bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Reliability and Applicability of the Physical and Mental Health Promotion Model for Adolescent in Different Social Contexts
Authors: Dong Ru-bao , Dou Kai-yun , HUANG Jia ben 
Published: August 2024

Abstract

To examine Physical and Mental Health Promotion Model for Adolescent in Different Social Contexts, 1073 sets of survey data per year were randomly selected from databases during the period of the normalization prevention and control, the outbreak of COVID-19, and the lifting of social controls for COVID-19. The average score of sleep duration(SD) for adolescents was 440.15, 430.14, and 441.80 minutes/day respectively (F = 9.62, p < 0.001), physical activity level(PAL) was 2.54, 2.35, and 2.46 respectively (F = 18.87, p < 0.001), general self-efficacy (GSE) was 2.65, 2.36, and 2.71 respectively (F = 74.53, p < 0.001), and mental health (MH) was 1.54, 1.86, and 1.57 respectively (F = 87.31, < 0.001); ANOVA results showed significant differences. There were significantly correlated with each other among average score of PAL, SD, GSE and MH. The total effects of the model were − .196, − .338, and − .221, respectively, all with P < 0.001; the direct effects were − .089, − .230, and − .117, respectively, all with P < 0.001; the total indirect effects were − .107, − .107, and − .104, respectively; with PAL→SD→MH was − .077, − .051, and − .063, and PAL→GSE→MH was − .031, − .057, and − .041, all with a significant meaning in the Bias-Corrected 95%CI test. However, during the COVID-19 outbreak, few fit indices of the model did not reach ideal values. SD and GSE play multiple mediating roles in Physical and Mental Health Promotion Model for Adolescent, which is effective. However, in critical social situations, more attention should be paid to the direct effect of PAL on MH.
Research and application of high gas coal seam air leakage control technology based on polymer material cross-linking mechanism
Authors: Zhao Hongbao , Li Zuoquan , Zhang Hongwei 
Published: August 2024

Abstract

In order to alleviate the problem of corner gas accumulation caused by air leakage in goaf of high gas coal seam. The rapid film-forming sealing material for the corner wall and the grouting sealing material for the corner roof were developed and optimized, and the' plugging-injection' combined air leakage sealing scheme was proposed. The orthogonal experiment was designed with the thickness attenuation ratio of the plugging film at 12h and24 h, gel viscosity, adhesion, setting time and other factors as indicators, and the best material ratio was selected. The engineering test shows that: (1) 1.5% sodium alginate solution and 7.5% calcium chloride solution can be sprayed in turn to quickly form a plugging film and stick to the corner wall; (2) 2.5% polyvinyl alcohol, 0.6% borax and 0.5% thickener were mixed into water and stirred to obtain polymer plugging slurry. (3) According to the monitoring results, the gas concentration of each monitoring point decreased by more than 62% after using the plugging material, and the gas concentration in the upper corner decreased by 67%. The air leakage decreased by more than 50%, and the upper corner decreased by 57%. The air leakage plugging scheme formed by the dynamic combination of the functions of the above two types of optimized new materials can effectively reduce the gas accumulation in the corner caused by air leakage in the goaf and reduce the occurrence of gas overrun accidents in the working face, which has a good utilization prospect.
Characteristics associated with the use of specialised mental healthcare by Norwegian adults with intellectual disability: a cross-sectional study
Authors: Pedersen Erlend Refseth , Anke Audny , Olsen Monica Isabel , Søndenaa Erik 
Published: August 2024

