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Coreference resolution is one of the most critical issues in various applications of natural language processing, such as machine translation, sentiment analysis, summarization, etc. In the process of coreference resolution, in this paper, a fully connected neural network approach has been adopted to...

Objective and Motivation: Pulse wave velocity (PWV) is known to be associated with vascular ageing, a risk factor for cardiovascular disease (CVD) [1]. The European gold standard measurement of PWV requires an experienced operator to measure pulse waveforms at multiple sites, sometimes together with...

Although the individuals' transport behavioural modelling is a complex task, it can produce a notable social and economic impact. In this paper, Fuzzy Cognitive Maps are explored to represent the behaviour and operation of such complex systems. An automatic approach to extract mental representations...

To effectively score pages with uncertainty in web social networks, we first proposed a new concept called transition probability matrix and formally defined the uncertainty in web social networks. Second, we proposed a hybrid page scoring algorithm, called WebScore, based on the PageRank algorithm and...

Background: The lack of acceptance in clinical routine represents a major obstacle for carotid-femoral pulse wave velocity (cfPWV) measurements. We thought to include PWV measurements into the 12-channel ECG, which is performed routinely. Methods: Using the conventional electrode position for the 12...

In practice, suppliers often provide retailers with forward financing to increase demand or decrease inventory. This paper proposes a new and practical joint replenishment and delivery (JRD) model by considering trade credit. However, because of the complex mathematical properties of JRD, high-quality...

A house based survey was conducted during 2007–2009 in a representative sample of population in Wardha district implementing Directly Observed Treatment Short Course strategy for tuberculosis (TB) control since 2001. The objective was to estimate prevalence of bacillary pulmonary TB (PTB) in individuals...

Background: Abdominal aortic aneurysm (AAA) is usually asymptomatic and has an extremely high mortality if rupture occurs. Therefore, early detection and intervention are important. However, AAA is most often detected as an accidental finding during clinical imaging for other purposes [1]. Considering...

Exosomes are key regulators of cell-to-cell communication, becoming valuable tool as disease biomarker and in the development of new therapeutic strategies. We aimed to determine the role of endothelial progenitor cell (EPC)-derived exosomes (EXO) in vascular remodelling induced by flow. C57BL/6 mice...

Since the multigranulation rough sets (MGRS) can be considered as the compositions of multi–independent Pawlak's rough sets, the multigranulation rough set rules (MGRS rules) are then the compositions of decision rules, which are supported by multi–independent Pawlak's rough sets. To measure...

Purpose: Investigating the biomechanical role of smooth muscle cells (SMCs) in arteries requires knowledge of their structural distributions. Compared to histology, 3D microscopy offers non-destructive ex vivo imaging under realistic conditions [1]. Robust 3D segmentation of SMCs, however, is challenging....

Background: Aging and hypertension often co-occur, which complicates distinguishing their biomechanical effects on arteries clinically. While aortic elastin (half-life ~70 years) is reduced in human aging, in mouse aging (lifespan ~2 years) it remains mostly intact. Knock-out of elastin-associated glycoprotein...

To obtain reliable results in a qualitative multi-attribute group decision-making (MAGDM) problem, how to retain the evaluation information as much as possible and how to determine the reasonable weights of experts and attributes are two important issues. Proportional hesitant fuzzy linguistic term set...

Purpose: Ultrasonographic measurement of flow mediated dilatation (FMD) of brachial artery is the gold standard non-invasive technique to measure endothelial function. However, measurement of FMD is technically cumbersome, operator dependent and requires trained manpower, all of which limits its clinical...

A new wearable sensor using millimetre-wave radar and electromagnetic technology provides 64 signals reflected from one radar sinusoidal signal beamed around the radial artery. It is non-invasive, can be non-contact, and is potentially simpler in acquiring the radial pulse then tonometry. This study...

