21 September 2022
In the contemporary world of work, workers are engaged more frequently in career choices to cope with changing work and working conditions. In this scenario, the well-being of workers is under threat. This study aims to examine the effect of career a...
Most prior research on adolescents’ exposure to interparental violence has focused on externalizing outcomes such as aggressive behavior, whereas relatively little attention has been given to NSSI. This study aimed to examine the association be...
Subjective well-being is an essential indicator for evaluating the quality of life of college athletes. According to self-determination theory, eudaimonic motivation is a positive psychological characteristic that is supposed to have a favorable infl...
One of the reasons for our interest in the past, or history, is our concern for the future, including the future of our planet and its many and varied inhabitants. It has been suggested that “historians are particularly suited” to exploring and teach...
The counterfort retaining wall is one of the most frequent structures used in civil engineering. In this structure, optimization of cost and CO2 emissions are important. The first is relevant in the competitiveness and efficiency of the company, the...
With the advent of the big data era, it is vital to explore the information involved in this type of data. With the continuous development of higher education, the K-means clustering algorithm is widely used to analyze students’ academic data....
Traditional information retrieval systems return a ranked list of results to a user’s query. This list is often long, and the user cannot explore all the results retrieved. It is also ineffective for a highly ambiguous language such as Arabic. The mo...
The k-means problem is one of the most popular models in cluster analysis that minimizes the sum of the squared distances from clustered objects to the sought cluster centers (centroids). The simplicity of its algorithmic implementation encourages re...
This paper proposes a feature selection method that is effective in distinguishing colorectal cancer patients from normal individuals using K-means clustering and the modified harmony search algorithm. As the genetic cause of colorectal cancer origin...
Accurate assessment of the pediatric mandible using dental cone-beam computed tomography (CBCT) is crucial despite radiation exposure concerns. The fast non-local means (FNLM) algorithm reduces noise in CBCT images, but its performance depends on par...
Viktor Frankl attributes significant importance to religion in relation to the human quest for meaning. According to Frankl, religion maintains its existence and continues offering guidance in the search for meaning irrespective of worldly conditions...
Precise estimation of water temperature plays a key role in environmental impact assessment, aquatic ecosystems’ management and water resources planning and management. In the current study, convolutional neural networks (CNN) and long short-te...
To address the issues of non-stationarity, noise interference, and insufficient discriminative power of traditional fault feature extraction methods in rolling bearing vibration signals, this paper proposes a fault diagnosis method based on multi-sca...
Traditional breast cancer detection algorithms require manual extraction of features from mammogram images and professional medical knowledge. Still, the quality of mammogram images hampers this and extracting high–quality features, which can r...
Background and Objectives: Research on suicidal behavior (SB) has frequently focused more on risk factors than protective factors. Since the historic works of Viktor E. Frankl, who inquired how some Nazi concentration camps prisoners maintained their...
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Forgiving others may play an important role in achieving meaning in life as it offers a valuable platform for deliberate moral acts of acceptance of positive affect, behaviour, and cognition towards a transgressor. The aim of this paper was to analys...
27 May 2021
This study explored the association between meaning in life and readiness for political participation based on meaning-in-life profiles among Chinese late adolescents. A total of 1030 college students (mean age = 19.69 ± 1.47 years) in Hong Kong part...
17 May 2022
Early adulthood, between 18 and 25, is viewed as a decisive period of life for the prevention and treatment of anxiety and depression. Although the topic of their mutual relationship is well-known, little has been uncovered about the mechanism underl...
The relationship between trait gratitude and subjective well-being is well documented in the literature. Recently, growing attention has been given to examining which factors are determinants in the relationship. However, there are no studies to pres...
K-means clustering is a fundamental tool in data mining, yet its scalability and efficacy decline when faced with massive datasets. In this work, we introduce BiModalClust, a novel clustering algorithm that leverages a bimodal optimization paradigm t...
Qualitative interviews with participants in the cocoa (Theobroma cacao) supply chain in Costa Rica and the United States were conducted and supplemented with an analysis of the marketing literature to examine the prospects of organic and Fairtrade ce...
To address the insufficient global search efficiency of the original Whale Optimization Algorithm (WOA), this paper proposes an enhanced variant (ImWOA) integrating three strategies. First, a dynamic cluster center-guided search mechanism based on K-...
In this paper, Normalized Weighted Bonferroni Mean (NWBM) and Normalized Weighted Bonferroni Harmonic Mean (NWBHM) aggregation operators are proposed. Besides, we check the properties thereof, which include idempotency, monotonicity, commutativity, a...
Soil is central to human wellbeing through its provision of critical ecosystem services, including food and clean water. These services emerge through the self-organising nature of the soil system. Here, we consider the lessons learnt from the evolut...
29 April 2022
Scientific achievements concerning the direct relation between personality traits and positive orientation among patients with multiple sclerosis do not explain the role of potential mediators. In fact, some researchers argue that the traits–po...
