Miracle-dz/UniFAR-FTUs huggingface dataset:
Prodromal angina and risk of 2-year cardiac mortality in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous intervention

Abstract We sought to investigate the prognostic significance of prodromal angina (PA) in unselected patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) and its additive predictive value to the GRACE score. We prospectively enrolled 3015 consecutive STEMI patients undergoing PPCI. Patients were divided in 2 groups according to the presence or absence of PA. Multivariable Cox regression was used to establish the relation to 2-year cardiac mortality of PA. The mean age of the study population was 68 (±14) years; 2178 patients (72%) were male. During follow-up, 395 (13%) patients died with 278 of these (9.2%) suffering from cardiac mortality. Kaplan-Meier estimates showed a survival rate of 95% and 87% for patients with PA and no PA, respectively (log rank test < 0.001). After multivariable analysis, patients with PA had still a lower risk of 2 years’ cardiac mortality compared with patients without PA (adjusted hazard ratio = 0.50; 95% confidence interval [CI] 1.06–1.81, P = .001). Evaluation of net reclassification improvement showed that reclassification improved by 0.16% in case patients, whereas classification worsened in control patients by 1.08% leading to a net reclassification improvement of −0.93% (95% CI: −0.98, −0.88). In patients with STEMI undergoing PPCI the presence of PA is independently associated with a lower risk of 2-year cardiac mortality. However, the incorporation of this variable to the GRACE score slightly worsened the classification of risk. Accordingly, it seems unlikely that the evaluation of PA may be useful in clinical practice.
Linear Algebra and Duality of Neural Networks

Bases, mappings, projections and metrics, natural for Neural network training, are introduced. Graph-theoretical interpretation is offered. Non-Gaussianity naturally emerges, even in relatively simple datasets. Training statistics, hierarchies and energies are analyzed, from physics point of view. Duality between observables (for example, pixels) and observations is established. Relationship between exact and numerical solutions is studied. Physics and financial mathematics interpretations of a key problem are offered. Examples support all new concepts.
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks

In practice, histopathological diagnosis of tumor malignancy often requires a human expert to scan through histopathological images at multiple magnification levels, after which a final diagnosis can be accurately determined. However, previous research on such classification tasks using convolutional neural networks primarily determine a diagnosis for a single magnification level. In this paper, we propose a case-based approach using deep residual neural networks for histopathological malignancy diagnosis, where a case is defined as a sequence of images from the patient at all available levels of magnification. Effectively, through mimicking what a human expert would actually do, our approach makes a diagnosis decision based on features learned in combination at multiple magnification levels. Our results show that the case-based approach achieves better performance than the state-of-the-art methods when evaluated on BreaKHis, a histopathological image dataset for breast tumors.
AST-Net: An Attribute-based Siamese Temporal Network for Real-Time Emotion Recognition

Predicting continuous facial emotions is essential to many applications in humancomputer interaction. In this paper, we focus on predicting the two dimensional emotions: valence and arousal, to interpret the dynamically yet subtly changed facial emotions. We propose an Attribute-based Siamese Temporal Network (AST-Net), which includes a discrete emotion CNN model and a Stacked-LSTM, to incorporate both the spatial facial attributes and the long-term dynamics into the prediction. The discrete emotion CNN model aims to extract attribute-related but poseand identity-invariant features; and the Stacked-LSTM is used to characterize the dynamic dependency along the temporal domain. Furthermore, in order to stabilize the training procedure and also to derive a smoother and reliable long-term prediction, we propose to jointly learn the model from two temporally-shifted videos under the Siamese network architecture. Experimental results on AVEC2012 dataset show that the proposed AST-Net not only processes in real time (40.1 frames per second) but also achieves the state-of-the-art performance even when using the vision modality alone.
Red cell distribution width and common disease onsets in 240,477 healthy volunteers followed for up to 9 years