This work aimed to summarize the benefits of physical activity and the importance of counseling by a physician to promote physical activity in a primary health care setting in Saudi Arabia. Despite established evidence that physical activity is effective for reducing the risk of non-communicable diseases,...

Background: Large artery stiffness is an index of vascular ageing associated with cardiovascular mortality. While traditional risk factors for arterial stiffness are known, the contribution of socioeconomic factors are less reported. We sought to determine the relationship between arterial stiffness...

Background: The changes experienced by the arterial system due to ageing are still incompletely understood. The aim of this study is to analyze the 10-year longitudinal evolution of input impedance parameters and wave reflection indices in a middle-aged population, and how these effective changes compare...

Background: Both blood pressure variability (BPV) and arterial stiffness (AS) are significantly influenced by age and sex. However, whether the association between BPV and AS differs with age and sex remains unclear. We examined age and sex differences in the association between brachial and central...

Age-related increases in aortic stiffness, assessed by pulse wave velocity (PWV), predict cardiovascular (CV)-related mortality, but the upstream drivers are incompletely understood. Purpose: To determine if higher circulating levels of the gut microbiome-derived metabolite trimethylamine-N-oxide (TMAO)...

A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data. Although different types of polynomial functions have been used for low complexity neural network architectures earlier for stock market prediction,...

Objectives: To investigate the role of peripheral augmentation index (AIx) for the prediction of prevalent cardiovascular disease (CVD) and total mortality in the general population in age- and sex- specific manner. Methods: AIx was measured in 11,250 participants of the population-based Gutenberg Health...

Background: Cerebral microvascular dysfunction may contribute to depression via disruption of brain structures involved in mood regulation, but evidence is scarce. The retina allows for direct visualisation of a microvascular bed that shares anatomical and physiological similarities with the cerebral...

Background: Individuals whose arteries appears abnormally healthy in comparison to their CV risk factor burden (supernormal vascular aging, SUPERNOVA) represent an ideal model to discover novel pathways of cardiovascular protection. Purpose: 1) to introduce a novel definition of vascular age, as predicted...

Purpose: To define and compare cardiovascular (CV) health scores (CHS) from adolescence (17 yrs) to emerging adulthood (24 yrs) using longitudinal data from a large British birth cohort. Methods: 3142 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) study attended clinical...

The notion of –ideal is introduced in lattice implication algebras. Firstly, the equivalent conditions of –ideals and –ideals are given in lattice implication algebras. Then the proposition of –ideal is investigated in lattice implication algebras. Next, the relations between...

Strategic decisions such as mergers, acquisitions and joint ventures have a strong effect on firm performance. In order to be successful in highly competitive environments firms have to make right and on time strategic decisions. However, the nature of making the right strategic decision is complex and...

In this paper, we propose a feature-weighted mountain clustering method. The proposed method can work well when there are noisy feature variables and could be useful for obtaining initial estimat of cluster centers for other clustering algorithms. Results from color image segmentation illustrate the...

Introduction: In adults, aging is associated with a rise in blood pressure (BP) and a disproportionate increase in central systolic blood pressure (cSBP) relative to brachial SBP (bSBP) (i.e. reduced aortic to radial pulse pressure amplification (PPamp)). But changes in brachial and central BP have not...

Background: In-vivo assessment of aortic characteristic impedance (Zao) and total arterial compliance (CT) has been hampered by the need for invasive methods to access simultaneous recordings of aortic pressure and flow, wall thickness, and cross-sectional area. In contrast, regional pulse wave velocity...

This study aims to investigate the incidence and determinants of colorectal cancer (CRC) and its screening in District of Columbia (DC), and identify modifiable risk factors. Data (2000–2009) from the DC Cancer Registry, Behavioral Risk Factor Surveillance System (BRFSS-DC) and Surveillance Epidemiology...

Lung cancer ranks as the top cancer worldwide in terms of incidence and constitutes a major health problem. About 90% of lung cancer cases are diagnosed at advance stage where treatment is not available. Despite evidence that lung cancer screening improves survival, guidelines for lung cancer screening...

