Correlation Linear Regression Research Articles

An updated functional-group-based approach to modeling the vacuum residue oil gasification kinetics

Gasification of heavy petroleum residues can convert low-value feedstock to hydrogen-rich syngas, which can further be used for power generation and/or chemical production. The present work proposed an updated functional-group-based approach (FGMech) to modeling the gasification of a vacuum residue oil (VRO), which is helpful for better understanding the detailed kinetics of the gasification and improving gasifier performance. Elemental, average molecular weight (AMW) and nuclear magnetic resonance (NMR) analyses were conducted experimentally to characterize VRO, including elemental composition, average molecular formula and the functional group distribution, which were further used for model construction. A lumped mechanism for VRO devolatilization was constructed based on the updated FGMech approach: stoichiometric parameters of stable gases, tars and char were obtained from experiments, while those of radicals were based on the multiple linear regression (MLR) correlations; thermodynamic and kinetic parameters were derived from Benson group additivity method and rate rules, respectively. A merged detailed model was adopted for describing the conversion of gases and tars, and a global model was used for char. To test the reliability of the present model approach, Orimulsion gasification experiments from literature were simulated using an integrated perfectly stirred reactor (PSR) and plug flow reactor (PFR) model. It shows that the present model can reasonably predict measured results under various equivalence ratios, and has better performance on the prediction of CH4 compared with most literature models. Based on model analyses, syngas comes from the conversion of C2H4, H2S, CH4 and char in different gasification stages. Benzene, toluene, naphthalene and 1-methylnaphthalene are initial tar species considered in the devolatilization of the VRO. They can undergo hydrogen abstraction acetylene addition (HACA) and C3H3/C5H5 addition reaction pathways to produce large PAHs.

Impact Of Electronic Word Of Mouth And Influencer On Buying Decisions (Survey On Skincare Somethinc Consumer Products In The University Environment Of Tasikmalaya)

This study aims to determine and analyze the influence of electronic word of mouth and influencers simultaneously and partially on consumer purchasing decisions for Somethinc products in the Universitas Perjuangan Tasikmalaya environment. The method used in this research is descriptive analysis method. The data used in this study are primary data derived from questionnaires that have been distributed to consumers using Something skincare. Data analysis in this study used multiple linear regression analysis, correlation coefficient, and determination coefficient using SPSS version 26 software. The results of this study are that Electronic Word of Mouth has a significant effect on Purchase Decisions. Influencers have a significant effect on purchasing decisions. In the simultaneous test, Electronic Word of Mouth and Influencers have a significant effect on purchasing decisions.

Interplay of Knowledge and Behavior in Environmentally Friendly Pest Control: A Study from Bantul, Indonesia

This study investigates the correlation between farmers’ knowledge and behavior concerning environmentally friendly pest control in Bantul, Indonesia, a significant rice production area challenged by pest and disease. The objective was to assess the farmers’ understanding and behavior in applying Integrated Pest Control (IPC) techniques, determine the contributing factors to their knowledge level, and ascertain the relationship between knowledge and behavior. Employing a quantitative descriptive approach, the research encompassed 120 purposively selected farmers across four districts. Linear regression and Spearman correlation were used for data analysis. The findings indicate that both the knowledge and behavior of farmers regarding IPC were moderately rated. Factors such as farmers’ group activities, workshop participation, individual perceptions, and land size were found to influence the farmers’ knowledge level. Furthermore, a correlation was discerned between farmers’ knowledge and behavior in implementing eco-friendly pest control. The study underscores the necessity of targeted interventions to enhance farmer education and advocacy, as these can influence pest control behavior, ultimately promoting sustainable farming practices.

The Effect of Student Engagement on Boarding School Students' Online Learning Achievement

Boarding school students must participate in online learning due to the COVID-19 pandemic. Student engagement is an important aspect that must be considered in online learning. This study aims to determine: (1) the level of student engagement of boarding school students, (2) to investigate the effect of simultaneous behavioral engagement, emotional engagement, and cognitive engagement on learning achievement, and (3) to determine the relationship between behavioral, emotional and cognitive engagement with learning achievement, (4) to measure the relative and effective contribution of behavioral, emotional and cognitive engagement on learning achievement. This research is quantitative research with an ex post facto type. 182 boarding school students participated in this study. The data collection instrument used is the engagement scale from Fredricks & McCloskey. Data processing using descriptive and inferential statistics. The inferential test used is multiple linear regression and Pearson correlation. This study’s results indicate a significant influence between behavioral, emotional, and cognitive engagement on the learning achievement. The influence of these three variables on learning achievement is 46.7%. While the results of the correlation test showed that there is a significant relationship between the variables of behavioral, emotional, and cognitive engagement in learning achievement.