Higher Red Blood Cell Distribution Width (RDW or anisocytosis) predicts incident coronary artery disease (CAD) plus all-cause and cardiovascular mortality, but its predictive value for other common diseases in healthy volunteers is less clear. We aimed to determine the shorter and longer term associations between RDW and incident common conditions in participants free of baseline disease, followed for 9 years. We undertook a prospective analysis of RDW% using 240,477 healthy UK Biobank study volunteers aged 40–70 years at baseline, with outcomes ascertained during follow-up (≤9 years). Participants were free of anemia, CAD, type-2 diabetes, stroke, hypertension, COPD, and any cancer (except non-melanoma skin cancer) at baseline. Survival models (with competing Hazards) tested associations with outcomes from hospital admission records and death certificates. High RDW (≥15% variation, n = 6,050) compared to low (<12.5% n = 20,844) was strongly associated with mortality (HR 3.10: 95% CI 2.57 to 3.74), adjusted for age, sex, smoking status, education level, mean cell volume and hemoglobin concentration. Higher RDW was also associated with incident CAD (sub-HR 1.67: 1.40 to 1.99), heart failure, peripheral vascular disease, atrial fibrillation, stroke, and cancer (sHR 1.37: 1.21 to 1.55; colorectal cancer sHR 1.92: 1.36 to 2.72), especially leukemia (sHR 2.85: 1.63 to 4.97). Associations showed dose-response relationships, and RDW had long-term predictive value (≥4.5 years after assessment) for the majority of outcomes, which were similar in younger and older persons. In conclusion, higher RDW predicted onsets of a wide range of common conditions as well as mortality in a large healthy volunteer cohort. RDW is not just a short term predictor, as high levels were predictive 4.5 to 9 years after baseline in healthy volunteers. The wide range of outcomes reflects known RDW genetic influences, including diverse disease risks. RDW may be a useful clinical marker for inclusion in wellness assessments.
Predictive Factors for Functional Outcomes After Intravenous Thrombolytic Therapy in Acute Ischemic Stroke

The objective of our study is to detect the patient group that will most benefit from intravenous (IV) thrombolytic therapy by showing predictive factors of good functional outcomes. The present study covers 88 patients who were admitted to our clinic within the first 4.5 hours from the onset of stroke symptoms, diagnosed with acute ischemic stroke and who received IV thrombolytic therapy between May 2014 and June 2017 as a result of a retrospective analysis of a database prospectively collected. The patients with a score of ≤2 on modified Rankin scale within 3 months were accepted as good functional outcome and those with a score of >2 were accepted as poor functional outcome. As a result, within the period of 3 months posttreatment, good functional outcomes were obtained in 45 (51.1%) patients and poor functional outcomes were obtained in 43 (48.9%) patients. In comparisons, cardioembolic stroke group was statistically significantly higher in the good functional outcome group (P = .03). Pretreatment National Institute of Health Stroke Scale (NIHSS) scores (P < .001), presence of proximal hyperintense middle cerebral artery sign in noncontrast computed brain tomography (P = .03), and being aged ≥80 and older (P = .04) were markedly higher in the group with poor functional outcomes. In conclusion, our study demonstrated that cardioembolic strokes may have an impact on good functional outcomes and being aged 80 and older, presence of proximal HMCAS in computed brain tomography, and pretreatment NIHSS scores may have an impact on poor functional outcomes.
Classifying Types of Ethos Support and Attack

Endorsing the character of allies and destroying credibility of opponents is a powerful tactic for persuading others, impacting how we see politicians and how we vote in elections, for example. Our previous work demonstrated that ethos supports and attacks use different language, we hypothesise that further distinctions should be made in order to better understand and implement ethotic strategies which people use in real-life communication. In this paper, we use the Aristotelian concept of elements of ethos: practical wisdom, moral virtue and goodwill, to determine speciﬁc grounds on which speakers can be endorsed and criticised. We pro-pose a classiﬁcation of types of ethos supports and attacks which is empirically derived from our corpus. The manual classiﬁcation obtains a reliable Cohen’s kappa κ = 0.52 and weighted κ = 0.7. Finally, we develop a pipeline to classify ethos supports and attacks into their types depending on whether endorsement or criticism is grounded in wisdom, virtue or goodwill. The automatic classiﬁcation obtains a solid improvement of macro-averaged F1-score over the baseline of 10%, 25%, 9% for one vs all classiﬁcation, and 16%, 18%, 10% for pairwise classiﬁcation.
Enhanced gross primary production and evapotranspiration in juniper‐encroached grasslands

