Regression Coefficients Research Articles

PENGARUH RETURN ON ASSET (ROA) CURRENT RATIO (CR) DAN EARNING PER SHARE (EPS) TERHADAP HARGA SAHAM PADA PT MAYORA INDAH TBK PERIODE 2013-2022

ABSTRACT This study aims to determine the effect of Return On Asset (ROA) Current Ratio (CR) and Earning Per Share (EPS) on the share price of PT Mayora Indah Tbk for the period 2013-2022. This research uses Descriptive Quantitative methods with hypothesis testing. This research used descriptive statistical tests, classical assumption tests, multiple linear regression tests, hypothesis tests (t tests and f tests), and coefficient of determination tests with the help of the SPSS (Statistical Product Service Solution) program version 26. Based on the hypothesis test perisal Effect of Return On Asset (X1) show sthat t count < t table where 1.016 < 2.364 and a significant value of 0.349 > 0.05, so that Return On Asset has no effect and is not significant to the stock price.T heresults of hypothesis testing in terms of the effect of Current Ratio (X2) show that tcount < t table where 1,260 < 2,364 and a significant value of 0.255> 0.05, so that Current Ratio has no effect and is not significant to stock prices.The results of hypothesis testing in terms of the effect of Earning Per Share (X3) show that t count > T table where-2.752 > 2.364 and a significant value of 0.03 < 0.05 so that Earning Per Share has a negative and significant effecton Stock Price.The test results simultan eously show that f count > f table where 5.343 > 4,35 with asignificant 0.039 < 0.05. so it can be concluded that Return On Asset, Current Ratio, and Earning Per Share havea significant effect on Price. Keywords: ROA, CR, EPS and stock Price.

Assessing the Role of Soil Amendments on the Sorption-Desorption Behavior of Glufosinate-Ammonium Herbicide in Soils: Kinetic, Isothermal and Thermodynamic Investigations

ABSTRACT This study compared the sorption-desorption behavior of glufosinate-ammonium herbicide in three soils (S1, S2, S3) and these soils amended with farmyard manure (S1 M, S2 M, S3 M) and bentonite clay (S1C, S2C, S3C) at 288 K, 298K and 308 K. Sorption-desorption kinetics was studied by pseudo first, pseudo second, elovich and intraparticle diffusion models and isotherms by Freundlich, Langmuir, Temkin, SIPS and Dubinin-Radushkevich (D-R) equations. The kinetic data were best explained by Pseudo-second order and isothermal data with Freundlich model with higher correlation regression coefficients, R2 values. The results indicated that the addition of farmyard manure and clay enhanced the adsorption capacity of soils, with higher adsorption by farmyard manure as confirmed from higher Kd (9.1–16. 2 in Soil III > 7.4–12.1 in Soil II > 4.8–10.3 in Soil I) and Kf values (Soil III (9.48–13.12) > Soil II (8.17–11.50) > Soil I (5.42–10.36) in following order Soil III > Soil II > I. With increase in temperature adsorption decreased, due to weak interactions as indicated by decrease in Kd and Kf values. Desorption results indicated more retention of glufosinate-ammonium at low temperature. The sorption desorption coefficients values (Kfads< Kfdes) and strengths of adsorption/desorption (1/nads <1/ndes) indicated positive hysteresis. The negative ΔGo in the range −3.99 to −5.58 KJ/mol in Soil I, −4.99 to −5.98 in Soil II and −5.66 to − 6.66 in Soil III and ΔH° values in the range −6.96 to −10.26 indicated spontaneous and exothermic nature of sorption process. The risks of water bodies contamination in terms of groundwater ubiquity score, in the range 0.79–1.20, classify it as a non-leacher pesticide; therefore, do not cause potential harm to ground-water. The results indicated that the sorption-desorption was significantly affected by organic carbon, clay and temperature, therefore their addition can be utilized as suitable alternative to reduce environmental contamination by pesticides.