The link between obesity and insulin resistance among children: Effects of key metabolites.

Childhood obesity became a severe public health challenge, and insulin resistance (IR) was one of the common complications. Both obesity and IR were considered as the basis of metabolic disorders. However, it is unclear which common key metabolites are associated with childhood obesity and IR. The children were divided into normal weight and overweight/obese groups. Fasting blood glucose and fasting insulin were measured, and homeostasis model assessment of insulin resistance was calculated. Liquid chromatography-tandem mass spectrometry was applied for metabonomic analysis. Multiple linear regression analysis and correlation analysis explored the relationships between obesity, IR, and metabolites. Random forests were used to rank the importance of differential metabolites, and relative operating characteristic curves were used for prediction. A total of 88 normal-weight children and 171 obese/overweight children participated in the study. There was a significant difference between the two groups in 30 metabolites. Childhood obesity was significantly associated with 10 amino acid metabolites and 20 fatty acid metabolites. There were 12 metabolites significantly correlated with IR. The ranking of metabolites in random forest showed that glutamine, tyrosine, and alanine were important in amino acids, and pyruvic-ox-2, ethylmalonic-2, and phenyllactic-2 were important in fatty acids. The area under the curve of body mass index standard deviation score (BMI-SDS) combined with key amino acid metabolites and fatty acid metabolites for predicting IR was 80.0% and 76.6%, respectively. There are common key metabolites related to IR and obese children, and these key metabolites combined with BMI-SDS could effectively predict the risk of IR.

Assessment Of Rainfall Pattern And Future Change For Kelantan River Basin, Malaysia Using Statistically Downscaled Local Climate Models

<p>Climate change has been discussed frequently in recent decades, and it has increased the probability of extreme flood occurrence. This study aims to provide an analysis of future rainfall patterns and flood occurrences specifically for the Kelantan River Basin which is identified as one of flood prone areas in Malaysia. The study area was divided into five regions of the Kelantan River Basin, - Kota Bharu (Northern), Kuala Krai (Center), Pos Lebir (Southeastern), Pos Hua (Southwestern) and Pos Gob (Northwestern). The historical rainfall data (1986-2019) was then retrieved from the Malaysian Meteorological Department (MMD) based on the five regions. The statistical approach was applied to downscaled climate model data from the CanESM2 GCM forced by the Representative Concentration Pathway (RCP) 4.5 and 8.5. The reliability assessment using a Cronbach’s Alpha, Linear Regression and Pearson Correlation results show that local climates (2006-2019) forced by RCP4.5 have a similar trend to historical rainfall within the same period. The spatial analysis outcomes showed that the northeastern region of the Kelantan River Basin received its highest average annual rainfall (5,000 mm) in 1990 and caused severe flooding in the area. However, there is a significant change of rainfall pattern in all regions, with a steady increase in annual rainfall in the southwestern region (2021-2100).</p>

An Assessment to Human Perception to the Origin of Coronavirus by the Impact of Climate Change and Preventative Management of Pandemic Coronavirus COVID-19

