Linear Regression Coefficient Research Articles

Analytical method development and validation for the simultaneous estimation of montelukast and Acebrophylline by RP- HPLC method

High performance liquid chromatography is at present one of the most sophisticated tool of the analysis. The estimation of Montelukast and Acebrophylline was done by RP-HPLC. The Phosphate buffer was pH 3.0 and the mobile phase was optimized with consists of Methanol: Phosphate buffer mixed in the ratio of 70:30 % v/ v. Inertsil C18 column C18 (4.6 x 150mm, 5mm) or equivalent chemically bonded to porous silica particles was used as stationary phase. The detection was carried out using UV detector at 260 nm. The solutions were chromatographed at a constant flow rate of 0.8 ml/min. the linearity range of Montelukast and Acebrophylline were found to be from 100-500 mg/ml of Montelukast and 1-5mg/ml of Acebrophylline . Linear regression coefficient was not more than 0.999.The values of % RSD are less than 2% indicating accuracy and precision of the method. The percentage recovery varies from 98-102% of Montelukast and acebrophylline. LOD and LOQ were found to be within limit. The results obtained on the validation parameters met ICH and USP requirements .it inferred the method found to be simple, accurate, precise and linear. The method was found to be having suitable application in routine laboratory analysis with high degree of accuracy and precision.

An Optimized Method for LC–MS-Based Quantification of Endogenous Organic Acids: Metabolic Perturbations in Pancreatic Cancer

Accurate and reliable quantification of organic acids with carboxylic acid functional groups in complex biological samples remains a major analytical challenge in clinical chemistry. Issues such as spontaneous decarboxylation during ionization, poor chromatographic resolution, and retention on a reverse-phase column hinder sensitivity, specificity, and reproducibility in multiple-reaction monitoring (MRM)-based LC–MS assays. We report a targeted metabolomics method using phenylenediamine derivatization for quantifying carboxylic acid-containing metabolites (CCMs). This method achieves accurate and sensitive quantification in various biological matrices, with recovery rates from 90% to 105% and CVs ≤ 10%. It shows linearity from 0.1 ng/mL to 10 µg/mL with linear regression coefficients of 0.99 and LODs as low as 0.01 ng/mL. The library included a wide variety of structurally variant CCMs such as amino acids/conjugates, short- to medium-chain organic acids, di/tri-carboxylic acids/conjugates, fatty acids, and some ring-containing CCMs. Comparing CCM profiles of pancreatic cancer cells to normal pancreatic cells identified potential biomarkers and their correlation with key metabolic pathways. This method enables sensitive, specific, and high-throughput quantification of CCMs from small samples, supporting a wide range of applications in basic, clinical, and translational research.

The Effect of E-WOM and Consumer Satisfaction on Repurchase Interest in Azarine Sunscreen in Cirebon

This study aims to determine the effect of Electronic Word Of Mouth and Consumer Satisfaction on Azarine Sunscreen in Cirebon. This study used descriptive analysis with a quantitative approach. The population in this study is consumers of Azarine Sunscreen in Cirebon with the number of samples used as many as 200 respondents. The sampling method used is nonprobability sampling with sampling techniques using purposive sampling, as well as data collection techniques using questionnaires. The analysis methods used are validity tests and reliability tests, classical assumption tests which include normality tests, multicollinearity tests and heteroscedasticity tests, and hypothesis tests that include linear regression analysis, F tests, t tests, and coefficients of determination (R2) with analytical tools using SPSS29 (Statistical Product and Service Solutions) applications. The results showed that Electronic Word Of Mouth had a significant effect on Azarine Sunscreen Repurchase Interest in Cirebon, Consumer Satisfaction had a significant effect on Azarine Sunscreen Repurchase Interest in Cirebon, and Electronic Word Of Mouth and Consumer Satisfaction variables simultaneously affected Azarine Sunscreen Repurchase Interest in Cirebon.

