Correlation Analysis Research Articles

Decision tree-based approach to extrapolate life cycle inventory data of manufacturing processes

Life cycle assessment (LCA) plays a crucial role in green manufacturing to uncover the critical aspects for alleviating the environmental burdens due to manufacturing processes. However, the scarcity of life cycle inventory (LCI) data for the manufacturing processes is a considerable challenge. This paper proposes a novel approach to extrapolate LCI data of manufacturing processes. Taking advantage of LCI data in the Ecoinvent datasets, decision tree-based supervised machine learning models, namely decision tree, random forest, gradient boosting, and adaptive boosting, have been developed to extrapolate the data of GHG emissions, i.e., carbon dioxide, nitrous oxide, methane, and water vapor. Initially, a correlation analysis was conducted to derive the most influential factors on GHG quantities resulting from manufacturing activities. First, the collected data have been preprocessed and split into train and test sets (70% and 30%, respectively). Second, a five-fold cross-validation method was applied to tune the hyperparameters of the models. Then, the models were re-trained using the best hyperparameters and evaluated using the test set. The results reveal that the Gradient Boosting model has a superior predictive performance for extrapolating the GHG emission data, with average coefficients of determination (R2) on the test set <0.95. Moreover, the model predictions involve relatively low values of the average root mean squared error and an average mean percentage of error on the test set. The correlation and feature importance analyses emphasized that the workpiece material and manufacturing technology have a considerable effect on natural resource consumption, i.e., energy, material, and water inflows into the process. Meanwhile, energy consumption, water usage, and raw aluminum depletion were the most influential factors in GHG emissions. Eventually, a case study to extrapolate the inflows and the outflows for new manufacturing activities has been conducted using the validated models. The proposed GraBoost model provides a computational supplementary approach to estimate and extrapolate the GHG emissions for different manufacturing processes when LCI data are incomplete or don't exist within LCI databases.

Comprehending particulate matter dynamics in transit-oriented developments: Traffic as a generator and design as a captivator

In Transit-Oriented Development (TOD), the close integration of residential structures with community activities and traffic heightens residents' exposure to traffic-related pollutants. Despite traffic being a primary source of particulate matter (PM), the compact design of TODs, together with the impact of urban heat island (UHI), increases the likelihood of trapping emitted PM from traffic, leading to heightened exposure of TOD residents to PM. Although PM originates from two distinct sources in road traffic, exhaust and non-exhaust emissions (NEE), current legislation addressing traffic-related PM from non-exhaust emissions sources remains limited. This paper focuses on two TOD typologies in Manchester City—Manchester Piccadilly and East Didsbury—to understand the roles of TOD traffic as a PM generator and TOD place design as a PM container and trapper. The investigation aims to establish correlations between street design canyon ratios, vehicular Speed, and PM10/PM2.5, providing design guidance and effective traffic management strategies to control PM emissions within TODs. Through mapping the canyon ratio and utilising the Breezometer API for PM monitoring, the paper revealed elevated PM levels in both TOD areas, exceeding World Health Organization (WHO) recommendations, particularly for PM2.5. Correlation analysis between canyon configuration and PM2.5/PM10 highlighted the importance of considering building heights and avoiding the creation of deep canyons in TOD design to minimise the limited dispersion of PM. Leveraging UK road statistics and the PTV Group API for vehicle speed calculations, the paper studied the average speeds on the TOD roads concerning PM. Contrary to conventional assumption, the correlation analyses have revealed a noteworthy association shift between vehicular speed and PM concentrations. A positive correlation existed between speed increase and PM increases on arterial roads. However, a negative correlation emerged on main, collector, and local streets, indicating that PM levels rise for both PM10 and PM2.5 as Speed decreases. These findings challenge the traditional assumption that higher Speed leads to increased emissions, highlighting the potential impact of NEE on PM concentrations. This paper calls for thorough design considerations and traffic management strategies in TOD, especially in dense areas, considering building height, optimising traffic flow, and enhancing compromised air quality associated with vehicular emissions.