A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population

The development of transgressive segregant (TS) selection on convergent breeding populations of S4 maize is a concept that is rarely applied. However, the development of TS is necessary to accelerate maize breeding pipelines. Therefore, the objectives of this study were (1) to develop the concept of TS selection and (2) to select S4 TS maize to be developed as hybrid cross parents. The study was carried out using two experiments. The first experiment was designed with an augmented design of 6 replications for control genotypes. This design is just one factor focused on maize genotypes. However, it was divided into two sets: non-replicated of 32 TS lines and replicated of four check hybrid varieties. The second experiment focused on validation using a three-way cross. The experiment used a randomized complete block design with three replications. Based on the resulting study, the combination of ratio analysis, path analysis, best linear unbiased prediction, relative fitness, and selection indices is an objective approach to assessing the genetic potential of the S4 TS. The selection index formed was 0.53 ear weight + 0.24-grain yield percentage + yield. The index selection resulted in 11 S4 TS lines being further evaluated for their hybrid potential, with the TS line CB2.23.1 being the best. However, these TSs are expected to focus on identifying and combining ability through diallel crosses in the future. Furthermore, the three-way cross hybrid lines assessment also revealed SG 3.35.12 × JH37 F1 and CB 2.23.1 × JH37 F1 to be promising hybrid lines.

The association between personality traits and transphobia among university students: a cross-sectional study in northwestern Iran

BackgroundIndividuals with GD may suffer from limited access to healthcare services because of negative attitudes from the healthcare providers. Therefore, to promote medical service it is of great importance to address negative attitudes among healthcare providers. The present study aimed to estimate the prevalence of transphobia as well as to assess the association between personality traits and transphobia among students of the University of Medical Sciences, who will hold key positions within the healthcare system.MethodsThis cross-sectional study was conducted on 418 students at Tabriz in northwestern Iran in 2024. Convenience sampling method was utilized. Data were gathered through standard self-reported questioners; Genderism and Transphobia Scale (GTS), and Big Five Inventory scale (BFI-44). Linear regression analysis was conducted to estimate standard coefficient with 95% Confidence Intervals (CIs).ResultsThe response rate was calculated as 98.35% in which 204 (48.8%) out of the participants were female. The mean (SD) age was 23.73 (2.01) years. The adjusted multiple linear regression coefficients indicated that the agreeableness (β = 0.16, p = 0.001), neuroticism (β = 0.11, p = 0.02), and openness (β = -0.27, p = 0.001) were able to effectively explain the variance in transphobia scores. However, conscientiousness (β = 0.06, p = 0.18) and extroversion (β = 0.06, p = 0.05) did not significantly contribute to explaining the variance in transphobia scores.ConclusionsPersonality traits may significantly influence attitudes toward transgender individuals, suggesting that interventions designed to reduce transphobia should consider these foundational personality characteristics.Clinical trial numberNot applicable.

Hyponatremia is associated with malignant brain edema after mechanical thrombectomy in acute ischemic stroke

BackgroundHyponatremia (< 135 mmol/L) is the most common electrolyte disturbance in patients with stroke. However, few studies have reported the relationship between hyponatremia at admission and outcomes in patients with acute ischemic stroke (AIS) treated with mechanical thrombectomy (MT). This study is aimed to explore the association between hyponatremia and clinical outcomes following MT.MethodsA retrospective study was conducted at our center. The primary outcome was postoperative malignant brain edema (MBE). The secondary outcomes included mortality and adverse function at the 90-day follow-up, which were defined as modified Rankin scale scores of 6 and > 2, respectively. Patients were classified into hyponatremia and nonhyponatremia groups based on their serum sodium concentration at admission before drug use. The occurrence of MBE was evaluated via computed tomography after MT, and 90-day outcomes were obtained through in-person interviews at the clinic or via telephone. Multivariate analysis was performed to investigate the associations among postoperative MBE, 90-day mortality, adverse function and hyponatremia.ResultsA total of 342 patients were enrolled into the study, of whom 52 (15.2%) had hyponatremia, 86 (25.1%) developed postoperative MBE, 93 (27.2%) died within 90 days after MT, and 201 (58.8%) had adverse functions at the 90-day follow-up. Multivariate analysis revealed that hyponatremia was significantly associated with postoperative MBE (odds ratio [OR] 3.91, 95% confidence interval [CI] 1.66 − 9.23, p = 0.002), 90-day mortality (OR 5.49, 95% CI 2.48 − 12.14, p < 0.001), and 90-day adverse function (OR 3.25, 95% CI 1.29 − 8.12, p = 0.012). In addition, mediation analysis revealed that postoperative MBE may partially account for the 90-day mortality/adverse function of patients with hyponatremia (regression coefficients changed by 18.6% and 23.9%, respectively).ConclusionHyponatremia is an independent predictor of postoperative MBE, 90-day mortality, and adverse function. Correction of hyponatremia may reduce the postoperative MBE to improve the prognosis of patients.