#1688 Association of baseline serum activin levels with left atrial diameter at 5 years post-kidney transplantation: results from the KNOW-KT

Abstract Background and Aims Serum activin A inhibits muscle growth, promotes apoptosis, and impairs heart function. However, the role of serum activin remains unclear in kidney transplant patients, where cardiovascular complications are a significant cause of morbidity and mortality. In this multicenter, observational cohort study, we investigated a potential association of pre-transplant serum activin levels with the left atrial (LA) diameter, an indicator of diastolic burden and a predictor of cardiovascular complications, to indirectly assess the impact of pre-transplant activin levels on heart function in kidney transplant patients. Method Overall, 602 kidney transplant patients from KNOW-KT (Korean cohort study for outcome in patients with kidney transplantation) were analyzed. Activin levels were measured at baseline immediately before kidney transplantation (KT). The primary outcome was the LA diameter that was measured by transthoracic echocardiography at 5 years after KT. Results The mean age of study population was 45.4 years and 221 (46.7%) patients were men. Pre-transplant serum activin levels were 718.4 ± 363.2 (mean ± standard deviation). When activin levels were divided into categorical variables according to the median value, the ejection fraction of LV showed a lower tendency in the high-activin group (64.3 ± 7.0) compared to the low-activin group (65.3 ± 6.2); however, there was no statistical significance (P=0.069). LV diastolic dimension was significantly higher in the high-activin group (47.3 ± 5.3) compared to the low-activin group (46.3 ± 5.5) (P=0.021). Notably, the post-transplant LA diameter was 37.0 ± 7.0 mm in the low-activin group and 39.1 ± 6.5 mm in the high-activin group, showing a significant difference (P<0.001). The multivariate linear regression coefficient for association between activin groups and LA diameter was 1.08 (95% confidence interval [CI], 0.67-2.10, P=0.037). In an additional logistic regression analysis of LA diameter groups, the high activin group was significantly associated with the high LA diameters compared to the low-activin group in multivariate analysis (adjusted odds ratio [OR], 2.04; 95% CI, 1.34-3.09, P=0.001). When activin levels were used as a continuous variable, adjusted ORs of activin for high LA diameters were 1.29 (95% CI, 1.04-1.60, P=0.018). Conclusion Pre-transplant serum activin levels were independently associated with a higher post-transplant LA diameter, suggesting that activin may negatively affect heart functions in kidney transplant patients. Therefore, activin may be a potential prognostic and therapeutic target in kidney transplant patients.

Adaptability parameters of the trait ‘1000-grain weight’ of spring barley in the conditions of the Ryazan region

The purpose of the current work was to study the ecological adaptability and stability of the trait ‘1000-grain weight’ of spring barley varieties of different ecological and geographical origins over three years of research in the conditions of the Ryazan region. To analyze and study this issue 26 varieties of the collection nursery were studied on the fields of the laboratory of breeding and primary seed production of ISA, a branch of the FSBI FRAEC VIM, located in the forest-steppe agroclimatic zone of the Ryazan region in 2021–2023. To calculate the adaptability parameters, there were used the following coefficients and indicators: adaptability coefficient (AC), yield range (d, %), homeostatic index (Homi), variety yield stability level index (VISLi, %), environmental adaptability (a linear regression coefficient) (bi), stability of the trait (σd2), index of environmental conditions (Ij), stability factor (SF), genetic flexibility of the variety (Ymin+Ymax/2), stress resistance (Ymin–Ymax) and coefficient of responsiveness to favorable growing conditions (Cr), calculated using appropriate methods. The study has established that the dominant influence (66.4 %) on the variability of the trait ‘1000-grain weight’ of the studied varieties is made by the factor “year” (growth and development conditions). A significant contribution to the formation of the indicator “weight of 1000 grains” is made by the meteorological conditions of the grain filling phase (July) – HTC (r = +0.722 p = 0.01) and the amount of precipitation (r = +0.637, p = 0.01). 80.8 % of the 26 varieties studied belonged to the large-grain group (1000-grain weight was more than 50.0 g), the average varietal yield of the varieties was quite high with 6.84 t/ha. Based on the principle of ranking the obtained indicators of adaptability of the trait ‘1000-grain weight’ and its components, there were identified the varieties ‘Dobry’, ‘Magutny’ (Republic of Belarus) and ‘Lenetah’ (USA), which took, respectively, first, second and third places in the rating scale. It can be recommended to involve these varieties in a breeding crossbreeding program to increase grain size.

