Linear Equation Model Research Articles

Electrohydrodynamic Couette–Poiseuille Flow Instability of Two Viscous Conducting and Dielectric Fluid Layers Streaming through Brinkman Porous Medium

The electrohydrodynamic plane Couette–Poiseuille flow instability of two superposed conducting and dielectric viscous incompressible fluids confined between two rigid horizontal planes under the action of a normal electric field and pressure gradient through Brinkman porous medium has been analytically investigated. The lower plane is stationary, while the upper one is moving with constant velocity. The details of the base state mathematical model and the linearized model equations for the perturbed state are introduced. Following the usual procedure of linear stability analysis for viscous fluids, we derived two non-dimensional modified Orr–Sommerfeld equations and obtained the associated boundary and interfacial conditions suitable for the problem. The eigenvalue problem has been solved using asymptotic analysis for wave numbers in the long-wavelength limit to obtain a very complicated novel dispersion relation for the wave velocity through lengthy calculations. The obtained dispersion equation has been solved using Mathematica software v12.1 to study graphically the effects of various parameters on the stability of the system. It is obvious from the figures that the system in the absence of a porous medium and/or electric field is more unstable than in their presence. It is found also that the velocity of the upper rigid boundary, medium permeability, and Reynolds number have dual roles on the stability on the system, stabilizing as well as destabilizing depending on the viscosity ratio value. The electric potential, dielectric constant and pressure gradient are found to have destabilizing influences on the system, while the porosity of the porous medium, density ratio and Froude number have stabilizing influences. A depth ratio of less than one has a dual role on the stability of the system, while it has a stabilizing influence for values greater than one. It is observed that the viscosity stratification brings about a stabilizing as well as a destabilizing effect on the flow system.

Association of smoking history on health-related quality of life in patients undergoing radical cystecomy.

Radical cystectomy (RC) has the potential to impact health-related quality of life (HRQOL). Many patients who undergo RC are current or former smokers. To better inform preoperative patient counseling, we examined the association between smoking status and HRQOL after RC. A secondary analysis was performed on a prospective, longitudinal study (2008-2014) examining HRQOL in patients undergoing RC for bladder cancer. We analyzed 12 validated patient-reported outcome measures that focused on functional, symptomatic, psychosocial, and global HRQOL domains. Measures were collected pre-operatively and 3-, 6-, 12-, 18-, and 24-months postoperatively. For each HRQOL domain, we estimated the mean domain scores using a generalized estimation equation linear regression model. Each model included survey time, smoking status, and time-smoking interaction as covariates. Pairwise comparisons of current, former, and never smokers were estimated from the models. Of the 411 patients available for analysis, 29% (n = 119) never smoked, 59% (n = 244) were former smokers, and 12% (n = 48) were current smokers. Over the follow-up period, never smokers compared to current smokers had better global QOL scores (mean difference = +8.9; 95% CI 1.3-16; p = 0.023) and lower pain levels (mean difference = -10; 95% CI -19 to -0.54; p = 0.036). Compared to current smokers, former smokers had marginal improvements in global QOL (+6.9 points) and pain (-7.5 points) during the follow-up period. Current smokers reported worse HRQOL recovery in the 24-months after RC. These findings can be used to counsel patients who smoke on recovery expectations.

Early-initiated childhood reading for pleasure: associations with better cognitive performance, mental well-being and brain structure in young adolescence.