Population aging, technological innovation and industrial differentiation

As China’s aging population deepens and its pace accelerates, it is particularly crucial to rely on technological innovation to drive industrial differentiation. Is there a connection between population aging, technological innovation, and industrial differentiation? Does technological innovation have a moderating effect? Based on the panel data of 31 provinces in China from 2006 to 2022, this paper constructs the entropy index to measure the overall industrial differentiation and tertiary industrial differentiation in China, and subsequently investigates the relationship among the three using the two-way fixed effect model. The results indicate that population aging has a significant positive impact on the overall industrial differentiation in China, with a regression coefficient of 1.1025. Technological innovation plays a positive moderating role, with an interaction coefficient of 0.3489. The effects of population aging on the differentiation of the three industries differ: the regression coefficient for the primary industry is −0.6437, which is significantly negative; for the secondary industry, the regression coefficient is 0.9252, which is statistically insignificant; and for the tertiary industry, the regression coefficient is 0.1539, which is significantly positive. The government should encourage enterprises to invest in technology research and development through tax cuts and subsidies, and enterprises should absorb high-quality talents, carry out intelligent transformation of traditional industries of enterprises, and improve their competitiveness.

Comparative analysis of phytonutrients of Moringa oleifera leaves from South Africa and Nigeria, and their antimicrobial and antioxidant potentials by UPLC-ESI-QToF-MS and OPLS-DA chemometric analysis

BackgroundMoringa oleifera Lam. has bioactive phytonutrients in abundance and offers diverse health benefits. The leaves of this plant have established significance in traditional medicine and nutrition. It is traditionally used by Nigerian and South African mothers to mitigate undernutrition. Usually, the powder leaves are added to porridge to feed the children. This study aimed to conduct a comparative analysis of the phytonutrients (nutrients protectors) or supplements, antioxidant, and antimicrobial potentials of M. oleifera leaves from Nigeria and South Africa to benchmark quality control protocols for commercial beverages such as Moringa porridge.MethodsStandard techniques, including high-performance liquid chromatography-photodiode array and ultra-high-performance liquid chromatography electrospray ionization quadruple time-of-flight mass spectrometry (UPLC-ESI-QToF-MS) and chemometrics orthogonal partial least square discriminant analysis (OPLS-DA) were employed for phytoconstituents fingerprinting. Whereas the antioxidant potentials of the extracts were determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and hydrogen peroxide scavenging assays, the antimicrobial potentials of the extracts were evaluated using minimum inhibitory concentrations protocol.ResultsThe chemometric analysis with a line regression (R2) = 0.97 revealed 70% significant similarities in the phytonutrients of samples between the two regions and an intriguing 30% variation within the same plant species. In addition, kaempferol, quercetin, luteolin, tangutorid E, and podophyllotoxin, among others were annotated as the major phytonutrients in the samples. The antioxidant assays unveiled concentration-dependent trends with scavenging activity of up to 98% (half-maximal inhibitory concentration [IC50] = 0.14 mg/mL) for 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 87% (IC50 = 0.28 mg/mL) for hydrogen peroxide assay. All the test extracts did not exhibit good to significant antibacterial inhibitory effect (minimum inhibitory concentration [MIC] = 1.25 mg/mL) compared to ciprofloxacin (MIC = 0.0156–0.0039 mg/mL).ConclusionThe variations in the phytonutrients of the same M. oleifera species harvested from different countries could have dire consequences including potential health risks and even death. This study should serve as a benchmark toward the phytonutrients and marketing implications on the quality of products formulated with samples harvested from different growth environments and exists as a reference for further research into the cultivation and marketing of M. oleifera leaves in South Africa.

Sociodemographic factors, cognitive performance and cognitive reserve in brazilian High Performance Older Adults (HPOAs)