On 12 January 2020, the WHO confirmed that a novel coronavirus was the cause of a respiratory illness in a cluster of people in Wuhan City, China. The aims of the study to assess the human perception to the origin of Coronavirus with relation to nature and find out preventative management about coronavirus. Primary data was collected for analyzing some factors regarding the Coronavirus microorganism formed by the impact of climate change. Primary data was collected through an online questionnaire survey. An online questionnaire survey is used for human perception for taking public opinion about the origin of Coronavirus and preventative management which are conducted in Bangladesh. SPSS software is used for Linear Regression analysis and correlation with some variables. A total of three variables were considered in the model estimation of which are dependent variables Coronavirus microorganism formed by the impact of climate change and independent variables such as Coronavirus microorganism formed by the impact of environmental pollution, Coronavirus microorganism formed by the impact of global heat and Coronavirus microorganism originated by the sources of the impact of ice melting polar region. From the analysis, it is found that the Coronavirus microorganism formed by the impact of climate change that makes a unique and statistically significant contribution to the prediction. Among 200 respondents, about 70% of peoples said “Maybe” Coronavirus microorganism formed by the impact of climate change, and it’s some factor. It is also found from the correlation analysis that the epidemic effects of COVID-19 will high on Bangladesh, if immigrant persons come, if Curfew doesn’t issue, if peoples are not conscious, if peoples are not properly using mask and hand gloves, if they are not maintaining social distance and lock down rules. In the finding that, in the polar region, there are many ice stacks where thousands of years ago, the animals are dead but the virus and bacteria are in a state of sleep. As the heat increases, all glaciers and permafrost start to melt in the Polar region. As a result, many types of viruses, bacteria are starting to live. These viruses including Coronavirus will be mixed with different environmental elements such as water, biodiversity. This will easily affect biodiversity and other animals including humans. Above all Climate change may play a significant role in the transmission of many infectious diseases including Coronavirus. Community responses are important for outbreak management during the early phase of major preventive options.

Linear regression and R-squared correlation analysis on major nuclear online plant cooling system

The primary cooling system is an integral part of a nuclear reactor that maintains reactor operational safety. It is essential to investigate the effects of the cooling system parameter before implementing predictive maintenance techniques in the reactor monitoring system. This paper presents a linear regression and R-squared correlation analysis of the nuclear plant cooling system parameter in the TRIGA PUSPATI Reactor in Malaysia. This research examines the primary cooling system's temperature, conductivity, and flow rate in maintaining the nuclear reactor. Data collection on the primary coolant system has been analyzed, and correlation analysis has been derived using linear regression and R-squared analysis. The result displays the correlation matrix for all sensors in the primary cooling system. The R-squared value for TT5 versus TT2 is 89%, TT5 versus TT3 is 94%, and TT5 against TT4 is 66% which shows an excellent correlation to the linear regression. However, the conductivity sensor CT1 does not correlate with other sensors in the system. The flow rate sensor FT1 positively correlates with the temperature sensor but does not correlate with the conductivity sensor. This finding can help to better develop the predictive maintenance strategy for the reactor monitoring program.

The Effect of Changes in Layers of Taxable Income Article 17 of the Law on Cost of Goods Sold, Reporting of Individual Tax Returns and Taxpayer Awareness of Income Tax Receipt at the Pratama Sawah Besar One Tax Service Office

This study aims to determine the magnitude of the influence of changes in layers of taxable income Article 17 of the HPP Act, reporting of individual tax returns and awareness of taxpayers simultaneously on income tax receipts at KPP Pratama Sawah Besar One. This study used a quantitative method by distributing questionnaires to 145 respondents and using a purposive sampling technique. Data analysis was carried out by validation test, reliability test, classic assumption test, then the data was tested by multiple linear regression analysis, T test, F test, correlation coefficient (R), and coefficient of determination (R2). The results of this study are based on testing the hypothesis by using the T test and F test, changes in layers of taxable income under Article 17 of the HPP Law, individual SPT reporting and taxpayer awareness have a positive and significant effect on income tax receipts. The test results of the coefficient of determination (R2) of 0.883 can be stated that the Effect of Changes in Layers of Taxable Income Article 17 of the HPP Law (X1), Individual SPT Reporting (X2) and Taxpayer Awareness (X3) on Income Tax Receipts (Y) is 88.3%, the remaining 11.7% is influenced by other variables not examined in this study.

