Miracle-dz/UniFAR-FTUs huggingface dataset:
Forme Fruste in Recurring Mid-Ventricular Variant of Takotsubo Cardiomyopathy

Patient: Female, 69 Final Diagnosis: Mid ventricular type of Takotsubo cardiomyopathy Symptoms: Chest discomfort Medication: — Clinical Procedure: Angiography • 2D echocardiogram Specialty: Cardiology Objective: Unusual clinical course Background: Takotsubo cardiomyopathy (TC) is characterized as acute left ventricular dysfunction precipitated by intense emotional or physiological stress. The mid-ventricular variant of TC usually has akinesis, with or without ballooning of the mid-ventricular segment, and a hyperdynamic base and apex. Recurrence of the typical and atypical (reversed and mid-ventricular type) forms has been reported in only a very small number of cases. We report a forme fruste presentation of mid-ventricular variant of TC. Case Report: A 69-year-old woman with a prior history of stress-induced cardiomyopathy presented with complaint of moderate intensity, persistent, sub-sternal chest discomfort. She reported that her symptoms were similar to those she had during a previous hospitalization in 2015, and this time cited the death of her mother as an inciting stressor. No significant obstructive flow-limiting coronary artery disease was found on cardiac catheterization. However, the left ventriculogram was suggestive of mid-ventricular pattern of TC. Her first symptomatic episode of apparent TC did not reveal completion of the mid-ventricular pattern of the TC variant. The subsequent episode, during this hospitalization, manifested as a completed version of her initial apparent forme fruste of mid-ventricular variant of TC. Conclusions: TC may present in a myriad of clinical forms that must be considered in the evaluation of patients with suspected acute coronary syndromes or cardiomyopathy. Treatment is mainly supportive, and recurrence rates range from 7.7% to 11.4%. To the best of our knowledge, this forme fruste presentation has not been previously reported in recurrent variants of TC.
Globalization and backlash: Polayni's revenge?

ABSTRACT This paper investigates political-economic backlash to economic globalization in industrialized polities. It analyzes data on the content of party platforms to develop measures of party support for, or opposition to, political-economic closure, anti-democratic nationalism, and xenophobia in all party platforms of 23 Organization for Economic Cooperation and Development countries for all national elections between 1960 and 2003. These allow broader judgments of trends in autarky and autarchy than focusing on electoral success of particular extreme-right parties. Based on these measures, the paper quantitatively analyzes how international trade and capital openness and flows, and immigration flows, all influence the embrace or rejection of political-economic backlash among parties. The main explanatory finding is that immigration and capital flows and openness tend to increase marginally such backlash when national welfare compensation is very modest, but to reduce it when national compensation is generous, cushioning citizens from globalization's economic risks. This finding provides evidence that the current wave of globalization only marginally resembles the dark politics ending its nineteenth-century predecessor, and that welfare protection may help make the difference between political-economic backlash and liberalism in contemporary globalization.
Robust Learning Control for Robot Manipulators With Random Initial Errors and Iteration-Varying Reference Trajectories

In this paper, we propose an error-tracking iterative learning control scheme to tackle the position tracking problem for robot manipulators with random initial errors and iteration-varying reference trajectories. Different from general usual ones, the control strategy in our work is to drive system errors perfectly track the desired error trajectories over the whole time interval as the iteration number increases, by which, the position trajectory and velocity trajectory can respectively track their reference trajectories during the predefined part operation interval. For fulfilling the control design, a new construction method of desired error trajectories is presented to remove the perfect initial resetting condition, which must be satisfied in most traditional iterative learning control algorithms. The uncertainties and disturbances in the robotic system dynamics are compensated by the robust approach and iterative learning approach, combinedly.
Shoreline mapping: how do Fuzzy Sigmoidal, Bayesian, and Demspter-Shafer classifications perform for different types of coasts?

