Coefficient Correlation Research Articles

Enhancing Nurses' Disaster Management and Preparedness: Evaluating the Effectiveness of an Online Educational Program Through a Quasi-Experimental Study.

Disaster management is an ongoing international concern, and nurses play essential roles in minimizing negative impacts on the health of communities. However, many nurses have limited knowledge and skills on how to respond to disasters effectively. Therefore, this study was conducted to determine the effectiveness of a newly developed educational program on improving nurses' disaster management and preparedness. A quasi-experimental study was conducted on 88 nurses working at a public hospital. The educational program included six modules covering various aspects of disaster management. Pre-and post-tests were administered to evaluate changes in perceptions of disaster management competencies. Independent sample t-test, Pearson coefficient correlation, and One-way ANOVA tests were all run using SPSS. A significant proportion of nurses (78.4%) reported ongoing training in disaster management, while a smaller percentage (21.6%) expressed a contrary opinion. Nurses also had a moderate level of agreement with the disaster preparedness program (Pretest: 2.26 ± 0.34; post-test: 2.29 ± 0.31). Further, the results showed small improvements in nursing perceptions of the operational plan after the educational program (Pretest: M=2.76, SD=0.63; Post-test: M=2.89, SD=0.44), although the differences between pre-and-post assessments were not significant (P > 0.05). The mean values for overall familiarity in the pre-test were 3.16 ± 1.39, while in the post-test, they slightly increased to 3.26 ± 1.18. The findings also showed no statistically significant differences reported in nurses' attitudes and familiarity towards disaster preparedness based on the gender, marital status, nationality, working shifts, and working hours variables (P > 0.05). This study demonstrated the significance of providing nurses with the essential knowledge that helps respond to disasters. Online educational programs can help improve nurses' preparedness to better manage disasters. Future research should investigate additional variables that could enhance nurses' knowledge and skills related to disaster response.

Impact of Angiotensin Receptor Blockers on Angiotensin III and Leptin in Rabbits

Angiotensin III (Ang III) properties include chemotaxis, creation development factors, and chemokines, which are also involved in renal and cardiovascular functions. Angiotensin receptor blockers (ARBs) are commonly used to treat cardiovascular illnesses. One factor that contributes to controlling blood pressure and resting metabolic rate is the protein Leptin (LEP). This study aimed to analyze ARB's (Losartan, Telmisartan, or Candesartan) effects on the levels of Ang III and LEP in rabbits. The characterization of the relationship between the two factors will be studied. The study was conducted on forty Oryctolagus cuniculus male rabbits. They were divided into four groups, randomly. Treated daily for ten days with intraperitoneal Losartan 0.7 mg/kg/day [G I], Telmisartan 0.6 mg/kg/day [G II], Candesartan 0.1 mg/kg/day [G III], and Control [G IV]. Pre- and post-treatment levels of Ang III and LEP, the changes in their histopathological characteristics, and coefficient correlations were analyzed. The three groups exhibited a drastic decrease in serum Ang III and LEP levels compared to the baseline and control. The effects of Losartan, Telmisartan, and Candesartan on the end organs of the liver, kidney, and heart, did not show any alterations. There was a weak positive correlation between the two factors. In conclusion; Losartan, Telmisartan, and Candesartan significantly decreased the activity of the RAS via their effect on Ang III and LEP levels as another mechanism for their efficacy in treating cardiovascular illnesses.

UV- Spectrophotometric technique- based method development and validation for simultaneous estimation of Ciprofloxacin HCl and Quercetin in bulk powder