Bioinformatic Analysis to Identify and Cellular Experiments to Validate Autophagy-related Genes in Psoriasis.

To explore differentially expressed genes (DEGs) associated with autophagy in psoriasis using bioinformatics analysis and verify them in an M5-induced psoriatic cell model. We obtained gene expression microarray data from patients with psoriasis and normal skin tissues from the dataset GSE78097 of the NCBI Gene Expression Omnibus (GEO) database. R software was used to identify DEGs associated with autophagy in psoriasis. Proteinprotein interaction (PPI) and correlation analyses were used to show interactions between certain genes. Their potential biological roles were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, all the DEGs associated with autophagy in psoriasis were validated in a psoriatic cell model by RT-qPCR. 28 DEGs associated with autophagy were identified. These genes were linked to one another, and the most connected hub gene was VEGFA, according to PPI analysis. GO and KEGG enrichment analyses revealed various biological pathways associated with autophagy. The RT-qPCR findings of the expression of 18 genes in the psoriatic cell model confirmed the bioinformatics analysis results. The five genes with the most significant differences were IL24, CCL2, NAMPT, PPP1R15A, and SPHK1. We identified DEGs associated with autophagy in patients with psoriasis. IL24, CCL2, NAMPT, PPP1R15A, and SPHK1 were identified as important genes that may influence psoriasis development through the regulation of autophagy.

The relationship between leisure activities and mental health disorders among higher education students in Malaysia

This study investigates the association between leisure activities (recreation, sports, social contact, artistic, cultural, religious, and rest) and mental health disorders among Malaysian university students. There were 332 respondents enrolled in the public and private universities, polytechnics and other higher academic institutions in Malaysia were surveyed using a quantitative questionnaire. The study performed multiple regression and correlation analyses on the data using the statistical package for social science (SPSS). The findings indicated that six out of seven categories of leisure activities were significantly linked to mental health issues. The six types of leisure time activities were recreation, sports, social interaction, cultural, religious, and rest. Cultural activities have the highest impact on mental health, with the highest beta value. The universities and polytechnics should consider launching several types of leisure activities and tailor specific activities that may reduce mental health issues.

Patient trust, quality communication, and medication adherence in rheumatoid arthritis patients highly affected by social determinants of health.

Because medication adherence is essential to the management of rheumatoid arthritis (RA), identifying (1) subgroups at high risk for low medication adherence and (2) modifiable factors potentially contributing to low adherence can impact patient outcomes. This study aims to describe the relationships between anxiety, trust in the provider, quality patient-provider communication, fatigue, RA knowledge, adverse medication effects, disease activity, RA medications, disease duration, patient satisfaction, and medication intolerance and cluster factors to differentiate RA-patient subgroups. This observational study used correlation analysis, linear regression, and cluster analysis with determination decisions based on Schwarz's Bayesian Criterion. Medication adherence was higher in non-Hispanic, White participants, inversely correlated with disease activity and pain intensity, and positively correlated with trust in the provider. Patient satisfaction was higher among those with a shorter time since diagnosis, and was negatively associated with disease activity, pain intensity and interference, fatigue, and anxiety. It was positively associated with RA knowledge, trust in provider and quality of patient-provider communication. Medication intolerance differed by disease duration and was positively correlated with disease activity, pain interference, and fatigue. Of the two clusters, Cluster 1 participants had greater medication adherence and patient satisfaction, and lower medication intolerance. They were of higher income, employed, and non-Hispanic, White persons with a shorter disease duration and lower perceived pain intensity/interference, fatigue, and anxiety. They were more knowledgeable about RA with higher trust in their provider and perceived quality of patient-provider communication. A low medication adherence RA-patient subgroup-highly affected by social determinants of health and with unique relational and clinical characteristics was identified.

Influential Signs of Dry Eye-Related Ocular Symptoms in Participants With Unstable Tear Film.

