Linear Equation Model Research Articles

Determinants of plant species richness along elevational gradients: insights with climate, energy and water–energy dynamics

BackgroundUnderstanding the patterns and processes of species distributions has long remained a central focus of biogeographical and ecological research. While the evidence for elevational patterns in species richness is widespread, our understanding of underlying causes and mechanisms remains limited. Therefore, this study aimed to entangle the influence of environmental variables on plant species richness along elevational gradients in the Western Himalayas.MethodsWe compiled elevational distribution for about 1150 vascular plants using the published literature and available database. The species richness was estimated in 100-m elevational bands using the range interpolation method. We used the generalised linear model and structural equation modelling (SEM) framework to identify the direct and indirect effects of climatic factors on species richness.ResultsOur results indicated that primary environmental correlates of species richness varied with elevational gradients. Climatic variables combined with energy and water availability were more important than the topographic heterogeneity. Further, the direct and interaction effects of climatic variables were more substantial than their indirect effects. The indirect effects of climate are more strongly mediated by water–energy dynamics than the energy alone.ConclusionsOverall, our findings emphasise the importance of considering direct effects and interactions among environmental variables while studying the underlying mechanisms governing elevational biodiversity gradients. Species richness appeared to be shaped by climatic tolerances rather than habitat heterogeneity at regional scales. This information can have implications for biodiversity dynamics under environmental change.

Lean Mass Longitudinally Confounds Sedentary Time and Physical Activity With Blood Pressure Progression in 2513 Children.

Randomized controlled trials have reported no effect of moderate-to-vigorous physical activity (MVPA) on reducing blood pressure (BP) in youth, probably due to short trial durations. This study examined the longitudinal effect of sedentary time (ST), light PA (LPA) and MVPA on BP in 11-year-old children followed up for 13 years to determine the confounding and mediating role of body composition. Data included 2513 children from the Avon Longitudinal Study of Parents and Children (ALSPAC), UK birth cohort who had data on at least one time-point measure of accelerometer-based movement behaviour across the follow-up and complete BP measures at ages 11, 15 and 24 years. Body composition was assessed with dual-energy x-ray absorptiometry at all time points. Multivariate adjusted generalized linear mixed-effect model and structural equation causal mediation model analyses were conducted. Among 2513 participants (61% female, mean [SD] age 11.72 [0.21] years), ST steadily increased from ~6 h/day in childhood (age 11 years) to ~9 h/day in young adulthood (age 24 years), whereas LPA and MVPA decreased, but BP had an inverted U-shaped increase. In the longitudinal analysis, after full adjustment, a 1-min cumulative ST from ages 11 to 24 years was positively associated with increased systolic BP (0.009 mmHg [95% CI 0.007-0.011]; p < 0.001) and diastolic BP. A 1-min cumulative LPA was inversely associated with systolic BP (-0.007 mmHg [-0.009 to -0.004]; p < 0.001), but not diastolic BP. In isotemporal substitution analyses, longitudinal replacement of 10 min of ST with equal time in LPA during childhood, adolescence and young adulthood cumulatively decreased systolic BP by -2.63 mmHg [95% CI -3.17 to -2.08] (p < 0.0001) and diastolic BP by -1.93 mmHg [95% CI -2.36 to -1.50] (p < 0.0001). Replacing 10 min of ST with 10 min of MVPA had no statistically significant effect due to an absolute confounding effect of lean mass. The association of ST with systolic BP was fully mediated by increased lean mass (93% mediation). Increased total fat mass partially mediated (19%-27%) the inverse associations of cumulative MVPA with cumulative systolic and diastolic BP. Theoretically replacing 10 min/day spent sedentary with 10 min/day of LPA during growth from childhood through young adulthood may lower systolic BP by -3 mmHg and diastolic BP by -2 mmHg. Lean mass seems more significant than fat mass in the relations of ST and PA with BP and should be accounted for in future intervention studies in the paediatric and young adult population.