Abstract

Background
Studies have reported unmet healthcare needs among people with intellectual disability. However, there appears to be a lack of research examining the use of mental health services. The purpose of the present study was to address this knowledge gap and examine characteristics associated with use of the services in Norway.
Method
A cross-sectional community-based survey including 199 adult participants (55% men) with intellectual disabilities. Assessment comprised the POMONA-15 health indicators and instruments designed to assess aberrant behavior (ABC-C) and screen for possible mental health problems (MPAS-Check).
Results
During the last year, 49% of the participants had received specialist mental healthcare or habilitation services. Further, 18% scored above threshold on the MPAS-Check, and the prevalence of challenging behaviour in our sample was estimated to be 16% using the ABC-C. The presence of challenging behaviour, indicated by the ABC-C, was found to significantly increase the odds of using mental healthcare or habilitation services.
Conclusion
When developing policies and measures to improve access to mental health care services, it is important to consider factors that serve as barriers and facilitators to access. The use of psychotropic medication is foremost followed up by general practitioners, not by mental healthcare or specialized habilitation services.
SALSTM: Segmented Self-Attention LSTM for Long-Term Forecasting
Authors: Dai Zhi-Qiang , Li Jie , Cao Yang-Jie , Zhang Yong-Xiang 
Published: August 2024

Abstract

Time series forecasting plays a crucial role in various fields such as financial market analysis, weather prediction, and traffic flow forecasting. Although LSTM performs well in traditional time series forecasting tasks, its performance significantly deteriorates as the prediction sequence length increases. When the prediction length reaches 96, the results are almost irrelevant to the actual task. Long Short-Term Memory (LSTM) networks often struggle with performance degradation as the prediction sequence length increases in long-term time series forecasting (LTSF). To address this issue, we propose an innovative time series forecasting model called SALSTM, which combines segmented iteration and intra-segment self-attention mechanisms to tackle the performance degradation of traditional LSTM in long-term time series forecasting. By reducing the number of recursive iterations and enhancing the ability to capture long-distance dependencies, SALSTM significantly improves prediction accuracy and computational efficiency. Experimental results show that SALSTM outperforms traditional LSTM and current state-of-the-art (SOTA) Transformer models across multiple benchmark datasets. The research indicates that LSTM variants still hold potential in long-term time series forecasting, and thoughtful design can further enhance their effectiveness.
A Comparative Analysis of an RC Low-Rise Building with the Seismic Codes of Countries Lying in the Himalayas: China, India, Nepal, and Pakistan
Authors: Kunwar Sanjaya , Thapa Deepak , Paudel Achyut , Shrestha Aayush 
Published: August 2024

Abstract

The Himalayan region is one of the most seismically active areas in the world due to its tectonic setting. This study investigates the seismic performance of a reinforced concrete (RC) low-rise building using the seismic codes of countries situated along the Himalayan belt: China, India, Nepal, and Pakistan. This study begins by reviewing the development of seismic codes in these countries. Subsequently, a prototype RC low-rise building was analyzed using finite element software, employing the linear static method of analysis according to each country's seismic codes. This study focused on key seismic responses, including the fundamental period, base shear, displacement, and story drift. The analysis revealed significant differences in seismic responses among the codes. Notably, the Chinese seismic code resulted in the highest values for the parameters studied, followed by the Nepalese, Pakistani, and Indian codes.
Epidemic characteristics, spatiotemporal pattern, and etiologic factors of liver cancer burden in China from 2010 to 2016: A retrospective analysis
Authors: Tian Tian , Yang Yangyuna , Wu Jie , Shan Jianzhen 
Published: August 2024

Abstract

Background
With the rising prevalence of obesity, increasing alcohol consumption and the advances in hepatitis virus treatment, liver cancer epidemiology gradually changes. However, the impact of these changes on liver cancer burden in China remains unclear. This study aimed to assess temporal trends in liver cancer burden across the whole country and 33 province-level administrative regions and the contributions of various liver cancer etiologies in China from 2010 to 2016.
Methods
The age-standardized incidence/death rate for liver cancer from 2010 to 2016 was evaluated according to sex, age, and etiology using data from the 2016 Global Burden of Disease study. The liver cancer-related age-standardized rates in the 33 province-level administrative regions of China were obtained from the National Central Cancer Registry.
Results
From 2010 to 2016, there were 25% and 22% increase in liver cancer incidence and death respectively, while the age-standardized incidence/death rate remained stable. South China, especially rural South, had the highest incidence and death rate of liver cancer in the whole country. The proportion of alcohol and non-alcoholic steatohepatitis-associated liver cancer incidence and death increased, whereas that of HBV-associated liver cancer incidence and death decreased from 2010 to 2016. Non-alcoholic steatohepatitis was the only etiology with an increase in liver cancer incidence rate, and alcohol showed the fast-growing incidence of liver cancer in some age groups.
Conclusions
Urgent measures are required at a national level to tackle the underlying metabolic risk factors and slow down the rising burden of non-alcoholic steatohepatitis -induced liver cancer.
Integrated Electrically Small Monopole and Slotted Array Antenna Design for Next-Generation Microwave and mm-wave Wireless Systems
Authors: Kamruzzaman M. M. , Annadurai C. , Nelson I. , Devi K. Nirmala , Raja M. Ramkumar 
Published: August 2024