The aim of this study was to investigate the factors influencing dry eye disease (DED)-related ocular symptoms in participants with short fluorescein tear break-up time (FTBUT). This cross-sectional study included 82 participants with short FTBUT (<10 seconds). Examinations included Ocular Surface Disease Index (OSDI), FTBUT, average noninvasive tear break-up time (NIBUTave), lid wiper epitheliopathy, lipid layer thickness, blink rate, partial blink, tear meniscus height, and meibomian gland (MG) evaluation which included ratio of residual MG area (RMGA) and MG grade in tarsal plates. One-way analysis of variance was used to detect differences between symptomatic tear film instability group (FTBUT <5 s, OSDI ≥13), asymptomatic tear film instability group (FTBUT <5 s, OSDI <13), and control group (FTBUT ≥5 s, OSDI <13). A bivariate correlation, partial correlation, and multiple linear regression analyses were used to identify major factors. Only the right eye was included. Among the participants with FTBUT <5 seconds, symptomatic group showed less upper RMGA ( P < 0.001) and NIBUTave ( P = 0.010). OSDI was negatively associated with upper RMGA ( r = -0.450, P < 0.001) and NIBUTave ( r = -0.414, P = 0.001), and positively associated with upper MG grade ( r = 0.277, P = 0.027). Linear regression analysis showed that the upper RMGA significantly affected OSDI (B = -41.895, P = 0.001), while not significantly correlated with age, upper MG grade, and NIBUTave. The upper RMGA might be the main factor affecting DED-related discomfort in participants with unstable tear film, indicating an early ocular change in DED.

Factors Influencing Readiness for Hospital Discharge among Patients Undergoing Enterostomy: A Descriptive, Cross-sectional Study.

To examine the factors influencing hospital discharge readiness among Chinese patients who have undergone enterostomy. In this descriptive, cross-sectional study, researchers recruited patients with colorectal cancer who underwent enterostomy at a tertiary hospital in Guangdong Province, China, via convenience sampling between January 2021 and January 2023. Participants completed the Readiness for Hospital Discharge Scale, Ostomy Self-care Ability Scale, and Stoma-Quality of Life-Chinese Questionnaire (Chinese version) at the time of hospital discharge. Univariate, correlation, and multiple linear regression analyses were performed to explore the impact of self-care ability, quality of life, and other clinicodemographic characteristics on patients' readiness for hospital discharge. Of the 200 questionnaires distributed, 177 (88.5%) were completed and included in the final analysis. The median scores for the factors considered in this study were as follows: Readiness for Hospital Discharge Scale was 148.00 (interquartile range [IQR], 117.50, 164.00), self-care intention of the Ostomy Self-care Ability Scale was 36.00 (IQR, 34.00, 40.00), self-care knowledge of the Ostomy Self-care Ability Scale was 17.00 (IQR, 15.00, 19.00), self-care skill of the Ostomy Self-care Ability Scale was 5.00 (IQR, 3.00, 6.00), and the total score for quality of life was 60.00 (IQR, 49.00, 69.00). Multiple linear regression analysis identified several key factors explaining 48.2% of the variance in global readiness for hospital discharge: global quality of life (β = .347, P < .001), self-care knowledge (β = .259, P < .001), leakage during hospitalization (β = -0.241, P < .001), monthly family income (β = .148, P = .008), stoma siting before surgery (β = .130, P = .020), and self-care intention (β = .127, P = .035). The readiness for hospital discharge among patients undergoing enterostomy in this study was high. Factors such as quality of life, self-care knowledge, leakage during hospitalization, monthly family income, stoma siting before surgery, and self-care intention after undergoing enterostomy influenced the patients' readiness for hospital discharge. Therefore, future studies should focus on developing interventions to enhance patients' readiness for hospital discharge.