Childhood is a crucial neurodevelopmental period. We investigated whether childhood reading for pleasure (RfP) was related to young adolescent assessments of cognition, mental health, and brain structure. We conducted a cross-sectional and longitudinal study in a large-scale US national cohort (10 000 + young adolescents), using the well-established linear mixed model and structural equation methods for twin study, longitudinal and mediation analyses. A 2-sample Mendelian randomization (MR) analysis for potential causal inference was also performed. Important factors including socio-economic status were controlled. Early-initiated long-standing childhood RfP (early RfP) was highly positively correlated with performance on cognitive tests and significantly negatively correlated with mental health problem scores of young adolescents. These participants with higher early RfP scores exhibited moderately larger total brain cortical areas and volumes, with increased regions including the temporal, frontal, insula, supramarginal; left angular, para-hippocampal; right middle-occipital, anterior-cingulate, orbital areas; and subcortical ventral-diencephalon and thalamus. These brain structures were significantly related to their cognitive and mental health scores, and displayed significant mediation effects. Early RfP was longitudinally associated with higher crystallized cognition and lower attention symptoms at follow-up. Approximately 12 h/week of youth regular RfP was cognitively optimal. We further observed a moderately significant heritability of early RfP, with considerable contribution from environments. MR analysis revealed beneficial causal associations of early RfP with adult cognitive performance and left superior temporal structure. These findings, for the first time, revealed the important relationships of early RfP with subsequent brain and cognitive development and mental well-being.

Two for the GOES: Exploring Gambling Outcome Expectancies Scores Across Mixed and Offline-Only Gamblers in Relation to Problem Gambling Risk Status

As online gambling becomes more prevalent, understanding the motives of online gamblers has become a key focus for research and practice. The aim of this study was to understand differences in gambling-related outcome expectancies between mixed (both online and offline) gamblers and offline-only gamblers, by incorporating gambling harm risk categories from the problem gambling severity index (PGSI). This study comprised a secondary data analysis of the 2015 Northern Territory Gambling Prevalence and Wellbeing Survey. A sample of 1207 individuals in the Northern Territory who had reported gambling at least once in the previous 12 months were used in the analyses. General linear and structural equation modelling were used to ascertain differences in gambling outcome expectancies, in relation to gambling modality (i.e., mixed, offline-only) and PGSI scores. Mixed gamblers tended to score higher on all outcome expectancies than their offline-only counterparts. Outcome expectancy scores were higher in individuals in higher-risk PGSI categories. The escape outcome expectancy was dependent on both modality and risk category. Invariance testing of a low and problem gambling risk subsample revealed differential relationships for both the escape and excitement outcome expectancies for mixed and offline-only gamblers. The results provide an important contribution to the existing literature regarding motivation and outcome expectancies in relation to gambling modality and problem gambling severity. The findings highlight the importance of considering both gambling outcome expectancies and modality when considering problem gambling.

Pengaruh Partisipasi Anggaran, Evaluasi Anggaran dan Kejelasan Tujuan Anggaran Dana Desa terdapat KinerjaAparatur Pengelolaan Dana Desa (Studi di Kecamatan Nisam Antara)

This study aims to examine budget participation, budget evaluation and the clarity of village fund budget objectives on the performance of village fund management officials in Nisam Antara District. The research location was in Nisam Antara District which consisted of Gampong Alue Papeun, Gampong Blang Jrat, Gampong Alue Dua, Gampong Darussalam Gampong Blang Pohroh, and Gampong Seumirah. The data used in this study are primary data with a sample of 79 people. Data processing is carried out with the help of multiple linear regression equation models. The results showed that: Partially budget participation, evaluation of the village fund budget and clarity of village fund budget objectives have positive and a significant effect on the performance of village fund management officials in Nisam Antara District. Simultaneously budget participation, budget evaluation, and clarity of village fund budget objectives have a significant effect on the performance of village fund management officials in Nisam Antara District.

Carbon Stores and CO2 Absorption Potential in Palm Oil Reclamation Area PT. Borneo Indobara (BIB), Tanah Bumbu District, South Kalimantan

Stored carbon in plant coconut palm will experience change along with growth and development plant, where rate growth plants and carbon stored will affected by conditions fertility as well as topography soil in the planting area plant coconut palm. Study This aim For do analyze savings carbon and potential CO2 absorption in the reclamation area plant coconut palm oil at PT. Indobara Borneo (BIB). The research was conducted in the Batulaki Palm Oil Reclamation Area at PT. BIB, Administratively PT BIB with a work agreement area of 24,100 ha. Carbon storage in the reclamation area of PT. BIB in 2009 - 2013 amounted to 4,837.87 tons with a total reclamation area of 101.15 ha. CO2 absorption potential in the reclamation area of PT. BIB in 2009 – 2013, namely 17,754.99 tons of CO2 The model for estimating carbon storage in oil palm plantations in the reclamation area until the end of the mine (2036) uses a linear regression equation model with an R2 value of 0.96 4 with the resulting model " y=2.1341" ("x" )" - 7.7287". Based on the resulting model, it is predicted that the carbon stock of oil palm plants in 2036 will be 52.6 tons C/Ha.