Antibiotic resistance is increasing worldwide, especially among ocular pathogens and one of the major reasons for this severity is the formation of biofilm which causes antibacterial specialists like Ciprofloxacin HCl to be ineffective, but combining it with substances that inhibit quorum sensing, a process that leads towards the development of biofilm, such as Quercetin, in a single formulation is an effective way to treat these infections. Aiming to develop and approve a new analytical method for the simultaneous evaluation of ciprofloxacin HCl and quercetin in their mass powder, the current examination is expected to accomplish this. Two strategies—the simultaneous equation approach (I) and the absorbance ratio method (II)—were created and validated in accordance with ICH guidelines for specificity, selectivity, linearity, precision, and accuracy. Quercetin's and Ciprofloxacin HCl's absorbance maxima (λmax) were determined to be at 327 nm and 271 nm, respectively, with coefficient correlation values of 0.999 and 0.997. Their isosbestic point was noticed at a maximum wavelength of 283 nm. Both Ciprofloxacin HCl and Quercetin demonstrated linearity in the focus range from 1 µg/ml to 10 µg/ml when absorbances were measured at any of the aforementioned levels. It was discovered that the developed processes were exact and precise with less than 2% relative standard deviation (%RSD). %Recovery studies were found to be 98.62-101.15% for Ciprofloxacin HCl at 271nm, 99.34-100.94% for Quercetin at 327nm, 99.63-104.62%, and 101.23-102.64% for Ciprofloxacin HCl and Quercetin respectively at their isosbestic point. Because it was discovered to be simple, rapid, specific, selective, linear, exact, and based on absorptivity measurements, the established UV Spectrophotometric technique can be used for in vitro depiction and contemporaneous assessment of Ciprofloxacin HCl and Quercetin.

Quality of Life and Job Performance of Employees of a Construction Company in Doha, Qatar, during the 2022 FIFA World Cup

Hosting mega-sport events is a risk-involving decision, but the intangible benefits as an outcome cannot be ignored. This study gauged the impact of the 2022 FIFA World Cup on the quality of life through the working conditions, public safety, and cost of living related to the job performance of the 20 finance and accounting department workforce of a construction company in Doha, Qatar. Employing the descriptive-correlation method as the research design, the data gathered using the researcher-structured questionnaire were analyzed using frequency, percentage, weighted mean, and Spearman Rho coefficient correlation test as statistical tools. The study concluded that the anticipated negative quality of life indicators did not materialize during the mega-sport event. Further, the 2022 FIFA World Cup did not negatively impact the respondents' job performance since they still managed to perform their job assignments well. The paper, therefore, encourages that, at the very least, employees to diligently perform their jobs at all times while employers provide the necessities and should always consider safeguarding their employees' quality of life while at work by providing decent and comfortable working conditions and reasonable compensation and benefits enabling them to adequately cover their cost of living, especially during periods where mega-events are to be held within the geographical scope of their business operations. This study is useful for policymakers who are planning to utilize mega events to enhance the quality of life and job performance of working residents of the host communities.

The change of bile salt stimulated lipase during 6 months and the correlation with macronutrients in Chinese human milk

Bile salt stimulated lipase (BSSL) is the most abundant lipase in human milk which plays a pivotal role in new-born fat digestion, especially in the first six months of life. Lipid as the main energy supply for infant was very depending on BSSL activity for obtaining optimal lipid absorption under immature digestion track and pancreatic system condition. Due to the important role of BSSL, this research was addressed to study the effect of gender and lactation stage on BSSL activity and the correlation of BSSL with macronutrients content in Chinese human milk. Cross sectional and longitudinal study were used to investigate the BSSL activity and concentration pattern during 6 months of lactation. A declining pattern of both BSSL activity and concentration was observed as lactation stage progressed. The BSSL concentration significantly declined from 138.56 to 97.07 μg/ml during 6 months. Significant differences of BSSL activity and concentration were also observed in human milk for different gender babies. Male babies had breastmilk with less BSSL rather than female babies. Protein had strong correlation with BSSL activity and concentration, while carbohydrate had non-significant negative coefficient correlation. However, no correlation observed between fat content and BSSL.

CAFFEINE AND JUNK FOOD CONSUMPTION AFFECT THE LEVEL OF DYSMENORRHEA PAIN IN MIDWIFERY STUDENTS

DDysmenorrhea is the most common gynecological problem among adolescents and can be influenced by various factors such as unhealthy food. Many female students consume junk food and caffeine today. The purpose of this study was to determine whether there is a relationship between caffeine consumption and junk food consumption on the level of dysmenorrhea pain. This was observational analytic research with a cross-sectional design and used a questionnaire as the measuring tool. The population in this study was all midwifery students at the Sultan Agung Islamic University, Semarang. The sample in the study was 77 female students taken using a simple random sampling technique. The prevalence of dysmenorrhea is 96% in this study. The correlation test showed a p-value of 0.009 for caffeine consumption with a coefficient correlation of 0.294 and a P-value of 0.022 for junk food consumption with a coefficient correlation of 0.261 on the level of dysmenorrhea pain. Most students suffer from dysmenorrhea. There is a significant relationship between caffeine consumption and junk food consumption on the level of dysmenorrhea pain. Increasing awareness of consuming healthy food is needed.Keywords: Caffeine, Dysmenorrhea, Junk Food

Assessing intra- and inter-method agreement of functional data.

