Statistical Regression Analysis Research Articles

The amount of drunk days and its relationships with other characteristics of alcoholic behavior of the respondents

Introduction Alcohol abuse is a multifaceted problem. Its harmful effects on the individual have been more studied. Less studied is the influence of a drinking person on his microsocial environment. Having an abusing person in his space makes it interesting to study the influence of some quantitative and qualitative indicators of his alcohol consumption on the microsocial environment.Objectives1532 people were examined during 2018-2022, who belonged to three comparison groups: patients with alcohol dependence (AD) (401 people); healthy relatives of AD patients (725 people); representatives of the general population comparable with the representatives of the first two age groups (406 people).MethodsThe main research instruments were the questionnaire of the international research consortium “GENAHTO” (Gender, Alcohol, and Harms to Others), as well as the Alcohol Use Disorders Identification Test (AUDIT). The obtained data were processed by methods of mathematical statistics (variance, correlation and regression analysis).Results An algorithm for regression analysis in conditions of high dispersion of the initial data has been developed. Using this algorithm, it was shown that the regression dependence of the main characteristics of alcohol behavior on the frequency of DD is non-linear, while for typical and maximum doses of alcohol it is optimally described by polynomials of the second degree, and for the severity of disorders due to alcohol use (AU), the time spent on AU, as well as self-assessment of the negative impact of AU by respondents on their environment - by polynomials of the third degree. It was found that for men (on average) to reach the border of risky-dangerous AU (according to the criteria of the AUDIT test), a lower frequency of DD is sufficient than for women, which indicates a greater vulnerability of men (compared to women) to the formation of disorders due to AU.ConclusionsIt was established that for men (on average) to reach the limit of risky and dangerous (according to the criteria of the AUDIT test), a lower frequency (2-3 times a week) is enough than for women (3-4 times a week), which once again indicates greater vulnerability of men (compared to women) to the formation of due to psychological problems and mental disorders.Disclosure of InterestNone Declared

Resistance pattern observed in community-acquired urinary tract infection in children from a tertiary care hospital situated in a tribal district of eastern India

ABSTRACT Background: Community-acquired urinary tract infection (CA-UTI) is mostly treated empirically. There are limited studies on pediatric UTIs, their microbiological profile, and resistance patterns. Antimicrobial resistance and even multidrug resistance are on the rise among uropathogens in the pediatric population and may lead to complications in the long run. This study was done to know the microbiological profile and the resistance pattern of CA-UTI in the pediatric population of a tertiary care hospital in a tribal district of northern Odisha among children aged 5–14 years. Methods: A hospital-based cross-sectional study was done from January 2021 to June 2021. All cases aged between 5 and 14 years attending the pediatrics outpatient department suspected of UTI were included. Descriptive statistical analysis and regression analysis were done using the statistical software Stata SE 13. Results: Out of the total 311 cases, vomiting and pain in the abdomen were the most common clinical presentations. Significant bacterial growth was isolated in 74 samples. Escherichia coli (39.2%) was the predominant isolate. Resistance to cefotaxime (38.2%) and ciprofloxacin (36.4%) is highest and seen in both gram-positive and negative bacteria. Multidrug resistance was detected in 33.7% of the bacterial isolates. Conclusion: The present study highlights the problem of the rising resistance pattern of common bacterial pathogens causing CA-UTI in children. Further studies on genotypic resistance and appropriate measures are required to prevent the rapidly spreading resistance among these common uropathogens.

Differences in the Role of Psychological Well-Being and Subjective Well-Being in Predicting Work Engagement

Employees with high Work Engagement (WE) are believed to be more reliable in achieving organizational goals. This research aims to determine the differences in the role of well-being with the concepts of hedonic and eudemonic in predicting WE. The subjects of this research consisted of 327 people, who were analyzed in 3 stages, namely 110 people who were analyzed in stage-1, 217 people who were analyzed in stage-2, and all research subjects were analyzed in stage-3. All data for this research were collected using the WE scale, PWB scale, SWFL scale, and PANAS, which have a Chronbach alpha reliability coefficient of .773 respectively; .831; .627; 747; 744. In stage-1 research analysis, SWB and PWB show more of just one component, whereas in stage-2 and stage-3 research analysis, they are more likely to be seen as two different factors in predicting WE. The results of the stepwise model multiple regression statistical technique analysis concluded that the regression coefficient on the influence of SWB and PWB on WE from the three analyses stated that PWB was stronger than SWB in predicting WE. Thus, it can be interpreted that to predict WE the Well-Being concept with the eudemonic concept is greater than using well-being with the hedonic concept.