Automatic clustering problems require clustering algorithms to automatically estimate the number of clusters in a dataset. However, the classical K-means requires the specification of the required number of clusters a priori. To address this problem,...
Mean Shift is a flexible, non-parametric clustering algorithm that identifies dense regions in data through gradient ascent on a kernel density estimate. Its ability to detect arbitrarily shaped clusters without requiring prior knowledge of the numbe...
To overcome the shortcoming of the Fuzzy C-means algorithm (FCM)—that it is easy to fall into local optima due to the dependence of sub-spatial clustering on initialization—a Multi-Strategy Tuna Swarm Optimization-Fuzzy C-means (MSTSO-FCM...
Clustering is a popular data analysis and data mining problem. Symmetry can be considered as a pre-attentive feature, which can improve shapes and objects, as well as reconstruction and recognition. The symmetry-based clustering methods search for cl...
The search algorithm based on symbiotic organisms’ interactions is a relatively recent bio-inspired algorithm of the swarm intelligence field for solving numerical optimization problems. It is meant to optimize applications based on the simulat...
Spiritual travel is increasingly viewed as an asset for the development of sustainable tourism. A great deal of research has been conducted on travel motivation to comprehend spiritually-motivated travel, but less is known about Generation Z’s...
Distinct DNA methylation signatures, related to different prognosis, have been observed across many cancers, including T-cell acute lymphoblastic leukemia (T-ALL), an aggressive hematological neoplasm. By global methylation analysis, two major phenot...
We present a new approach for automated exploration of free energy landscapes on the basis of the umbrella integration (UI) method. The method to search points in the landscape relies on the normal distributions and gradients of the potential of mean...
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical engineering and its study plays a paramount role in mitigating the risk associated with the occurrence of a landslide. This problem is commonly tackled by using...
For the purpose of attaining a high degree of freedom (DOF) for the direction of arrival (DOA) estimations in radar technology, coprime sensor arrays (CSAs) are evaluated in this paper. In addition, the global and local minima of extremely non-linear...
This paper proposes a new electric load forecasting model by hybridizing the fuzzy time series (FTS) and global harmony search algorithm (GHSA) with least squares support vector machines (LSSVM), namely GHSA-FTS-LSSVM model. Firstly, the fuzzy c-mean...
In automated garment-cutting systems, idle-travel path planning becomes computationally expensive when the number of cutting pieces reaches medium-to-large scales (80–150 nodes), directly affecting production efficiency. To address the limitati...
Fair clustering aims to partition a dataset while mitigating bias in the original dataset. Developing fair clustering algorithms has gained increasing attention from the machine learning community. In this paper, we propose a fair k-means algorithm,...
Energy is a critical resource, and its optimization is central to sustainable building design. Occupant comfort, significantly influenced by factors, including mean radiant temperature (MRT), alongside air temperature, velocity, and humidity, is anot...
The article seeks to read the contribution of religious practices in prison education within the broader framework of spirituality as a search for meaning in life. It argues that religious engagement can foster cognitive and emotional development, pr...
Feature selection (FS) is a pivotal technique in big data analytics, aimed at mitigating redundant information within datasets and optimizing computational resource utilization. This study introduces an enhanced zebra optimization algorithm (ZOA), te...
We developed an optimized system for solving engineering problems according to the characteristics of data. Because data analysis includes different variations, the use of common features can increase the performance and accuracy of models. Therefore...
The presence of imbalance in data significantly complicates the classification task, including fuzzy systems. Due to a large number of instances of bigger classes, instances of smaller classes are not recognized correctly. Therefore, additional tools...
This paper is concerned with the stability and stabilization problem of a Takagi-Sugeno fuzzy (TSF) system. Using a non-quadratic function (well-known integral Lyapunov fuzzy candidate (ILF)) and some lemmas, new sufficient conditions are established...
Complete traffic sensor data is a significant prerequisite for analyzing the changing rules of traffic flow and formulating traffic control strategies. Nevertheless, the missing traffic data are common in practice. In this study, an improved Fuzzy C-...
Generally, traumatic and aneurysmal brain injuries cause intracranial hemorrhages, which is a severe disease that results in death, if it is not treated and diagnosed properly at the early stage. Compared to other imaging techniques, Computed Tomogra...
The advancement in electrical load forecasting techniques with new algorithms offers reliable solutions to operators for operational cost reduction, optimum use of available resources, effective power management, and a reliable planning process. The...
As power grids scale and aging assets edge toward obsolescence, grounding grid corrosion has become a critical vulnerability. Conventional diagnosis must fit high-dimensional electrical data to a physical model, typically yielding a nonlinear under-d...
The kinematics of a robotic manipulator is critical to the real-time performance and robustness of the robot control system. This paper proposes a surrogate model of inverse kinematics for the serial six-degree of freedom (6-DOF) robotic manipulator,...
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