Prevalence and influencing factors of social alienation among elderly patients undergoing radical prostatectomy for prostate cancer

Abstract Objectives This study aims to not only investigate the prevalence of social alienation among elderly patients undergoing radical prostatectomy for prostate cancer but also identify the contributing factors. Materials and methods A total of 245 elderly patients diagnosed with prostate cancer and undergoing radical prostatectomy at a tertiary care general hospital in Jinan were included in this study. To assess the patients, several questionnaires were used. These included the General Situation Questionnaire, General Alienation Scale, Social Impact Scale, Modified Memorial Anxiety Scale for Prostate Cancer, and Perceived Social Support Scale. Pearson correlation analysis was conducted to examine the relationships between variables, whereas multiple linear regression was used to identify the factors influencing social alienation among patients who underwent radical prostatectomy. Results Patients who underwent radical prostatectomy had a mean total score of 44.13 ± 7.24 on the Social Alienation Scale. The results of the Pearson correlation analysis indicated that social alienation showed an inverse association with social support (r = −0.627, p &lt; 0.05) and positive associations with age, disease stigma, and anxiety (r = 0.325, 0.575, 0.421, all p’s &lt; 0.01) among patients who underwent radical prostatectomy. The findings from multiple linear regression analysis demonstrated that educational level, age, urinary incontinence, disease stigma, anxiety, and social support significantly influenced social alienation among elderly patients who underwent radical prostatectomy (p &lt; 0.05). Conclusions Elderly patients who undergo radical prostatectomy often experience social alienation. This study found that social alienation was associated with factors such as educational level, age, urinary incontinence, social support, anxiety, and disease stigma. Consequently, healthcare providers should actively monitor the degree of social alienation in elderly patients after radical prostatectomy and provide suitable psychological care to facilitate positive social reintegration and alleviate their feelings of social alienation.

The effect of rosemary, ginger, or garlic on microbial shelf life and sensory acceptability of nutritionally enriched cassava-based pancake (Kabalagala)

Iron and vitamin A contents of Cassava-based pancake (Kabalagala), a delicacy among children in northern Uganda have recently been improved through the addition of biofortified iron-rich beans and orange-fleshed sweet potato. The nutritionally improved product (NIK) was designed as a strategy to address iron and vitamin A deficiencies which are endemic challenges among children in Uganda. However, the NIK had a lower microbial shelf life (24 hours) than the original product (72 hours). The objective of this study was to investigate the potential of the spices; rosemary, ginger, and garlic to improve the microbial shelf life of the NIK. Each of the spices was used individually to prepare NIK at a rate of 0.5, 0.75, and 1%. The resultant products were evaluated for counts of total microbial load, Enterobacteriaceae, lactic acid bacteria, yeasts and molds as well as consumer sensory acceptability during storage at ambient temperature. Results of One-way Analysis of Variance (ANOVA) showed that all the spices exhibited potency against the microbial groups investigated only when included in the NIK at 0.75% or 1% (p<0.05). The microbial shelf life of the NIK based on total microbial count increased from 24 to 72 hours depending on the spice type and concentration. The spice, 1% ginger resulted in Enterobacteriaceae and yeast and molds counts within acceptable microbial threshold for the entire storage time (72 hours) with a maximum load of 3.41 and 2.82 log10 CFU/g, respectively. The NIK containing ginger or garlic at 0.75 or 1%, was more accepted and the extent of acceptability increased with storage time (p<0.05). Based on the overall acceptability, the consumer acceptability varied from 1% garlic > 0.75% garlic > 1% ginger > 0.75% ginger > 0.5% ginger in decreasing order. Spearman's correlation analysis revealed a strong association between the sensory parameters examined (appearance, aroma, texture, taste) and the overall acceptability of the products (p<0.05). The magnitude of association between appearance, aroma, texture, taste and overall acceptability varied between 0.396-0.703, 0.504-0.679, 0.452-0.589, and 0.498-0.698, respectively. This study has demonstrated that ginger or garlic when applied at 0.75-1% improves microbial shelf life of NIK concomitant with better consumer sensory acceptability. Therefore, ginger or garlic can be applied at 0.75-1% to produce microbiologically and sensorially acceptable NIK for use to improve intake of vitamin A and iron among children in Uganda.

