Analytical Correlation Research Articles

The Relationship Between Breast Milk Coverage, Mother's Education Level, Sanitation Hygiene, and Infectional Diseases and Incidents Of Stunting In Toddler In Bangkalan District, East Java

Stunting remains a pressing global health issue, with 149 million children affected in 2020. In Bangkalan District, East Java, stunting prevalence reaches 25.2 percent, exceeding the provincial average of 19.2 percent. This study aimed to analyze factors influencing stunting, including breastfeeding coverage, maternal education, hygiene, and infectious diseases. Conducted from August to September 2023 in the Blega Health Center area, this analytical correlation study involved 35 toddlers aged 24–59 months selected through simple random sampling. Data were collected via questionnaires, anthropometric measurements, and interviews, then analyzed using chi-square tests in SPSS. The results revealed significant relationships between exclusive breastfeeding and stunting (p value is less than 0.05) and between infectious diseases (e.g., diarrhea and URTI) and stunting (p value is less than 0.05). Toddlers not exclusively breastfed were 0.2 times more likely to be stunted, and those frequently suffering from diarrhea had a 0.13 times higher risk. However, no significant association was found between maternal education or hygiene behavior and stunting (p value is more than 0.05). These findings emphasize the importance of promoting exclusive breastfeeding and preventing infectious diseases as key strategies to combat stunting. Complementary measures, such as improving hygiene and sanitation, remain critical to creating a supportive environment for child growth and development

Dukungan Keluarga Berhubungan dengan Personal Hygiene pada Lansia di Wilayah Kerja Puskesmas Binanga

Elderly refers to a condition where an organism has reached maturity in function and size and has undergone changes over time. Personal hygiene issues among the elderly often arise due to various physical, psychological, and environmental factors. Personal hygiene is a fundamental step in maintaining health, as a clean body can minimize the risk of contracting diseases, particularly those related to poor personal hygiene. The purpose of this study is to examine the relationship between family support and personal hygiene among the elderly in the Binanga Health Center working area. The research employed an analytical correlation design, emphasizing the relationship between variables or between independent and dependent variables. The study results indicate a significant relationship between family support and the personal hygiene of the elderly, as shown by the Chi-square test result with a p-value of 0.000 or α<0.05. This study demonstrates that elderly individuals who receive adequate physical, emotional, and informational support from their families tend to have better personal hygiene. These findings can serve as a foundation for developing elderly health programs, such as educating families on the importance of their support and role in maintaining the cleanliness of the elderly at the community level.

THE RELATIONSHIP BETWEEN PEER SOCIAL SUPPORT AND ANXIETY LEVELS IN STUDENTS AT SMK NEGERI 7 BATAM CITY IN 2024

The prevalence of anxiety in Indonesia is 3.7% in 2022. Anxiety in Batam City is 521 people with screening results for 15-18 year olds of 7,469 people in 2023. This research aims to determine the relationship between peer social support and anxiety levels in students. at SMK Negeri 7 Batam City in 2024. This research design is analytical correlation using a cross sectional approach. The population in this study was class XII students of SMK Negeri 7 Batam City in 2024, totaling 645 respondents. This research sample used a probability sampling technique, stratified random sampling, totaling 86 respondents. The design of this research was a peer social support questionnaire and the Revised Children's Manifest Anxiety Scale (RCMAS) anxiety questionnaire. Bivariate analysis in this study used the chi-square test. The research results showed that peer social support was 52.3% positive and 52.3% negative. 47.7%, normal anxiety was 65.1%, and clinical anxiety was 34.9%. The test results obtained a significant value of 0.002 < (0.005), so Ha was accepted, which means there is a relationship between social support from peers and the level of anxiety in students/ student of SMK Negeri 7 Batam City. In conclusion, positive social support from peers can reduce anxiety levels. The suggestions from this research are that it is hoped that students can better understand the importance of positive peer social support in order to avoid anxiety problems.

