computer user training is proposed. A study using 348 completed surveys from University students engaged in computer training found that stable traits (Negative Affects, Trait Anxiety and Personal Innovativeness in IT (PIIT)) explained 35% of variance in Computer Anxiety (CA). Significant support to the model provides evidence that stable individual differences are antecedents to and predict both Computer Self Efficacy and CA. In addition, the model demonstrates the relationship of these determinants to the TAM.
Cloud-Based System for Supervised Classification of Plant Diseases Using Convolutional Neural Networks

Agriculture is a major contributor to India's GDP. A lot of farmers reside in remote areas of the country and are in constant conjecture as to whether their crop is healthy or not. This makes them use pesticides, artificial fertilizers as a precautionary measure, which is detrimental to its edible fitness. This paper aims to address this issue by providing a cloud based system to determine if the crop is healthy or unhealthy. It aims to perform real time classification using supervised learning, along with elucidating the architecture of the system which classifies images of diseased plants, using Convolutional Neural Networks. It highlights the necessity of real time data gathering. The other obstacle this paper aims to mitigate is to reduce the misclassification rate by comparing classification algorithms(CNN and SVM) and choosing the appropriate algorithm. The dataset for the project is gathered from farms in India. The work also intends to provide this dataset of labelled plant diseases for future use.
Elasticity in Cloud Computing: State of the Art and Research Challenges

Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. It also discusses major issues and research challenges related to elasticity in cloud computing. We comprehensively review and analyze the proposals developed in this field. We provide a taxonomy of elasticity mechanisms according to the identified works and key properties. Compared to other works in literature, this article presents a broader and detailed analysis of elasticity approaches and is considered as the first survey addressing the elasticity of containers.
Treatment of Anemia in Patients With Heart Disease: A Clinical Practice Guideline From the American College of Physicians

DESCRIPTION The American College of Physicians (ACP) developed this guideline to present the evidence and provide clinical recommendations on the treatment of anemia and iron deficiency in adult patients with heart disease. METHODS This guideline is based on published literature in the English language on anemia and iron deficiency from 1947 to July 2012 that was identified using MEDLINE and the Cochrane Library. Literature was reassessed in April 2013, and additional studies were included. Outcomes evaluated for this guideline included mortality; hospitalization; exercise tolerance; quality of life; and cardiovascular events (defined as myocardial infarction, congestive heart failure exacerbation, arrhythmia, or cardiac death) and harms, including hypertension, venous thromboembolic events, and ischemic cerebrovascular events. The target audience for this guideline includes all clinicians, and the target patient population is anemic or iron-deficient adult patients with heart disease. This guideline grades the evidence and recommendations using the ACP's clinical practice guidelines grading system. RECOMMENDATION 1 ACP recommends using a restrictive red blood cell transfusion strategy (trigger hemoglobin threshold of 7 to 8 g/dL compared with higher hemoglobin levels) in hospitalized patients with coronary heart disease. (Grade: weak recommendation; low-quality evidence) RECOMMENDATION 2 ACP recommends against the use of erythropoiesis-stimulating agents in patients with mild to moderate anemia and congestive heart failure or coronary heart disease. (Grade: strong recommendation; moderate-quality evidence).