Abstract

This paper presents a novel co-design approach for wireless applications, integrating mm-wave and microwave technologies. The design features two antennas where a slotted waveguide array is fabricated using 3D-printing technology with an AlMg10Si alloy resonating at mm-wave frequency band, while a printed monopole antenna resonating at microwave frequency band shares a common ground plane with the slotted waveguide array. The electrically small printed monopole is realized on an FR4 substrate, is suitable for WLAN bands, and achieves ease of integration with the antenna at the Ka-band owing to the low profile. The co-design approach is particularly advantageous for wireless applications as it enables the seamless integration of different frequency bands, enhancing system versatility and performance. The antenna achieves dual frequency band operation covering the Impedance bandwidth of 15.27% (5.08–5.92) and 14.56% (26.48–30.64) at microwave and Ka-band frequencies, respectively. The innovative use of materials and advanced fabrication techniques also underscores the design's potential for diverse high-performance wireless applications.
Analysis of A Semi-Circular Cavity BPF with RF-MEMS Switches for 5G Applications and X-band Satellite Communication applications
Authors: Velagaleti Surendra Babu , Siddaiah N 
Published: August 2024

Abstract

This study designs and analyses a compact dual-band reconfigurable semi-circular cavity BPF. RF-MEMS switches were proposed on both sides of the 50Ω microstrip transmission lines in order to achieve reconfigurability. An electrostatically actuated shunt capacitive shunt type RF-MEMS switch is designed and tunability of the BPF is attained when the two switches move from upstate to downstate. The actuation voltage to move the switch downwards is 6.5V and the switch operates at a transition time of 30µS with a capacitance ratio of 10. Return loss of -22dB is obtained at 3.7GHz when the switch is in OFF state and return loss of -32dB is obtained at 6.7GHz when the switch is in ON state and is applicable for n77, n78 and n79 5G wireless communication applications and X-band satellite communication applications. Bandpass filter provides a frequency shift of 3GHz when both the switches are in ON state (or) OFF state. Return loss of -22dB is obtained at 3.7GHz when the switch is in the OFF state, while return loss of -32dB is obtained at 6.7GHz when the switch is in the ON state. This is suitable for 5G wireless communication applications (n77, n78, and n79) as well as X-band satellite communication applications. A 3GHz frequency shift is provided by a bandpass filter when both switches are in the ON or OFF position. BPF is designed to operate at a frequency range of 1–10 GHz that can be adjusted for different applications. By simulating the switch design in a COMSOL Multiphysics the features of the switch were examined, and the results were compared with theoretical calculations. The HFSSV.13 tool has been used to observe and present the BPF's tunable properties.
High Blood Pressure and Obesity: Is not-breastfeeding an added risk for children with Benign Congenital Heart Disease
Authors: Abul-Fadl Azza , AbdulSamae Sameh Zaki , Mourad Maha 
Published: August 2024