Given the increasing aging population, investigating the cognitive functioning of older adults is crucial. Various factors are associated with both cognitive decline and preservation. High Performance Older Adults (HPOAs) are a subset of older individuals demonstrating exceptional cognitive abilities, often exhibiting phenotypic characteristics such as superior cognitive skills. This study aims to investigate the relationship between sociodemographic factors, cognitive reserve and cognitive performance in a sample of brazilian older adults identified as having high cognitive abilities. To examine this phenomenon, data were collected via a sociodemographic questionnaire and cognitive assessments. Of an initial sample of 62 participants, 54 completed the study (38.8% men, 61.1% women). Analysis revealed 12 participants (22.2%) met HPOA criteria, while 42 (77.7%) were classified as Standard Performance Older Adults (SPOAs). HPOAs demonstrated significantly better performance on the Rey Auditory Verbal Learning Test (RAVLT) in trials A1-A5, A6, A7, and Recognition Memory (p &lt; 0.001); on the Rey Complex Figure in Immediate and Delayed Recall (p = 0.006), and on the Trail Making Test A (TMT A) (p = 0.003). Significant differences were also found in the analysis items of the Cognitive Reserve Scale (CRS) (p &lt; 0.001; p = 0.008; p = 0.002). The findings reveal that HPOAs exhibit superior performance in episodic memory, attention and processing speed tasks. The model coefficients in logistic regression revealed a statistically significant association between Total Points in CRS and HPOA (β = 0.0508, standard error = 0.0147, z = 3.45, p &lt; 0.001). These results emphasize the importance of cognitive reserve for preserving cognitive performance in the elderly. New research should aim to elucidate the complex interplay of markers associated with HPOAs, employing rigorous research protocols sensitive to sociocultural context.

Comparison of 3 methods of quantification of phenobarbital in canine plasma: high-performance liquid chromatography, a point-of-care immunoassay, and the FDA-approved immunoassay analyzer.

Phenobarbital is a common antiseizure medication that has a relatively narrow therapeutic window. Therapeutic drug monitoring (TDM) is a helpful tool to guide dose adjustments for phenobarbital and avoid its toxicity. We investigated the agreement among 3 methods of quantifying phenobarbital in canine plasma: high-performance liquid chromatography (HPLC), point-of-care (POC) testing, and the FDA-approved immunoassay analyzer. We randomly selected 45 plasma samples obtained by the TDM service (College of Veterinary Medicine, Auburn University, Auburn, AL, USA). Passing-Bablok regression and Lin concordance correlation coefficients (CCCs) were used to determine the agreement of the results obtained for the 3 methods; Bland-Altman plots were used for bias analysis using the results from the HPLC method as a reference. The FDA-approved immunoassay analyzer and POC immunoassay method results agreed with the HPLC. The results from the FDA-approved immunoassay analyzer were better correlated than those from the POC method, with Lin CCCs of 0.96 (95% CI: 0.93-0.98) and 0.94 (95% CI: 0.90-0.97), respectively. The average biases of the FDA-approved and the POC immunoassay analyzers were 0.80 and -0.64 µg/mL, respectively. Based on the CIs of Lin CCCs, the commercial POC phenobarbital test is a good screening tool and agrees with the HPLC method. However, the FDA-approved immunoassay analyzer method allows for more accurate quantification of phenobarbital concentrations, which is required for appropriate dose adjustment of phenobarbital.

Diffuse Ionized Gas in the Anticenter of the Milky Way

Abstract Using data from the Large Area Multi-Object fiber Spectroscopic Telescope Medium-Resolution Spectroscopic Survey of Nebulae, we create a sample of 17,821 diffuse ionized gas spectra in the anticenter region of the Milky Way by excluding fibers in the directions of H ii regions and supernova remnants. We then analyze the radial and vertical distributions of three line ratios ([N ii]/Hα, [S ii]/Hα, and [S ii]/[N ii]), as well as the oxygen abundance. [N ii]/Hα and [S ii]/Hα do not exhibit a consistent, monotonic decrease with increasing Galactocentric distance (R gal). Instead, they show enhancement within the interarm region, positioned between the Local Arm and the Perseus Arm. [S ii]/[N ii] has a radial gradient of 0.1415 ± 0.0646 kpc−1 for the inner disk (8.34 &lt; R gal &lt; 9.65 kpc) and remains nearly flat for the outer disk (R gal &gt; 9.65 kpc). In the vertical direction, [N ii]/Hα, [S ii]/Hα, and [S ii]/[N ii] increase with increasing Galactic disk height (∣z∣) in both southern and northern disks. Based on the N2S2Hα method, which combines [S ii]/[N ii] and [N ii]/Hα, we estimate the oxygen abundance. The oxygen abundance exhibits a consistent radial gradient with R gal, featuring a slope of −0.0559 ± 0.0209 dex kpc−1 for the inner disk and a similar slope of −0.0429 ± 0.0599 dex kpc−1 for the outer disk. A single linear fitting to the entire disk yields a slope of −0.0317 ± 0.0124 dex kpc−1. In the vertical direction, the oxygen abundance decreases with increasing ∣z∣ in both southern and northern disks.

