3,604 Results Found

The unsolved problem in three-dimensional surgical planning for patients with facial deformity, dysgnathia, or asymmetry is the lack of a normative database of “norm skulls” that can be used as treatment objectives. A study was conducted...

Recently, with the popularization of intelligent terminals, research on intelligent big data has been paid more attention. Among these data, a kind of intelligent big data with functional characteristics, which is called functional data, has attracte...

Three-dimensional (3D) computer-aided simulation has revolutionized orthognathic surgery treatment, but scarce 3D cephalometric norms have been defined to date. The purposes of this study were to (1) establish a normative database of 3D Burstone ceph...

Tobacco use kills more than eight million individuals each year, and results in substantial economic and human capital loss across nations. While effective supply-side solutions to tobacco control exist, these approaches are less effective at promoti...

The main idea of principal component analysis (PCA) is to transform the problem of high-dimensional space into low-dimensional space, and obtain the output sample set after a series of operations on the samples. However, the accuracy of the tradition...

This paper presents, by taking the elastic string vibration problem as the model problem, the space–time reduced element and the corresponding adaptive analysis algorithm. The solution of the space–time reduced element is extracted from t...

This paper presents an approach to conduct risk assessments of complex incentive systems, using a case study of the normative Peer Review Process (PRP). This research centers on appliances and adaptations of the Conflicting Incentives Risk Analysis (...

This paper proposes a novel yet simple approach to the adaptive finite element (FE) analysis of the first-order Initial Value Problems (IVPs) in the maximum norm by introducing the reduced element technique. In the present approach, the FE solution u...

The implementation of Quality Management Standards (QMS) in health laboratories is essential to ensuring the traceability, reliability, and reproducibility of results, thus supporting compliance and continuous improvement. This study identifies and c...

Background: Bone-conducted (BC) VEMPs provide important tools for measuring otolith function. However, two major drawbacks of this method are encountered in clinical practice—small n10 amplitude and averaging technique. In this study, we presen...

The environmental education and the promotion of the sustainability are two of the main axes in the international guidelines around the world. Education institutions must play an active role to achieve environment and sustainability awareness, and go...

The methodologies for calculating exhaust emissions and fuel consumption, which are given in the normative documents, do not take into account the fact that vehicles equipped with liquefied petroleum gas (LPG) or compressed natural gas (CNG) systems...

Background: High-resolution ultrasound of the tibial nerve has been used for screening of several neurologic disorders, but normative reference values of tibial nerve cross-sectional areas (CSA) have not been well established. Thus, the present meta-...

Previous environmental sustainability studies have examined only limited type of pro-environmental behaviour (PEB; e.g., recycling), but have not explored relationships among various types or dimensions of PEBs. This paper explores six types of PEBs...

The purpose of this study is to advance theorizing about how small groups understand health issues through the use of social network analysis. To achieve this goal, an adapted cognitive social structure examines group social norms around a specific h...

This analysis introduces a generalization of the basic statistical concepts of expectation values and variance for non-Euclidean metrics induced by L^p-norms. The non-Euclidean L^p means are defined by exploiting the fundamental property of minimizing...

Background: Instrumental motion analysis constitutes a promising development in the assessment of motor function in clinical populations affected by movement disorders. To foster implementation and facilitate interpretation of respective outcomes, we...

Recent years have witnessed the intensive development of live streaming E-commerce, an emerging business mode. Although it contributes to economic growth, various forms of chaos show up and disturbs the market order. Therefore, from 1 July 2020, the...

This study examines the cultural and social dynamics influencing the low-carbon energy transition in Poland and Germany, highlighting the pivotal role of social norms and environmental identity in shaping public engagement with sustainable energy pol...

Neuro-oncology research is broad and includes several branches, one of which is neuroimaging. Magnetic resonance imaging (MRI) is instrumental for the diagnosis and treatment monitoring of patients with brain tumors. Most commonly, structural and per...

Escalating environmental challenges have increased interest in understanding pro-sustainability behaviours (PSBs) within the built environment. Grounded in the Theory of Planned Behaviour (TPB) and the Value–Belief–Norm (VBN) Theory, this...

From a sustainable material management perspective, vacant houses represent material stock and still have potential in the circular economy. This article addresses two aspects of understanding and managing vacant houses: the difficulty of understandi...

This study presents the results of the application of an instrument designed to assess gender stereotypes in a cohort of 672 Chilean students. An exploratory factor analysis identified three main dimensions: traditional masculinity, feminine caregivi...

Foodborne illness remains a persistent public health issue, yet domestic food safety practices are shaped by individual knowledge, social expectations, and gendered norms. This study examines how gender norms and expectations shape Australian consume...

The diagnosis of polycystic ovary syndrome (PCOS) remains challenging due to limited data regarding normative cut-offs for the diagnostic features in different subpopulations. We aim to conduct a systematic review, build a comprehensive repository of...