Modern medical devices are increasingly producing complex data that could offer deeper insights into physiological mechanisms of underlying diseases. One type of complex data that arises frequently in medical imaging studies is functional data, whose sampling unit is a smooth continuous function. In this work, with the goal of establishing the scientific validity of experiments involving modern medical imaging devices, we focus on the problem of evaluating reliability and reproducibility of multiple functional data that are measured on the same subjects by different methods (i.e. different technologies or raters). Specifically, we develop a series of intraclass correlation coefficient and concordance correlation coefficient indices that can assess intra-method, inter-method, and total (intra + inter) agreement based on multivariate multilevel functional data consisting of replicated functional data measurements produced by each of the different methods. For efficient estimation, the proposed indices are expressed using variance components of a multivariate multilevel functional mixed effect model, which can be smoothly estimated by functional principal component analysis. Extensive simulation studies are performed to assess the finite-sample properties of the estimators. The proposed method is applied to evaluate the reliability and reproducibility of renogram curves produced by a high-tech radionuclide image scan used to non-invasively detect kidney obstruction.

The Influence of Working Capital Turnover and Debt to Equity Ratio on Return on Asset

The Covid-19 pandemic in 2020 caused the performance of the pharmaceutical subsector to fluctuate. From these results, it can be seen that the Return on Assets of pharmaceutical subsector companies has decreased and Working Capital Turnover has also decreased. The low working capital turnover was due to a decrease in current assets and an increase in current debt used to finance company projects. A low working capital turnover ratio means that working capital processing is not running well, whereas a high working capital turnover ratio means that the company's working capital is functioning effectively. This research aims to know the influence of Working Capital Turnover and debt-debt-equity ratio on Return on Assets in companies' subsector pharmacy period 2017-2022. Data analysis techniques used that is analysis Descriptive and Verifiable using the Assumption Test Classic, Multiple Linear Regression Test, Analysis Coefficient Correlation, Analysis Coefficient Determination, and Hypothesis Testing. The results of this research show that the Working Capital Turnover Variable has partially no influence on the Return on Assets and the Debt to Equity Ratio variable has Partial influential negatively on the Return on Assets Overall Simultaneous Working Capital Turnover and Debt to Equity Ratio affect the Return on Assets.

Comparison of two swept-source optical coherence tomography devices, a Scheimpflug camera system and a ray-tracing aberrometer in the measurement of corneal power in patients with cataract

PurposeTo assess the differences and similarities in the corneal curvature obtained by two swept-source optical coherence tomography (SS-OCT) devices, Scheimpflug imaging system and one ray tracing aberrometer in patients with cataracts. Moreover, this study aimed to compare the differences in posterior corneal (PK), total corneal (TK) and true net power (TNP) measurements among the IOLMaster 700, CASIA2, and Pentacam.MethodsA total of 200 eyes of 200 patients (116 female, 58%) were enrolled in this study, with a mean age of 65.9 ± 9.5 years. The flattest (Kf), steepest (Ks), and mean cornal powers (Km), J0, and J45 were obtained using two SS-OCT-based biometric devices, one rotating camera system and one ray-tracing aberrometer. The PK, TK and TNP values were also measured using these devices. To evaluate the differences and similarities between the devicves, the Friedman test, Pearson correlation coefficient (r), intraclass coefficient correlation (ICC) and Bland‒Altman plots with 95% limits of agreement (LoA) were used, and boxplots and stacked histograms were generated to describe the distributions of the data.ResultsThere were no significant differences between the IOLMaster 700 and Pentacam for any of the keratometry values. Additionally, there were no significant differences between the IOLMaster 700 and iTrace in evaluating J0 and J45. Bland‒Altman plots revealed relatively wide LoA widths, almost larger than 1 diopter for the keratometry values and almost larger than 0.5 diopter for J0 and J45 values among the four devices. In terms of PK and TK values, significant differences and low ICCs were found among the three devices.ConclusionsAlthough strong correlations and good agreement were found among the IOLMaster700, CASIA2, Pentacam and iTrace for Kf, Ks, Km and J0, J45, it seems that the measurements should not be used interchangeably because of the wide LoA widths and the presence of significant differences among the devices. Similarly, due to significant differences and low ICCs, the PK, TK and TNP values obtained by IOLMaster 700, CASIA2, and Pentacam should not be used interchangeably.