Operational risk estimation using system analysis methodology

Financial risks are considered today as popular research topics due to the existing practical necessity for the use of their mathematical models, estimates of possible loss in many areas of human activities, forecasting, and respective managerial decisions in financial and other spheres where capital, obligations, stocks, bonds, and other activities are circulating successfully. Financial processes today exhibit sophisticated forms of evolution in time that require the application of sophisticated modeling, risk estimating, forecasting, and decision-making/support methods, techniques, and procedures. The system analysis approach is applied to solving such problems as a unique and universal research methodology. The financial risks, specifically the operational ones in the study considered, are classified as nonlinear and nonstationary processes that require appropriate methods for analysis and a rather sophisticated analytical description to estimate and forecast possible loss. The results of operational risk analysis are achieved in the form of systemic methodology, models constructed with statistical data, regression analysis, and Bayesian techniques, and estimated loss with the models. The models and system analysis approach proposed for analyzing financial processes are suitable for practical applications, provided the users have appropriate statistical data and expert estimates.

Business responsibility and government complicity in environmental conflicts: a quali-quantitative analysis of global patterns

ABSTRACT Our paper aims at widening political ecology research on business’ responsibility and public governance conditions in cases of violation of Environmental-related Human Rights (ERs), by adopting a quantitative perspective. We focused on a subset of socio-environmental conflicts (SECs) that directly connect with the violations of ERs. We propose a quali-quantitative analysis to explore the country distribution of the incidence of violations of ERs leading to SECs (VERCs) worldwide; the extent to which these can be associated with the involvement of business companies; and the general governance conditions spatially associated with the emergence of VERCs, regardless of the involvement of businesses. Through statistical regression analysis, we showed that the evidence of business’ implication in VERCs and of the lack of adequate public governance conditions suggest the need to complexify our perspective with a more nuanced understanding of the patterns of liability and complicity between diverse actors involved in SECs.

Impact of Different Exchange Rate Policies on Stock Market Performance: Kuwait vs Saudi Arabia

This paper examines the intricate relationship between exchange rate policies and stock market performance, focusing on Kuwait and Saudi Arabia in the Gulf region. It investigates the historical evolution of exchange rate regimes in both countries, analyzing their unique policy objectives. Using empirical analysis, the research explores the correlation between exchange rates and stock market indices, employing statistical methods and regression analysis to identify patterns. Comparative assessments reveal distinct patterns in stock market performance, shedding light on the effectiveness of different exchange rate systems in shaping economic dynamics. The findings contribute to the literature by offering insights into the nuanced relationship between exchange rate policies and stock markets, with implications for policymakers, investors, and financial analysts. By focusing on Kuwait and Saudi Arabia, two pivotal economies, the study addresses a gap in the literature, providing a comparative perspective. Policymakers can use the findings to understand the potential impact of exchange rate policies on economic indicators. Investors can leverage the conclusions to inform their decision-making, considering the nuances of exchange rate dynamics. The study finds that both countries peg their currencies to major world currencies, primarily the USD, and identifies a strong correlation between the Kuwait Stock Index and the Saudi Tasi Index.

Assessing Regional Weather's Impact on Spinal Cord Injury Survivors, Caregivers, and General Public in Miami, Florida.

(1) Background: Climate change is increasing the already frequent diverse extreme weather events (EWE) across geographic locations, directly and indirectly impacting human health. However, current ongoing research fails to address the magnitude of these indirect impacts, including healthcare access. Vulnerable populations such as persons with spinal cord injury (pSCI) face added physiologic burden such as thermoregulation or mobility challenges like closure of public transportation. Our exploratory research assessed commute and transport to healthcare facilities as well as the knowledge, attitudes and behaviors (KAB) of pSCI regarding EWE and climate change when compared to pSCI caregivers (CG) and the general public (GP). (2) Methods: A KAB survey was employed to conduct a cross-sectional assessment of pSCI, CG, and GP in Miami from October through November 2019 using snowball sampling. Descriptive and logistic regression statistical analyses were used. (3) Results: Of 65 eligible survey respondents, 27 (41.5%) were pSCI, 11 (17%) CG, and 27 (41.5%) GP. Overall, pSCI reported EWE, particularly flooding and heavy rain, affecting their daily activities including healthcare appointments, more frequently than CG or GP. The overall models for logistic regression looking at commute to and attendance of healthcare appointments were statistically significant. pSCI self-report being less vulnerable than others, and a large proportion of each group was not fully convinced climate change is happening. (4) Conclusions: This study provided insight to the KAB of 3 population subgroups in Miami, Florida. pSCI are significantly more vulnerable to the effects of regional weather events yet exhibit disproportionate self-perception of their vulnerability. Continued and more comprehensive research is needed to characterize the barriers that vulnerable populations face during weather events.