A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass

The assessment of freeze desalination (FD) efficiency is lagging behind due to the lack of an effective means of determining ice total dissolved solid (TDS). In this paper, an ice TDS prediction model was constructed by utilizing the law of conservation of matter (LCMat) and conservation of mass (LCMas) in the icing process. It was concluded that the average TDS ice crystals in any icing process was correlated with the TDS of the raw (concentrated) water at the starting of freezing, the salt mass change rate of the concentrate water, and the volume of ice crystals. A one-way FD test was carried out using the saltwater from South Xinjiang, and the exponential equation model and linear equation model of LCMat-LCMas were derived, and the simulation accuracy of LCMat-LCMas was verified by using the test data. The results show that the model has high prediction accuracy. The exponential equation model is suitable for predicting the ice TDS for ice with thickness within 15 cm, and the linear equation is suitable for predicting the ice crystal TDS for ice thicker than 15 cm. Further validation of the model accuracy is needed for larger cooled areas and icing thicknesses, and multidirectional icing processes.

Research on the Development Trend of New Energy Electric Vehicles in China based on Mathematical Model

As the global economic development moves closer to the direction of green sustainability, the international automobile market pays more and more attention to the development of new energy vehicles. New energy electric vehicle (NEV), as a kind of new energy vehicles, has developed rapidly in recent years due to its characteristics of low pollution, low energy consumption, peak power consumption and adjustment capacity, and has been welcomed by global consumers and governments. The Chinese government conforms to the development of The Times and actively promotes the development of its industry. This paper aims to study the development trend of China's new energy electric vehicles in China, through the establishment of multiple linear regression equation model analysis of different factors of new energy electric vehicles, and using the stochastic comparison model compared the influence of new energy electric vehicles on the traditional energy vehicle industry, and establish the influence factor model, analyze the international policy influence on the development of new energy electric vehicles, in the whole research process to test and the advantages and disadvantages analysis.

The Impact of Depression on Adherence to Diabetes Self-Management Behaviors in Breast Cancer Survivors.

Breast cancer survivors (BCS) have higher rates of depression which is associated with lower adherence to medications, diet, and physical activity. Managing diabetes (DM) requires adherence to several of these self-management behaviors (SMB), and BCS have an increased risk of DM. We investigated whether depressive symptoms were associated with adherence to DM SMB in a cohort of BCS. BCS with DM were surveyed semiannually for 2years. Depression was assessed with the Hospital Anxiety and Depression Scale (HADS). Adherence to DM medication, diet, and physical activity was self-reported using the Medication Adherence Report Scale (MARS), Summary of Diabetes Self-Care Activities Assessment (SDSCA), and International Physical Activity Questionnaire (IPAQ), respectively. Using generalized linear equation modeling, the association of depressive symptoms with nonadherence to SMB was assessed, adjusting for age, race, marital status, education level, and beliefs about cancer and DM risk. Among 244 BCS with DM, those who were nonadherent to medication, diet, and/or physical activity had higher depression scores (p<0.01). In adjusted analyses, higher depression scores were independently associated with dietary (OR=1.16, p<0.001) and physical activity nonadherence (OR=1.18, p<0.001) but not with medication nonadherence. Concerns about medications was independently associated with medication nonadherence (OR=1.17, p=0.024). Higher depression scores are associated with nonadherence to DM SMB in this cohort of BCS. These findings highlight the importance of addressing depressive symptoms in BCS to help improve adherence to DM medications, diet, and physical activity.

Factors Influencing Maternal Readiness for Hospital Discharge from Dual Perspectives of Couples