Woody plant encroachment (WPE) into grasslands has been occurring globally and may be accelerated by climate change in the future. This land cover change is expected to alter the carbon and water cycles, but it remains uncertain how and to what extent the carbon and water cycles may change with WPE into grasslands under current climate. In this study, we examined the difference of vegetation indices (VIs), evapotranspiration (ET), gross primary production (GPP), and solar‐induced chlorophyll fluorescence (SIF) during 2000–2010 between grasslands and juniper‐encroached grasslands. We also quantitatively assessed the changes of GPP and ET for grasslands with different proportions of juniper encroachment (JWPE). Our results suggested that JWPE increased the GPP, ET, greenness‐related VIs, and SIF of grasslands. Mean annual GPP and ET were, respectively, ~55% and ~45% higher when grasslands were completely converted into juniper forests under contemporary climate during 2000–2010. The enhancement of annual GPP and ET for grasslands with JWPE varied over years ranging from about +20% GPP (~+30% for ET) in the wettest year (2007) to about twice as much GPP (~+55% for ET) in the severe drought year (2006) relative to grasslands without encroachment. Additionally, the differences in GPP and ET showed significant seasonal dynamics. During the peak growing season (May–August), GPP and ET for grasslands with JWPE were ~30% and ~40% higher on average. This analysis provided insights into how and to what degree carbon and water cycles were impacted by JWPE, which is vital to understanding how JWPE and ecological succession will affect the regional and global carbon and water budgets in the future.
Sacral agenesis combined with spinopelvic dissociation

Introduction: Sacral agenesis is a rare congenital disease with radiologic manifestation of sacrum deformity. Its clinical manifestations include spinopelvic instability due to sacroiliac joint deformity, spinal rotation, scoliosis, difficulties in walking, and claudication. Surgical intervention aims to prevent further deformity progression and to improve the patients’ walking function. It is challenging to achieve solid arthrodesis for this congenital disease, and fusion failure could aggravate deformity. Case presentation: We retrospectively studied one case of a 12-year-old girl with sacral agenesis combined with spinopelvic dissociation and spinal scoliosis. She was presented with intermittent lumbosacral pain and worsening walking instability. We reconstructed the posterior pelvic ring through 1 iliac screw implanted in the bilateral posterior superior iliac spine, and the preflexed connecting rod was tightly locked with bilateral screws through the opening at the right spinal process of S2. With this method, bilateral ilia and sacrum were integrated and hemipelvic floating could be corrected. Bone fusion was achieved between the bilateral ilia and the sacrum. Conclusion: Ilium-sacrum-ilium internal fixation and fusion for treating sacral agenesis combined with spinopelvic dissociation could achieve sacroiliac joint fusion. It is easy to perform and could cause little trauma while preserving the lumbar motion segment, which will provide new insight for treating sacral agenesis.
Dihydromyricetin induces apoptosis in a human choriocarcinoma cell line