ABSTRACT This study examined Fuzzy Sigmoidal, Bayesian, and Demspter-Shafer classifications to map shorelines in Kuala Terengganu, Malaysia for different types of coasts (CT). These three soft classification methods were applied to simulated Satellite Pour l’Observation de la Terre-5 (SPOT-5 with 10 and 20 m spatial resolutions) images covering the three shoreline locations which were typically different in shape and orientation: (a) rocky breakwater coasts (CT-1), (b) rocky and sandy airport coasts (CT-2), and (c) sandy beach coasts (CT-3) for predicting shorelines. Visual inspection and statistical measures showed that variations in accuracies were evident, predominantly due to differences in CTs; mapping accuracy decreased with an increase of spatial resolution, but accuracy increased if shorelines were aligned exact parallel to the column of pixel grid. Sigmoidal can predict shoreline over the CT-3 areas with greater accuracy than the other two methods and has less dependence on spatial resolutions for across the CTs. But effective use of Bayesian membership function for mapping shoreline over certain small and narrow jetty-like structures makes this classifier also efficient. The soft classifier assessed in this study produced reliable shoreline maps and should help shoreline change detection and monitoring from coarser spatial resolution imagery.
Population structuring of Channa striata from Indian waters using control region of mtDNA

Abstract Striped snakehead (Channa striata) is a freshwater species of early Miocene period belonging to family Channidae. The genetic variability of the snakehead populations in India was not well known. Present study was undertaken using 149 sequences of control region of mitochondrial DNA from seven geographically distinct populations of Indian water, which resulted in 46 haplotypes with 137 variable nucleotide sites (60 singletons and 77 parsimony informative) and the nucleotide frequencies was: A = 33.0, T = 28.1, G = 15.4, and C = 23.5%. The presence of low-frequency of younger haplotypes with a large number of singletons indicates the absence of dominant haplotype. Hierarchical AMOVA showed highly significant genetic differentiation (FST = 0.56, p < .00) among the populations. The pattern of genetic differentiation was not consistent with geographical distributions. AMOVA identified three genetically heterogeneous clades. The significant finding of Imphal and Chaliyar was that they were found genetically close to each other, but geographically much isolated from each other. The inference of the study suggests that the hypothesis of the single panmictic population of C. striata in Indian waters is rejected.
Remote Sensing Image Enhancement Via Edge-Preserving Multiscale Retinex

Recently, an image enhancement receives a considerable research attention due to its wide application. In this paper, we propose a novel algorithm to enhance the contrast of remote sensing image while avoiding color distortion and detail loss. First, based on the Sobel operator strength, the local adaptive weighting parameter is obtained to penalize the fixed regularization parameter of original guided filtering. Then, the grayscale difference between flat patch and edge patch, which is caused by the fixed regularization parameter is amplified meanwhile without sacrificing the denoising performance. Finally, the Gaussian filtering of original multiscale retinex with color restoration is replaced with the guided filtering based on the Sobel edge detection operator to estimate the incident component of an image. Comparing with the previous algorithms, the proposed one can obtain more edge details and better color fidelity but with lower computational complexity and higher efficiency.
A speed-accurate self-sustaining head direction cell path integration model without recurrent excitation

ABSTRACT The head direction (HD) system signals HD in an allocentric frame of reference. The system is able to update firing based on internally derived information about self-motion, a process known as path integration. Of particular interest is how path integration might maintain concordance between true HD and internally represented HD. Here we present a self-sustaining two-layer model, capable of self-organizing, which produces extremely accurate path integration. The implications of this work for future investigations of HD system path integration are discussed.
Vertical Wind Profile Characterization and Identification of Patterns Based on a Shape Clustering Algorithm