R Package for Calculating Estimators of the Proportion of Explained Variance and Standardized Regression Coefficients in Multiply Imputed Datasets.

R Package for Calculating Estimators of the Proportion of Explained Variance and Standardized Regression Coefficients in Multiply Imputed Datasets.

Analytical profiling, method development and validation for estimation of Chrysin in nasal simulated fluid using HPLC method with applicability in-situ gelling system

Chrysin (CHY)belongs to the flavone group and has multiple activities, such as antioxidant, anti-inflammatory, anti-apoptotic, anti-cancer, and neuroprotection. Considering the various benefits of CHY, its therapeutic efficacy of it was taken into consideration. Nasal administration of CHY needs estimation of the concentration of CHY in Nasal simulated fluid (NSF) as it mimics the nasal environment. The flourished method was analyzed using high-performance liquid chromatography (HPLC) in NSF toward the estimation of CHY for the analysis of nasal delivery of the drug. The validation of the flourished method was done with some parameters like linearity, robustness, precision, accuracy, and LOD and LOQ with the applicability in prepared and optimized nasal in-situ gel formulation. The linearity was found with regression equation y = 192.66x − 17 having a coefficient of regression 0.9995 with LOD and LOQ 0.47 and 0.77 µg/mL, respectively. The estimated Robustness was less than 2 with a precision value of less than 2%. The flourished method was checked for applicability for the drug release which was checked in-vitro, drug permeation was found with ex-vivo parameters using nasal goat mucosa, drug loading, and also for the stability of the formulation.

Causal effect estimation for competing risk data in randomized trial: adjusting covariates to gain efficiency

The double-blinded randomized trial is considered the gold standard to estimate the average causal effect (ACE). The naive estimator without adjusting any covariate is consistent. However, incorporating the covariates that are strong predictors of the outcome could reduce the issue of unbalanced covariate distribution between the treated and controlled groups and can improve efficiency. Recent work has shown that thanks to randomization, for linear regression, an estimator under risk consistency (e.g. Random Forest) for the regression coefficients could maintain the convergence rate even when a nonparametric model is assumed for the effect of covariates. Also, such an adjusted estimator will always lead to efficiency gain compared to the naive unadjusted estimator. In this paper, we extend this result to the competing risk data setting and show that under similar assumptions, the augmented inverse probability censoring weighting (AIPCW) based adjusted estimator has the same convergence rate and efficiency gain. Extensive simulations were performed to show the efficiency gain in the finite sample setting. To illustrate our proposed method, we apply it to the Women's Health Initiative (WHI) dietary modification trial studying the effect of a low-fat diet on cardiovascular disease (CVD) related mortality among those who have prior CVD.

Almost Disturbance Decoupling Control Strategy for a Class of Underactuated Nonlinear Systems with Disturbances

This paper introduces an almost disturbance decoupling approach to address the disturbance problem for a class of underactuated nonlinear systems. First, a residual system is constructed using a virtual controller and partial differential equations. Next, the unknown disturbances are addressed using an almost disturbance decoupling approach, where Young’s inequality is applied to handle the disturbance terms in the residual system. An almost disturbance decoupling controller is designed for the residual system. The locally asymptotic stability of the closed-loop system is rigorously proven using Lyapunov’s theorem. Finally, simulation results on an IWP system with unknown disturbances and experimental results on an overhead crane are presented to validate the effectiveness of the proposed almost disturbance decoupling control method.

Estimation in partially linear additive errors-in-variables model with stochastic linear restrictions

The partially linear additive model is a flexible and powerful model for evaluating the relationship between multivariate covariates and the response variable. The current paper considers the estimation problem of the model with additive measurement errors, along with some additional stochastic linear restrictions on the regression coefficients. We introduce a weighted corrected profile mixed estimator of the parametric component based on the corrected profile least squares approach and weighted mixed regression method, and further establish the asymptotic normality of the proposed estimator. A Monte Carlo simulation experiment is conducted to illustrate theoretical results, and the findings from the simulation are satisfactory. Finally, we also apply the proposed procedure to analyze the Boston housing market data.

