The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning.

Colorectal cancer (CRC) is a form of cancer that impacts both the rectum and colon. Typically, it begins with a small abnormal growth known as a polyp, which can either be non-cancerous or cancerous. Therefore, early detection of colorectal cancer as the second deadliest cancer after lung cancer, can be highly beneficial.

Prediction model for identifying high-risk groups for overweight or obesity among Korean men in their 30s and 40s.

Purpose: This study was aimed to build a prediction model to identify high-risk groups for overweight or obesity among Korean men in their 30s and 40s.

Methods: This study analyzed data from 28,388 men aged 30-40 years, gathered in the 2022 Community Health Survey. Participants were categorized into two groups based on BMI: underweight/normal weight group and overweight/obese group.

Prognostic Value of the Noble and Underwood Score in Patients with Non-Small Cell Lung Cancer Undergoing Surgical Resection.

This retrospective study aimed to evaluate the clinical utility of the Noble and Underwood (NUn) score as a prognostic marker for overall survival (OS) in patients with stage I to IIIA non-small cell lung cancer (NSCLC). The NUn score is a novel composite marker that integrates C-reactive protein (CRP), serum albumin (ALB) levels, and white blood cell (WBC) count to provide a comprehensive assessment of systemic inflammation and nutritional status. We included patients with stage I to IIIA NSCLC and assessed the NUn score, calculated using CRP, ALB levels, and WBC count.

Low-Power Field-Deployable Interdigital Transducer-Based Scanning Laser Doppler Vibrometer for Wall-Thinning Detection in Plates.

Lamb waves have become a focal point in ultrasonic testing owing to their potential for long-range and inaccessible detection. However, accurately estimating the flaws in plates using Lamb waves remains challenging because of scattering, mode conversion, and dispersion effects. Recent advances in laser ultrasonic wave techniques have introduced innovative visualization methods that exploit the dispersion effect of Lamb waves to visualize defects via, for example, acoustic wavenumber spectroscopy.

The Relationship between Bicultural Acceptance Attitude and Self-Esteem among Multicultural Adolescents: The Mediating Effects of Parental Support.

As the rate of international marriage increases, the adaptation of multicultural families and their children-multicultural adolescents-remains an issue requiring continuous monitoring, support, and improvement. This study investigates the mediating effects of parental support on the relationship between bicultural acceptance attitude and self-esteem among multicultural adolescents. Data are derived from 1197 high school sophomores, all of whom were multicultural adolescents, surveyed by the National Youth Policy Institute in 2018.

Postural and spinal stability analysis for different floor sitting styles.

In contrast to Western countries, traditional floor-seating cultures are prevalent in Korea, Japan, the Middle East, and Africa, where sitting on the floor in static positions such as squatting, kneeling, or sitting cross-legged is common. Most studies on sitting posture have predominantly focused on chair sitting in Western cultures, resulting in a cultural bias. This study aimed to investigate the effects of different cushion types (floor and traditional cushions of 3-cm, 5-cm, and 8-cm thickness) and seating postures (cross-legged, mother's leg, and kneeling) on measures of postural stability, trunk muscle activity, rotational spinal stability, and subjective postural stability in an Asian population.

Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete.

Precisely forecasting how concrete reinforced with fiber-reinforced polymers (FRP) responds under compression is essential for fine-tuning structural designs, ensuring constructions fulfill safety criteria, avoiding overdesigning, and consequently minimizing material expenses and environmental impact. Therefore, this study explores the viability of gradient boosting regression tree (GBRT), random forest (RF), artificial neural network-multilayer perceptron (ANNMLP) and artificial neural network-radial basis function (ANNRBF) in predicting the compressive behavior of fiber-reinforced polymer (FRP)-confined concrete at ultimate. The accuracy of the proposed machine learning approaches was evaluated by comparing them with several empirical models concerning three different measures, including root mean square errors (RMSE), mean absolute errors (MAE), and determination coefficient (R).

Prediction model of weight control experience in men with obesity in their 30 s and 40 s using decision tree analysis.