Study of the differences among hyperspectral estimation models under different measurement light source conditions

ABSTRACT In hyperspectral remote sensing measurements, the spectral effective information extracted under different measurement light source conditions will produce differences, which in turn affects the robustness of the constructed models. Therefore, it is important to study the differences between hyperspectral estimation models under different measurement light source conditions to construct a general hyperspectral model of vegetation parameters under different light source conditions. In this paper, hyperspectral models are constructed from artificial and natural light sources, and the hyperspectral reflectance and the corresponding SPAD values of artificial and natural light sources under winter wheat, corn and tea tree were measured under the same time period and the same light measurement angle and height. The collected data were used to construct models for the four vegetation indices with better results after screening and to explore how to reduce model variability under different measured light source conditions. The results show that the difference between the artificial light source and natural light source models is significant (the coefficient of determination R2 is significantly different between the artificial light source and natural light source models), and the influence of different light sources on the construction of hyperspectral estimation models can be reduced by selecting vegetation indices. The linear regression equation model constructed by NDVI can effectively reduce the influence of different light sources on the construction of SPAD hyperspectral models and make the model more general. This study can provide new ideas and methods to investigate the differences in spectral models under different measurement light sources.

The Effects of Company Profit and Loss and Type of Industry on the Profitability of PT. Perkebunan Nusantara IV North Sumatra, Indonesia

This study determines the effects of company profit and loss and the type of industry on the profitability of PT Perkebunan Nusantara IV North Sumatra. This study used a quantitative method with multiple linear regression equation models to answer the research problems. The results show that the Profit and Loss variable has a positive and significant effect, the type of industry variable has a significant effect, and the Profit and Loss variable and Industry Type have a significant effect simultaneously on the Profitability of PT. Perkebunan Nusantara IV. Companies should be able to increase revenue by reducing costs efficiently so that the profits obtained can increase and financial performance can be better. PT. Perkebunan Nusantara IV has a good profitability ratio. To further increase profits in the following year, the company must be able to manage the capital invested in assets and increase net income to obtain a better net profit.

Personalized driving safety: Using telematics to reduce risky driving behavior among young drivers

Introduction: The role of real-time data capture (via telematics technology) is gathering prominence as a strategy to provide feedback to young drivers about important road safety issues. Method: A naturalistic driving study was undertaken to determine whether providing personalized feedback (via a smartphone app) to young provisional drivers aged 17–20 years living in metropolitan and regional Western Australia (WA) reduced their risky driving behavior compared to a control group who did not receive feedback. Speeding over the posted speed limit, harsh decelerations (braking), harsh accelerations and overall driving performance, were recorded continuously using the smartphone app during the 11-week study. Four separate Generalised Estimating Equations (GEE) linear regression models were undertaken after accounting for relevant confounders including driving exposure to determine the difference between the intervention and control group for the 4 driving outcomes obtained from the smartphone app. Results: The study found that there was no significant change in overall driving scores between the intervention and control groups (p = 0.35). However, the overall driving score significantly improved by 0.19 points for young provisional drivers who lived in regional areas compared to those in the metropolitan area (p = 0.05) after adjusting for potential confounders. There was also no significant change in harsh braking scores (p = 0.46) and harsh acceleration scores between the intervention and control groups (p = 0.26) However, harsh acceleration scores improved by 0.37 points for females compared to males (p = 0.04). Lastly, there was no significant change in speed scores between the control and intervention groups (p = 0.72). However, the speed scores of participants who lived in regional WA improved by 0.22 points compared to those in the metropolitan area (p = 0.02). Furthermore, for every 1,000 km travelled, speed scores worsened by −0.08 points (p < 0.01) regardless of group. Conclusions: The study did not find any statistical difference in the driving outcomes examined; however the treatment effects for feedback were consistently in the expected positive direction. Young drivers in regional WA also improved their speeding scores and overall driving performance scores compared to young drivers in the metropolitan area. Females, also significantly improved their harsh deceleration scores compared to males, regardless of group allocation. These results highlight the use of smartphone telematics as an opportunity to not only enhance the safety of provisional young drivers but also provide data-informed decision making and policy development.