Teaching/learning multiple regression using historical and modern family data

ABSTRACT To deal with the new concepts involved when moving up from simple to multiple regression, I have found that it helps to use readily-understood real-world datasets that involve an engaging question, measurements that students can personally relate to, such as those involving themselves and their families, and just two regressors. I describe, provide copies of, and suggest possible didactic uses of ‘two-regressor’ datasets involving family data. The late-19th century datasets, which gave rise to the very term ‘regression’, involve easily measured variables relating to students and their families, two weakly-correlated parental regressors, and a written protocol that would allow a modern version to be quickly assembled by today’s students. The recent datasets involve a less easily measured but easily understood Y variable that can be modelled within the ordinary or the Poisson (generalized) linear model regression framework, two readily obtained but very strongly-correlated parental regressors, and an engaging example of the striking difference between the regression coefficients in the two ‘1-regressor-at-a-time’ and the one ‘2-regressors-at-once’ regression models.

A nomogram to predict postoperative new-onset cerebral infarction after revascularization of moyamoya disease in adults and its validation: a retrospective study

BackgroundThe new-onset cerebral infarction is frequent after revascularization of moyamoya disease (MMD) in adults, serving as a major public health issue worldwide. The present study aims to construct a nomogram to predict postoperative new-onset cerebral infarction (POCI) after revascularization of adult MMD.Materials and methodsClinical data of 653 cases of adult MMD treated with revascularization were retrospectively analyzed. They were randomly divided into a training set (n = 457) and a validation set (n = 196) at a ratio of 7:3. Based on the risk factors of POCI after revascularization of adult MMD identified by logistic regression analysis and the corresponding regression coefficients, a nomogram was constructed. Its performance to predict POCI after revascularization of adult MMD was validated by calculating the area under the curve (AUC) and the decision curve analysis.ResultsUnivariate and multivariate logistic regression analyses showed that preoperative cerebral infarction (OR 2.548, 95% CI 1.357–4.787; p = 0.004), posterior cerebral artery anomalies (OR 2.106, 95% CI 1.157–3.834; p = 0.015), post-transit arterial development (OR 2.983, 95% CI 1.336–6.661; p = 0.008), pre-anesthesia mean arterial pressure &amp;gt; 102.830 mmHg (OR 3.329, 95% CI 1.938–5.721; p &amp;lt; 0.001), total operating time &amp;gt; 212.500 min (OR 2.256, 95% CI 1.239–4.140; p = 0.008), preoperative fibrinogen level &amp;gt; 2.750 g/L (OR 1.852, 95% CI 1.072–3.200; p = 0.027), and mean corpuscular hemoglobin concentration (OR 1.021, 95% CI 1.001–1.040; p = 0.038) were independent risk factors of POCI after revascularization of adult MMD. The AUC was 0.772 (95% CI 0.714–0.772) in the training set, and 0.718 (95% CI 0.603–0.833) in the validation set.ConclusionCollectively, the newly established nomogram effectively and intuitively predicts the POCI after revascularization of adult MMD.Clinical trial registrationwww.chictr.org, identifier ChiCTR2400087946.

Association between air pollutants and blood cell counts in pediatric patients with asthma: a retrospective observational study

BackgroundAsthma is a common respiratory disease in children, and air pollution is a risk factor for pediatric asthma. However, how air pollution affects blood cells in pediatric patients with asthma remains unclear.MethodsThis retrospective observational study, performed in 2007–2018 at a medical center, enrolled non-trauma patients aged < 17 years who visited the emergency department and had asthma. Medical records and blood cell counts, including absolute neutrophil count (ANC), eosinophil count, and platelet count were extracted. The concentrations of PM2.5, PM10, sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) were measured from 11 air-monitoring stations in Kaohsiung City.ResultsOne-unit increases in PM2.5 (regression coefficient: 25.618; S.E.: 5.937; p < 0.001), PM10 (19.97; 3.541; p < 0.001), NO2 (70.681; 15.857; p < 0.001), SO2 (81.694; 30.339; p = 0.007), and O3 (23.42; 8.831; p = 0.022) on lag 0–6 (7 d average) correlated positively with ANC. One-unit increases in PM2.5 (0.859; 0.357; p = 0.016), PM10 (0.728; 0.213; p = 0.001), and SO2 (4.086; 1.811; p = 0.024) on lag 0–6 correlated positively with eosinophil count. Additionally, one-unit increases in PM2.5 (0.302; 0.101; p = 0.003) and PM10 (0.229; 0.06; p < 0.001) on lag 0–6 correlated positively with platelet count. In a two-pollutant model, the impacts of PM2.5 and PMC on ANC and platelet count remained statistically significant after adjusting for other air pollutants. Additionally, PMC correlated significantly with eosinophil count after adjusting for PM2.5, NO2, SO2, and O3. Quartile increases in PM2.5 and PMC levels correlated positively with ANC, eosinophil count, and platelet count (all p for trend < 0.05).ConclusionsPM2.5, PMC, and NO2 were independently and positively associated with ANC, PMC was positively associated with eosinophil count, and PM2.5 and PMC were positively associated with platelet count in pediatric patients with asthma. Our results highlight the relationship between air pollution and blood cell counts in pediatric patients with asthma.