Clinical features and risk factors of primary Sjögren's syndrome complicated with severe pneumonia: a case-control study.

To analyze clinical characteristics, risk factors, pathogen distribution, and prognostic markers in primary Sjögren's syndrome (pSS) patients with severe pneumonia (SP) compared to those without severe pneumonia (NSP). This case-control study included 24 hospitalized pSS patients with SP and 96 NSP at the first affiliated hospital of Soochow university from June 2014 to May 2023. Data encompassing demographics, comorbidities, treatments, and laboratory results were retrospectively collected. Univariate and multivariate regression analyses, ROC curves, and statistical analyses using SPSS 23.0 assessed risk factors. The study retrospectively analyzed clinical features and risk factors, highlighting distinct parameters between pSS patients with and without SP. Marked differences were observed in several parameters: pSS activity(P < 0.001), white blood cell (P = 0.043), lymphocyte (P < 0.001), neutrophils (P = 0.042), C-reactive protein (P = 0.042), and CD8+ T cell (P = 0.017). Notably, lymphocyte count and SS activity demonstrated robust discrimination ability (AUC > 0.85). C-reactive protein (CRP), procalcitonin, CD4+ T cell, and IgA showed significant associations with SP; higher CRP levels correlated with increased risk, while lower CD4+ T cell and IgA levels associated with increased risk. SS activity significantly impacted outcomes. Various biomarkers exhibited diverse discriminatory abilities but lacked strong predictive associations with outcomes. pSS patients with SP exhibited higher disease activity and altered immune profiles compared to those NSP. Lymphocyte count and SS activity emerged as robust discriminators. Higher CRP levels correlated with increased risk of SP, while lower CD4+T cell and IgA levels associated with increased risk. SS activity significantly impacted patient outcomes. Key Points • pSS patients with SP exhibited higher disease activity and altered immune profiles compared to those NSP. • Lymphocyte count and SS activity emerged as robust discriminators. • Higher CRP levels correlated with increased risk of SP, while lower CD4+ T cell and IgA levels associated with decreased risk. • SS activity significantly impacted patient outcomes.

The Effect of Profitability, Liquidity, Institutional Ownership, and Managerial Ownership on Capital Structure

This study aims to obtain empirical evidence on the effect of profitability as measured by Return on Assets (ROA), liquidity measured by Current Ratio (CR), institutional ownership, and managerial ownership on capital structure. The population of this study is companies listed as consumers of the non-cyclical sector on the IDX in 2018-2022, as many as 113 issuers. The method used is a quantitative method with statistical analysis of panel data regression. Capital structure is the dependent variable, and profitability, liquidity, institutional ownership, and managerial ownership are independent variables. The method used is a quantitative method with statistical analysis of panel data regression with the SPSS Analysis tool. Capital structure is a framework that describes how equity and debt are used to finance company operations to generate optimal returns for shareholders and maximize company returns by considering the level of risk. The results showed that partially the Probability (ROA) and Liquidity (CR) were significant to the Capital Structure (DER). Institutional and managerial ownership have no significant effect on the Capital Structure (DER).

INSTRUCTIONAL LEADERSHIP AND TEACHER EMPOWERMENT: A PREDICTION MODEL ON TEACHER EFFICACY IN PUBLIC SCHOOLS

The purpose of this study was to determine instructional leadership and teacher empowerment: a prediction model on teacher efficacy in public schools. Utilizing quantitative, non-experimental design via correlational technique, data were obtained from 256 respondents who are public elementary teachers in Cateel 1 and 2, province of Davao Oriental. The researcher utilized a stratified random sampling technique and an online survey mode of data collection. The researcher also utilized the statistical tools mean, Pearson r, and regression analysis. From the results of the study, it was found that there is a very high level of instructional leadership, teacher empowerment, and teacher efficacy. Also, results revealed that there is a significant relationship between instructional leadership and teacher efficacy and a significant relationship between teacher empowerment and teacher efficacy. Further, instructional leadership and teacher empowerment significantly predict teacher efficacy of public school teachers.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0748/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