Although brachial systolic blood pressure (SBP) is the overall best predictor of future cardiovascular risk for the entire hypertensive population, there is much that can be learned from assessing diastolic blood pressure (DBP) in relation to simultaneous levels of SBP, because the former is not distorted...

A new methodology for processing non-normal fuzzy sets is proposed. To break the predominant constraint on normality of fuzzy numbers the concept of fuzzy semi-numbers is introduced Then it is shown how to generalize operations defined on fuzzy numbers onto a family of fuzzy semi-numbers with possibly...

The decision-making trial and evaluation laboratory (DEMATEL) method has been applied to solve numerous multi-criteria decision-making (MCDM) problems where crisp numbers are utilized in defining linguistic evaluation. Previous literature suggests that the intuitionistic fuzzy DEMATEL (IF-DEMATEL) can...

This paper is a contribution to the study of two distinct kinds of logics for modelling uncertainty. Both approaches use logics with a two-layered modal syntax, but while one employs classical logic on both levels and infinitely-many multimodal operators, the other involves a suitable system of fuzzy...

We introduce the concept of a fuzzy total preorder. Then we analyze its numerical representability through a real-valued order-preserving function defined for each -cut.

This paper considers the greening policies in a decentralized channel between one manufacturer and one retailer in a fuzzy decision making environment. We consider the manufacturing cost and the parameters of demand function as the fuzzy variables. Based on the different market structures, we develop...

Remanufacturing has been attracting attentions of global manufacturers as an important sustainable development strategy. Component oriented remanufacturing decision-making for complex product involving two phases is proposed in this paper. The first phase is to decide which components to be remanufactured...

Tremendous effort has been exerted over the past few decades to construct multi-attribute decision functions with the capacity to model heterogeneous interrelationships among attributes. In this paper, we report an empirical study aiming to test whether or not considering interrelationships among attributes...

In this work, using the identification between implication operators and aggregation functions, we study the implication operators that are recovered from overlap functions. In particular, we focus in which properties of implication operators are preserved. We also study how negations can be defined...

Time series forecasting has been an important tool in many areas such as agriculture, finance, management, production or sales. In recent years, a large literature has evolved on the use of artificial neural networks (ANN) in time series forecasting. However conventional ANN is limited by its instantaneous...

Minor component analysis (MCA) are used in many applications such as curve and surface fitting, robust beam forming, and blind signal separation. Based on the generalized eigen-decomposition, we present a completely different approach that leads to derive a novel MCA algorithm. First, in the sense of...

This paper aims at developing a voltage-based impedance model-reference controller using fuzzy uncertainty estimator for the robust control of electrically driven robot manipulators. The proposed control scheme not only utilizes a desired impedance as a reference model, but also provides the integrated...

During the outbreak of novel coronavirus pneumonia, the number of confirmed cases and deaths in Hubei province of China increased sharply, and the situation in Hubei was more severe than that in non-Hubei, so we do a research on psychological health status evaluation of the public in Hubei and non-Hubei...

In this paper, we propose a new entropy measure with geometrical interpretation of intuitionistic fuzzy sets. Compared with the entropy measure provided by Szmidt and Kacprzyk, the new entropy formula in this paper can measure both fuzziness and intuitionism for intuitionistic fuzzy sets. According to...

This paper presents a novel approach towards showing how contractor in agent-based simulation for complex warfare system such as multi-sensor battlefield reconnaissance system can be selected in Contract Net Protocol (CNP) with high efficiency. We first analyze agent and agent-based simulation framework,...

Artificial Intelligence (AI) is part of our everyday life and has become one of the most outstanding and strategic technologies. Explainable AI (XAI) is expected to endow intelligent systems with fairness, accountability, transparency and explanation ability when interacting with humans. This paper describes...