The Efficiency of Temperature-Controlled Inventory Management: A Case Study of Convenience Store in Salaya Sub-District, Nakhon Pathom Province

Background and Aims: Current logistics management is an important goal that entrepreneurs can use as a source of competitive advantage. Both at the business level and national level. This is because of globalization that has resulted in more intense business competition. And greater trade liberalization As a result, the business sector must upgrade its ability to conduct business in every possible way. The purposes of this research were 1) to investigate the efficiency of temperature-controlled inventory management by studying personal factors, namely work experience, number of employees, position, and monthly average income. And study to investigate the factors of the inventory management system that affect the efficiency of temperature-controlled inventory management in convenience stores. Methodology: The questionnaire was used as a research instrument, it was collected from 15 samples. and collected the direct interviews with managers and employees who administer the inventory control. The statistics that were used were percentage, mean, and standard deviation. The statistics that were used to test the hypothesis were One-Way ANOVA. Results: The result of this study showed that among the sample of 15 convenience store staff, it was found that most of the staff had 1-5 years of work experience, with employees between 11-20 people in general positions, and an average personal monthly income of 10,001-20,000 baht. The hypothesis testing results revealed that the significance of the variables, work experience, position, and average monthly income was greater than the 0.05 level of significance. This indicated that despite differences in work experience, position, and average monthly income, there was no difference in the efficiency of temperature-controlled inventory management for the convenience store in Salaya, Nakhon Pathom. The results of the regression coefficient test revealed that there is only one independent variable had a significant impact on the efficiency of temperature-controlled inventory management of convenience stores. It was the replenishment system. The forecast coefficient was 40.8%. The remaining 59.2% is another factor apart from those mentioned above. For the replenishment system, according to the research results, entrepreneurs should pay great attention to product replenishment and always keep up with the needs of customers to be able to have enough customer service inventory. Conclusion: Work experience, position, and average monthly income do not affect the efficiency of temperature-controlled inventory management of convenience stores in the Salaya Subdistrict. The product replenishment system has an important effect on this efficiency at 40.8 percent. Product replenishment is a factor that entrepreneurs should give importance to to have sufficient inventory and meet customer demand in time.

An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach

This study focused on simulating the adsorption-based separation of Methylene Blue (MB) dye utilising Oryza sativa straw biomass (OSSB). Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and response surface methodology (RSM). To evaluate the adsorbent’s potential, assessments were conducted using Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). The evaluation of RSM, ANN, and ANFIS included the quantification of R2, mean squared error (MSE), root mean square error (RMSE), and mean absolute error (MAE) metrics. The regression coefficients from the process modelling demonstrated that RSM (R2 = 0.9216), ANN (R2 = 0.8864), and ANFIS (R2 = 0.9589) all accurately predicted MB adsorptive removal. However, comparative statistical analysis revealed that the ANFIS model exhibited superior accuracy in data-based predictions compared to ANN and RSM models. The ideal pH for MB adsorption utilizing OSSB was established as 7. Additionally, favourable outcomes were obtained with 60-minute contact durations, 20 mg adsorbent quantities, and temperatures of 30 °C. The pseudo 2nd -order kinetic model for MB adsorption by OSSB was confirmed. The equilibrium data exhibited a superior fit with the Langmuir isotherm model in comparison to the Freundlich model. The thermodynamic adsorption parameters, including (∆G = -9.1489 kJ/mol), enthalpy change (∆H = -1457.2 kJ/mol), and entropy change (∆S = -19.03 J mol−1 K−1) indicated that the adsorption of MB onto the OSSB surface is exothermic and spontaneous under the experimental conditions. This research effectively showcased the potential of RSM, ANN, and ANFIS in simulating dye removal using OSSB. The generated parameter data proved valuable for the design and control of the adsorption process.