Wind power plants are becoming a generally accepted resource in the generation mix of many utilities. At the same time, the size and the power rating of individual wind turbines have increased considerably. Under these circumstances, the sector is increasingly demanding an accurate characterization of vertical wind speed profiles to estimate properly the incoming wind speed at the rotor swept area and, consequently, assess the potential for a wind power plant site. This paper describes a shape-based clustering characterization and visualization of real vertical wind speed data. The proposed solution allows us to identify the most likely vertical wind speed patterns for a specific location based on real wind speed measurements. Moreover, this clustering approach also provides characterization and classification of such vertical wind profiles. This solution is highly suitable for a large amount of data collected by remote sensing equipment, where wind speed values at different heights within the rotor swept area are available for subsequent analysis. The methodology is based on $z$ -normalization, shape-based distance metric solution, and the Ward-hierarchical clustering method. Real vertical wind speed profile data corresponding to a Spanish wind power plant and collected by using commercial Windcube equipment during several months are used to assess the proposed characterization and clustering process, involving more than 100 000 wind speed data values. All analyses have been implemented using open-source R-software. From the results, at least four different vertical wind speed patterns are identified to characterize properly over 90% of the collected wind speed data along the day. Therefore, alternative analytical function criteria should be subsequently proposed for vertical wind speed characterization purposes.
Acute pancreatitis in elderly patients: a single-center retrospective evaluation of clinical outcomes

Abstract Introduction: Acute pancreatitis (AP) incidence in the elderly population has increased in the last years. However, the role of age as influencing factor on the AP clinical course is still debated. Methods: We reviewed clinical records of consecutive patients admitted with diagnosis of AP. Patients were divided in elderly (≥65 years) and non-elderly (<65 years). Primary endpoint was comparison of overall mortality. Secondary endpoint included ICU admission, in-hospital length of stay (LOS) and surgical procedures. Results: We enrolled 352 elderly and 532 non-elderly patients. A higher mortality rate (7.4% vs 1.9%; p < .001), ICU admission rate (18.9% vs 6.3%; p < .001) and prolonged length of hospital stay (9 (6–14) vs 7 (5–11.7) days; p = . 01) were registered in the ≥65 years group. Multivariate analysis identified age (OR: 3.5; 95% CI:1.645–7.555; p = .001), a higher Ranson score at admission (OR: 5.52; 95% CI:1.11–27.41; p<.001) and necrotic pancreatitis (OR: 8.6; 95% CI:2.46–30.27; p = .001) as independent predictors of mortality. Conversely age and necrotic pancreatitis were independent risk factors for higher LOS and ICU admission. Conclusions: Patients with AP and age ≥65 years have a higher mortality, ICU admission and prolonged LOS. Early recognition and prompt treatment are key elements to improve outcomes in this population.
Mapping Winter Wheat Planting Area and Monitoring Its Phenology Using Sentinel-1 Backscatter Time Series

Crop planting area mapping and phenology monitoring are of great importance to analyzing the impacts of climate change on agricultural production. In this study, crop planting area and phenology were identified based on Sentinel-1 backscatter time series in the test region of the North China Plain, East Asia, which has a stable cropping pattern and similar phenological stages across the region. Ground phenological observations acquired from a typical agro-meteorological station were used as a priori knowledge. A parallelepiped classifier processed VH (vertical transmitting, horizontal receiving) and VV (vertical transmitting, vertical receiving) backscatter signals in order to map the winter wheat planting area. An accuracy assessment showed that the total classification accuracy reached 84% and the Kappa coefficient was 0.77. Both the difference ( σ d ) between VH and VV and its slope were obtained to contrast with a priori knowledge and then used to extract the phenological metrics. Our findings from the analysis of the time series showed that the seedling, tillering, overwintering, jointing, and heading of winter wheat may be closely related to σ d and its slope. Overall, this study presents a generalizable methodology for mapping the winter wheat planting area and monitoring phenology using Sentinel-1 backscatter time series, especially in areas lacking optical remote sensing data. Our results suggest that the main change in Sentinel-1 backscatter is dominated by the vegetation canopy structure, which is different from the established methods using optical remote sensing data, and it is available for phenological metrics extraction.
The Indirect-Utility Criterion for Ranking Opportunity Sets over Time