ASSOCIATION BETWEEN THE PROFILE OF STAKEHOLDERS AND THEIR LEVEL OF CONVERGENCE IN AGRICULTURAL INNOVATION SYSTEM

Convergence is being made to achieve the common objectives and mutual benefits between partners for targeted project, programmes and /or schemes, where both are sharing their values and outcomes. The present study was carried out in seven districts of South Gujarat during 2020. The six types of stakeholders were playing pivotal role in AIS hence the list of each type of stakeholder were obtained from the concerned authorities. A simple random sampling method was adopted to obtain respondents sample size. Thus, 30 researchers, 50 extensionists, 30 In-charge of NGOs, 30 managers of private agencies, 50 owner of agro-service providers and 50 progressive farmers were selected. All the 240 stakeholders were randomly selected. The statistical tools and method was used to analyze the data were frequency, percentage, arbitrary method and correlation of coefficient. The data represents that overwhelming majority (92.91%) of the respondents as stakeholders had poor to good level of convergence in AIS. The data also reveals that the age, communication ability, information seeking behaviour, mass media exposure, cohesiveness, stress management and management orientation had highly significant correlation with convergence among researchers in AIS. The data tells that the age, stress management and management orientation had highly significant correlation with convergence among extensionists in AIS. While, communication ability was significantly corelated with convergence among extensionists. The data reveals that the age, stress management and management orientation had highly significant correlation with convergence among in charge of NGOs in AIS. While, information seeking behavior, mass media exposure and cohesiveness were significantly corelated with convergence among in charge of NGOs. The data shows that the age, mass media exposure, cohesiveness, stress management and management orientation had highly significant correlation with convergence among manager of private agency in AIS. While, communication ability and information seeking behavior were significantly corelated with convergence among manager of private agency. The data reveals that the age, education, annual income, land holding, extension participation, innovativeness, mass media exposure, achievement motivation, cohesiveness and risk orientation had highly significant correlation with convergence among agro service providers in AIS. While, communication ability and information seeking behavior had significantly corelated with convergence among agro service providers in AIS.

Assessing Inter-rater Reliability of the Dental Practicality Index and the American Association of Endodontists Endodontic Case Difficulty Assessment Form among Undergraduates

Dental Practicality Index (DPI) and American Association of Endodontists Endodontic Case Difficulty Assessment (AAECDA) form potentially can guide clinicians in making clinical decisions and triaging in large practices and academic settings. Nonetheless, the reliability and validity should be evaluated before institution-wide implementation. This study aimed to evaluate the inter-rater reliability of the DPI and AAECDA forms. Ten randomly selected, trained students rated 25 cases with both forms. The itemby-item inter-rater and overall reliability were estimated with Gwet’s agreement coefficient (AC2) and intraclass correlation coefficient (ICC), respectively. The association between clinical decisions and the scores was analysed with the Generalised Estimating Equation. The inter-rater reliability of DPI was generally very good (AC2 = 0.81–1.00), except context (good; AC2 = 0.718; 95% confidence interval [CI] = 0.575–0.861). The inter-rater reliability of AAECDA was generally very good (AC2 = 0.81–1.00) and good (AC2 = 0.61–0.80), except the radiographic appearance of the canal(s) (fair; AC2 = 0.424, 95% CI = 0.263–0.585). Moderate overall inter-rater reliability of AAECDA (ICC = 0.53, 95% CI = 0.38–0.70) and DPI (ICC = 0.62, 95% CI = 0.48–0.77) was observed. Referral to an endodontist was positively associated with AAECDA score (odds ratio [OR] = 1.323, 95% CI = 1.145–1.52, p < 0.001). The decision of tooth extraction was positively associated with the DPI score (OR = 1.983, 95% CI = 1.539–2.555; p < 0.001). In conclusion, DPI and AAECDA are methods with moderate inter-rater reliability when used among dental students.

