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Empirical studies on gaming disorder (GD) predominantly employ cross-sectional designs, offering limited insights into the development of GD. The existing longitudinal studies on the risk factors of GD often yield contradictory results and ...

• Examination of the developmental changes and mutual connection between risk factors and symptoms of gaming disorder (GD).
• Developmental trends in stress, internet addiction, ADHD, and aggression/hostility are predictive of GD ...

Trust management has been shown to be an effective technique for protecting networks from malicious nodes and ensuring wireless sensor network (WSN) security. A number of trust systems have been proposed, but most of them are not adaptative to the ...

Diabetes, a common chronic disease worldwide, can induce vascular complications, such as coronary heart disease (CHD), which is also one of the main causes of human death. It is of great significance to study the factors of diabetic patients ...

• The detection of coronary heart disease in diabetes patients and taking appropriate preventive measures will reduce the disease burden of diabetes mellitus.
• Through the analysis of more than 300,000 diabetes patients in southwest China,...

Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore, an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long short-term memory (LSTM) neural network (IAPSO-LSTM) is ...

Research has identified various cognitive risk and protective (CRP) factors that contribute to gaming disorder (GD), but it remains unclear how GD symptoms are differentially related to specific CRP factors. To fill the gap, this study used ...

• Gaming self-esteem and maladaptive gaming rules are the most central risk factors.
• Cognitive flexibility, global self-esteem, and self-efficacy are the most central protective factors.
• Loss of control, withdrawal, and tolerance are ...

Atherosclerotic cardiovascular diseases (ASCVD) are still the leading cause of morbidity and mortality in Bosnia and Herzegovina. Elevated LDL-cholesterol is established as a strong marker of cardiovascular risk. ...

With the rapid development of science and technology, the trend of low age myopia is becoming increasingly significant. The latest national survey done by the Chinese government found that more than 80% of Chinese teenagers suffer from myopia. ...

• A machine learning model was constructed to discriminate myopia from non-myopia.
• Age and the myopia status of parents are significant risk factor for myopia.
• The measure taken by the children and the distance between books and eyes ...

Using empirical data and the properties they reveal, we develop a factor that captures changes of both currency implied correlation and volatilities. For this purpose, we apply the Guldin–Pappus theorem in Euclidean space for rotating triangles to ...

Finding the optimal path for a mobile robot in complex environments is a crucial part of automation. In this application, we seek a path that avoids obstacles inside the scene. This paper discusses the path planning problem in cases where 2D ...

• Develop a stochastic mathematical model to handle variable obstacle areas problem.
• We introduce a parameter that captures the degrees of freedom of the search space.
• Continuous space was used, and line integral was used to ...

K-12 students and teachers are a vulnerable population for cybersecurity risks. Identifying both risk factors and protective factors associated with intuitive and rational judgment of cybersecurity risks would help them develop ...

• K-12 students and teachers are particularly vulnerable to cybersecurity risks.
• ...

Quantitative data on the sensory environment of intensive care unit (ICU) patients and its potential link to increased risk of delirium is limited. We examined whether higher average sound and light levels in ICU environments are associated with ...

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• This article proposes Profile-based fuzzy association rule mining algorithm.
• ...

The existing data mining solutions to identify risk factors associated with diseases are burdened with quite a few shortcomings. They usually use crisp partitions for numerical features and also do not use patient-specific profiles. ...

• Topology optimization approach to design concrete structural elements.
• Risk ...

Recent advances in civil engineering and architecture, especially in Digital Fabrication (DF), have enabled the implementation of challenging solutions that yield components with improved and optimized performances.

This ...

Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, ...

Whole-body vibration (WBV) has been identified as one of the serious risk factors leading to spinal disorders, particularly in professional drivers. Although the influential factors in this area have been investigated epidemiologically,...

• The model is a flexible tool to study WBV for seated occupants.
• Among different ...

• The first research concerns cardiovascular diseases (CVDs) risk factors extraction of Chinese clinical records.

Early prevention of cardiovascular diseases (CVDs) can effectively prevent later loss of health, and the detection of CVDs risk factors is a simple method to achieve early prevention. Personal health ...

In the traditional risk management of insurance industry, companies mainly focus on business risks related to insurance products in their daily operation, but ignores the harms of other risk types. There is no consensus on what are the risk ...

Objective: This research was to know the activity of Ethanol extract of Sonchus arvensis (Linn.) leaves in inhibiting the angiotensin converting enzyme (ACE) activity. ACE is an enzyme that functions to convert the Angiotensin I into Angiotensin II. The ...

The assessment of risk in medicine is a crucial task, and depends on scientific knowledge derived by systematic clinical studies on factors affecting health, as well as on particular knowledge about the current status of a particular patient. ...

We look for an approach to massive risk factor discovery for early childhood caries.Association rule mining with adequate rule pruning and ranking performs well.Literature supports most risk factors identified in associative analysis.When coupled with ...