Correlation between stress and primary dysmenorrhea at SMAN 4 Kediri

Introduction: The physiological disorder experienced by most women in Indonesia every month is primary dysmenorrhea (60-70%). The incidence of primary dysmenorrhea was experienced by female students at SMAN 4 Kediri City, as many as (90.8%) of all female students. One factor is stress. Objective: Determine the relationship between stress and the incidence of primary dysmenorrhea at SMAN 4 Kediri City. Methods: This research used the Analytical research design correlation with a cross-sectional approach, a population of 258 students, and a simple random sampling with a sample of 39 female students. The instrument used was questionnaires, with Spearman rank correlation analysis. Result: The results of this study were moderate stress 28.2% and moderate pain dysmenorrhea 53.8%. Statistical tests showed the correlation coefficient of Spearman rank sig value was 0.030; there was a significant relationship with a reasonably strong relationship strength of 0.347. Stress is the cause of dysmenorrhea to prevent dysmenorrhea can be minimized by preventing stress. Conclusion: the higher the stress, the higher the risk of dysmenorrhea in female students at SMAN 4 Kediri City. The higher the stress level experienced by female students, the greater their risk of experiencing dysmenorrhea (menstrual pain). This suggests that psychological factors such as stress can affect physical health conditions, particularly related to menstrual disorders in adolescent girls. To reduce the risk of dysmenorrhea, it is important to pay attention to stress management in students.

The Effect of Profitability & Market Value on Market Capitalization of the Listed Insurance Companies of Jordan (2010-2023)

The main objective of this study is to find the effect of profitability & market value on market capitalization of the listed Insurance Companies of Jordan (2010-2023). The research data were collected from secondary sources; the descriptive analytical method was used. The financial statements of the sample banks were analyzed to extract the main ratios used for the study. This study employed a quantitative research design with an explanatory approach. The sample included all publicly listed insurance companies. The descriptive analytical method and correlation analysis were followed to test the effect of independent variables (profitability & market value) on the dependent variables (market capitalization). The results indicated that, market capitalization is most strongly influenced by the Market-to-Book (M/B) ratio, with a significant positive impact. ROA has a weak but positive impact on market capitalization. ROE and P/E ratio do not significantly affect market capitalization in this analysis.

Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel

Non-probabilistic convex models are powerful tools for structural model updating with uncertain‑but-bounded parameters. However, existing non-probabilistic model updating (NPMU) methods often struggle with detecting parameter correlation due to limited prior information. Worth still, the unique core steps of NPMU, involving nested inner layer forward uncertainty propagation and outer layer inverse parameter updating, present challenges in efficiency and convergence. In response to these challenges, a novel and flexible NPMU scheme is introduced, integrating analytical correlation propagation and parallel interval bounds prediction to enable automatic detection of parameter correlations. In the forward uncertainty propagation phase, a linear coordinate transformation is applied to map the original parameter space to a standard hypercube space, simplifying correlation-involved bounds prediction into conventional interval bounds prediction. Moreover, an analytical correlation propagation formula is derived using a second-order response approximation to sidestep the complexities of geometry-based correlation calculations. To expedite forward propagation, a derivative-aware neural network model is employed to replace the physical solver, facilitating improved fitting capabilities and automatic differentiation, including the calculation of Jacobian and Hessian matrices essential for correlation propagation. The neural network's inherent parallelism accelerates interval bounds prediction through parallel computation of samples. In the inverse parameter updating phase, the block coordinate descent algorithm is embraced to narrow the search space and boost convergence capabilities, while the perturbation method is utilized to determine the optimal starting point for optimization. Two numerical examples illustrate the efficacy of the proposed method in updating structural models while considering correlations.

Predicting ignitability classification of thermally thick solids using hybrid GA-BPNN and PSO-BPNN algorithms

Two hybrid binary classification models combining the merits of GA (genetic algorithm) and PSO (particle swarm optimization) with BPNN (backpropagation neural network) are proposed to estimate the ignitability of thermally thick solids. A 1D numerical model verified by analytical correlation and experimental measurements is employed to yield training, validation and testing datasets. Surface absorptivity (ε), density (ρ), specific heat (Cp), thermal conductivity (k), critical temperature (Tcri), and incident heat flux (HF) which are highly related to solid ignition are selected as inputs, and ignitability serves as output. A one-hidden-layer BPNN is first constructed, and then GA and PSO are encoded to form GA-BPNN and PSO-BPNN where connection weights and biases are optimized by GA/PSO and the predicted error serves as objective function of GA/PSO. Results show that the optimal neuron number in hidden layer is 34. Compared to BPNN, GA-BPNN and PSO-BPNN feature higher accuracy but more training time. Accuracy and convergence efficiency of PSO-BPNN are higher than GA-BPNN, nevertheless GA-BPNN exhibits better robustness. Predictive accuracies of BPNN, GA-BPNN, and PSO-BPNN on testing dataset are 99.05%, 99.55%, and 99.55%, respectively. ROC (receiver operating characteristic) curves are plotted to rank the performance of the three models, revealing 0.5 is an appropriate threshold to classify ignitability. Feature importance of the models is analyzed using PI (permutation importance) and MIV (mean impact value) methods. It is found HF and Tcri are the most important two inputs followed by ε, while ρ, Cp, and k show least and approximately identical impact. Reliability of the three models is verified by predicting critical heat flux of ignition of three polymers, and good agreement with literature is observed.