Choriocarcinoma is a malignant trophoblastic tumor. The development of novel drugs is required to reduce the toxicity of current multi-agent chemotherapy and to successfully treat chemoresistant cases of the disease. The purpose of the present study was to investigate the effect of dihydromyricetin (DMY) on the human choriocarcinoma cell line, JAr, to identify a novel drug for the treatment of choriocarcinoma. An MTT assay was performed to determine the effects of DMY at different concentrations and for different exposure durations. Flow cytometry and TUNEL assays were performed to detect apoptosis, and western blotting was utilized to investigate the underlying mechanism. The results revealed that DMY significantly inhibited JAr cell viability in a time- and dose-dependent manner. The flow cytometry and TUNEL assays demonstrated that DMY inhibited proliferation by inducing apoptosis. Further analysis by western blotting indicated that the protein expression level of BCL-2 associated X, associated protein increased, while the protein expression levels of BCL-2 and pro-caspase-3 decreased. These findings suggest that DMY induced apoptosis in human choriocarcinoma JAr cells, through a mitochondrially mediated apoptotic pathway.
Unusual News Flow and the Cross-Section of Stock Returns

Unusual News Flow and the Cross-Section of Stock Returns Turan G. Bali ∗ Andriy Bodnaruk † Anna Scherbina ‡ Yi Tang § Georgetown U. UIC UC Davis Fordham U. First draft: January 22, 2009 This draft: November 14, 2016 Abstract We document that stocks that experience sudden increases in idiosyncratic volatility underperform oth- erwise similar stocks in the future, and we propose that this phenomenon can be explained by the Miller (1977) conjecture. We show that volatility shocks can be traced to the unusual firm-level news flow, which temporarily increases the level of investor disagreement about the firm value. At the same time, volatility shocks pose a barrier to short selling, preventing pessimistic investors from expressing their views. In the presence of divergent opinions and short selling constraints, prices end up initially reflecting optimistic views but adjust down in the future as investors’ opinions converge. JEL classification: G10, G12, G14 Keywords: Unusual News Flow, Volatility Shocks, Short Sale Constraints, Market Efficiency ∗ Georgetown University, 37th and O Streets, N.W. , Washington D.C. 20057 . Email: turan.bali@baruch.cuny. edu. Phone: 202-687-5388. Fax: † College of Business Administration, University of Illinois at Chicago, 2431 UH MC 168, Chicago, IL 60607. Email: bodnaruk@uic.edu. Phone: (312) 996-2980. Fax: (312) 413-7948. ‡ Graduate School of Management, University of California at Davis, One Shields Avenue, Davis, CA 95616; presently visiting at Brandeis University, 415 South Street, Waltham, MA 02453. Email: ascherbina@ucdavis.edu. Phone: (530) 754-8076. Fax: (530) 725-2924. § School of Business, Fordham University, 1790 Broadway, New York, NY 10019. Email: ytang@fordham.edu. Phone: (646) 636-8292. Fax: We are grateful to the editor, Wei Xiong, the Associate Editor, and three anonymous referees for their extremely helpful comments and suggestions. We benefited from discussions with Andrew Ang, Brad Barber, Sanjiv Das, Ozgur Demirtas, George Panayotov, Lin Peng, Raghu Rau, and Bernd Schlusche. We also thank seminar participants at UC Davis, Tulane University, DePaul University, Baruch College, Georgetown University, Koc University, Sabanci University, Securities and Exchange Commission, CalPERS and CalSTERS, as well as conference participants at the the Journal of Investment Management 2009 Conference and the Financial Management Association 2010 Meetings for their helpful comments and suggestions. An earlier draft of this paper was circulated under the title “Unusual News Events and the Cross-Section of Stock Returns. ”
An energy-based analysis of reduced-order models of (networked) synchronous machines

ABSTRACT Stability of power networks is an increasingly important topic because of the high penetration of renewable distributed generation units. This requires the development of advanced techniques for the analysis and controller design of power networks. Although there are widely accepted reduced-order models to describe the power network dynamics, they are commonly presented without details about the reduction procedure. The present article aims to provide a modular model derivation of multi-machine power networks. Starting from first-principle fundamental physics, we present detailed dynamical models of synchronous machines and clearly state the underlying assumptions which lead to some of the standard reduced-order multi-machine models. In addition, the energy functions for these models are derived, which allows to represent the multi-machine systems as port-Hamiltonian systems. Moreover, the systems are proven to be shifted passive, which permits for a power-preserving interconnection with other passive components. Graphical Abstract
WW domain–mediated regulation and activation of E3 ubiquitin ligase Suppressor of Deltex