A preference defined on a set of alternatives can be extended to a preference on the subsets of alternatives (named opportunity sets) in different ways. We specifically consider the application of the indirect-utility (IU) criterion in various stages, when both the alternatives and the preferences can change over time. In other words, we maintain the symmetry over time as far as criteria are concerned, but neither in the preferences, nor in the alternatives. We characterize this criterion by three testable axioms. Our study bears comparison with Krause (Economic Theory, 2008) for the two-period model.
Using a Hybrid Multiple-Criteria Decision-Making Technique to Identify Key Factors Influencing Microblog Users' Diffusion Behaviors in Emergencies: Evidence from Generations Born after 2000

Recently, some appalling events have attracted wide attention, such as the RYB (Red, Yellow and Blue) child abuse incident, the killing of stewardesses by online car-hailing, and the swine fever epidemic. With the development of mobile Internet, Microblog has accelerated the spread of emergencies. Diffusion behavior is affected by different motivations, and motivation theory declared that internal and external motivations are the direct influencing factors of users’ behavioral intention. Therefore, this study uses a hybrid multiple-criteria decision-making (MCDM) technique, combining the decision-making trial and evaluation laboratory (DEMATEL) and analytical network process (ANP) to identify the key factors influencing user’s diffusion behaviors in emergencies. According to the results of empirical study, perceived usefulness, perceived emotionality, perceived accessibility, information timeliness, and information authoritativeness are identified as the key factors influencing user’s diffusion behaviors. Finally, we propose some managerial suggestions to help stakeholders control online public opinion effectively.
Study of 3D Video Compression Using Nonlinear Depth Representation

The extensions of Advanced Video Coding (AVC) and High-Efficiency Video Coding (HEVC) for multiview video plus depth allow for the coding of 3D video scenes. During the standardization of these extensions, it was demonstrated that compression performance can often be improved by the application of nonlinear depth transformation prior to the compression and applying the respective backward nonlinear depth transformation after decompression. Such an approach is referred to as the compression of nonlinear depth representation (NDR). In this paper, a survey of the NDR technology is provided, but a large part of this survey comprises yet unpublished results. First, the motivation and rationale behind the idea of NDR are discussed. The options for the choice of nonlinear transformation are provided with the respective formulations. Also, the standardization of 3D video coding with NDR within ISO/IEC and ITU is discussed along with the experimental results that demonstrate benefits related to the application of NDR in 3D-AVC and 3D-HEVC. Furthermore, the experimental comparisons are provided for simulcast coding of multiview plus depth video using AVC and HEVC technology with and without the NDR. The similar experimental results are also provided for simulcast coding using the current version of Versatile Video Coding technology that is under development for the forthcoming standard of ISO/IEC (MPEG-I) and ITU. All of the experimental results have been obtained for the standard JVC-3V video test sequences under common test conditions for 3D video coding.
Bipartite Consensus for Multi-Agent Systems With Time-Varying Delays Based on Method of Delay Partitioning

Bipartite consensus protocol is designed for multi-agent systems with time-varying delays. Then, the bipartite consensus problem is transformed into a corresponding stability problem by methods of gauge transformation and state transformation. The Lyapunov–Krasovskii functional is constructed, and the linear matrix inequality theory based on methods of delay partitioning and free matrix integral inequality is used to obtain sufficient conditions for a bipartite consensus of multi-agent systems. Both the first-order and second-order multi-agent systems are investigated. Finally, the effectiveness of the obtained results is illustrated by virtue of simulation results.
Effects of French maritime pine bark extract (Oligopin®) supplementation on bone remodeling markers in postmenopausal osteopenic women: A randomized clinical trial