Background: Assessment of maternal readiness for discharge is critical. Higher level of discharge readiness can significantly improve maternal and family members’ depression and anxiety, and reduce the incidence of puerperal complications and neonatal diseases. Understanding how couples navigate and negotiate the challenges and demands of readiness for discharge after delivery has important implications for family health. This study aimed to investigate maternal readiness for hospital discharge and analyze the influencing factors under the dualistic perspective of the couple. Methods: A prospective questionnaire study was administered to 374 women using Maternal and spousal general information questionnaire, Maternal Readiness for Discharge Assessment Scale, and Relationship Satisfaction Scale. Results: Maternal readiness for hospital discharge was assessed with an average score of 177.17 ± 18.67. The total score of the Relationship Satisfaction Scale was 37.83 ± 1.90, and the total score of the spousal Relationship Satisfaction Scale was 36.25 ± 2.18. The results of the hierarchical linear regression equation modeling showed that maternal relationship satisfaction independently explained 8.9% of the total variance in readiness for discharge after controlling for the effects of maternal and spousal general information (p &lt; 0.001), and spousal relationship satisfaction independently explained 10.3% of the total variance in readiness for discharge after controlling for the effects of maternal and spousal general information and maternal relationship satisfaction (p &lt; 0.001). Conclusions: Higher levels of relationship satisfaction were associated with higher maternal readiness for discharge. The important predictive role played by couple intimacy satisfaction in readiness for discharge should be emphasized.

The role of IGF1 in determining body composition in children and adolescents with growth hormone deficiency and those with idiopathic short stature

PurposeTreatment with recombinant human growth hormone (rhGH) increases insulin growth factor-1 (IGF1) levels, therefore, monitoring both IGF1 and growth constitutes an acceptable parameter of therapeutic safety and efficacy. We aimed to investigate the relationship between IGF1 level and body composition in children and adolescents undergoing rhGH therapy for growth hormone deficiency (GHD) and idiopathic short stature (ISS).MethodsThis observational retrospective study included the bioimpedance analysis (BIA) reports (n = 305) of 135 pediatric patients (age 5–18 years), 64 with GHD and 71 with ISS, conducted as part of routine clinic visits. Sociodemographic and clinical data were extracted from medical records. Generalized estimating equations linear models were used to explore the contributing factors for body composition components of fat percentage (FATP), appendicular skeletal muscle mass (ASMM) z-score, and muscle-to-fat ratio (MFR) z-score while adjusting for cumulative doses of rhGH.ResultsSubjects with GHD exhibited higher body mass index z-scores (p < 0.001), higher FATP and truncal FATP scores, lower MFR z-score, and higher diastolic blood pressure percentiles than the ISS group (p = 0.010, p = 0.027, p = 0.050, and p = 0.050, respectively). Female sex (p < 0.001) and a GHD diagnosis (p < 0.001), were major contributors to higher FATP scores; female sex (p = 0.049) and ISS diagnosis (p = 0.005) were major contributors to higher MFR z-scores; and female sex (p < 0.001), older age (p < 0.001) and higher insulin-like growth factor 1 z-scores (p = 0.021) were major contributors to higher ASMM z-scores. Socioeconomic position and cumulative rhGH dose were not significant contributors to body composition parameters.ConclusionChildren with GHD, including those undergoing rhGH treatment, may be at risk for increased adiposity and associated metabolic implications. Sex- and age-adjusted IGF1 levels were related to muscle mass but not to adiposity. Hence, rhGH treatment aimed at increasing IGF1 levels may alleviate these effects by promoting muscle growth.

FAKTOR PERAN SYAHBANDAR DALAM MELAKSANAKAN PENGAWASAN, PEMERIKSAAN DAN PEMBERIAN SURAT PERSETUJUAN BERLAYAR TERHADAP KESELAMATAN PELAYARAN