B-043 Q-nab™ Igg kit: verification and validation of a novel cell-free quantitative neutralizing antibody assay

Abstract Background As the world exits the COVID-19 pandemic era, it is very important to assess population-level and individual seroprotectivity against multiple circulating and emerging SARS-CoV-2 strains, especially in vulnerable populations. Current serological measurements for neutralizing antibodies (NAbs) are either done using complex and time-intensive pseudovirus- or micro-neutralization assays or as a high throughput competitive ELISA assay. These assays, by design, cannot be multiplexed to measure NAb titers against multiple strains and suffer from a limited dynamic range. The Q-NAb IgG Tests, which rely on blocking the non-neutralizing antibodies (NNAbs) using a novel fusion protein, were developed and validated to quantitatively measure NAb titer against the SARS-CoV-2 strains used to develop the first two mRNA vaccines viz. ancestral and BA.4/5 strains. Methods The Q-NAb assay measures the NAb titer in a sample by first sequestering the NNAbs using the fusion protein (made by covalently coupling SARS-CoV-2 BA.4/5 RBD and h-ACE2 protein) thereby enriching the NAbs in the sample. Variant-specific NAbs are then detected using an indirect ELISA where the wells are coated with the variant RBD and yield a signal that is directly proportional to the concentration of NAb. Clinical samples from subjects that have either had a SARS-CoV-2 infection (N=27), taken the initial vaccine series (N=123) and/or the bivalent booster (N=151) and pre-pandemic samples (N=29) were commercially sourced. Q-NAb NAb titers were measured using the ancestral and BA.4/5 kits and were compared against corresponding MN50 values using both parametric and non-parametric models. Single-site precision, low-end sensitivity, dilutional linearity, and interference screening of Q-NAb IgG Kits were evaluated in accordance with appropriate CLSI guidelines. Traceability and total uncertainty of the Q-NAb IgG Kits (Ancestral and BA.4/5) to WHO International Standard 21/340 and 21/338 respectively was established using a calibration hierarchy adapted from ISO 17511:2020. Results Both the ancestral and BA.4/5 Q-NAb IgG Test Kits correlated with MN50 titers with a Spearman correlation coefficient of 0.90 and 0.89 respectively. The total uncertainty in traceability of calibration to WHO International standards 21/340 and 21/338 was found to be less than 10% for both tests. Single site precision across the assay range for BA.4/5 kit was found to be 6-10% with a limit of quantitation of 312 IU/mL. Assays exhibited dilutional linearity across their respective dynamic range and had no significant interference from common endogenous and exogenous substances. Conclusions We have successfully validated the novel Q-NAb IgG neutralization assay platform as individual assays for measuring neutralizing titers against ancestral and BA.4/5 SARS-CoV-2 strains. The assays have expanded dynamic range, excellent analytical performance and correlation to accepted gold-standard microneutralization assays. Both assays are calibrated and traceable to WHO international standards, thereby enabling the compilation and comparison of data from multiple clinical cohorts run across multiple laboratories. The design of the Q-NAb IgG Test kit makes it amenable to multiplexing (for example, on an MSD platform) to assess neutralization titers against multiple variants at the same time. Such a multiplexed platform can be used to assess vaccine efficacy and seroprotection against multiple variants including emerging variants.

TAWC: Text Augmentation with Word Contributions for Imbalance Aspect-Based Sentiment Classification

Text augmentation plays an important role in enhancing the generalizability of language models. However, traditional methods often overlook the unique roles that individual words play in conveying meaning in text and imbalance class distribution, thereby risking suboptimal performance and compromising the model’s generalizability. This limitation motivated us to develop a novel technique called Text Augmentation with Word Contributions (TAWC). Our approach tackles this problem in two core steps: Firstly, it employs analytical correlation and semantic similarity metrics to discern the relationships between words and their associated aspect polarities. Secondly, it tailors distinct augmentation strategies to individual words based on their identified functional contributions in the text. Extensive experiments on two aspect-based sentiment analysis datasets demonstrate that the proposed TAWC model significantly improves the classification performances of popular language models, achieving gains of up to 4% compared with the case of data without augmentation, thereby setting a new standard in the field of text augmentation.