An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection

Epilepsy is a prevalent neurological disorder that poses life-threatening emergencies. Early electroencephalogram (EEG) seizure detection can mitigate the risks and aid in the treatment of patients with epilepsy. EEG based epileptic seizure (ES) detection has significant applications in epilepsy treatment and medical diagnosis. Therefore, this paper presents an innovative framework for efficient ES detection, providing coefficient and distance correlation feature selection algorithms, a Bagged Tree-based classifer (BTBC), and Explainable Artificial Intelligence (XAI). Initially, the Butterworth filter is employed to eliminate various artifacts, and the discrete wavelet transform (DWT) is used to decompose the EEG signals and extract various eigenvalue features of the statistical time domain (STD) as linear and Fractal dimension-based non-linear (FD-NL). The optimal features are then identified through correlation coefficients with P-value and distance correlation analysis.These features are subsequently utilized by the Bagged Tree-based classifer (BTBC). The proposed model provides best performance in mitigating overfitting issues and improves the average accuracy by 2% using (CD, E), (AB, CD, E), and (A, B) experimental types as compared to other machine learning (ML) models using well-known Bonn and UCI-EEG benchmark datasets. Finally, SHapley additive exPlanation (SHAP) was used to interpret and explain the decision-making process of the proposed model. The results highlight the framework’s capability to accurately classify ES, thereby improving the diagnosis process in patients with brain dysfunctions.

Accuracy of formula-based volume and image segmentation-based volume in calculation of preoperative cystic jaw lesions’ volume

ObjectiveThe aim of this study was to assess the accuracy of formula-based volume measurements and the 3D volume analysis with different software packages in the calculation of preoperative cystic jaw lesions’ volume. The secondary aim was to assess the reliability and the accuracy of 3 imaging software programs for measuring the cystic jaw lesions' volume in CBCT images.Materials and methodsThis study consisted of two parts: an in vitro part using 2 dry human mandibles that were used to create simulated osteolytic lesions to assess the accuracy of the volumetric analysis and formula-based volume. As a gold standard, the volume of each bone defect was determined by taking an impression using rapid soft silicone (Vinylight) and then quantifying the volume of the replica. Afterward, each tooth socket was scanned using a high-resolution CBCT. A retrospective part using archived CBCT radiographs that were taken from the database of the outpatient clinic of the oral and maxillofacial radiology department, Faculty of Dentistry, Minia University to assess the reliability of the 3 software packages. The volumetric data set was exported for volume quantification using the 3 software packages (MIMICS-OnDemand and InVesalius software). Also, the three greatest orthogonal diameters of the lesions were calculated, and the volume was assessed using the ellipsoid formula. Dunn’s test was used for pair-wise comparisons when Friedman’s test was significant. The inter-examiner agreement was assessed using Cronbach’s alpha reliability coefficient and intra-class correlation coefficient.ResultsRegarding the results of the retrospective part, there was a statistically significant difference between volumetric measurements by equation and different software (P value < 0.001, Effect size = 0.513). The inter-observer reliability of the measurements of the cystic lesions using the different software packages was very good. The highest inter-examiner agreement for volume measurement was found with InVesalius (Cronbach’s alpha = 0.992). On the other hand, there was a statistically significant difference between dry mandible volumetric measurements and Gold Standard. All software showed statistically significantly lower dry mandible volumetric measurements than the gold standard.ConclusionComputer-aided assessment of cystic lesion volume using InVesalius, OnDemand, and MIMICS is a readily available, easy to use, non-invasive option. It confers an advantage over formula-based volume as it gives the exact morphology of the lesion so that potential problems can be detected before surgery. Volume analysis with InVesalius software was accurate in determining the volume of simulated periapical defects in a human cadaver mandible as compared to true volume. InVesalius software proved that open-source software can be robust yet user-friendly with the advantage of minimal cost to use.