Quality Evaluation of Innovation and Entrepreneurship Education Based on Modelling of Students’ Behavior Sequences

In the Innovation and Entrepreneurship (I&amp;E) education of some higher vocational colleges, there’s a common problem: serious disconnection between professional education and practical education, which may result in poor quality of I&amp;E education. With the help of I&amp;E education quality evaluation, we can figure out the distribution and utilization of education resources, discover and solve problems during the teaching process in time, and optimize and adjust teaching content and methods in a targeted manner. Student behavior analysis can reveal the actual needs and questions encountered by students during I&amp;E education, thereby attaining more pertinent and pragmatic evaluation results. For this reason, this paper aims to study the I&amp;E education quality evaluation by means of modelling students’ behavior sequences. At first, a student I&amp;E behavior sequence feature extraction module was created based on attention mechanism, and the student I&amp;E ability level feature extraction layer and student I&amp;E ability level feature evolution layer contained in the module structure were introduced in detail. Then, the data sources of I&amp;E education quality evaluation based on students’ I&amp;E behavior analysis were given, the I&amp;E behavior sequences of students were modeled based on the single-sequence first-order linear differential equation model GM(1,1), and the established model was applied to I&amp;E education quality evaluation. At last, experimental results verified the validity and accuracy of the proposed method.

Risk Map of African Swine Fever In Dairi District, North Sumatra Province

Increasing the consumption of pork can benefit farmers in several regions of Indonesia. Most of the profits earned by pig farmers are obtained through exporting pork to foreign countries. Pig farming in Indonesia is threatened with survival caused of an outbreak of African Swine Fever (ASF). ASF disease outbreaks in several countries, including Indonesia, are problems that have not been resolved. This study aimed to identify the influence of environmental factors on ASF outbreaks in North Sumatra Province. Data in this study is the incidence of ASF outbreaks in 2019 and 2020, including the outbreak’s date, the outbreak, the location of the outbreak, and the number of pig deaths due to ASF. Data analysis was performed using multiple linear regression analysis. The results showed that the environmental factor influencing the incidence of disease cases (ASF) in Dairi Regency, North Sumatra Province, with p_value < 0,1, was a traditional market. The multiple linear regression equation models obtained are Yi = 5545 X6 (Market). The traditional market has a role in the spread of ASF because of the buying and selling of live cattle and pork. The risk map is divided into three zones: high, medium, and low. High risk is a location 5 km from the market, the medium risk is a location 10 km away from the market, and low risk is 20 km from the market. The risk map can be used as a reference for the prevention and control of ASF in Dairi District, North Sumatra Province. Prevention and control can be focused on the existence of traditional markets as a source of ASF spread.

Sector Specific Aid Inflow, Institutional Quality and Human Development in Selected Developing Countries

Sector specific aid inflow has been considered significant for improved human development in developing economies. For this, we have analyzed how sector specific aid inflows and institutional quality affect human development by using panel data from 18 developing economies between 2002 and 2018. We have used a single equation linear model generalized method of moments (GMM) to examine the relationship between dependent and independent variables. The data has been taken from World Development Indicators, World Bank, and Organization for Economic Cooperation and Development. The result showed that aid and institutional quality were positively and significantly linked with the human development index. More aid was justified if stronger economic, political, and institutional governance could be secured in the receiving nations and the requirement for institutional improvements to make aid an influential instrument for human development in the concerned economies. The study suggests for more proper allocation of aid commitments among these countries for high growth and development. There should be a stable economic and political environment and high trade with other countries.