Obesity is an abnormal and potentially dangerous condition caused by excess body fat accumulation. The number of people with obesity is increasing worldwide. Obesity is the primary cause of various diseases; therefore, it is crucial to make efforts to control body weight.

Numerical analysis of stresses on angular contact ball bearing under the static loading with respect to race thickness and housing stiffness.

A 3-dimensional model of the angular contact ball bearing (ACBB) was modeled using Abaqus/standard (Dassault systems- version 2017) to investigate the influence of race thickness on the bearing performance. It was found that the ability to support higher contact stress increased with race thickness. However, large deformations were found to occur on outer race with thickness of 3.

Impact of the child's birth weight on maternal misperceptions of young children's weight: A retrospective study with nationally representative data.

Aim: A young child's abnormal birth weight (BW) can affect a mother's misperceptions of her child's weight, potentially hindering the child's health management. Therefore, this study investigated the impact of children's BW on maternal misperceptions of children's weight during early childhood.

Methods: A retrospective study was conducted for 485,095 children who were 54-60 months of age, born between 2011 and 2013, and participated in South Korea's Sixth National Health Screening Program for Infants and Children (NHSPIC).

Preoperative abnormal bone mineral density as a prognostic indicator in patients undergoing gastrectomy for gastric cancer: A cohort study.

Predicting postgastrectomy relapse and mortality in patients with gastric cancer (GC) remains challenging, with limitations to traditional staging systems such as the tumor-node-metastasis (TNM) system. This study aimed to investigate the impact of preoperative Hounsfield unit (HU) values, which serve as a surrogate marker for bone mineral density (BMD), in predicting survival outcomes in patients with GC. A retrospective analysis was conducted on data from patients with GC who underwent curative-intent gastrectomy.

A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration.

Suspended sediment concentration prediction is critical for the design of reservoirs, dams, rivers ecosystems, various operations of aquatic resource structure, environmental safety, and water management. In this study, two different machine models, namely the cascade correlation neural network (CCNN) and feedforward neural network (FFNN) were applied to predict daily-suspended sediment concentration (SSC) at Simga and Jondhara stations in Sheonath basin, India. Daily-suspended sediment concentration and discharge data from 2010 to 2015 were collected and used to develop the model to predict suspended sediment concentration.

The effects of parental respect for children's decision-making and respect for human rights on depression in early adolescents: The mediating effect of self-esteem.

This study investigated the structural relationships among parental respect for children's decision-making, respect for human rights, and self-esteem, and their impact on depression in early adolescents. The study utilized data from 2,747 middle school students who participated in the 2020 Survey on the Current Status of Korean Children's and Youth's Rights conducted by the National Youth Policy Institute. The data were analyzed using a structural equation model based on partial least squares with SmartPLS 3.

Spatiotemporal changes in future precipitation of Afghanistan for shared socioeconomic pathways.

Global warming induces spatially heterogeneous changes in precipitation patterns, highlighting the need to assess these changes at regional scales. This assessment is particularly critical for Afghanistan, where agriculture serves as the primary livelihood for the population. New global climate model (GCM) simulations have recently been released for the recently established shared socioeconomic pathways (SSPs).

Effects of transition programmes to adulthood for adolescents and young adults with CHD: a systematic review with meta-analysis.

Background: The increased survival rate among individuals with CHD has sparked interest in their transition to adult healthcare. Although there is a general agreement on the importance of transition interventions, the empirical evidence supporting them is insufficient. Therefore, this study aimed to conduct a systematic review and meta-analysis of transition interventions for adult healthcare in adolescents and young adults.

The influence of psychological needs and motivation on game cheating: insights from self-determination theory.

Introduction: Game cheating (i.e., behavior of violating rules in games by using unregulated Software or assistive devices to gain advantage) poses a fatal problem as it destroys fair competition systems and negatively impacts the game ecosystem.

The impacts of college educational satisfaction and helpfulness of career support on life satisfaction among Korean youth: The mediating role of mental health.