Soil moisture estimation using ground scatterometer and Sentinel-1 data

Soil moisture (SM) is a crucial criterion for agronomics and the management of water resources, particularly in areas where the socio-economic status and significant source of income depend upon agriculture and related sectors. This paper intends to estimate SM over the vegetative area using a generalized regression neural network (GRNN) and ground scatterometer and compare the results with SM retrieved using Sentinel-1 data. At the same time, random forest regression (RFR) and support vector regression (SVR) models are used for SM estimation. Correlation analysis results concluded that L-band HV-polarization at 300 incidence angle showed the highest correlation with the measured field parameters. This study investigated backscattering coefficients, VV/VH polarization ratio and polarization phase difference over wheat’s entire growth phase to estimate SM. The results indicate that the GRNN with backscattering coefficients and polarization ratio provided the highest accuracy compared to the random forest (RF) and SVR with the root mean square error of 0.093 over the Yavatmal District, Maharashtra, India.

Integrated multiple-omics reveals the regulatory mechanism underlying the effects of homologous Bacillus tequilensis (GCB-3) on growth performance of grass carp (Ctenopharyngodon idellus)

The purpose of this study was to investigate the regulatory mechanism of Bacillus tequilensis (GCB-3) in improving the growth performance of grass carp by microbiome and targeted metabolomics analysis. Fish were fed with different amounts of GCB-3 including B0 (0 CFU/g), B6 (1×106 CFU/g), B7 (1×107 CFU/g), B8 (1×108 CFU/g), and B9 (1×109 CFU/g) for 8 weeks. The results indicate that with the increase of dietary GCB-3 concentration, grass carp showed a significant linear trend in growth performance, and appetite factors showed a significant linear and quadratic trend, the growth performance and appetite-promoting factors in the B8 group reach their maximum value in the B8 group. Microbiome analysis found that Proteobacteria and Actinobacteria were the most abundant phylum in the gut microbiota of grass carp. The functional potential predicted that GCB-3 affected the synthesis and degradation of carbohydrates, amino acids, fatty acids and lipids. It found that GCB-3 also affected the tricarboxylic acid (TCA) cycle VII (acetate-producers) pathway. The results of targeted metabolomics showed a significant linear and quadratic increase in intestinal acetate with GCB-3 concentration and a maximum in the B8 group. The results of the correlation analysis showed a significant positive correlation between Actinobacteria abundance and acetic acid content, and also between TCA cycle VII (acetate-producers) pathway abundance and Actinobacteria abundance and acetic acid content. In B8 group, grass carp showed a faster regulation speed of blood glucose levels after glucose injection, and the GLP-1 content remained stable. The activities of glycolytic enzymes, lipolytic enzymes, protein metabolism enzymes, and their related mRNA expression levels in grass carp showed a linear or quadratic increasing trend. However, the expression levels of gluconeogenic enzymes and fatty acid synthesis enzyme related mRNA showed an opposite trend. In summary, the addition of 1×108 CFU/g GCB-3 in grass carp feed can improve the abundance of dominant bacterial phyla in the intestine, especially Actinobacteria, increase the concentration of intestinal acetate, provide substrate for the TCA cycle VII (acetate-producers) pathway, thereby regulating the nutrient metabolism of grass carp and ultimately promoting growth.