Simultaneous determination of five plant hormones in cotton leaves using QuEChERS combined with HPLC‒MS/MS

BackgroundPlant hormones profoundly influence cotton growth, development, and responses to various stresses. Therefore, there is a pressing need for an efficient assay to quantify these hormones in cotton. In this groundbreaking study, we have established QuEChERS-HPLC‒MS/MS method, for the simultaneous detection of multiple plant hormones in cotton leaves, allowing the analysis and quantification of five key plant hormones.ResultsSample extraction and purification employed 0.1% acetic acid in methanol and C18 for optimal recovery of plant hormones. The method applied to cotton demonstrated excellent linearity across a concentration range of 0.05–1 mg·L−1, with linear regression coefficients exceeding 0.99. The limits of quantification (LOQs) were 20 μg·kg−1 for GA3 and 5 μg·kg−1 for the other four plant hormones. Recovery rates for the five plant hormones matrix spiked at levels of 5, 10, 100, and 1000 μg·kg−1 were in the range of 79.07% to 98.97%, with intraday relative standard deviations (RSDs) ranging from 2.11% to 8.47%. The method was successfully employed to analyze and quantify the five analytes in cotton leaves treated with plant growth regulators.ConclusionThe study demonstrates that the method is well-suited for the determination of five plant hormones in cotton. It exhibits excellent selectivity and sensitivity in detecting field samples, thus serving as a robust tool for in-depth research into cotton physiology.

Proposal and Validation of a New Index to Assess the Difficulty of Lower Third Molar Extraction.

A prospective cohort study on a sample of patients of the Master of Oral Surgery of the University of Seville in which multiple linear regression coefficients were calculated with a subsequent validation study of the results in the sample of patients operated in the Hospital Palmaplanas of Mallorca. The regression line obtained after applying the statistical methodology to the cohort of patients from the University of Seville obtained significant dependent variables such as depth, roots, and odontosection. Once applied to the cohort of patients from the Palmaplanas Hospital in Mallorca, a regression coefficient was obtained between the data received and the estimated 0.770. The formula proposed in this article presents significant validity in the prediction of the surgical time of extraction of the lower third molars included.

Analysis of Patient Satisfaction at the Ngudi Sehat Clinic Manang Baki Sukoharjo

Analysis of the Influence of Service Quality on Patient Satisfaction at the Ngudi Sehat Manang Baki Sukoharjo Clinic. This research aims to determine and explain the influence of Service Quality consisting of Reliability, Guarantee, Physical Evidence, Empathy and Responsiveness on Patient Satisfaction at the Ngudi Waras Manang Baki Sukoharjo Clinic. The population of this study was all 257 patients of the Ngudi Sehat Manang Baki Sukoharjo Clinic in 2023 with a sample of 125 people using the Ferdinad formula. Data collection using questionnaires. The data analysis techniques used for statistical analysis are multiple linear regression test, F test, t test, and coefficient of determination. The research results show that service quality has a positive and significant effect on patient satisfaction at the Ngudi Sehat Manang Baki Sukoharjo Clinic. Physical evidence contributed to patient satisfaction by 97%, while the remaining 3% was explained by other variables not proposed in this study. The suggestion from this research is that the Ngudi Sehat Manang Baki Sukoharjo Clinic needs to improve all dimensions of service quality so that patient satisfaction can increase.