The Nedd4 family E3 ligases Itch and WWP1/2 play crucial roles in the regulation of cell cycle progression and apoptosis and are closely correlated with cancer development and metastasis. It has been recently shown that the ligase activities of Itch and WWP1/2 are tightly regulated, with the HECT domain sequestered intramolecularly by a linker region connecting WW2 and WW3. Here, we show that a similar autoinhibitory mechanism is utilized by the Drosophila ortholog of Itch and WWP1/2, Suppressor of Deltex (Su(dx)). We show that Su(dx) adopts an inactive steady state with the WW domain region interacting with the HECT domain. We demonstrate that both the linker and preceding WW2 are required for the efficient binding and regulation of Su(dx) HECT. Recruiting the multiple-PY motif–containing adaptor dNdfip via WW domains relieves the inhibitory state of Su(dx) and leads to substrate (e.g. Notch) ubiquitination. Our study demonstrates an evolutionarily conservative mechanism governing the regulation and activation of some Nedd4 family E3 ligases. Our results also suggest a dual regulatory mechanism for specific Notch down-regulation via dNdfip–Su(dx)–mediated Notch ubiquitination.
Gap Premium Pricing in Leveraged Exchange Traded Notes

Exchange traded notes have recently seen a surge in popularity. Investors are pouring cash into these debt securities that track various underlying assets. Riskier leveraged exchange traded notes replicate the daily return of the underlying asset multiplied by a lever. Investors pay various fees for holding these securities, many of which are obscure and hidden. The study has researched what hedging fees an underwriter should charge investors. The study has produced two models for pricing these hedging fees: one using insurance pricing based on historical losses and another using arbitrage pricing based on the Black- Scholes model. The models have been used to price leveraged exchange traded notes with a lever of 15 tracking the OMXS30 as the underlying asset, showing that all underwriters but one are within a reasonable price range. A discussion concerning investors risk taking from a behavioral finance perspective and its connection to leveraged exchange traded notes is also included.
Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition

The Exemplar-SVM (E-SVM) is a learning method based on exemplar that uses only one positive sample and a substantial number of negative samples. In the detection stage, it is possible to detect the location of the target object and estimate the attribute by transferring the attribute of the nearest exemplar. The use of E-SVM classifiers leads to very high computational cost because it is necessary to compute the inner products of weight vectors for multiple classifiers and an input feature vector. For accelerating the computation of E-SVM, we propose binary approximation based on matrix decomposition. First, we stack the E-SVM’s weight vectors as a matrix. Then, we decompose the matrix into common binary basis vectors and real-valued coefficient vectors for computing the approximated inner products by logical operation. We also introduce early rejection by cascade structure classifier into the proposed method. The evaluation experiments show that the computation time of the proposed method is lower by a factor of 200 than that of the conventional E-SVM.
Facebook Use, Facebook Jealousy, and Intimate Partner Violence Perpetration

Social networking sites (SNS) are now deeply ingrained in our interpersonal world. Past research has shown various impacts of SNS on intimate relationships, from facilitation of relationship initiation to new sources of conflicts between romantic partners. In two studies, we examined Facebook-related jealousy as a risk factor for the perpetration of intimate partner violence (IPV) in adolescents and young adults. In study 1, 1508 participants completed an online survey assessing Facebook use, Facebook jealousy, and IPV perpetration. Facebook jealousy emerged as a significant mediator of the association between Facebook use and IPV. In study 2, we used a dyadic perspective to investigate the joint contribution of both partners' Facebook jealousy to IPV perpetration. In a sample of 92 youth (46 couples), results showed a significant interaction between own and partner Facebook jealousy. More specifically, own Facebook jealousy was associated with IPV perpetration only at high levels of partner Facebook jealousy. These findings suggest that online behaviors have meaningful implications for offline conflicts and aggression in intimate relationships.