Introduction: Gait analysis is a vital tool in the assessment of human movement and has been widely used in clinical settings to identify potential abnormalities in individuals. However, there is a lack of consensus on the normative values for gait m...

Although wireless sensor networks (WSNs) have been widely used, the existence of data loss and corruption caused by poor network conditions, sensor bandwidth, and node failure during transmission greatly affects the credibility of monitoring data. To...

Background: Currently, there is a need for approaches to understand and manage the multidimensional autism spectrum and quantify its heterogeneity. The diagnosis is based on behaviors observed in two key dimensions, social communication and repetitiv...

Weathering of soil minerals provides base cations that buffer against acidity, and nutrients that support plant growth. In general, direct observations of soil minerals are rare; however, their abundance can be determined indirectly through soil geoc...

Excellent performance, real time and strong robustness are three vital requirements for infrared small target detection. Unfortunately, many current state-of-the-art methods merely achieve one of the expectations when coping with highly complex scene...

Singular spectrum analysis (SSA) is a non-parametric forecasting and filtering method that has many applications in a variety of fields such as signal processing, economics and time series analysis. One of the four steps of the SSA, which is called t...

In the present paper, we first introduce different types of fuzzy continuity for mappings between fuzzy F-normed linear spaces and the relations between them are investigated. Secondly, the principles of fuzzy functional analysis are established in t...

The normative framework is one of the constitutive edges of state regulation of religion. It contributes to the configuration of different forms of relations between state and religions. This can be observed in at least three areas. First, in the way...

Access to healthcare for refugees is often contextually and conceptually diverse. This study set out to evaluate the efficiency of the healthcare services provided for Syrian refugees in Turkey and other refugee response and resilience plan (3RP) sta...

Tensor Robust Principal Component Analysis (TRPCA) plays a critical role in handling high multi-dimensional data sets, aiming to recover the low-rank and sparse components both accurately and efficiently. In this paper, different from current approac...

The aim of this study was to evaluate Special Judo Fitness Test (SJFT) results specific to the population of male judoka and to develop age category norms for junior and senior athletes. A systematic review of the existing literature was conducted to...

The perception of football as a male-dominated sport by society, coupled with the socio-cultural and economic barriers faced by women, has constrained their presence in the domain of football and revealed the manifestation of gender norms within the...

This study explores low-carbon behavior (LCB), considering a number of psychological predictors deemed important according to the theory of planned behavior and the norm-activation model. Four distinct clusters were identified by conducting a cluster...

In this paper, we extend the definition of tensor products from using an invertible matrix to utilising right-invertible matrices, exploring the algebraic properties of these new tensor products. Based on this novel definition, we define the concepts...

Objective—To design and test a motion analysis protocol for the gait analysis of adult German Shepherd (GS) dogs with a focus in the analyses of their back movements. Animals—Eight clinically healthy adult large-sized GS dogs (age, 4 &plu...

We develop SAFIRE (Self-Attention Fuzzy-Inspired Rule Estimator), a differentiable fuzzy-inspired rule-scoring surrogate for binary medical tabular classification coupling multi-head self-attention, Gaussian membership functions, and Hard Concrete ga...

This study explores the news media Twitter messaging on the issue of Grexit, as an exemplary case of transmediatisation of problems in highly polarized contexts. Our analysis focuses on media tweets (in English, French, Italian, and Greek) using the...

A technical challenge for workload prediction in microservice systems is how to capture both the dynamic features of workload and evolving dependencies among microservices. The existing work focused mainly on modeling dynamic features without taking...

Allocating fish quota is a hotly disputed issue across the world, and many different criteria have been employed to achieve it. However, little attention has been devoted to examining the fairness of those criteria. This study aims to fill this gap b...

Grounded in an integrated conceptual framework combining the Cognitive–Affective–Conative model, Social Cognitive Theory, and the Theory of Planned Behavior, this study examines the direct and indirect pathways through which environmental...

Conventional linear discriminant analysis (LDA) and its graph-based extensions encounter challenges with class overlap, uneven sampling, and inflexible neighborhood selection. Although reverse nearest neighbor (RNN) graphs address data density, stand...

Estimating the fundamental matrix (FM) using the known corresponding points is a key step for three-dimensional (3D) scene reconstruction, and its uncertainty directly affects camera calibration and point-cloud calculation. The symmetric epipolar dis...

We develop a direct Hilbert–Schmidt analysis of classical and sequential conformable fractional boundary value problems. For the classical problem of order $\gamma \in (1,2]$, factorizing the Green kernel before squaring preserves a cancellatio...

Functional Mobility Assessment (FMA) is a challenging task. One example of an FMA is an instrumented Timed Up and Go test (iTUG). Sensor-based interventions are more effective than traditional interventions that use clinical tests to assess a patient...

In non-linear finite element analysis, the local structural response may exhibit significant sensitivity to spatial discretisation, even when the global structural response remains practically unchanged. Classical h-, p-, and r-adaptive procedures, a...