Patient Satisfaction The Seger Waras Pratama Clinic in Polokarto Sukoharjo

This research aims to determine the influence simultaneously (simultaneously) and partially of variablestherapeutic communication, service quality, brand image and trust in patient satisfaction at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. This research method uses a quantitative research design. The population in this study were 863 patients at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. The sampling technique used in this research was a purposive sampling technique with a sample size of 86 respondents. Data collection using questionnaires. The data analysis techniques used for statistical analysis are multiple linear regression test, F test, t test, and coefficient of determination. The research results show that therapeutic communication, service quality, brand image and trust simultaneously and significantly influence patient satisfaction at the Pratama Seger Waras Clinic in Polokarto Sukoharjo. Suggestions from this research, Pratama Seger Waras Clinic in Polokarto Sukoharjo continues to improve therapeutic communication, service quality, brand image and existing trust, so that patient satisfaction will increase and be better than before.

Abstract PS18-01: Stage Advancement and The Rate of Growth Associated with Preoperative Delay in Patients Having Breast Cancer

Abstract Introduction: For every delay interval between breast cancer diagnosis and surgery we have previously found a relative decline in disease-specific survival of 26% (60 d) and overall survival of 9-10% (30 d). There is, however, little explanation for this. In our experience, patients focus on the likelihood of cancer growth between diagnosis and surgery, and whether preoperative delay might lead to upstaging, with nodal status of particular concern when they are clinically node-negative. With little published data about delay-associated upstaging and no large-scale national data determining how fast tumors grow, this study was performed to determine these rates. Methods: Patients ≥18 years old having stage 0-III breast cancer who received surgery as first treatment between 2010 and 2020 were reviewed in the National Cancer Database (NCDB), the largest national dataset to contain the needed clinical and pathologic staging. Patients were reviewed for correlation between preoperative delay and cancer upstaging, defined as an increase from cT to pT or cN to pN stages, after assessing baseline clinical stage inaccuracy. Accuracy of clinical staging was determined by comparing clinical stages at presentation to pathologic stages at surgeries ≤15 days of diagnosis, assuming negligible tumor growth in that period. cN3 and cT3 tumors were excluded as there is no higher size-dependent pathologic stage. Upstaging probabilities and odds ratios (ORs) were estimated with logistic regression, adjusted for age, race, Hispanic ethnicity, gender, histology, grade, phenotype, and clinical T or N stage. For patients with delays >15 days, adjusted linear regression coefficients of tumor size on preoperative delay were used to estimate primary invasive tumor growth rates. Results: Among 1,040,197 patients, the median time between diagnosis and surgery was 34 days (IQR 23-49), with 11.6% having primary tumoral and 14.6% having nodal upstaging. In the 10.2% of patients where surgery was performed ≤15 days of diagnosis, 13.9% of DCIS, 11.5% of cT1, and 4.5% of cT2 tumors were upstaged (p < 0.0001). For every 30 days of delay between diagnosis and surgery, the ORs for tumor upstaging, adjusted for covariates, were 1.09 for DCIS (95%CI 1.07-1.10, p< 0.0001), 1.12 for cT1 (95%CI 1.10-1.14, p< 0.0001), and 1.16 for cT2 tumors (95%CI 1.14-1.19, p< 0.0001). For invasive tumors, the adjusted 30-d ORs for upstaging in HR+, HER2+, and TN primaries were 1.12 (95%CI 1.11-1.14), 1.11 (95%CI 1.07-1.15), and 1.19 (95%CI 1.15-1.23), respectively (individual p’s < 0.0001). In the 9.8% of clinically N0 (cN0) patients with a diagnosis-to-surgery interval of ≤15 days, 14.2% were upstaged to node-positive. cN0 patients had an adjusted OR for upstaging to node-positive of 1.06 (95%CI 1.05-1.07, p< 0.0001) for every 30 days of delay. The number of 30-d intervals for cT1mi, cT1a, cT1b, cT1c and cT2 invasive primary tumors to grow 1 mm was 7.8, 7.1, 3.9, 2.8, and 2.0, respectively. Conclusions: Even when accounting for clinical stage inaccuracy, longer delays are associated with a quantifiable increase in upstaging and likelihood of becoming node-positive at surgery. This may explain the higher disease-specific and overall mortality associated with preoperative delay found in prior studies. With larger tumors having a higher delay-associated likelihood of upstaging and faster growth rates, delays become more problematic as tumor size increases. This information reinforces the need to minimize preoperative delays by demonstrating their consequences. It also provides data to address some of breast cancer patients’ most pressing preoperative concerns about how fast breast tumors grow and their upstaging potentials while they await treatment. Citation Format: Richard Bleicher, Karen Ruth, Austin Williams, Eric Ross, Andrea Porpiglia, Allison Aggon, Mary Pronovost, Dennis Holmes. Stage Advancement and The Rate of Growth Associated with Preoperative Delay in Patients Having Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS18-01.