Pengaruh Retailing Mix Dan Service Quality Terhadap Kepuasan Konsumen Pada Bolly Sila Kabupaten Bima

Consumer satisfaction will be formed if it can meet the basic expectations of consumers. Many factors influence consumer satisfaction, including Retailing Mix and Service Quality. The purpose of this research is to determine whether there is an influence of Retailing Mix on customer satisfaction at Bolly Sila Bima Regency, to determine whether there is an effect of Service Quality on customer satisfaction at Bolly Sila Bima Regency and to determine whether there is an effect of Retailing Mix and Service Quality on customer satisfaction at Bolly Sila Bima Regency. The population in this study were consumers of Bolly Sila, Bima Regency, who had shopped at Bolly Sila, Bima Regency. The sample was determined by accidental sampling technique with 60 respondents. The data collection method used was a questionnaire (questionnaire), observation and literature study. Data analysis techniques used in this study were instrument tests (validity test and reliability test), multiple linear regression analysis, T test, f test, correlation coefficient and determination coefficient using the SPSS 20 program. Based on the results of data processing with the T test method, and F test, it is known that the Retailing Mix and Service Quality variables simultaneously have a significant effect on Consumerr Satisfaction at Bolly Sila, Bima Regency. Partially, the results of this study indicate that the Retailing Mix variable has a significant effect on consumer satisfaction at Bolly Sila, Bima Regency. Meanwhile, Service Quality has no significant effect on Consumer Satisfaction at Bolly Sila, Bima Regency.

Investigation of Factors Affecting Shuttle Walking Performance at Increased Speed for Patients with Chronic Obstructive Pulmonary Disease.

The aim of this study was to examine the factors affecting the shuttle walking test (SWT) in patients with chronic obstructive pulmonary disease (COPD). A total of 29 patients with COPD (the COPD group) and a healthy group (HG) of 34 women aged between 55 and 74 years were included in the study. After the pulmonary function profiles of the participants were assessed, and the SWT was performed. Walking distances, walking speeds, and SWT levels (SWT-L) were determined with the SWT. Before and after the SWT, the heart rate (HR), oxygen saturation level (SPO2), and Borg scale (perceived exertion (BSe) and dyspnea (BSd)) results were analyzed with a paired sample t-test. The dyspnea levels during activity of daily living were determined with the Medical Research Council (MRC) dyspnea scale, and the relationship between MRC dyspnea (MRCD) and walking distance, speed, and SWT-L was tested using multiple linear regression and Pearson correlation analysis. The walking distance, speed, and SWT-L were lower in the COPD group (p < 0.001) than in the HG. The HR values before and after the SWT changed significantly in the COPD group and the HG (p< 0.001), and the effect size was higher in the COPD group. Although the BSe and BSd results before and after the SWT in the COPD group increased significantly (p < 0.001), they did not change in the HG. There was a highly negative correlation between MRCD and walking distance, speed, and SWT-L in the COPD group (p = 0.002, p = 0.000, and p = 0.001, respectively), but no correlation was found in the HG. The results showed that the HR, perceived exertion, and dyspnea levels of women with COPD whose respiratory functions were lower than the HG were significantly affected on the SWT.

Application of Moyer's mixed dentition analysis and establishing probability tables in a sample of Pakistani population.

To assess the congruity of Moyers' dental analysis in Pakistani individuals and to make tables foreseeing the size of non-erupted permanent premolars and canines in children. A cross-sectional study was conducted at Orthodontics Department of Armed Forces Institute of Dentistry (AFID) Rawalpindi, Pakistan. This was conducted from January 2020 to December 2021 and included mixed dentition subjects' casts. Mesiodistal widths (MDW) of the permanent dentition were estimated and contrasted with the anticipated values that emerged from the Moyer's mixed dentition examination. Students t-test, simple linear regression and Pearson correlation coefficient examination were utilized for statistical correlation. All data was gathered utilizing an electronic digital caliper and further investigated through IBM SPSS Statistics 24. Dental casts of the 258 subjects, 106 (41%) males and 152 (58.9%) females with the ages ranging 15.825±2.95 years were analyzed. Tooth size contrasts were significant (p <0.05) which was noticed in comparison to Moyer's predictive table. This demonstrates a bigger tooth size in young men than in young ladies. New probability tables were created through linear regression equations for our population. Moyer's prediction cannot be applied to the Pakistani population. Mandibular incisors in addition to maxillary first molars are superior in prediction for the size assessment of canines and premolars (cp) that are unerupted in males and upper arch only in females. Another noteworthy conclusion is that in our study sample, in lower arch of females, the width of mandibular molars with mandibular incisors predicts better.