STRESS PROFILE FOR TEACHERS AND EMOTIONAL INTELLIGENCE: A PREDICTION MODEL ON WORK-LIFE BALANCE

&lt;p&gt;The purpose of this study was to determine the stress profile for teachers, emotional intelligence: a prediction model of work-life balance. Utilizing quantitative, non-experimental design via correlational technique, data were obtained from 256 respondents who are public elementary schools in Cateel, 1 and 2, province of Davao Oriental. The researcher utilized a stratified random sampling technique and an online survey mode of data collection. The researcher also utilized the statistical tools mean, Pearson r, and regression analysis. From the results of the study, it was found that there is a moderate level of stress profile. There is a high level of emotional intelligence and work-life balance. Also, results revealed that there is a significant relationship between stress profile and work-life balance and a significant relationship between emotional intelligence and work-life balance. Further, stress profile and emotional intelligence significantly predict work-life balance.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0458/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Patterns of water use by the Australian native Melaleuca styphelioides in urban environments and comparison of transpiration prediction by three different micrometeorological models

Key messageThe high-quality sap flow dataset of Melaleuca styphelioides could assists local councils in assessing tree water use and aids in the development of an urban tree sustainable planting management planTrees have a vital part to play in urban ecosystems, offering ecological, economic, and social advantages in addition to beautifying our suburbs. Knowledge of tree water use in urban environments is crucial for facilitating urban greening when there is a perception that growing trees on the street verge on expansive soils poses a risk to pavement and buildings. Information on long-term water use by individual trees in an urban environment is essential for local councils in developing urban tree management plans for sustainable planning of trees; however, this information is scarce. Micrometeorological models have commonly been used to estimate the canopy transpiration of plants in the absence of sap flow data. However, the reliability and accuracy of these models have rarely been assessed using sap flow measurements at the field site. This study aimed to provide the water use data of four individual Australian native Melaleuca styphelioides Sm. using sap flow instruments over 25 months. Tree transpiration, estimated based on three commonly used micrometeorological models using weather parameters and tree characteristics, was assessed and compared with sap flow measurements by employing the linear regression statistical analysis. The results revealed that the modified Penman–Monteith (PM) model demonstrated the highest level of accuracy among the evaluated models, consistently yielding lower errors and providing more reliable estimates of tree water use. This suggests that this model may be more appropriate for predicting plant water use in situations where sap flow data are unavailable.

청년 아르바이트생의 차별경험과 진로미결정의 관계

Objectives In this study, we tested the mediating effect of belief in a just world in the relationship between young part-time workers' experiences of discrimination and career indecision.&#x0D; Methods An online survey was conducted targeting young people aged 15 to 34 with part-time work experience. The final 259 copies were used for statistical analysis. Descriptive statistical analysis, reliability analysis, correlation analysis, and regression analysis were performed using the SPSS 23.0 statistical program. And to verify the mediation effect, bootstrapping was performed to verify statistical significance.&#x0D; Results The average experience of discrimination was 3.06, the average career indecision was 2.32, and the average belief in a fair world was 3.77. and the average belief in a just world was 3.77. There was a positive correlation that the more discrimination experiences young part-time workers had, the higher their career indecision. There was a negative correlation between the experience of discrimination and overall belief in a just world, distributive justice belief, and procedural justice belief. It was confirmed that belief in a just world had a full mediating effect on the impact of youth discrimination experiences on career indecision. In addition, the partial mediating effect of distributive justice belief and the full mediating effect of procedural justice belief, which are subvariables of belief in a just world, were confirmed.&#x0D; Conclusions This study emphasizes the need to consider the cognitive variable of belief in a just world in the relationship between young part-time workers' experiences of discrimination and career indecision. Based on this, we laid the foundation to reduce the career indecision of young part-time workers who are experiencing discrimination and provide education and counseling opportunities to help young people enter the labor market.&#x0D;

The Effect of Student Adversity Quotient on Mathematics Test Scores Using PISA Questions

This research aimed to determine the effect of student adversity quotient (AQ) on mathematic test scores of 12th-grade students in Pademawu High School, Pamekasan for geometry material. The questions used in the mathematic tests were PISA questions. The type of research was quasi-experimental research applying a quantitative method, and the populations selected were all students of class XII MIPA, as many as 115 people. By using a purposive sampling technique, the sample members were 90 people. Data was collected using questionnaires and tests. The questionnaire used contained 30 daily events, where each event had 2 questions. The math test contained 2 geometry questions. Furthermore, data collected was analysed using descriptive statistical and simple linear regression analysis. It was obtained that the regression model Y=24,328+0,373X with Y was math test scores and X was AQ scores. From the model, the result showed that there was a significant positive interaction of AQ on the results of mathematic tests at 12th-grade students in Pademawu High School.