HSPiP, Computational, and Thermodynamic Model-Based Optimized Solvents for Subcutaneous Delivery of Tolterodine Tartrate and GastroPlus-Based In Vivo Prediction in Humans: Part I.

Tolterodine tartrate (TOTA) is associated with adverse effect, high hepatic access, varied bioavailability, slight aqueous solubility, and short half-life after oral delivery. Hansen solubility parameters (HSP, HSPiP program), experimental solubility (T = 298.2 to 318.2K and p = 0.1MPa), computational (van't Hoff and Apelblat models), and thermodynamic models were used to the select solvent(s). HSPiP predicted PEG400 as the most suitable co-solvent based on HSP values (δd = 17.88, δp = 4.0, and δh = 8.8 of PEG400) and comparable to the drug (δd = 17.6, δp = 2.4, and δh = 4.6 of TOTA). The experimental mole fraction solubility of TOTA was maximum (xe = 0.0852) in PEG400 confirming the best fit of the prediction. The observed highest solubility was attributed to the δp and δh interacting forces. The activity coefficient (ϒi) was found to be increased with temperature. The higher values of r2 (linear regression coefficient) and low RMSD (root mean square deviation) indicated a good correlation between the generated "xe" data for crystalline TOTA and the explored models (modified Apelblat and van't Hoff models). TOTA solubility in "PEG400 + water mixture" was endothermic and entropy-driven. IR (immediate release product) formulation can be tailored using 60% PEG400 in buffer solution for 2mg of TOTA in 0.25mL (dosing volume). The isotonic binary solution was associated with a pH of 7.2 suitable for sub-Q delivery. The approach would be a promising alternative with ease of delivery to children and aged patients.

Faktor-Faktor Yang Mempengaruhi Corporate Social Responsibility Pada Perusahaan Property dan Real Estate Yang Terdaftar Di Bursa Efek Iindonesia Tahun 2018-2022

This research aims to determine the factors that influence corporate social responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022. This research uses a quantitative type of research with a sampling technique using a purposive sampling method and a data collection technique using documentation data taken from the Indonesian Stock Exchange. Data were analyzed using descriptive statistical tests, normality tests, classical assumption tests, multiple linear regression tests, hypothesis tests and coefficient of determination tests with the help of SPSS. The results of this research show that simultaneously tax aggressiveness and liquidity have an effect on corporate social responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022, then partially tax aggressiveness has no effect on Corporate Social Responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022, while liquidity influences Corporate Social Responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022.