Abstract

Background: The rising burden of cardiovascular disease (CVD) risk factors of obesity and elevated blood pressure (EBP) from early childhood can aggravate consequences congenital heart defects (CHDs).
The aim was to study status and associations of early feeding, systolic (SBP) and diastolic (DBP) elevations, obesity with CHD.
Methods: A sample of 150 children randomized into 50 breastfed, 50 non-breastfed and 50 mixed fed children aged 3-5 years examined for early feeding practices, BP and nutritional assessment through anthropometric measurements for estimating Body mass index (BMI) and hemoglobin. Doppler studies were carried out to detect congenital heart disease. Findings DBP, but not SBP, was higher in non-breastfed vs. fully Breastfed. Obesity was positively associated with elevated SBP and DBP in either sex. Early breastfeeding was protective, while not breastfeeding, bottle feeding with additives, pacifiers, unhealthy food intake (UFI) were associated with EBP. Doppler studies detected 16 cases (10.67%) with CHDs, mostly mitral valve prolapse (MVP) in 7(43.7%) followed by tricuspid regurge (TR) in 3 (18.75%), atrial-septal defect (ASD) in 1(6.25%) and ventricular-septal defects (VSD) in 1(6.25%). Although there were no direct associations between CHDs with early feeding, BMI or EBP, however risk factors for EBP by high intake of unhealthy foods was common.
Conclusions: Obesity and EBP start from early childhood; this could affect future cardiac dynamics. Breastfeeding may be physiologically and developmentally beneficial for these children by protection against CVD risk factors as obesity and EBP. Close watch of patients with CHD from an early age is recommended to detect cardiac hemodynamic changes especially among children who are obese, hypertensive. Promoting breastfeeding and healthy food intake is important to prevent the build of EBP from UFI into CVD.
Parent-Reported Adverse Childhood Experiences (ACEs) and Food Insecurity Among Children in Non-English-Speaking Households in the United States
Authors: Chipalo Edson , Nkwanzi Violet , Odii Ikenna Obasi , Malele Kefentse Princess 
Published: August 2024

Abstract

Adverse childhood experiences (ACEs) are potentially traumatic events associated with the risk of food insecurities in the United States. However, there are limited studies investigating this association, particularly for children aged 0–17 in non-English-speaking households. Therefore, this study examines the association between individual and cumulative ACEs and food insecurity for children in non-English-speaking households in the U.S. Using data extracted from the 2022 National Survey of Children's Health (NSCH), an analytic sample of 4677 children aged 0–17 was obtained. The dependent variable was binary food insecurity (food secure vs. food insecure). Independent variables included 11 individual ACEs (i.e., economic hardship, parent/guardian divorce, etc) and cumulative ACEs (0 ACE, 1 ACE, 2 ACEs, and 3 ≥ ACEs). Data were analyzed using six sets of multivariate logistic regression models with household food insecurity as an outcome variable across ACEs while controlling for individual, family, and community-level characteristics. Of the 4677 children, 22.4% experienced at least one or more ACEs, and 4.5% experienced food insecurity. After controlling for other factors, individual ACEs, including family economic hardships (aOR = 13.2), parents/guardians divorced (aOR = 2.65), and parents/guardians died (aOR = 3.59) were associated with higher odds of food insecurity among children. After covariates adjustment, children with at least one ACEs (aOR = 1.98), two ACEs (aOR = 3.51), and three or more ACEs (aOR = 2.25) were associated with higher odds of food insecurity compared with children with no ACEs. Therefore, preventing ACEs is crucial to mitigate their negative impact on food insecurity for children and their families. Interventions should focus on preventing ACEs and increasing financial resources needed for economic support, which can be strengthened through public assistance programs such as Supplemental Nutrition Assistance Programs (SNAPs) and Women and Infant programs (WIC) or supplemented by existing social support systems so low-income non-English-speaking families can afford food.
Classification of food items in trash through images using a hybrid deep learning system
Authors: Abdulrahman Asma Abdulelah , Wazi Mayada Taki , Sabr Marwah Hadi , Tahir Fouad Shaker , Khlaponin Yurii 
Published: August 2024