The Relationship of Sleep Quality with Severity Level Acne Vulgaris in Students Aged 17-21 Years Faculty of Dentistry Prima Indonesia University

Acne vulgaris is chronic inflammation of the sebaceous glands. Many factors cause acne vulgaris, one of which is sleep quality. Poor sleep quality will cause an increase in androgen hormones which are associated with an increase in the incidence of acne vulgaris. Purpose: This study aims to determine the relationship between sleep quality and the severity of Acne vulgaris in students aged 17-21 years. This research is an analytical observational research with a cross-sectional method and sampling using a purposive sampling method. Research instruments using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and the severity of acne vulgaris using the Lehmann classification. The result showed that of the 70 samples collected, there were 9 men and 61 women. There were 30 people with mild degree acne, 37 people with moderate degree and 3 people with severe degree. Based on sleep quality, there were 24 people with good sleep quality and 46 people with poor sleep quality. The results of Spearman's analytical correlation showed that there was a relationship between sleep quality and the severity of Acne vulgaris (P-value = 0.005). So, it can be concluded that sleep quality is related to the severity of Acne vulgaris in students aged 17-21 years.

Parents' Challenges To Stop School-Age Children From Developing An Internet Addiction Through Conscious Parenting And Parental Mediation

Background: In today's digital age, many millennial parents experience conflicts with their children, which can lead to a lack of proper guidance. This often occurs when parents, feeling helpless, try to curb their children's excessive internet use, potentially reducing symptoms of internet addiction. In the context of elementary school students, the purpose of this research is to investigate the relationship between attentive parenting, parent mediation, and dependency on the Internet. Methods: This investigation makes use of a cross-sectional design in conjunction with an analytical correlation approach. The sample consists of 119 parents of elementary school students, selected from a population of 169 through purposive sampling. Data were gathered using three questionnaires: the parental model, meditation in parenthood, and online addiction tests. Internet addiction, attentive parenthood, and parent arbitration are investigated. Spearman's Rho was used for data analysis. Result: The results indicated a strong association between parenting intervention and internet addiction, as shown by the Rank Spearman statistical test showing ρ = 0.000 < α = 0.05. Furthermore, the statistical test revealed that the correlation coefficient (ρ) was 0.000, which is less than the significance level (α) of 0.05. This indicates a substantial association between attentive parenting and internet addiction. Conclusion: Internet addiction in primary school-aged children may be avoided with the support of attentive parenthood and mediation by parents. To reduce their child's risk of addiction, parents should supervise their children's internet usage and adopt good parental techniques.

HUBUNGAN TINGKAT PENGETAHUAN DENGAN PERILAKU PERAWAT DALAM PENYUSUNAN DISCHARGE PLANNING DI RUANG RAWAT INAP RUMAH SAKIT SWASTA YOGYAKARTA

Discharge planning is a continuous process to prepare post-hospitalization patients so they can carry out independent care. Nurse knowledge is one of the factors that influences the implementation of discharge planning. The research aims to analyze the relationship between the level of knowledge and the behavior of nurses in preparing discharge planning in inpatient rooms at private hospitals in Yogyakarta. This research uses descriptive analytical correlation with a cross sectional approach. Samples were taken using purposive sampling as many as 33 respondents with data analysis using the Spearman Rank test. The research instrument used questionnaires and observations of patient medical records. The research results showed that the level of nurses' knowledge regarding discharge planning was in the good category (76%). The behavior of nurses in preparing discharge planning was good (73%). Analysis between the level of knowledge and behavior of nurses in preparing discharge planning with a p value of 0.007 and strength of correlation (r) 0.460. There is a relationship between the level of knowledge and the behavior of nurses in preparing discharge planning. It is recommended that nurses increase their knowledge, especially in preparing patient discharge planning, by increasing their knowledge independently via the internet, attending training or seminars related to discharge planning.

The Predictive Ability of Self-Compassion in Conflict Management among Couples

The study aimed to identify the predictive ability of self-compassion in conflict management among couples in Karak Governorate. The descriptive analytical correlation methodology was chosen, and the self-compassion scale was developed, and the conflict management scale was adapted, and the current study was applied to a sample of newly married teachers in public and private schools. Their number reached (133) newly married, and the results of the study indicated that there is an average level of self-compassion and conflict management among newly married couples, and there is a correlation between self-compassion and conflict management. The results also indicated that the dimensions of self-compassion predict (43%) of managing conflict, and that self-compassion and conflict management do not differ depending on the gender of the teacher..