Sea transportation is one of these modes of transportation, in addition to having a role as a means of transportation nationally, it can reach all regions through waters so that it can support, encourage and drive the growth of regions that have great natural resource potential in an effort to improve and distribute development and its results. In accordance with the function of the harbormaster's duty to supervise the seaworthiness of the ship which includes safety, se curity and security at the port. In this case, the port plays an important role in the port system, both in shipping, law enforcement and in all port activities. The purpose of this study was to analyze the effect of the independent variables, namely supervision, inspection, and the granting of a Sailing Approval Letter, for the dependent variable of shipping safety. The population in this study were all crew members and employees of the ships docked in May at the port of Padangbai and the sample in this study was 100 respondents with the technique used was a non-probability sampling technique, namely by using quota sampling, Kouta sampling was a technique to determine the sample. from a population that has certain characteristics to the desired number (quota). The analytical method used is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of (Software) Statistical Package For Social Science (SPSS). The results of the research by testing the hypothesis indicate that the variables of Supervision, Inspection, and Granting of Sailing Approval Letters are positive and significant for Shipping Safety in the Class IV Port Authority and Harbormaster Office Area Padangbai Port. Based on the results of the study, it can be seen that the research model of the multiple linear regression equation is Y=2,898+0,436X1+0,214X2+0,189X3+ µ. From the regression results, it can be seen that the most dominant variable affecting shipping safety is the supervision variable with a regression coefficient of 0.436. With the r square test of 0.526 or 52.6% which means that the increase in shipping safety in the KSOP class IV Padangbai area is influenced by supervision, inspection and granting of approval letters which is 52.6% and other factors that affect the improvement of shipping safety in the areas served by KSOP Class IV Padangbai by 47.4%.

Inequities in medicaid home- and community-based services waiver enrollment among people with intellectual and/or developmental disabilities: A nationwide claims-based analysis

BackgroundStates use Medicaid 1915(c) waiver programs to enable access to home- and community-based services for people with intellectual and/or developmental disabilities (I/DD). However, enrollment rates and potential inequities are not well documented, impeding efforts to improve care access and quality for waiver program enrollees, especially for racially minoritized beneficiaries experiencing compounded barriers to services and supports. ObjectiveTo characterize year-by-year 1915(c) waiver program enrollment among Medicaid-enrolled adults with I/DD from 2016 to 2019 and to analyze population-level inequities by type of I/DD and racial/ethnic group. MethodsOur data source was 2016–2019 Medicaid Transformed Medicaid Statistical Information System Analytic Files Demographic and Eligibility files for beneficiaries with Down syndrome, autism, and intellectual disability. We used generalized estimating equation linear models to estimate the associations of type of I/DD and racial/ethnic group with the probability of 1915(c) waiver program enrollment and reported (1) unadjusted estimates and (2) estimates adjusted for demographics with state and year fixed effects. ResultsFrom 2016 to 2019, across all types of I/DD and racial/ethnic groups, unadjusted 1915(c) waiver program enrollment rates ranged from 40 to 60 % nationwide. We found modest growth in 1915(c) I/DD waiver program enrollment but persistent inequities over time. Compared to beneficiaries with intellectual disabilities, beneficiaries with autism were less likely to enroll while beneficiaries with Down syndrome were more likely. While some racial/ethnic groups had higher unadjusted mean enrollment, after adjustment, racially minoritized beneficiaries were 3.66–12.0 percentage points less likely to enroll compared to white non-Hispanic beneficiaries. ConclusionsGiven extensive waiting lists for 1915(c) waiver programs, Medicaid programs should evaluate existing enrollment and authorization processes and consider alternative HCBS program authorities.

Assessment of the Levels of Pesticide Residues and Trace Metal Elements (TME) in Soils in the Cotton-Growing Region of North-West Benin

ABSTRACT The objective of the study was to evaluate the levels of pesticide residues and trace metal elements (ETM) in the soils of the cotton-growing zone in north-west Benin. The soils under cotton, maize and soybean were retained in a Complete Random Block design with 12 repetitions. 36 sites were sampled, with 12 of them being allocated to each crop. The analysis involved determining permethrin, cypermethrin, and glyphosate from soil samples taken by HPLC. The determination of Cd and Pb was carried out by mass spectrometry with inductively coupled plasma after organic matter destruction. A analysis of variance was used to compare soil types with the data obtained. Linear regression equation models were created to estimate trace metal elements values based on pesticide residue values. The results showed that the average amounts of permethrin (0.61 ± 0.03 µg/mg), cypermethrin (0.69 ± 0.07 µg/mg), glyphosate (0.82 ± 0.01 µg/kg), cadmium (Cd) (1.78 ± 0.21 µg/kg), lead (Pb) (1.04 ± 0.14 µg/kg) were higher (p < 0.05) in soils under cotton crops. As for lead, it can only be estimated using permethrin (Pb = 0.18 + 0.37 Per) or cypermethrin (Pb = 0.24 + 0.34Cy) or both with high determination coefficient R2 (R2= 82.01%).