The Influence of Opinion Leaders on Consumer Buying Behavior Among Millennials in Klang Valley

Opinion leaders have emerged as individuals with social influence who serve as the core of an interpersonal communication network. The social trends have made opinion leaders significantly influence buying behavior, especially among millennials. A deeper understanding of the characteristics of opinion leadership is still needed and based on the two-step flow theory, we developed a research framework to study opinion leaders’ influence (trust, credibility, and originality) on consumer buying behavior. A simple random sampling method was used, and the sample comprised 398 millennials in Klang Valley, Malaysia. Data were collected via a self-administered questionnaire. Regarding the relationships involving the opinion leaders’ elements, Pearson correlation analysis found that the trust (r=0.545; p=0.00), credibility (r=0.518; p=0.00), and originality (r=0.398; p=0.00) of opinion leaders are significantly related to consumer buying behavior. Multiple regression analysis was then applied to examine the most influential opinion leader factors on millennials’ buying behavior. The result showed that this model contributed a total of 30.7% and that trust (β = 0.368, p = 0.000) is the most influencing factor on millennials buying behavior. Marketers will have an updated perspective on the influence of opinion leaders on consumer buying behavior knowing the profiles of opinion leaders is extremely beneficial for consumers to make wise purchase decisions.

Ginseng polysaccharide components attenuate obesity and liver lipid accumulation by regulating fecal microbiota and hepatic lysine degradation

The increasing incidence of obesity has led to widespread attention in the exploration of natural ingredients. Ginseng polysaccharides (PGP), the main components from Panax ginseng, have been reported potential effect to attenuate obesity and regulate lipid metabolism. In this study, we found that PGP inhibited the high-fat diet (HFD)-induced weight gain, fat ratio and fat tissue weight after 8-week administration. Serum and liver lipid analysis showed that PGP decreased the levels of triglyceride and total cholesterol, which was mediated by the inhibition of key genes for fatty acid and cholesterol metabolisms. Metabolomics studies showed that the inhibitory effect of PGP on liver lipid accumulation was significantly correlated with its regulation of citric acid cycle and lysine degradation. PGP regulated the expression of genes related to lysine degradation in both liver tissue and hepatocytes. In addition, PGP reshaped the composition of fecal microbiota at the genus and species levels in obese mice. Spearman's correlation analysis demonstrated that Staphylococcus sciuri, Staphylococcus lentus, and Pseudoflavonifractor sp. An85 may be the potential targets that PGP maintains the abundance of l-lysine against obesity. It concluded that PGP can attenuate obesity and liver lipid accumulation by regulating fecal microbiota and hepatic lysine degradation.

Chronic lead poisoning–induced budgerigar liver damage, gut microbiota dysbiosis, and metabolic disorder

Birds are sensitive to heavy metal pollution, and lead (Pb) contamination can negatively affect their liver and gut. Therefore, we used budgerigars to examine liver and gut toxicosis caused by Pb exposure in bird, and the possible toxic mechanisms. The findings showed Pb exposure increased liver weight and decreased body weight. Moreover, histopathological and immunofluorescence assay results demonstrated obvious liver damage and cell apoptosis increased in Pb- treated budgerigars. Quantitative polymerase chain reaction (qPCR) results also showed Pb caused an increase in apoptosis by inhibiting the PPAR-γ/PI3K/Akt pathway. The gut microbe analyses indicated Firmicutes, Proteobacteria, and Bacteroidetes were dominant microbial phyla, and Network analysis results shown Arthrobacter, Bradyrhizobium and Alloprevotella as the hubs of Modules I, II, and III, respectively. Phenylpropanoids and polyketides, Organoheterocyclic compounds, Organic oxygen compounds, and Organic nitrogen compounds were dominant metabolite superclasses. Tauroursodeoxycholic acid, taurochenodeoxycholic acid (sodium salt), and 2-[2-(5-bromo-2-pyridyl)diaz-1-enyl]-5-(diethylamino)phenol were significantly enriched in the Pb-treated group. It showed that 41 Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologues and 183 pathways differed between the Pb-treated and control budgerigars using microbial and metabolomic data. Moreover, orthogonal partial least-squares discrimination analysis (OPLS-DA) based on microbial and metabolite indicated distinct clusters in the Pb-treated and control groups. Additionally, the correlation analysis results indicated that a positive correlation for the Pb-treated and control groups between gut microbiota and metabolomic data, respectively. Furthermore, the microenvironment of the gut and liver were found to affect each other, and this study demonstrated heavy metal especially Pb may pose serious health risks to birds through the “gut–liver axis” too.