This study aimed to investigate the structural relationships between college educational satisfaction, the helpfulness of career support, and mental health, and how these factors influence the life satisfaction of late adolescents and young adults. The study utilized data from 550 Korean individuals 18-24 years of age who have experienced going to college, collected in the "2021 Youth Socio-Economic Reality Survey" conducted by the National Youth Policy Institute. Data analysis was conducted with SmartPLS 3.

Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms.

Changes in soil temperature (ST) play an important role in the main mechanisms within the soil, including biological and chemical activities. For instance, they affect the microbial community composition, the speed at which soil organic matter breaks down and becomes minerals. Moreover, the growth and physiological activity of plants are directly influenced by the ST.

Development of Maximum Residual Stress Prediction Technique for Shot-Peened Specimen Using Rayleigh Wave Dispersion Data Based on Convolutional Neural Network.

Shot peening is a surface treatment process that improves the fatigue life of a material and suppresses cracks by generating residual stress on the surface. The injected small shots create a compressive residual stress layer on the material's surface. Maximum compressive residual stress occurs at a certain depth, and tensile residual stress gradually occurs as the depth increases.

Prognostic significance of a five-factor modified frailty index in patients with gastric cancer undergoing curative-intent resection: A cohort study.

The 5-factor modified frailty index (mFI-5) evaluates frailty based on variables including functional status, diabetes, chronic obstructive pulmonary disease, congestive heart failure, and hypertension requiring medication. Despite its effectiveness in predicting surgical risk, the potential of mFI-5 as a predictor of long-term survival in patients with gastric cancer (GC) has not been investigated. This study aims to assess the prognostic significance of mFI-5 in patients with GC who have undergone curative-intent gastric resection.

Impact of moderate-to-late preterm birth on neurodevelopmental outcomes in young children: Results from retrospective longitudinal follow-up with nationally representative data.

This study investigated the relationship between moderate-to-late preterm (MLPT) birth and the risk of neurodevelopmental impairments (NIs) in young children compared with the risks associated with very preterm (VPT) and full-term (FT) birth based on nationally representative large-scale population data. Retrospective follow-up was conducted over 71 months for 738,733 children who were born and participated in the Korean National Health Screening Program for Infants and Children (NHSPIC) between 2011 and 2013. Using a data linkage between the NHSPIC and Korean healthcare claim information, data on birth year, sex, delivery type, birth weight, growth abnormality, gestational age, breastfeeding history, maternal age, NIs, multiple gestation, preterm labor, premature rupture of membranes (PROM), gestational diabetes, gestational hypertension, smoking during pregnancy, and socioeconomic status were collected and included in the final analysis.

Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm.

Wastewater quality modelling plays a vital role in planning and management of wastewater treatment plants (). This paper develops a new hybrid machine learning model based on extreme learning machine () optimized by Bat algorithm () for modelling five day effluent biochemical oxygen demand (). Specifically, this hybrid model combines the Bat algorithm for model parameters optimization and the standalone ELM.

Structural Integrity Assessment of Concrete Sleepers by Modal Test Technique.

Concrete sleepers used in railway engineering are subject to damage, such as cracks and breakage. Damaged concrete sleepers undergo changes to their material and structural properties, including response, mode shape, and natural frequency. Therefore, we have proposed modal testing in this study to quantitatively evaluate the structural integrity of concrete sleepers.

Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm.

Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality assessment. Alternative methods are essential for accurately prediction of this parameter because the traditional method in predicting the BOD is time-consuming and it is inaccurate due to inconstancies in microbial multiplicity. In this study, the applicability of four hybrid neuro-fuzzy (ANFIS) methods, ANFIS with genetic algorithm (GA), ANFIS with particle swarm optimization (PSO), ANFIS with sine cosine algorithm (SCA), and ANFIS with marine predators algorithm (MPA), was investigated in predicting BOD using distinct input combinations such as potential of hydrogen (pH), dissolved oxygen (DO), electrical conductivity (EC), water temperature (WT), suspended solids (SS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (T-P) acquired from two river stations, Gongreung and Gyeongan, South Korea.