The Correlation Between Students’ Habit of Watching English Movie and Their Vocabulary Mastery

The purpose of this study is to find out the correlation between students’ habit of watching English movie and their vocabulary mastery and used quantitative research. This study's respondents are 9th-grade students at SMP Advent Unklab Airmadidi, particularly those enrolled in the second semester of the academic year 2022/2023. This study is a descriptive and correlative design. The data was collected from 59 students from 9th grade of SMP Advent Unklab Airmadidi. Descriptive mean analysis and Pearson Product Coefficient Correlation were used to answer the research questions. The findings revealed that (1) the level of students’ habit of watching English movie was 4.30, indicating an often level; (2) the level of students’ vocabulary mastery was 4.29, indicating a high level; and (3) the p = 0.003 and r = 0.379, indicating that there is a significant correlation between students’ habit of watching English movie and their vocabulary mastery. And from the results show that there is a significant correlation between the two variables, and it is important for teachers to know that watching English movies is a good medium for students to learn English, especially for students’ vocabulary mastery.

Morphology of Abdominal Aortic Aneurysms and Correlation with Biomechanical Tests of Aneurysmal Wall Fragments

Evaluate how specific morphologic aspects of abdominal aortic aneurysms (AAAs), including asymmetries, curvatures, tortuosities, and angulations, among others can influence the intrinsic biomechanical properties of the AAA's wall. This study analyzed the correlation of geometric measurements (1-dimensional, 2-dimensional, and 3-dimensional) of preoperative tomographic images of AAA with uniaxial biomechanical tests of the arterial wall fragments of these AAA obtained in open surgical repair of aneurysms. It was a multicenter, experimental, and observational study, and initially 54 individuals were selected who underwent open surgical of AAA, with valid biomechanical tests of the anterior wall of the AAA. Seven individuals were excluded because they had poor preoperative quality computed tomography scans and/or artifacts that impeded image segmentation and extraction of AAA geometric indices. The aortic fragments were subjected to uniaxial biomechanical destructive tests to obtain the following data: maximum load, failure stress, failure tension, failure strain energy, strain, and fragment thickness. In the same patients, preoperative computed tomography scans were performed with the extraction of 26 geometric indices, subdivided into 9 1-dimensional indices, 6 2-dimensional indices, and 11 3-dimensional indices. Data were subjected to statistical analysis using SPSS version28. Comparing ruptured and unruptured AAA, no statistical difference was observed between the biomechanical and geometric parameters. The fragment thickness of the ruptured AAA was lower than that of the unruptured AAA (P<0.05). By comparing tomographic geometric indices and biomechanical parameters of the aortic fragments using Pearson's coefficient, positive and linear correlations (P<0.05) were observed between the geometric variable maximum diameter (Dmax) of the AAA with maximum load (r=0.408), failure tension (r=0.372), and failure stress (r=0.360). Positive and linear correlations were also observed between the variable diameter/height ratio (DHr) and the maximum load (r=0.360), failure tension (r=0.354), and failure stress (r=0.289). The geometric variable DHr was dependent and correlated with Dmax. Simple regression analysis showed that R2 varied between 8.3% and 16.7%, and all models were significant (P<0.05). Dmax and DHr were linearly and positively correlated with the resistance parameters (maximum load, failure tension, and failure stress) of the AAA fragments. The DHr variable is dependent and correlated with Dmax. There was no correlation between the other geometric indices and the biomechanical parameters of the AAA wall. The asymmetries did not globally influence the biomechanics of AAA wall; however, they may influence regionally. Larger AAAs were stronger than smaller ones. Therefore, such findings may point toward Dmax is still the main geometric parameter, which influences the anterior wall, and possibly globally in the AAA.