Serum hepcidin recalibrated values in Mexican schoolchildren by demographic characteristics, nutritional and infection/inflammation status.

To describe recalibrated serum hepcidin values at different percentiles in schoolchildren, considering age, sex, inflammatory processes, H. pylori infection, and iron status. Secondary analysis of data incorporating information on inflammation, H. pylori infection, and iron status of 349 schoolchildren. Hepcidin analysis was performed using a competitive ELISA, and recalibrated hepcidin values were calculated using the inverse of the linear regression model equation obtained by van der Vorm et al. Results: Recalibrated hepcidin values were lower than non-calibrated values. In schoolchildren without infection/inflammation and without iron deficiency, recalibrated values at the 50th percentile (25th-75th) were 4.89 ng/mL (2.68-8.42). For schoolchildren without infection/inflammation but with iron deficiency, recalibrated values were 2.34 ng/mL (1.10-6.58), the lowest hepcidin values observed. The highest values were found in the group with infection/inflammation, regardless of iron deficiency status. Recalibrated hepcidin values were lower than non-calibrated values. The highest values were observed in schoolchildren with infectious or inflammatory processes, and the lowest values were observed in schoolchildren with iron deficiency but only in the absence of infectious or inflammatory processes. Using recalibrated hepcidin values allows comparison between data obtained using different analytical methods.

Evaluation of five soil nutrient extraction methods for practical assessment of phosphorus and potassium availability for tomato (&lt;i&gt;Solanum lycopersicum&lt;/i&gt;) fertilization in Andisols-Garut, Indonesia

Phosphorus and potassium are essential nutrients for plant growth and development. Plants will achieve optimum biomass and production if phosphorus and potassium needs are met through fertilization. Determining the availability of phosphorus and potassium in the soil is essential because it is related to decisions on phosphorus and potassium fertilizer rate recommendations. In this study, we evaluated 5 common phosphorus and potassium extraction methods by correlating the indicated soil nutrient levels to the relative biomass dry weight of tomato plants. The phosphorus and potassium extraction methods used were Mehlich-1, Bray-1, Morgan-Wolf, Ammonium acetate, and HCl-25%. Mean Root Error (MRE) and Root Mean Square Error (RMSE) were used to determine the precision of the linear regression equation model in predicting the relationship between phosphorus and potassium soil extraction methods and the relative biomass dry weight of tomato plants. The correlation of the soil extraction methods used in Andisols with the relative biomass dry weight of tomato was highly significant and very strong (r &gt; 0.75) suggesting that Bray-1 was the best soil-phosphorus extraction method (P&lt;sub&gt;r&lt;/sub&gt; = 0.88; P&lt;sub&gt;MRE&lt;/sub&gt; = 0.10; P&lt;sub&gt;RMSE&lt;/sub&gt; = 4.44), while HCl-25% was the most suitable for soil-potassium extraction (K&lt;sub&gt;r&lt;/sub&gt; = 0.90; K&lt;sub&gt;MRE&lt;/sub&gt; = 0.05; K&lt;sub&gt;RMSE&lt;/sub&gt; = 2.95). The results of the two extraction methods will be used to determine the dosage of phosphorus and potassium fertilizers (&lt;i&gt;nutrient sufficiency approach&lt;/i&gt;) for tomato plants grown in Andisols.

Associations between HIV infection status, psychosocial factors, and adjuvant endocrine therapy adherence among South African women with early-stage breast cancer.