Pengaruh Iklan Dan Harga Terhadap Keputusan Pembelian Keramik Pada Depo Jaya Bangunan Kota Mataram

This study aims to determine the effect of Advertising and Price on Purchase Decisions at the Depo Jaya Bangunan in Mataram City. The population in this study were all Depo Jaya Bangunan consumers in the city of Mataram, while the sample of this study was 100 Depo Jaya Bangunan consumers using a probability sampling technique. This type is associative research. This data processing uses SPSS, where validity test, reliability test, classical assumption test, multiple linear regression test, t test and coefficient of determination (R2) test are carried out. Results Based on the analysis test, all variables have a partial effect where Advertising has a positive effect on Purchase Decisions, Price has a significant effect on Purchase Decisions. Based on these results, it is recommended that Depo Jaya Bangunan can reproduce advertising and also continue stabilize prices so that it can make consumers continue to make purchases at Depo Jaya Bangunan

The Effect of Company Size, Profitability and Company Age on the Timeless of Financial Reporting

This research seeks to evaluate how financial reporting timeliness is influenced by three key variable—company size, profitability, and company age. Timely financial reporting holds significance in the realm of corporate finance, as it enables stakeholders to make more informed decisions. The study focuses on companies listed on the stock exchange that have released financial reports in recent years, specifically examining properties and real estate firms listed on the Indonesia Stock Exchange between 2019 and 2021. To examine the correlation between the independent variables (company size, profitability, and company age) and the dependent variable (timeliness of financial reporting), the study employs various statistical analyses, including linear regression. The research follows a quantitative descriptive approach, involving descriptive statistical data analysis, classical assumption testing, multiple linear regression tests, hypothesis testing, and coefficient of determination test. The result indicate that all independent variables have a simultaneous effect on the timeliness of financial reporting. Partially the variables of company size company size and profitability have a negative effect, whereas the age of the company has no effect on the timeliness of financial statements. This suggests that fundamental factors associated with a company play a crucial role in determining the accuracy of its financial reports

Assessment of Polar Ionospheric Observations by VIPIR/Dynasonde at Jang Bogo Station, Antarctica: 2. Ionospheric Ion Drift Velocity

AbstractSince the installation at the Antarctic Jang Bogo Station (JBS) in 2017, Korea Polar Research Institute (KOPRI) has been operating the Vertical Incidence Pulsed Ionospheric Radar (VIPIR) equipped with Dynasonde analysis (JVD). The two‐dimensional ion velocity is one of the key ionospheric parameters obtained from the JVD. The ionospheric ion velocities are compared with simultaneous, but independent, measurements of the Doppler velocity obtained from SuperDARN East radar at Dome C. The JVD ion velocity vector is projected to the line‐of‐sight direction of the SuperDARN observation over the JBS to be directly compared with each other. The result of comparison shows a reasonable agreement with the correlation coefficient of 0.72. The linear regression coefficient of about 0.5 represents that the JVD ion velocity is generally smaller than the SuperDARN observations by the regression coefficient, which may result from the different height ranges of the measurements. It is also found that the correlation coefficient increases with increasing magnetic activity (Kp), which suggests that the small‐scale ionospheric density irregularities tend to move with large‐scale plasma motion that is driven by enhanced plasma convection with increasing Kp.

The Influence of Brand Reputation and Price on the Decision to Purchase Counterfeited Crocs Products (Case Study of Users of Fake Crocs Products, South Jakarta)

The purpose of this research is to examine: The Influence of Brand Reputation and Price on Purchase Decisions for Counterfeited Crocs Products (Case Study of Users of Fake Crocs Products in South Jakarta). This research used a sample of 100 samples, with the criteria being consumers who had used fake Crocs products and consumers who were still using fake Crocs products. The data analysis that researchers used in this research used descriptive analysis, data quality testing, classical assumption testing, multiple linear regression testing, hypothesis testing, and coefficient of determination testing. The software that researchers use is SPSS version 25. The results of this research are: 1) Based on the results of the T test, it is known that the sig value is 0.000 < 0.05, meaning that the Brand Reputation variable (X1) statistically has a positive and significant effect on Purchasing Decisions (Y). 2) Based on the results of the T Test on the Price variable, it is known that the sig value is 0.015 < 0.05, meaning that the Price variable (X2) statistically has a positive and significant effect on Purchasing Decisions (Y). 3) The Brand Reputation and Price variables simultaneously have a significant effect on Purchasing Decisions by having a sig value of 0.000 <0.005, meaning they have a positive and significant effect on Purchasing Decisions (Y) simultaneously.