Performance Evaluation and Comparative Analysis of Machine Learning Models on the UNSW-NB15 Dataset: A Contemporary Approach to Cyber Threat Detection

This research work utilizes the University of New South Wales Network Based 2015 (UNSW-NB15) dataset to investigate the dynamic nature of cyber threats, departing from the obsolete Knowledge Discovery and Data Mining competition 1999 (KDD Cup99) dataset. The data preparation pipeline consists of essential procedures aimed at ensuring the integrity and appropriateness of the data for analysis. The method begins by removing null values, thereafter, applying one-hot encoding to categorical features, min-max scaling for data normalization, and label encoding for efficient management of binary labels. The process of feature selection is conducted utilizing the Pearson coefficient correlation. An exhaustive evaluation is conducted on six machine learning models for the purpose of binary classification. The evaluation takes into account key performance measures like accuracy, precision, recall, and F1 score. The Random Forest model demonstrated exceptional performance, with a remarkable accuracy of 99% and a robust F1 score of 98%. Additionally, it exhibited a well-balanced precision and recall at 98%. The Support Vector Machine, Gradient Boosting, Logistic Regression, Decision Tree, and K-Nearest Neighbors models exhibit notable performance, achieving accuracy and F1 scores around at the 98% level. During our investigation into multi-class classification research, we thoroughly examined numerous machine learning models, all of which exhibited robust performance, with accuracy rates ranging from 97% to 98%. The aforementioned results highlight the efficacy of these models in accurately classifying data, regularly achieving high levels of precision, recall, and F1 scores for positive case predictions. This study offers a current viewpoint on the identification of cyber threats and emphasizes the appropriateness of several machine learning models in this rapidly changing field.

Heat transfer in flat tube car radiator with CuO-MgO-TiO2 ternary hybrid nanofluid

An investigation of the performance of a car radiator with CuO-MgO-TiO2 aqueous ternary hybrid nanofluid has been presented to elucidate the effect of nanoparticle concentration, flow rate, and frontal air velocity. The volume concentration of nanoparticles ranges from 0.1% to 0.5%. The effect of fluid inlet temperature, the coolant flow rate and the frontal air velocity on a flat tube radiator were investigated. The effectiveness of the radiator increases with increasing volume concentration as well as coolant flow rate. The coolant side heat transfer coefficient of 0.5% hybrid nano-coolant was 46% higher than the base fluid. The overall heat transfer coefficient was 7.65% higher than the base fluid. The friction factor and the pumping power both decrease with increasing fluid inlet temperature. The pumping power required for nano-coolant is 1.71 times the base fluid. A correlation for the overall heat transfer coefficient is also presented.

A New Method Development and Validation of 5α Reductase Inhibitor (Dutasteride) Using R-HPLC In Bulk and Pharmaceutical Dosage Form (Dexamethasone Use as An Internal Standard)

The proposed HPLC Method was found to be simple,precise,accurate and economicalfor the estimation of dutasteride in Bulk and tablet dosage form. The present work, developed HPLC method was found suitable and validated. Luna – C-18 (250 mm x 4.6 mm, 20 µL) column was used for the assay. Mobile phase was Acetonitrile and Water in the ratio 80:20. Linearity was established in the range of 5-100 µg/ml with a coefficient correlation of 0.9998 and eluents were monitored at 242 nm and at 1 ml/min. flow rate. The Retention time was found to be 5.9 min. The efficiency of the column, expressed as the number of theoretical plates for six replicate injections was 11566 ± 119.695 (%CV1.03%) and USP tailing factor was 1.25 ± 0.012 (%CV 0.79). The regression equation for the calibration plot was Y = 0.0618 X – 0.008. Intra-day precision from 0.166 to 1.449 and Inter-day precision from 0.186 to 1.449. The% recovery of dutasteride from API and dosage form were 100.70% and 99.66%. The drug was subjected to stress conditions such as Oxidative and Photodegradation, Considerable degradation was found to occure in acidic and basic medium on heating at 100°C but no degradation was observed at room temperature. The drug was exposed to 10% H2O2{heating at 100°C forming degradation product at RT: 2.557}. The LOD and LOQ was 0.257µg and 0.779 µg respectively.When the flow rate was reduced, the retention time of dutasteride increased.The assay result with analyst #1 and Analyst #2 were % Assay = 98.40% (%RSD = 0.13%) and % Assay = 99.07% (%RSD =0.53) respectively. Robustness and ruggednesswasobserved that results were well within acceptance limits of 98–102%, with %RSD ±2.0%, indicating the method is rugged and provides consistent and reliable results which are not affected by small changes in experimental conditions. This method can be used for routine analysis of dutasteride. Running Title: A New Method Development and Validation of 5α-Reductase inhibitor using R-HPLC.