PENGARUH STRATEGI PROMOSI DAN KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH PADA PT. BNI (PERSERO) Tbk KANTOR CABANG BOYOLALI

One of the main problems of financial institutions is in the promotion strategy and customer satisfaction. Therefore, Bank BNI Boyolali Branch Office is required to always maintain product, trust and customer satisfaction by improving service quality so that customer satisfaction increases, it is necessary to carefully determine consumer needs in an effort to meet expectations or desires and increase satisfaction with promotions and services provided. This study aims to analyze the promotion strategy and service quality on customer satisfaction at Bank BNI Boyolali Branch Office either simultaneously or partially. This study uses quantitative descriptive which is intended to test the truth of the theory with field observations and explain the results of research on how things are happening in the field.Data collection techniques were carried out through interviews, questionnaires, and observations. Data analysis techniques used quantitative techniques with a statistical approach, namely normality test, classical assumption test, multiple linear regression analysis and correlation coefficient analysis.The results of the study show, This shows that the promotion strategy variable partially affects customer satisfaction, in other words the promotion strategy variable has a significant influence on customer satisfaction and the service quality variable partially affects customer satisfaction, in other words the service quality variable has a significant influence. to customer satisfaction. Keywords: Promotion Strategy, Service Quality, and Customer Satisfaction

Pengaruh Efikasi Diri Dan Motivasi Berwirausaha Terhadap Minat Wirausaha Mahasiswa

This research is entitled "The Influence of Self-Efficacy and Entrepreneurial Motivation on Entrepreneurial Interest in Management Study Program Students, Pasundan University (Class of 2018-2020)". The problem phenomenon in this study is that the unemployment rate in Indonesia is still very high. The entrepreneurial interest of students from the Management Study Program at Pasundan University (Class of 2018-2020) is still low at 3.06% of students who have an entrepreneurial interest. Self-efficacy is still low at 2.86% and entrepreneurial motivation at 2.93%. The hypothesis of this research consists of a simultaneous hypothesis, namely that self-efficacy and entrepreneurial motivation influence entrepreneurial interest. The partial hypothesis is that there is an effect of self-efficacy on entrepreneurial interest and the influence of entrepreneurial motivation on entrepreneurial interest. This study aims to determine how much influence self-efficacy and entrepreneurial motivation have on entrepreneurial interest in students of Pasundan University Management Study Program (Class of 2018-2020). The research method used is descriptive and verification with a sample of 100 respondents. Data collection techniques used are observation, interviews, and questionnaires. The data analysis method used is multiple linear regression analysis and correlation analysis simultaneously and partially, hypothesis testing simultaneously, and partial analysis of the coefficient of determination simultaneously or partially. The results showed that self-efficacy and entrepreneurial motivation positively and significantly affected entrepreneurial interest.

Pengaruh Kualitas Sistem Informasi Akuntansi, Pengendalian Internal Dan Motivasi Kerja Terhadap Kinerja Pegawai

This Study aims to find out how the influence of the quality of the accounting information system, internal con-trol and work motivation on employee performance. This research was conducted at the Bandung City Government Em-ployee Cooperative. The research methods used are descriptive and verifiable. Data collection techniques carried out through primary data with questionnaires. The population in this study were employees at the Bandung City Govern-ment Employee Cooperative. The number of samples taken was 37 respondents. The sampling technique uses the Non Probability Sampling technique using the Saturated Sample (Census) method. The statistical analysis used in this study is validity test, reliability test, classical assumption test, multiple linear regression analysis, correlation test, par-tial test, simultaneous test, and coefficient of determination. The results of this study show that the quality of the account-ing information system affects employee performance with an influence of 22.1%, internal control affects employee per-formance with an influence of 27.1%, work motivation affects employee performance with an influence of 21.3% and hypothesis silmutan shows the quality of the accounting information system, internal control and work motivation affect employee performance with an influence of 70,5%.