Adsorption Characteristics and Influencing Factors of Chlorinated and Aromatic Hydrocarbons on Aquifer Medium

To determine the competitive adsorption characteristics and influencing factors of chlorinated and aromatic hydrocarbons on the aquifer medium, toluene, benzene, 1,2−dichloropropane, and 1,2,3−trichloropropane (TCP) were selected as typical pollutants for adsorption tests. The results showed that the adsorption process of pollutants on the aquifer medium conformed to the first−order kinetic and Henry linear model equation, and the adsorption capacity decreased in the order of toluene, benzene, 1,2−dichloropropane, and TCP. Benzene promoted the adsorption of toluene on the aquifer medium, while toluene reduced the adsorption of benzene conversely. 1,2−dichloropropane restrained the adsorption of TCP, and TCP had no significant effect on the adsorption of 1,2−dichloropropane. The adsorption capacity of TCP on the aquifer increased with the concentration of toluene. TCP acted as a stimulus for the adsorption of toluene when the initial concentration of toluene was lower than 2 mg/L. In contrast, TCP served as an inhibitor for the adsorption of toluene on the aquifer medium. Furthermore, the adsorption of all pollutants increased with decreasing medium size. The promotion rates for aromatic and chlorinated hydrocarbons were 7.2~41.1% and 2.7~27.1%, suggesting that the promotion effect on aromatic hydrocarbons was stronger than that on chlorinated hydrocarbons. Natural organic matter (NOM) inhibited the adsorption of pollutants on the aquifer medium (especially for high concentrations of chlorinated hydrocarbons), and the adsorption rate increased by more than 60% when OM decreased from 0.25% to 0.08%. Clay minerals improved the adsorption of organic pollutants in different compound pollution systems, and montmorillonite exhibited a stronger promoting effect than kaolin.

Smoothing filter design: A general framework

Signal filtering/smoothing is a challenging problem arising in many applications ranging from image, speech, radar and biological signal processing. In this paper, we present a general framework to signal smoothing. The key idea is to use a suitable linear (time-variant or time-invariant) differential equation model in the regularization of an optimization problem. The presented approach has many applications in signal processing. Specifically, the quadratic variation (QV) regularization and smoothness priors are special cases of the proposed framework. These two methods are particularly suited for polynomial signal smoothing, as they use the derivatives of the signal in the regularization term of the optimization problem. Therefore, their performance is significantly decreased for signals that cannot be well modeled with a low order polynomial function. The approach presented in this paper was used to overcome this limitation. As proof of other applications, it was employed for designing an extension of QV regularization to remove the baseline wander in electrocardiogram (ECG), simultaneous tracking of powerline interference and baseline wander, and T-wave amplitude computation.

Dietary intake and quality for young adolescents in sub‐Saharan Africa: Status and influencing factors

Adolescents face the risk of the triple burden of malnutrition-the co-existence of micronutrient deficiencies, underweight and overweight and obesityand related noncommunicable diseases. Poor-quality diets are a modifiable risk factor for all forms of malnutrition in adolescents. However, there is limited knowledge about diet quality for African adolescents. We analyzed data from 4609 school-going adolescents aged 10-15 years in Burkina Faso, Ethiopia, Sudanand Tanzania. Dietary intake was assessed using food frequency questionnaires, and diet quality computed using the Global Diet Quality Score (GDQS). Generalized estimating equations linear regression models were used to evaluate factors associated with adolescent diet quality. Mean adolescent age was 12.4 (±1.4) years and 54% of adolescents were female. Adolescents reported physical activity on 1.5 (±1.7) days/week. The mean GDQS (±SD) was 20.6 (±4.0) (maximum 40). Adolescent consumption of vegetables, fruit, nuts and seeds, eggs, fish and poultry was low, and refined grain consumption was relatively high. Boys consumed unhealthy foods less frequently but consumed fewer cruciferous vegetables and deep orange tubers. Older adolescents had higher fish and lower red meat consumption. Having an unemployed mother versus farmer (estimate -2.60, 95%confidence interval [CI]: -4.81, -0.39), and having 3-4 days of physical activity per week versus none (estimate 0.64, 95%CI: 0.11, 1.17) were associated with GDQS. We found evidence of poor-quality adolescent diets and gender and age differences in the consumption of healthy diets. Programs to address poor-quality diets should consider tailoring interventions for adolescent girls and boys of different ages and also consider the role of physical activity in these contexts.