Psychometric evaluation of the Spanish version of the Pediatric Quality of Life Eosinophilic Esophagitis Questionnaire (Peds QL-EoE Module ™)

BackgroundThe Paediatric Eosinophilic Oesophagitis Module (PedsQL-EoE) was developed in English as a valid and reliable questionnaire to assess health-related quality of life (HRQoL) in children with EoE. The aim of this study was to evaluate the validity and reliability of the PedsQL-EoE that was previously adapted to Spanish by our group.MethodsThis cross-sectional multicentre study was conducted in 36 paediatric gastroenterology units. Groups with and without dietary restrictions were studied separately. The PedsQL-EoE consists of 33 items divided into seven factors. Age-specific versions of the PedsQL-EoE were sent by e-mail to children and parents. Statistical analysis was used to study the questionnaire structure by means of exploratory factor analysis and interitem correlations. Confirmatory factor analysis (CFA) was applied to verify the proposed model as well as its psychometric properties through SMSR (standardized root mean square), outer loadings and R-square. To study construct validity and reliability, Cronbach´s alpha coefficient, convergent validity (AVE), discriminant validity (HTMT) and intraclass correlation coefficients (ICC) were used.ResultsA total of 341 children and 394 parents participated with 307 matched answers. The median age was 12 years, and 75% were male. The questionnaire structure explained 68% and 66% of the total variance for parents and children, respectively. Five items showed negative correlations and were removed from the questionnaire. CFA applied to the new model supported the following construct: SMRS was less than 0.08, outer loadings measured above 0.5, and R2 explained more than 89% of the total variance. Once the modifications were performed, good internal consistency was demonstrated, with Cronbach’s alpha values > 0.7, AVE values > 0.5 and HTMT < 0.9 with good child/parent agreement (ICC = 0.80). The most robust model of the PedsQL-EoE module was formed by seven factors: Symptoms I (6 items), Symptoms II (4 items), Treatment (4 items), Worries (3 items), Communication (5 items), Food and Eating (3 items) and Food Feelings (3 items).ConclusionsThe final PedsQL-EoE Module version, after the removal of five items, is a valid and reliable tool to be used in children with EoE. The Spanish validated version appears to be a useful instrument for measuring the impact of EoE on Spanish children´s quality of life.

Design and optimization of molten salt printed circuit steam generators

Among the array of heat exchangers available, printed circuit steam generators emerge as a particularly promising choice for high-temperature applications. This is primarily attributed to their augmented heat transfer surface area, which enables the efficient transfer of thermal energy within the Rankine power conversion cycle, especially in the context of molten salt-based thermal power systems, such as those employed in molten salt reactors and concentrated solar power plants. It is imperative to analytically model the heat transfer characteristics of mini-channel flow boilings for a printed circuit steam generator. To resolve new technical design issues that the single hot fluid flow channel is cooled by multiple cold fluid flow channels, an improved heat exchanger model is proposed to assist the numerical modeling of printed circuit steam generators for molten salt based on the equilibrium thermodynamics quality of water/steam flow. The existing flow boiling heat transfer coefficient correlations of mini-channels are leveraged to optimally design the straight-passage based printed circuit layouts and narrow down their optimal operational parameters. With various selections of subcooled water, saturated water, and superheated steam heat transfer correlations, The best combination of heat transfer correlations is found to assess the axial distributions of cold fluid temperatures and pressure drops. Two multi-objective optimizations are formulated to respectively solve thermal sizing and scaling problems for the optimal designs and operations of printed circuit steam generators. The computational results indicate that the overall heat transfer coefficient for an optimized 50 MW(th) printed circuit steam generator assessed at the transition point is about 3,828 W/(m2 K), which remarkably surpasses the 1,544 W/(m2 K) value of the conventional shell-tube steam generators by a factor of three. This implies that printed circuit steam generators would be a promising replacement of the traditional shell-tube steam generator.