Document-level event extraction (DEE) aims at extracting event records from given documents. Existing DEE methods handle troublesome challenges by using multiple encoders and casting the task into a multi-step paradigm. However, most of the previous...
11 August 2014
This work presents the evaluation of the stress symptoms associated to the task of caring for a dependent relative at home. The role played by variables such as type of caregiver (nurse/non-nurse), the relative dependency level, the number of hours p...
9 March 2021
Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly...
Most existing medical event extraction methods have primarily adopted a simplex model based on either pattern matching or deep learning, which ignores the distribution characteristics of entities and events in the medical corpus. They have not catego...
27 June 2019
The high sound pressure level generated by impulse noise produced in an indoor shooting range makes it necessary to protect the hearing of the people it affects. Due to the need for verbal communication during training at a shooting range, level-depe...
Some hydropower reservoirs are operated under different constraint levels. For these reservoirs, a multi-level (ML) dependent-chance (DC) model is established. In the model, only when the higher-level constraints are satisfied are the lower-level con...
The presented research addresses the problem of dependency analysis of the ultrasonic signal measured by a sensor in an engine oil bath. The dependency analysis is performed on a selected ultrasonic signal sensor solution containing its own generator...
A 3.0 Gsymbol/s/lane receiver is proposed herein to acquire near-grounded high-speed signals for the mobile industry processor interface (MIPI) C-PHY version 1.1 specification used for CMOS image sensor interfaces. Adaptive level-dependent equalizati...
30 January 2019
The use of hearing protectors in various noisy workplaces is often necessary. For safety reasons, auditory information may be required to correctly localize the direction of an auditory danger signal. The purpose of this study was to verify if the se...
We investigate some new aspects of the nonlinear interaction between a three-level
Transfusion-dependent thalassemia is the most severe form of thalassemia; patients require regular blood transfusions to maintain their hemoglobin level. The COVID-19 pandemic has disrupted the routine measures for controlling chronic diseases like t...
The goal of this research is to investigate an inventory model for degrading commodities with linear selling prices and nonlinear green level-dependent demand for an item. The pre-payment option with a one-time flat reduction on the product’s s...
Various manmade features (diversions, dredging, regulation, etc.) have affected water levels in the Great Lakes and their outlets since the 19th century. The goal of this study is to analyze the impacts of such features on the stationarity and depend...
The time-resolved fluorescence spectrum of a driven two-level system is investigated using a time-dependent variational method. We first establish the transient build-up of the Mollow triplet via the Lindblad master equation under the rotating-wave a...
Tactical production–distribution planning in paper manufacturing involves hierarchical decision-making under hybrid uncertainty, where aleatory randomness (demand fluctuations, machine variations) and epistemic uncertainty (expert judgments, ma...
Forest edge effects are commonly interpreted as radial gradients from the edge toward the interior, but this assumption may oversimplify the spatial organization of heterogeneous tropical forest fragments. Here, we integrated field-based phytosociolo...
Aspect-level sentiment analysis is used to predict the sentiment polarity of a specific aspect in a sentence. However, most current research cannot fully utilize semantic information, and the models lack robustness. Therefore, this article proposes a...
In present real life situations, the stock and expiration date directly impact on the demand of an item. In this context, this research work develops an inventory model for stock and expiration rate-dependent demand under a two-level trade credit pol...
18 August 2022
Introduction: The decline in health and abilities as a result of the aging process leads to a growing need for care and various forms of support. The aim of this study was to find out the level and the main areas of care dependency among older person...
Introduction: Stroke is a severe neurological condition associated with high rates of mortality and disability. Objective: This systematic review aimed to analyze the efficacy of early mobilization (EM) on the quality of life and the dependency level...
Inventory models have evolved to incorporate a wide range of realistic factors, including growing items, imperfect quality, deterioration, and sustainability concerns. While these areas have received significant individual attention, no model has yet...
The level of renewable energy use and economic development of a country, as separate indicators, have an influence on the level of energy resource imports, but the mutual impact of renewable energy sources and gross national product on the growth or...
17 November 2020
Background: The increasing dependence care in patients hospitalized in acute hospitals around the world entails classification systems heeding the wide range of care dependency levels generated by the many different types of dependent patients. This...
Oxygen extraction fraction (OEF), the fraction of oxygen that tissue extracts from blood, is an essential biomarker used to directly assess tissue viability and function in neurologic disorders. In ischemic stroke, for example, increased OEF can indi...
For manufacturing systems such as hot rolling, where there is no wait in the production process, breaks between adjacent production batches provide “opportunities” for predictive maintenance. With the extensive application of industrial r...
The design strategies for flood risk reduction in coastal towns must be informed by the likelihood of flooding resulting from both precipitation and coastal storm surge. This paper discusses various bivariate extreme value methods to investigate the...