On Tsunami Waves Induced by Atmospheric Pressure Shock Waves After the 2022 Hunga Tonga‐Hunga Ha'apai Volcano Eruption

AbstractEmploying a linear shallow water equation (LSWE) model in the spherical coordinates, this paper investigates the tsunami waves generated by the atmospheric pressure shock waves due to the explosion of the submarine volcano Hunga Tonga–Hunga Ha'apai on 15 January 2022. Using the selected 59 atmospheric pressure records in the Pacific Ocean, an empirical atmospheric pressure model is first constructed. Applying the atmospheric pressure model and realistic bathymetric data in the LSWE model, tsunami generation and propagation are simulated in the Pacific Ocean. The numerical results show clearly the co‐existence of the leading locked waves, propagating with the speed of the atmospheric pressure waves (∼1,100 km/hr), and the trailing free waves, propagating with long gravity ocean wave celerity (∼750 km/hr). During the event, tsunamis were reported by 41 Deep‐ocean Assessment and Reporting of Tsunamis (DART) buoys in the Pacific Ocean, which require corrections because of the occurrence of atmospheric pressure waves. The numerically simulated tsunami arrival time and the amplitudes of the wave crest and trough of the leading locked waves compare reasonably well with the corrected DART measurements. The comparisons for the trailing waves are less satisfactory, since free waves could also have been generated by other tsunami generation mechanisms, which have not been considered in the present model, and by the scattering of locked waves over changing bathymetry. In this regard, the numerical results show clearly that the deep Tonga trench (∼10 km) amplifies the trailing waves in the Southeast part of the Pacific Ocean via the Proudman resonance condition.

PENGARUH PENGAWASAN PIMPINAN TERHADAP EFEKTIVITAS PENERIMAAN RETRIBUSI TERMINAL DI UPTD PERHUBUNGAN CIBADAK

The aims of this study are to find out: (1) How is the Supervision of Leaders at the UPTD Transportation Cibadak Sukabumi Regency. (2) How is the Effectiveness of Receipts for Receiving Terminals at the UPTD Transportation of Cibadak, Sukabumi Regency. (3) How big is the influence of leadership supervision on the effectiveness of receiving terminal fees at the Cibadak Transportation UPTD, Sukabumi Regency. The researcher used a quantitative approach, the sample used was 109 people from a population of 896 people taken by probability sampling technique with the Disproportionate stratified random sampling method and the Slovin formula as a tool. There are two variables studied in this study, namely (1) Leadership Supervision (X) and (2) Effectiveness of Receipt of Terminal Retribution (Y). The tool used in this study is a questionnaire with a rating scale of 5 (five) choices. The data collected was then analyzed using descriptive analysis techniques using item averages, while statistical analysis techniques used Pearson Product Moment (PPM) correlation analysis, and simple linear regression equation models. The calculation results show that the cumulative average value of the Leadership Supervision variable is 3.61, which is included in the good category, while the Effectiveness of Receipts for Terminal Retribution of 3.61 is included in the good category. The results of statistical analysis obtained the price of r_xy = 0.444 which is included in the fairly strong category with a significance value (2-tailed) 0.000 &gt; 0.005 or t_count = 41.97 &gt; t_table = 1.981 so that it can be concluded that Leadership Supervision has a positive and significant effect on the Effectiveness of Retribution Receipts. Terminal while the Coefficient of Determination (KD) is 0.9428, which means 94.28% of the Effectiveness of Terminal Retribution Receipts (Y) can be explained by the Leadership Supervision variable (X) and the rest is determined by other factors. Furthermore, the linear regression equation model is = 0.641 + 0.980X. Therefore, to improve the effectiveness of Terminal Retribution Receipts, it is suggested to the Chief Executive to improve the Supervision function.