We aimed to evaluate for associations between HIV status, psychosocial factors, and adjuvant endocrine therapy (AET) adherence in South African (SA) women with estrogen receptor positive (ER+) breast cancer (BC). We enrolled South African women with early-stage ER + BC in remission and prescribed tamoxifen or an aromatase inhibitor to the prospective observational study. We performed AET pill counts at enrollment, 12 weeks, and 24 weeks, and calculated adherence ratios of pills consumed between visits to days between visits. Women completed questionnaires on social support, attitude towards medication, health literacy, self-efficacy, mental health, and AET toxicity. We collected household wealth data. We used hierarchical linear (HLM) and structural equation modelling (SEM) to compare adherence ratios between women with and without HIV while adjusting for psychosocial factors. We collected adherence data from 239 women, 63 (26.4%) with co-morbid HIV. Comparing women with and without HIV, median AET adherence ratio was 0.88 vs 0.89, respectively (HLM p = 0.31). In our SEM model for the full cohort, mental health, healthcare savvy, and side effect burden latent variables were not significantly associated with adherence. In the subgroup of women living with HIV, lower SES quintile (β 0.04, SE 0.02, p = 0.08) and poorer mental health (β -0.02, SE 0.01, p = 0.10) showed trends toward association with adherence. HIV status is not predictive of AET adherence among SA women with ER + BC, though decreasing SES status and increasing mental health symptoms are marginally associated with adherence in women with BC and HIV.

PENGARUH GREEN INNOVATION DAN KINERJA KEUANGAN TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN SUB SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2021

This study aims to examine and analyze the effect of Green Innovation and Financial Performance on firm value proxied by Tobin's Q and Price to Book Value. This study uses a multiple linear regression equation model which is processed with Eviews software version 12. The sample for this research is food and beverage sub-sector companies listed on the Indonesian Stock Exchange for the period 2017 – 2021 using a purposive sampling technique. The results showed that Green Innovation has a negative effect on Tobin's Q and Price to Book Value, Return On Assets has a positive effect on Tobin's Q and Price to Book Value, Earnings Per Share has no effect on Tobin's Q and Price to Book Value, and Debt To Equity Ratio has no effect on Tobin's Q, but has a positive effect on Price to Book Value. These results provide an indication that companies in the food and beverage sub-sector in Indonesia that carry out green innovation consider that the disclosure and implementation of this innovation does not result in the company getting rewards from investors in the form of an increase in share prices and financial performance remains a factor that cannot be separated from investors' assessment of firm value.

Pemanfaatan Cangkang Kerang Darah Sebagai Katalis dan Filter Rokok Sebagai Adsorben Dry Washing dalam Pembuatan Biodiesel Minyak Kesambi

These three wastes can be used as raw materials for biodiesel in the transesterification and purification processes. The purpose of this study was to determine and analyze the variations of blood clam shell catalysts and cigarette butt adsorbents and to compare the most optimal quality of biodiesel (producing the highest yield) based on SNI 7182:2015. The method used in this research consists of FFA testing, degumming, esterification, tranesterification and purification processes. In the transesterification process, a catalyst was added in the range of 2-6% m/v and 75% methanol, while in the refining process, active charcoal filter cigarette adsorbents were added in the range of 5-10% m/v. The data obtained was subjected to statistical analysis using the Response Surface Methodology (RSM) Central Composite Design (CCD) method. Based on statistical analysis, a linear model equation was obtained and there were no optimum and minimum points. This research also obtained the highest bisodiesel yield of 73.33% at a catalyst concentration of 6% m/v and adsorbent of 5% m/v. Some of the quality characteristics of the biodiesel produced are in accordance with SNI standards.

A Linear Regression-based Analysis of the Value of U.S. Construction Firms

The construction industry has faced a block in its development in recent years, and the need to enhance the value of construction industry enterprises is imminent. The U.S. construction market is one of the most prosperous markets in the world, so the study of enhancing the value of firms within the U.S. construction industry holds considerable importance. Many previous studies have focused only on qualitative factors, which has some limitations. Therefore, this study investigates how to enhance the market value of U.S. firms from the perspective of financial factors. This study uses regression analysis to select the financial data of 34 U.S. companies listed in the construction industry. Then the relationship between their EV/EBITDA, net profit margin, and gross profit margin is modeled, and four sets of linear regression equation models are established, revealing that net profit margin, gross profit margin, and enterprise value have a significant positive relationship.