The Influence of Viral Marketing, Brand Image and Lifestyle on Purchasing Decisions for Nivea Brand Hand and Body Lotion Products (Case Study of Students at the Faculty of Economics, University of 17 August 1945 Banyuwangi)

This research aims to determine and analyze the influence of Viral Marketing, Brand Image and Lifestyle on Purchase Decisions for Nivea brand hand and body lotion products. The research population was students from the Faculty of Economics, University of 17 August 1945 Banyuwangi, with a research sample of 65 respondents. With the data obtained using the Probability Sampling technique with a simple random sampling technique and carrying out analysis which includes instrument testing, classical assumption testing, multiple linear regression testing, hypothesis testing and coefficient of determination testing. Based on the results of the analysis, conclusions can be drawn from the results of the hypothesis test F test, the Viral Marketing, Brand Image and Lifestyle variables are stated to be good and have a significant effect on the Purchase Decision variable for Nivea brand hand and body lotion products. The results obtained include validity and reliability, all of which are suitable for use and can be used in further tests. The regression results obtained Y = 4.004 + 0.364X1 + 0.366X2 + 0.334X3, the simultaneous test obtained calculated F> F table, t test for all variables calculated t value> t table, the value of the Adjusted R Square coefficient of determination was 40.8%, Assumption test The classic includes the normality test for all normal variables, the multicollinearity test without all multicollinearity, the total heteroscedasticity test without heteroscedasticity.

The association of race, ethnicity, and socioeconomic status on the severity of menopause symptoms: a study of 68,864 women.

This study aimed to evaluate if and how race, ethnicity, and socioeconomic status (SES) are associated with the severity of menopause symptoms in a large, diverse sample of women. For this cross-sectional study conducted between March 24, 2019, and January 13, 2023, a total of 68,864 women were enrolled from the Evernow online telehealth platform. Participants underwent a clinical intake survey, which encompassed demographic information, detailed medical questionnaires, and a modified Menopause Rating Scale. The modified scale was adapted for ease of use online and is available in the supplementary material along with the full intake. Symptom severity was evaluated using a multivariate binomial generalized linear model, accounting for factors such as race, ethnicity, age, body mass index, smoking status, bilateral oophorectomy status, and SES. Odds ratios (OR) and CIs were calculated based on the linear regression coefficients. Of the participants, 67,867 (98.6%) were included in the analysis after excluding outliers and those with unknown oophorectomy status. The majority of respondents identified as White (77.4%), followed by Hispanic (9.0%), Black (6.7%), two or more races/ethnicities (4.4%), Asian (1.2%), Indigenous/First Nations (0.8%), Middle Eastern (0.3%), and South Asian (0.2%). Notably, individuals identifying as Black (hot flashes OR, 1.91; 97.5% CI, 1.75-2.09; P < 0.001), Hispanic (skin/hair changes OR, 1.58; 97.5% CI, 1.45-1.71; P < 0.001), Indigenous/First Nations (painful sex OR, 1.39; 97.5% CI, 1.19-2.75; P = 0.007), Middle Eastern (weight changes OR, 2.22; 97.5% CI, 1.25-4.37; P = 0.01), or with two or more races/ethnicities (skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001) reported higher levels of symptom severity compared with their White counterparts. Conversely, Asian and South Asian participants reported lower symptom severity. Even after incorporating SES into the linear model, racial and ethnic groups with lower SES (Black, Hispanic, Indigenous, and multiple ethnicities) exhibited slight shifts in OR while maintaining high statistical significance (Black [hot flashes OR, 1.87; 97.5% CI, 1.72-2.04; P < 0.001], Hispanic [skin/hair changes OR, 1.54; 97.5% CI, 1.42-1.68; P < 0.001], Indigenous/First Nations [painful sex OR, 1.74; 97.5% CI, 1.17-2.70; P = 0.009], multiple ethnicities [skin/hair changes OR, 1.41; 97.5% CI, 1.26-1.58; P < 0.001]). Our study suggests that the relationship between race and ethnicity and the severity of menopause symptoms is not solely explained by differences in SES but is itself an independent factor. Understanding and addressing social, cultural, and economic factors are crucial to reduce disparities in menopausal symptoms.

Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset

Tropical cyclones strike massive devastation of agricultural crops in South Asian countries practically every year. For assessing impacts on primary land use and land cover (LULC) classes of Patuakhali district in Bangladesh, this study utilized the Landsat-8 image dataset to compute change detection indices of a consistent cyclone landfall period in the late rainy season (October and November). Different stage of cyclones based on their wind speed (km/h) were also analyzed to explore agricultural crop change detection due to the tropical cyclone (TC) Bulbul (made landfall on November 9th, 2019). Three years later, cyclone Sitrang made landfall on October 24th, 2022, and was employed for the test results that the Bulbul's rice growth vegetation index (RGVI)-CD trained in the study's machine learning (ML) system. Therefore, the objective of this study was to determine rice crop changes from RGVI due to a cyclone (Bulbul) to evaluate growth change status by another cyclone (Sitrang) using machine learning system. In Patuakhali district, the rice crops were damaged mainly and affected in classification as moderately changed detected (MCD) 26.07%, very changed detected (VCD) 48.83%, and extremely changed detected (ECD) 17.73% in total agricultural lands area (1548.93 km2). It was also significantly monitored for the rice crops to change as rice growth vegetation index (RGVI)-CD related to cyclone wind speed (km/h), DEM, distance from the rivers, and shorelines. From the result, the symmetric regression of coefficient (R2) of (i) linear regression, (ii) fine tree, (iii) support vector machine, (iv) ensemble boosted trees, and (v) trilayered neural network were obtained 0.735, 0.734, 0.737, 0.756 and 0.736 as good-fitted test outcomes respectively. Applying the five machine learning models that were created from cyclone Sitrang, it was discovered that the test set in this system was accurate to the observed forecast with acceptable RMSE and MAE values. Therefore, study can be helpful for researchers creating new damaged and yield loss area assessment policies to help TC-affected farming communities, especially rice growers, prepare an effective emergency response plan for their socioeconomic needs fulfillment in the changing climate perspectives for attaining sustainable development.

The Distinction of Evaluation on Companies in Different Fields

This paper explores the variations in Return on Equity (ROE) and Price-to-Sales Ratio among publicly traded companies across different time periods and market capitalizations. The analysis employs Linear Regression and Correlation Coefficients to examine the relationships between ROE, Price-to-Sales Ratio, Market Capitalization, and economic conditions during these periods. The findings reveal that Price-to-Sales Ratio serves as a reliable indicator of a company's market capitalization. Furthermore, companies within the same industry exhibit substantial disparities in Market Capitalization, ROE, Price-to-Sales Ratio, Price-to-Earnings (P/E) Ratio, and PEG Index due to differing corporate strategies and backgrounds. For instance, in the new energy sector, both BYD and NIO display a negative correlation between market capitalization, while Tesla contradicts this trend. This discrepancy is attributed to internal factors such as asset composition, liabilities, and shareholder structure, which significantly influence a company's financial performance. The Market Capitalization of these new energy companies is predicted to rise due to global interest in AI technology, with technology companies being at the forefront of AI development. In the technology sector, companies like Google have solidified their positions by advancing AI concepts. New entrants, like Apple, combining Artificial Intelligence and Robotics, are gaining consumer support, indicating potential Market Cap. growth. The fashion industry also demonstrates distinctive strategies, with companies like NIKE, Adidas, and Anta focusing on sustainability and carbon neutrality. Therefore, future company evaluations should consider both financial indices and a company's long-term vision and sustainability practices to predict their future value effectively.