Experimental Determination and Modeling of Density, Viscosity, and Surface Tension for Sulfolane + Ethyl Acetate and + n-Propyl Acetate

The density, viscosity, and surface tension for the binary mixtures of sulfolane + ethyl acetate and + n-propyl acetate were measured at the atmospheric pressure and temperature ranging from 308.15 to 328.15 K. The linear equation and Andrade model were successfully used to correlate the experimental density and viscosity, respectively. On the basis of the experimental data, the viscosity energy barrier and the surface entropy/enthalpy were further obtained. The calculation of the molecular interaction energy using the Dmol3 module in Materials Studio software shows that the interaction energy in sulfolane + ethyl acetate is slightly greater than one in sulfolane + n-propyl acetate, which is consistent with the experimental observation. In addition, each experimental property of density, viscosity, and surface tension can well be reproduced by the square-well chain fluid with variable range (SWCF-VR) equation of state with one different binary adjustable parameter.

Pengaruh Penggunaan Metode Learning Start With A Question (LSQ) Pada Mata Pelajaran Pendidikan Agama Islam Terhadap Hasil Belajar Siswa

The main topic of this study is the application of the Learning Start With A Question (LSQ) method in the subject of Islamic Religious Education to the learning outcomes of students in class XI IPS 1 and XI IPS 3 at SMA Negeri 3 Pariaman. Based on observations and interviews, it is known that student learning outcomes still relatively low before the implementation of this method. This type of research is quantitative research using correlational research methods with the form of the relationship in this study Bivariat, namely a relationship that involves one independent variable with one dependent variable. The population in this study were class XI IPS 1 and XI IPS 3 totaling 67 students. Based on the results of the analysis that has been carried out, a simple linear regression equation model is obtained Y = 5.235 + 0.781X, which means that if the Learning Start With A Question (LSQ) method is getting better, it will increase by 0.781%. From the results of the analysis of the coefficient of determination (R^2) it is known that the value (R^2) is 0.174 or 17.4%, which means that the Learning Start With A Question (LSQ) method has a contribution to learning outcomes and the remaining 82.6% is influenced by other factors . While the results of the F test analysis obtained the value F_count &gt; F_table (13.705 &gt; 3.10) which means that the Learning Start With A Question (LSQ) method simultaneously has a positive and significant effect on student learning outcomes. While the T test obtained a T_count value of 3.702 &gt; 1.669 meaning that the Learning Start With A Question (LSQ) method partially had a positive and significant effect on student learning outcomes. Based on the data analysis processing, the Learning Start With A Question (LSQ) method can be applied to the teaching and learning process in schools to improve student learning outcomes.&#x0D;

ANALISIS FAKTOR-FAKTOR PEMILIHAN TRANSPORTASI ONLINE

Online motorcycle taxis are a type of transportation that is widely used to support daily activities. The purpose of this study is to analyze what factors are considered in choosing an online motorcycle taxi. The method used is to form a linear regression equation model with four variables, including ease of use (X1), tariff (X2), security (X3), and efficiency (X4). The results obtained from the research equation model Y = 6.682 + 1.469 X1 + 0.456 X2 + 0.773 X3 + 0.945 X4. The results of the test for the coefficient of determination (R) are 52.6%, the choice of online motorcycle taxis is influenced by these variables. The F test shows F count (26.396) &gt; F table (2.699), meaning that the independent variable X has a significant effect simultaneously on variable Y. The t test shows t count values X1 (3.432), X2 (2.425), and X4 (3.201) &gt; from t table (1.98498), meaning that these variables have a partial effect on Y. Meanwhile, t count X3 (1.520) &lt; t table (1.98498), then variable X3 has no partial effect on Y.