Dam construction accelerated the development of biological soil crusts in degraded soil patches in the Lhasa River basin, Qinghai-Tibetan Plateau

The Lhasa River Basin currently faces severe land degradation. In recent years, several dams have been built on the main stream, whereas, their impact on land desertification remains less elucidated. Herein, we investigated variances of soil properties and microbial communities in biological soil crusts (BSCs) along the valley area of Lhasa River and the mountain slope (altitude gradient) in reservoir area after five years of dam construction. Soil nutrient and water contents, enzyme activities, and N-cycle related functional gene copies significantly increased in reservoir-affected areas and decreased with the increase of mountain slope altitude and the distance away from the reservoir, which were usually degraded soil patches; similarly, the relative abundance of bacteria, fungi and moss in BSCs significantly increased in reservoir-affected areas, whilst that of cyanobacteria was higher in degraded soil patches. The linear and structural equation models also showed that dam construction altered water distribution status of soil surface, which enhanced soil properties, N-cycle and increased the relative abundance of moss of BSCs, and successfully accelerated the development and succession of BSCs in degraded soil. This study firstly reported that dam construction could accelerate the succession process of degraded soil in the reservoir affected area and thus a reference for ecological restoration of desertification soil of the Lhasa River Basin in QTP.

Solving a non-local linear differential equation model of the Newtonian-type

Solving a non-local linear differential equation model of the Newtonian-type

THE INFLUENCE OF PEER ENVIRONMENT ON STUDENT LEARNING ACHIEVEMENT MAJORING

This research aims to determine the influence of the peer environment on the learning achievement of students majoring in accounting at SMK Negeri 2 Sidrap. The variables in this research are the peer environment as the independent variable (X) and learning achievement as the dependent variable (Y). The population of this study were all students majoring in Accounting at Negen 2 Sidrap Vocational School, totaling 122 students, while the sample used proportionate stratified random sampling technique with a sample size of 55 students. The data collection technique used was a questionnaire and documentation. The data analysis technique used was descriptive analysis of the percentage of instrument tests and test the hypothesis using SPSS 25 for windows. Based on the results of the data analysis that has been carried out, a simple linear regression equation model Y-63.760+0.351 From the results of the analysis of the coefficient of determination (R), the value R2-45% is obtained, which means that the peer environment contributes to student learning achievement by 45% and the remaining 55% is influenced by natural factors. Meanwhile, from the results of the t-test, a significant value of 0.000 0.05 is obtained, which means Peer environment has a significant effect on student achievement, thus the 'accepted hypothesis.Keywords: Peer Environment; Learning Achievement

The Influence of Emotional Intelligence on Student Learning Outcomes at Religion-based High School in Indonesia

This study investigates the impact of emotional intelligence on the mathematics learning outcomes of 4th-grade students at MIS Harisma Pulo Padang, Labuhanbaru Regency, Indonesia. Employing quantitative research methodology, the descriptive analysis indicates that emotional intelligence maintains a constant value of 66.008. Furthermore, the regression coefficient for the emotional intelligence variable is calculated at 0.256, signifying that for every unit increase in emotional intelligence, there is a corresponding increase of 0.256 in learning outcomes, as expressed in the simple regression equation Y = 66.008 + 0.256X. The calculated t value for emotional intelligence stands at 0.00, supporting the acceptance of Ha, which asserts a positive correlation between emotional intelligence and mathematics learning outcomes. Moreover, the F probability value (F-calculated) of 0.004 &lt; 0.05, along with t= 3.100 and t-table = 2.029, indicates that the condition t-count &gt; t-table is met. Consequently, with a determination coefficient of 21.1%, Ha is affirmed while H0 is rejected, implying that the linear regression equation model, based on the research data, is statistically significant and complies with linearity criteria. In conclusion, emotional intelligence significantly influences mathematics learning outcomes.