PENGARUH MOTIVASI KERJA DAN KERJASAMA TIM TERHADAP KINERJA KARYAWAN PT. KOSAMI SEJAHTERA UTAMA UNIT TERMINAL INSPECTION-T1, BANDAR UDARA SOEKARNO-HATTA TANGERANG

This study aims to determine the effect of work motivation and teamwork on employee performance. The research method used is a quantitative method with an associative approach. The population and sample in this study were employees of PT. Kosami Sejahtera Utama Terminal Inspection unit- T1. Test Instruments used are Validity Test and Reliability Test. Classical assumption tests, Quantitative Analysis include Simple Linear Regression Analysis, Multiple Linear Regression Analysis, Correlation Coefficient and Determination Coefficient. Test the Hypothesis used. The results of this study show that work motivation partially has a significant effect on employee performance with a calculated t value greater than the table t (6.187 &gt; 2.001). Teamwork partially has a significant effect on employee performance with t values calculated at 4.872 &gt; 2.001. Simultaneously, the results of data processing show that work motivation and teamwork have a positive and significant effect on the performance of PT. Kosami Sejahtera Utama Terminal Inspection-T1 unit with a calculated F value of 23.516 and a coefficient of determination value of 44.8% while the remaining 55.2% is influenced by other factors. The conclusion of this study is that there is a positive and significant influence between work motivation with employee performance and teamwork with employee performance

THE INFLUENCE OF CURRENT RATIO, RETURN ON ASSETS, GROSS PROFIT MARGIN, TOTAL ASSET TURNOVER, AND COMPANY SIZE ON PROFIT GROWTH AT PT. UNILEVER INDONESIA TBK

This research was conducted at PT. Unilever Indonesia Tbk which lasts for 6 (six) months. The problem in this study is the fluctuation or decrease and increase in profit growth at PT. Unilever Indonesia Tbk annually. The method used in this study is a quantitative method in the form of multiple linear regression analysis, correlation coefficient and determination, F test and t test. The purpose of this study is to analyze and determine the effect of the current ratio, return on assets, gross profit margin, total asset turnover and company size simultaneously on profit growth at PT. Unilever Indonesia Tbk. To analyze and determine the effect of the current ratio partially on profit growth at PT. Unilever Indonesia Tbk. To analyze and determine the effect of return on assets partially on profit growth at PT. Unilever Indonesia Tbk. To analyze and determine the effect of partial gross profit margin on profit growth at PT. Unilever Indonesia Tbk. To analyze and determine the effect of total asset turnover partially on profit growth at PT. Unilever Indonesia Tbk. To analyze and determine the effect of company size partially on profit growth at PT. Unilever Indonesia Tbk. Based on the results of the research and discussion, the following conclusions can be drawn: Current ratio, return on assets, gross profit margin, total asset turnover, and company size simultaneously affect the profit growth of PT. Unilever Indonesia tbk. Current ratio partially has no significant effect on profit growth at PT. Unilever Indonesia tbk. Return on assets partially has a significant effect on profit growth at PT. Unilever Indonesia tbk. Gross profit margin partially has a significant negative effect on profit growth at PT. Unilever Indonesia tbk. Total asset turnover partially has a significant negative effect on profit growth at PT. Unilever Indonesia tbk. Company size partially has no effect on profit growth at PT. Unilever Indonesia tbk.

Manual Abilities and Cognition in Children with Cerebral Palsy: Do Fine Motor Skills Impact Cognition as Measured by the Bayley Scales of Infant Development?

Manual ability may be an important consideration when measuring cognition in children with CP because many items on cognitive tests require fine motor skills. This study investigated the association of fine motor dependent (FMD) and fine motor independent (FMI) items within the cognitive domain (COG) of the Bayley Scales of Infant Development-Third Edition (Bayley-III) and Manual Ability Classification System (MACS) in children with cerebral palsy. Children aged 2 to 8 (3.96 ± 1.68) years were included in this study. MACS levels were assigned at baseline. COG was administrated at baseline (n = 61) and nine months post-baseline (n = 28). The 91 items were classified into FMD (52) and FMI (39). Total raw score, FMD, and FMI scores were calculated. The association between MACS and cognitive scores (total, FMD, and FMI) were evaluated using linear regression and Spearman correlation coefficients. We found total, FMD, and FMI scores decrease significantly as the MACS level increases at the baseline. Both FMD and FMI scores decreased as MACS levels increased (worse function). There was a significant difference between the two slopes, with the FMD scores having a steeper slope. Similar patterns were observed nine months post-baseline. Children with lower manual ability scored lower in the cognitive domain at baseline and 9 months post-baseline. The significant difference in the performance of FMD items and FMI items across MACS levels with a steeper slope of changes in FMD items suggests fine motor skills impact cognition.