High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model

The state of health (SOH) of lithium-ion batteries plays a crucial role in maintaining the stability of electric vehicle systems. To address the issue of low accuracy in existing prediction models, this article introduces an enhanced grey wolf algorithm for optimizing the hybrid kernel least squares support vector regression machine used in lithium-ion battery SOH prediction. This research extracted four key health features from the raw data of each battery in the Cycle dataset, which is publicly accessible. Data preprocessing of health features involved Pearson correlation analysis and Hampel filtering techniques. The framework of least squares support vector regression constructs a hybrid kernel function of polynomial kernel function and radial basis function. The integration of differential evolution and the law of survival of the fittest into the grey wolf algorithm enhances its optimization ability. The improved grey wolf algorithm optimizes the parameters of the hybrid kernel least squares support vector regression machine, improving the accuracy and robustness of the model. After data validation, it is known that the optimal average absolute error value predicted by the model can reach 0.32 %. This indicates that the proposed method is effective and feasible.

Sensation Seeking and Impulsivity Among Young Adults: Predictors of Risky Behavior

Abstract: This study examines the relationship between sensation seeking, impulsivity, and engagement in risky behaviors among young adults. 220 individuals, aged 18 to 25, filled out self-report questionnaires measuring their , sensation seeking (Brief Sensation Seeking Scale), impulsivity (Barratt Impulsiveness Scale), and risky behavior engagement (Risk Taking Questionnaire). Correlation analysis and Regression were used to examine the predictive power of impulsivity and sensation seeking for engaging in risky behavior. Mann Whitney U Test was conducted to check the gender differences in sensation seeking and impulsivity. The results show strong positive associations between sensation seeking, impulsivity, and engaging in risky behaviors. Among young adults, sensation seeking and impulsivity are important predictors of engaging in risky behavior. indicating that a higher levels of sensation seeking and impulsivity is associated with a greater chance of young people engaging in risky behaviors. In contrast to females, males were more inclined to seek out sensations. Impulsivity, however, didn't show any apparent gender differences among Young Adults. These findings highlight the importance of understanding how personality factors influence behavior and provide guidance for focused interventions meant to lower risky behaviors in this population.

Relationship between Assertiveness and Self-Esteem among Young Indian Adults

Abstract: This quantitative study explores the relationship between assertiveness and self-esteem among young Indian adults aged 20 to 30 years. The research design employs a correlation approach to examine the statistical association between assertiveness and self-esteem without manipulating variables. The study aims to answer key questions regarding gender differences in assertiveness and self-esteem, the relationship between assertiveness and self-esteem, and the impact of self-esteem on assertiveness. Data from 131 participants (61 males, 70 females) from Assam and Karnataka were collected using Google Forms and social media advertising. The Rathus Assertiveness Schedule (RAS) and Rosenberg Self-Esteem Scale (RSES) were used to measure assertiveness and self-esteem, respectively. Statistical analyses included independent sample t-tests, correlation analysis, and regression analysis. The results indicate no significant difference in assertiveness and self-esteem between males and females. However, a significant negative correlation was found between assertiveness and self-esteem, suggesting that as assertiveness increases, self-esteem tends to decrease, and vice versa. Regression analysis further confirms that self-esteem significantly impacts assertiveness among young adults, with approximately 8.9% of the variability in assertiveness scores explained by differences in self-esteem. These findings provide valuable insights into the dynamics of assertiveness and selfesteem among young Indian adults, highlighting the complex interplay between these psychological constructs and their implications for individual well-being and behavior.