An Exploration of Determinants of Anemia in Pregnant Women at Buakayu Community Health Center Tana Toraja Regency

Introduction: Anemia on pregnant women is a global health problem that has serious impacts on the mother and fetus. The objective of the study was to explore the determinants of anemia on pregnant women at Buakayu Community Health Center, Tana Toraja Regency.&#x0D; Methods: The study used an observational study with a cross-sectional design. The sample was pregnant women who visited the Buakayu Community Health Center for antenatal examination using an accidental sampling technique for 11 days. The data was collected through structured interviews and laboratory examinations. Data analysis was carried out using descriptive statistical methods (univariate), bivariate, and regression analysis to determine the variables most related to independent variables and anemia in pregnant women.&#x0D; Results: The results of the study showed that diet (p=0.001), dietary restrictions (p=0.005), consumption of Fe tablets (p=0.000), and provision of additional food (p=0.000) were related to anemia incidence on pregnant women.&#x0D; Conclusion: It can be concluded that diet, dietary restrictions, consumption of Fe tablets, and provision of additional food are factors that contribute to anemia incidence on pregnant women at the Buakayu Community Health Center area. It is hoped that the implications of the study can be used as a basis for designing appropriate interventions in dealing with anemia on pregnant women at the Health Center level.

Geospatial analysis of groundwater arsenic and fluoride in Quaternary aquifers of southern Ontario, Canada

The geological setting of an area plays a critical role in the transfer and ultimate distribution of hydrochemical constituents present in groundwater. In southern Ontario, Canada, the present physiography was significantly influenced by glacial processes during the Quaternary period. The heterogeneous nature and complex pattern of shallow subsurface glacial overburden sediments, likely affect the fate of different groundwater constituents. In this study, arsenic (As) and fluoride (F−) concentrations from 515 water wells, that are constructed within overburden sediment, were analyzed with the physiographic map of southern Ontario along with other related variables. Geospatial mapping and several spatial statistical analyses were performed to examine the possible geological influence on As and F− distribution and water-well susceptibility at a regional scale. Key findings suggest four physiographic settings were significant variables influencing the distribution of As and F− in differently constructed bored/dug and drilled wells. Bored/dug wells in Bevelled Till Plains and bored/dug wells in Undrumlinized and Bevelled Till Plains were found to be relatively susceptible to As and F− contamination respectively. In contrast, bored/dug and drilled wells in Drumlinized Till Plains and Drumlins and drilled wells in Sand Plains seemed to be relatively safe from F− and As respectively. The statistical regression analyses suggested that other variables, such as the application of phosphate fertilizer and the textures of till, influenced the spatial distribution of As and F− as well as which types of wells (bored/dug or drilled) were impacted. The geospatial mapping and statistical cluster analysis indicated that the possible sources of elevated As and F− in drilled wells are the clasts of underlying bedrock. The relationship between physiographic settings and impacted overburden wells in southern Ontario provides planners with an approach to water-well susceptibility assessments at the regional scale, which in turn can guide further local analysis for water resource management.

Retesting of Neonatal Hearing Screening Before and During the COVID-19 Pandemic: A Longitudinal Study

Introduction: Universal Newborn Hearing Screening (UNHS) plays an essential role in the early identification of hearing loss in neonates. Risk factors for hearing impairment may include family history, prematurity, and exposure to ototoxic substances. Coronavirus Disease 2019 (COVID-19) might be a significant contributing factor affecting the structures of the inner ear. Objective: To assess the auditory follow-up process of retesting for UNHS before and during the COVID-19 pandemic among neonates from an Outpatient Auditory Health Service (SASA) in the state of Santa Catarina with SUS (Unified Health System) assistance. Methods: A retrospective longitudinal study analyzed data from neonates attended at a SUS Auditory Health Service (SASA) from January 2018 to December 2022. Information related to UNHS and retest outcomes was assessed. Data were analyzed using Microsoft Excel® and MedCalc® Statistical Software version 22.006, utilizing statistical measures and regression analyses to identify factors associated with UNHS failures and retesting. Results: A failure to retest rate of 2.6% in the right ear and 2.2% in the left ear was observed among evaluated neonates. The average age of mothers of neonates who did not pass the test was 33 years, while the overall average was 27 years. Failure to pass the retest and a longer interval between UNHS and retesting were associated with UNHS Initial Retest Default (IRD). There was an increase in dropout rates for UNHS retesting, and the time interval between UNHS and retesting was extended during the pandemic. Conclusion: Several factors, including the interval between tests, mothers' age, and medical conditions, influenced the retest outcomes. The pandemic led to a significant increase in dropout rates and extended time for retesting.