Overflow Capacity Prediction of Pumping Station Based on Data Drive

In recent years, the information requirements of pumping stations have become higher and higher. The prediction of overflow capacity can provide important reference for flood carrying capacity, water resource scheduling and water safety. In order to improve the accuracy, stability and generalization ability of the model, a BiGRU–ARIMA data-driven method based on self-attention mechanism is proposed to predict the flow capacity of the pump station. Bidirectional gated recurrent unit (BiGRU), a variant of cyclic neural network (RNN), can not only deal with nonlinear components well, but also deal with the problem of insufficient dependence over long distances and has a simple structure. Autoregressive integrated moving average (ARIMA) has the advantage of being sensitive to linear components. Firstly, the characteristics of the pre-processed pump station data are selected and screened through Pearson correlation coefficient and a self-attention mechanism. Then, a bi-directional gated recurrent unit (BiGRU) is used to process the nonlinear components of the data, and a dropout layer is added to avoid overfitting phenomena. We extract the linear features of the obtained error terms using the ARIMA model and use them as correction items to correct the prediction results of the BiGRU model. Finally, we obtain the prediction results of the overflow and water level. The variation characteristics of overdischarge are analyzed by the relation of flow and water level. In this paper, the actual production data of a Grade 9 pumping station of Miyun Reservoir is taken as an example to verify the validity of the model. Model performance is evaluated according to mean absolute error (MAE), mean absolute percentage error (MAPE) and linear regression correlation coefficient (R2). The experimental results show that, compared with the single ARIMAX, BiGRU model and BP neural network, the SA–BiGRU–ARIMA hybrid prediction model has a better prediction effect than other data-driven models.

Posttraumatic stress symptoms in adolescents and young adults with a chronic somatic disease: a mixed-methods study

BackgroundAdolescents and young adults (AYA) with a chronic somatic disease (CD) have a 3-fold higher risk of post-traumatic stress disorder (PTSD) than healthy controls. In addition, elevated post-traumatic stress symptoms (PTSS) have a negative impact on CD severity, treatment adherence, health problems and functional impairment. However, a more detailed understanding of this comorbidity is lacking.MethodsAYA with type 1 diabetes mellitus, juvenile idiopathic arthritis or cystic fibrosis (12–21 years of age) and elevated anxiety and/or depression symptoms, as well as their reference persons (≥ 18 years of age), completed online questionnaires in self- or observer report. The most stressful event related to the CD was reported descriptively. Questionnaires were used to assess PTSS, anxious and depressive symptoms, actual overall health, coping, personal growth and social support. Qualitative content analysis, linear regression models and correlations were used for mixed methods analysis.ResultsAccording to the reports of n = 235 AYA (mean age 15.61; 73% girls) and n = 70 reference persons, four categories were identified as the most stressful events due to CD: (1) psychological burden (40% of AYA / 50% of reference persons); (2) CD self-management (32% / 43%); (3) social burden (30% / 27%); and (4) physical impairment (23% / 16%). 37% of AYA reported clinically relevant PTSS due to CD. The best predictors of PTSS severity were anxious-depressive symptoms, emotional coping, personal growth and current overall health (F(4, 224) = 59.404, R² = 0.515, p < .001). Of all categories, psychological (β = 0.216, p = .002) and social burden (β = 0.143, p = .031) showed significant association with the severity of PTSS (F(4, 230) = 4.489, R² = 0.072, p = .002). The more categories the most stressful event addressed, the higher was the PTSS symptom severity (r = .168, p = .010).ConclusionsMany AYA showed clinically relevant PTSS and reported experiencing stressful events in several areas of life through their CD. The association between the stressful event categories and other variables could help identify AYA with CD who need psychological interventions the most.Trial registration: German Clinical Trials Register (DRKS): DRKS00016714, registered on 25/03/2019 and DRKS00017161, registered on 17/09/201.