French maritime pine bark extract (FMPBE; Oligopin®), a dietary supplement, is rich in procyanidin. The objective of this study was to determine the effects of FMPBE on bone remodeling in postmenopausal osteopenic women. This randomized, double‐blinded, placebo‐controlled clinical trial was conducted on 40 postmenopausal osteopenic women. Individuals were randomly assigned to either FMPBE (250 mg/day, n = 21) or placebo (250‐mg starch/day, n = 19) for 12 weeks. Biochemical indices, including bone remodeling marker, were assessed before and after the intervention. After the 12‐week intervention, that is, FMPBE supplementation, a significant increase in bone alkaline phosphatase (BAP), procollagen type 1 amino‐terminal propeptide (P1NP) levels and a significant decrease in C‐terminal telopeptide of type I collagen (CTx1) were observed. Compared with the control group, FMPBE supplementation resulted in a significant increase in P1NP (0.015), BAP levels (0.001), and BAP/CTx1 ratio (p = 0.001) and a significant decrease in CTx1 levels (0.006). FMPBE supplementation for 12 weeks in postmenopausal osteopenic women produced favorable effects on bone markers. Meanwhile, further research is needed to determine whether FMPBE supplements can be used as a preventive strategy for bone loss in postmenopausal osteopenic women.
Expensive martingales

We characterize strictly arbitrage-free markets of European options where only a discrete set of options is traded. We then construct martingales which reprice all given options and which are ‘most expensive’ among all martingales with this property. We also present algorithms to adjust real-life market data and to construct expensive martingales while taking into account additional ‘weak’ information: estimated prices of more exotic products such as, for example, forward started options.
Incomplete Information Robustness

Consider an analyst who models a strategic situation in terms of an incomplete information game and makes a prediction about players’ behavior. The analyst’s model approximately describes each player’s hierarchies of beliefs over payoff-relevant states, but the true incomplete information game may have correlated duplicated belief hierarchies, and the analyst has no information about the correlation. Under these circumstances, a natural candidate for the analyst’s prediction is the set of belief-invariant Bayes correlated equilibria (BIBCE) of the analyst’s incomplete information game. We introduce the concept of robustness for BIBCE: a subset of BIBCE is robust if every nearby incomplete information game has a BIBCE that is close to some BIBCE in this set. Our main result provides a sufficient condition for robustness by introducing a generalized potential function of an incomplete information game. A generalized potential function is a function on the Cartesian product of the set of states and a covering of the action space which incorporates some information about players’ preferences. It is associated with a belief-invariant correlating device such that a signal sent to a player is a subset of the player’s actions, which can be interpreted as a vague prescription to choose some action from this subset. We show that, for every belief-invariant correlating device that maximizes the expected value of a generalized potential function, there exists a BIBCE in which every player chooses an action from a subset of actions prescribed by the device, and that the set of such BIBCE is robust, which can differ from the set of potential maximizing BNE.
Expanding phenomena over matrix rings

Abstract In this paper, we study expanding phenomena in the setting of matrix rings. More precisely, we will prove that • if A is a set of M 2 ⁢ ( 𝔽 q ) {M_{2}(\mathbb{F}_{q})} and | A | ≫ q 7 / 2 {\lvert A\rvert\gg q^{7/2}} , then | A ⁢ ( A + A ) | , | A + A ⁢ A | ≫ q 4 {\lvert A(A+A)\rvert,\lvert A+AA\rvert\gg q^{4}} , • if A is a set of SL 2 ⁢ ( 𝔽 q ) {\mathrm{SL}_{2}(\mathbb{F}_{q})} and | A | ≫ q 5 / 2 {\lvert A\rvert\gg q^{5/2}} , then | A ⁢ ( A + A ) | , | A + A ⁢ A | ≫ q 4 {\lvert A(A+A)\rvert,\lvert A+AA\rvert\gg q^{4}} . We also obtain similar results for the cases of A ⁢ ( B + C ) {A(B+C)} and A + B ⁢ C {A+BC} , where A , B , C {A,B,C} are sets in M 2 ⁢ ( 𝔽 q ) {M_{2}(\mathbb{F}_{q})} .