Resource dependence pressure helps explain why some manufacturing firms remain tied to resource-based business paths even when green transformation is needed. Existing resource curse studies have mainly examined countries, regions, and resource-based...
The nitrogen-vacancy (NV) color center in chemical vapor deposition (CVD) diamond has been widely investigated in quantum information and quantum biosensors due to its excellent photon emission stability and long spin coherence time. However, the tem...
In patients with lung cancer (LC), understanding factors that impact the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-spike antibody (SAb) titers over time is critical, but challenging, due to evolving treatments, inf...
Aspect-level sentiment classification has received more and more attention from both academia and industry due to its ability to provide more fine-grained sentiment information. Recent studies have demonstrated that models incorporating dependency sy...
We report on the rationale and design of an ongoing National Institute of Mental Health (NIMH) sponsored R61-R33 project in major depressive disorder (MDD). Current treatments for MDD have significant limitations in efficacy and side effect burden. T...
The problem of verifying ergodicity and calculating the stationary distribution for continuous-time multidimensional Markov chains with a block tridiagonal generator (Quasi-Birth-and-Death (
Objective: This study aimed to investigate the relationship between nutritional status, assessed by the Controlling Nutritional Status (CONUT) score, and functional recovery in patients with stroke undergoing inpatient rehabilitation. Methods: A tota...
Aspect-based sentiment analysis is a fine-grained task where the key goal is to predict sentiment polarities of one or more aspects in a given sentence. Currently, graph neural network models built upon dependency trees are widely employed for aspect...
29 October 2020
Background: In-hospital mortality is a key indicator of the quality of care. Studies so far have demonstrated the influence of patient and hospital-related factors on in-hospital mortality. Currently, new variables, such as nursing workload or the le...
(1) Background: Nursing managers as responsible personnel are required to think outside the box in order to make useful decisions using an appropriate style in a creative manner. This study aims to investigate the relationship between nursing manager...
Rapid urban expansion and chaotic urban land-use patterns cause many socio-economic and environmental issues, e.g., traffic congestion and urban heat islands; thus, scientific planning considering land-use trade-offs and layout optimization is highly...
Cryogenic storage systems require precise management of boil-off gas (BOG) to prevent pressure buildup caused by external heat ingress. This study investigates sloshing-induced heat transfer and BOG generation in a double-shell vacuum-insulated cryog...
In this paper, the improvement of the cascaded prediction method was presented. Three types of main predictor block with different levels of complexity were compared, including two complex prediction methods with backward adaptation, i.e., extension...
Vitamin K acts as a coenzyme of carboxylase, catalyzing the carboxylation of several vitamin K dependent proteins. Beyond its well-known effects on blood coagulation, it also exerts relevant effects on bone and the vascular system. In this review, we...
An effective correction method for stereological bias is required because of the importance of accurate assessment of mineral liberation of ore particles. Stereological bias is error caused by the estimation of a three-dimensional liberation state ba...
In this study, an interval quadratic fuzzy dependent-chance programming (IQFDCP) model is proposed for irrigation water management under uncertainty. This model can deal with the interval and fuzzy uncertainties encountered in optimal irrigation wate...
Accurate and fast object recognition is crucial in applications such as automatic driving and unmanned aerial vehicles. Traditional object recognition methods relying on image-wise computations cannot afford such real-time applications. Object propos...
Transition to renewable energy leads to assumed economic diversification; however, the institutional risks for hydrocarbon-dependent economies remain high. This paper identifies the conditions under which transitioning economies enter a novel depende...
Aflatoxin B1 (AFB1) and patulin (PAT) are prevalent foodborne mycotoxins with hepatotoxic potential, but the hepatic effects of combined exposure remain largely unclear. This study investigated the hepatotoxic consequences of co-exposure to AFB1 and...
This paper applies the context-dependent total-factor energy efficiency (CD-TFEE) to determine the multi-layer disaggregate energy efficiency frontiers of twenty administrative regions in Taiwan for the year of 2016. The CD-TFEE overcomes the shortco...
Two-level quantum systems are building blocks of quantum technologies, where the qubit is the basic unit of quantum information. The ability to design driving fields that produce prespecified evolutions of relevant physical observables is crucial to...
Target-oriented opinion words extraction (TOWE) is a novel subtask of aspect-based sentiment analysis (ABSA), which aims to extract opinion words corresponding to a given opinion target within a sentence. In recent years, neural networks have been wi...
Solder joint fatigue is one of the critical failure modes in ball-grid array packaging. Because the reliability test is time-consuming and geometrical/material nonlinearities are required for the physics-driven model, the AI-assisted simulation frame...
Silver nanowires (AgNWs) have been investigated as alternatives to indium tin oxide in transparent conductive films (TCFs) for electronics. However, AgNW TCFs still pose stability issues when exposed to thermal, chemical, and mechanical stimuli. Here...
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