Fundamental LCZ Mapping with ArcGIS-Based Spatial and Correlational Analyses to Study the Impacts of Infrastructural Area- Maximum Volume (A-MV) Attributes on OTC – An Urban Aw Summer Case

The aim of this study is to map the study location stretches into 100mx100m local climate zones (LCZs) on the basis of primary observations and secondary photographic data for spatial analysis of various urban infrastructural elements (grey(G)-built structures, blue(B)-water bodies and green (Gr)-natural vegetation) and impact assessment of their estimated area (EA) and maximum volume (EMV)) on the air temperature (Ta) that characterizes the outdoor thermal comfort (OTC). Climate Modification by Urban Infrastructure, Fundamental Concepts of Urban Infrastructure Mensuration Parameters, Fundamental Concepts of Urban Grey Blue Green Infrastructure (UGBGI) and Concepts Of OTC, Koppen Classification and LCZs are the linked areas. Study locations are based on socio-economic and geophysical attributes. Initial 200 pilot survey responses regarding thermal sensation votes and other subjective details were used. Preferred values of Physiological Equivalent Temperature (PET) and optimum Ta have been used. After the mapping in ArcGIS and polygonal delineation of the areas, EA values were compiled in tabular format. Based on primary measurements and secondary studies, a maximum height (hmax) value was assigned to each sub-category for EMV evaluation. Statistically, the EA and estimated perimeter (EP) values were analyzed using QQ, scatter plots, histogram and generate near table tools in ArcGIS. EA and EMV values were correlated with mean Ta values by linear regression. The R-square values generated gave a clear idea about the extent of their impacts on Ta. From the established relationships and preferred PET and optimum Ta values, optimum EA, EMV and hmax values of the broader categories(G,B,Gr) required for preferred OTC levels were finally evaluated.

Learner perception on tactile materials as a correlate of performance in mathematics: The case of Thika high school for the Blind, Kiambu County, Kenya

Mathematics is considered the foundation of scientific and technological growth, making one of the most important subjects taught in formal schools. Yet learners with visual impairment continue to perform poorly in Mathematics due multiple factors, among them unfavorable perceptions on the subject. Drawing from the social constructivism theory, this study aimed to establish learner perception on tactile materials as a correlate of performance in Mathematics among learners in Thika High School for the Blind. The objectives were to investigate general performance of mathematic among the learners who are blind and assess learners’ perception on the mathematic tactile learning materials in relation to their performance in Mathematics. This study used a case study research design. The target population comprised 80 learners who are blind in the school. Stratified random sampling was used to select the learners 24 who are blind according to class and gender. Questionnaires were used to collect data. Quantitative data was collected, coded and organized. Data analysis was through descriptive summaries and correlational analyses. There was a weak positive relationship between learners’ perception in learning Mathematics and performance in Mathematics (r = 0.203, p = 0.342). The majority the students indicated doing their homework daily when given by the teacher, getting homework marked daily, and doing homework alone daily. Therefore, this study recommends the need for the Ministry of Education to initiate strategies to enhance positive perceptions toward Mathematics among learners who are blind.

A correlational study between Eye Hand coordination and Balance among Geriatric Badminton players

Playing badminton demands a high level of footwork, balance, grip, coordination, strokes, and serves accuracy. The study aims in measuring eye hand coordination and balance among geriatric badminton players. 43 geriatric badminton players, for Eye-hand coordination was assessed using the ruler drop test, while balance was evaluated using the Dynamic Gait Index (DGI). The aim of this study was to investigate the correlation between eye-hand coordination and balance among geriatric badminton players. A correlational study was conducted with 43, geriatric badminton players [71.35±4.99], and Participants completed the ruler drop test and the DGI to assess eye-hand coordination and balance, respectively. Pearson correlation coefficient analysis was performed to determine the relationship between eye-hand coordination and balance. Results: Contrary to expectations, the correlational analysis revealed no significant correlation between eye-hand coordination and balance among geriatric badminton players (r = [0.12], p &gt; [0.416]). Thus, the findings suggest that there is no discernible relationship between these two factors in this population.