Factors Influencing Entrepreneurial Intention: The Mediating Role of Access to Finance and Incubation Center

This study investigates the factors influencing entrepreneurial intentions, including the mediating role of incubation centers and access to finance. A quantitative survey-based research design was used to collect data from 364 business studies students studying across the province, from a total of 6173 students, with the help of a closed-ended questionnaire based on a five-point Likert scale. The study employed a proportionate sample strategy to account for the disparity in university enrollment. Researchers used this strategy by treating each university as a distinct stratum to ensure the correctness of the sample size. The sample size was determined to be 364 by utilizing the Raosoft online sampling calculator. Descriptive and inferential statistical approaches were applied, and statistical techniques frequency, percentage, and regression analysis were utilized. In addition, the Hayes Process Macro was used to investigate the mediation. The result of the study shows that Attitude Towards Entrepreneurship has a positive influence on entrepreneurial intention, a positive influence on entrepreneurial intention and that incubation centers play a role in mediating the relationship between Attitude Towards Entrepreneurship and entrepreneurial intention. All of these factors have a positive influence on entrepreneurial intention. Furthermore, the findings suggest that finance mediates the relationship between Attitude towards Entrepreneurship and entrepreneurial intention. The study recommended, in the light of findings, that the university may strengthen incubation center engagement, provide financial literacy and access enhancement, student community engagement and social norms shift through education training workshops, and universities make proper university-industry collaboration, curriculum enhancement for perceived behavioral control, take initiative for strategic financial planning for social entrepreneurship and may adopt proper and continuous monitoring.

The Impact of Unemployment on Economic Development: Georgia's Example

This study explores the intricate relationship between unemployment and economic development, with a specific focus on the case of Georgia. High unemployment rates often signal economic challenges within a nation, and their consequences can extend far beyond the labor market. By examining Georgia's experience, this research aims to shed light on the multifaceted impact of unemployment on various facets of economic growth.&#x0D; Drawing from statistical data and regression analysis, this study investigates the causal links between unemployment levels and key economic indicators. It delves into how unemployment rates influence factors such as GDP growth, income inequality, social welfare programs, and overall societal well-being.&#x0D; Furthermore, the study delves into the policy measures implemented in Georgia to combat unemployment and foster sustainable economic development. It scrutinizes the effectiveness of these policies, identifying successes and areas requiring improvement.&#x0D; The insights gained from this analysis not only contribute to a deeper understanding of the dynamics between unemployment and economic development but also provide valuable lessons for policymakers and stakeholders in Georgia and other regions grappling with similar challenges. As nations worldwide seek to navigate the complex terrain of labor market dynamics and economic prosperity, the case of Georgia serves as an instructive example, highlighting the significance of addressing unemployment as a critical component of a nation's economic growth strategy.

Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design

Permeable reactive barrier (PRB) is an effective in-situ technology for groundwater remediation. The important factors in PRB design are the width and reactive material. In this study, the beaded coal mine drainage sludge (BCMDS) was employed as the filling material to adsorb arsenic pollutants in groundwater, aiming to design the width of PRB. The design methods involving traditional continue column experiments and empirical formulas, as well as machine learning (ML) predictions and statistical methods, which are compared with each other. Traditional methods are determined based on breakthrough curves under several conditions. ML method has advantages in predicting the width of mass transfer zone (WMTZ), which simultaneously consider the characteristics of material, pollutant, and environmental conditions, with data collected from articles. After data preprocessing and model optimizing, selected the XGBoost algorithm based on the high accuracy, which shows good prediction for WMTZ (R2 = 0.97, RMSE = 0.15). The experimentally derived WMTZ values were also used to validate the predictions, demonstrating the ML low error rate of 7.04 % and the feasibility. Subsequent statistical analysis of multiple linear regression (MLR) showed the error rate of 39.43 %, interpret superiority of ML due to the complexity of influencing factors and the insufficient precision of math regression. Compared to traditional width design methods, ML can improve design efficiency and save experimental time and manpower. Further expansion of the dataset and optimization of algorithms could enhance the accuracy of ML, overcoming existing limitations and gaining broader applications.