The issue that arouses concern is the issue of waste in general, especially waste in food. Deep learning has made its way into the aforementioned field. Pre-processing is done using a new filter derived from discrete wavelets that were derived from Legendre polynomials (LEGP) to achieve Multi Resolution Analyses (MRA), in which the image parameters are separated into proximity parameters and detail parameters, where the first is concentrated in LL, while the second is in HL, LH, HH to improve the input image of the waste in terms of noise removal and image compression. To begin the deep learning process, configure the New Convolutional Neural Network (NCNN) to configure 144 layer with the image size (224x224x3) with Google Net so that the waste resulting from leftover food is sorted. In this work, four foods were sorted: tomatoes, potatoes, bread, and rice, and the result was reached for accuracy for each upcoming image with the accuracy of the neural arrangement of rice (99.9337) to potato (100 %) to tomato (99.8959), and finally for bread (83.5492), with the accuracy of the neural network 94.12 % in 1 min 2 sec.
The accuracy reached in this work with Discrete Legendre Wavelets Transform (DLEGWT) and training the new network for google net was 94.12 % in 1 minute and 2 seconds with the new filter (DLEGWT). A program was created that was translated into a new algorithm. It was shown that the new filter worked in two stages, which is the initial processing stage, included analyses image with removed the noise from the image, after which the image is compressed to reduce the space used by the image data. As for the second stage, the deep learning stage takes place with the new filter, so that a new convolutional neural network is created after Dividing the image into three channels RGB to complete the convolution process for each channel, so that the hidden layers are formed until it reaches full connectivity, so that the classification process is performed with triple accuracy. The proposed algorithm has proven its efficiency
Effect of contact blast loading on the plastic deformation forming ability of large steel pipes
Authors: Vu Quang Duc 
Published: August 2024

Plastic deformation forming with metal pipe blanks by contact blast loading inside pipes is an interesting moldless forming technique, also a complex and error-prone process. Some advantages are very characteristic of this forming technique such as no cost of mold, tooling and low energy consumption, no complicated control equipment compared to other forming techniques such as casting, rolling, tube hydrostatic forming, bending – welding. Up to now, the calculation and design of this forming technique mainly use some existing reference empirical formulas, so the experimental results are only suitable in the range of small pipe diameters, and still there are significant deviations for larger pipe diameters. In order to increase the predictability and accuracy of forming process by contact blast loading inside large pipes, this paper presents a study on the influence of the mass of highly explosive material – TNT to the forming ability of large steel pipes from API-5LX-42 mild steel materials by modern 3D numerical simulation – using Abaqus/Cae software. Four output criteria with maximum values are used to evaluate the efficiency of this forming process, including maximum diameter of the blast zone (Dmax£2D0), Von Mises stress (Smax£UTS), Hoop plastic strain component (PE22max£1), and Pipe wall thinning rate (eT-max£60 %). The results of this research on the plastic deformation forming process using numerical simulation can be used for the next experimental step to evaluate the difference between simulation and experiment, as well as use this data in the calculation and design of pipe products with circular or square cross-sections to save both time and money of trial and error before application in actual manufacturing
Analysis of load and contact mechanic on the composite structural: case study on GFRP composite
Authors: Mujiyono  , Perdana Helmi Kusuma , Nurhadiyanto Didik , Saputri Virda Hersy Lutviana , Hassan Shukur Abu 
Published: August 2024

When creating lightweight structures to lower the rail vehicle's overall weight, composite materials with fiber reinforcements are the material of choice. Because of its excellent strength, low weight, high durability, stiffness, damping ability, flexural strength, resistance to wear and tear, impact resistance, indentation resistance, and corrosion resistance, composite materials. This study proposes to analyze the load and contact mechanic on the glass fiber reinforced polymers (GFRP) composite structural under tensile and flexural load. Tensile load 17.490 N was applied in 2 model, with Tab and without Tab. The flexural loading 669 N was applied in 6 models with the 3-load types and 2-contact mechanic types. The stress values and locations of the proposed finite elements analysis (FEA) modeling results were verified through experiments for tensile loads and flexural loads. The FEA modeling of GFRP composites under tensile load with tabs and without tabs have same the maximum stress location. The location at the outer surface of the grip splitter line. The stress 107 MPa on the gauge length area of FEA modeling and the experimental are same. FEA modelling under flexural loads, when using bonded contact shows that the location and value of stress concentration is not same as experimental. Using frictionless contact model have the value and location of maximum stress same as experimental. The FEA model 5 with Face load and frictionless mechanical contact has the stress concentration that is closest to the experimental results. By considering the type of load applied to the surface and the frictionless contact mechanics, FEA modeling can be used to predict the behavior of composite structures under bending loads