Applying a heat transfer mathematical model for the cryopreservation of rainbow trout (Oncorhynchus mykiss) sperm: How straw location over liquid nitrogen level affects freezing rate and fertilization yield

Cryopreservation of rainbow trout semen under field conditions was analyzed. Straw location over liquid nitrogen level is a crucial variable that affects freezing rate and fertilization yield due to changes in nitrogen vapor external temperature. The objectives were: to analyze cryopreservation protocols by experimentally measuring the cooling rates and fertilization yield of 0.5 ml plastic straws located in nitrogen vapor at different heights corresponding to different external temperatures; to numerically simulate the freezing process, by solving the heat transfer partial differential equations with the corresponding thermo-physical properties of the biological system and the plastic straw; to evaluate and analyze the surface heat transfer coefficient (h) during the freezing process of the straws; to introduce a new variable, the characteristic freezing time (tc), that enables comparison between protocols; this variable was defined as the elapsed period between the initial freezing temperature and a final reference temperature of −40 °C (temperature in which more than 80 % of the water is in a frozen state). The mathematical model predicted the temperature distribution inside the straw, showing a low effect of straw plastic materials (polyethylene-terephthalate glycol, polyvinyl-chloride, and polypropylene) on freezing rates. The average h value obtained from numerical simulations was 25.5 W/m2 K, close to that obtained from the analytical Nusselt correlation for natural convection. An improvement on fertilization trials was observed when the average external nitrogen temperature was −129.6 °C (temperature range: −94 to −171 °C) with an average tc of 56.8 s (ranging between 47 and 72 s). These results corresponded to a height above the level of liquid nitrogen of 2 cm. Comparison with literature reported data showed satisfactory results. Applying mathematical models in the cryobiology field achieved results that are relevant for cryopreservation activities.

The influence of the performance of livestock farming groups on the development of government assisted livestock populations in Lima Puluh Kota District

This research is motivated by the increasingly vital role of farmer groups. The government stipulates that almost all assistance is provided through group mechanisms. This study aims to: (1) indentify farmer groups performance, (2) determine livestock population development, (3) determine the effect of farmer groups performance on livestock population development. This research was conducted in November-December 2022 in livestock farmer groups receiving government assistance in Lima Puluh Kota District in 2018-2022. The research areas were Harau and Payakumbuh sub-districts. The data were analyzed descriptively and quantitatively based on the government guideline for assessing the ability of farmer group classes issued by the Indonesian Ministry of Agriculture’s Agricultural Human Resources Development and Extension Agency 2018 and to identify the effect of using analytical methods product moment correlation. The results showed that: (1) The average performance of farming groups was in a poor position, namely with a value of 213.1 or being in the beginner class category, (2) The development of the livestock population with government assistance in farmer groups was an increase of 3.6% a year, (3) Farmer groups performance has not have a significant effect on the development of the livestock population in Lima Puluh Kota District.

PENGARUH PENDIDIKAN KESEHATAN TERHADAP TINGKAT PENGETAHUAN TENTANG PENCEGAHAN KOMPLIKASI PENYAKIT HIPERTENSI DI DESA GAREN PANDEYAN NGEMPLAK BOYOLALI

Introduction: Hypertension is a condition of systolic blood pressure of more than 140 mmHg or diastolic blood pressure of more than 90 mmHg, which is measured twice with an interval of five minutes and in a condition of adequate rest and calm. Blood pressure is a description of a person's hemodynamic situation at a certain time, hemodynamics is a condition in which pressure and blood flow can maintain the exchange or perfusion of substances in tissues. The purpose of health education is to increase the knowledge of respondents. With the increase in respondents' knowledge, there is a change in attitude towards adaptive in accordance with the information obtained through health counseling. Objective: This study is to determine the effect of health education on the level of knowledge about the prevention of complications of hypertension in Garen Pandeyan Ngemplak Boyolali Village. Method: the research used is quantitative research with analytical correlation with Quasi-Experimental method with pre-test and post-test approaches one group control only. Data from this study was obtained from filling out questionnaires that had been tested for validity and reliability and analyzed using the Wilcoxon Signed Ranks Level Test before health education was carried out knowledge about preventing complications of hypertension, the average level of knowledge of 73 respondents was 5.94 with a minimum of 3 points and a maximum of 9 points. The level of knowledge after the implementation of health education, retrieval of knowledge data on the prevention of complications of hypertension was carried out. Results: The results of the study obtained an average level of knowledge from 73 respondents with post-test result criteria 7 with a minimum score of 6 points and a maximum of 10 points. Conclusion: Based on the results of the study, there is a significant difference between the level of . Keywords: health education, leve of knowledge, complications of hypertension

The relationship between interpersonal sensitivity and relational aggression with the mediating role of resilience in married people with multiple sclerosis

Purpose. This study aimed to investigate the relationship between interpersonal sensitivity and relational aggression with the mediating role of resilience in married people with multiple sclerosis (MS). Materials and methods. This research was a cross-sectional analytical correlation study. In this study, 234 people with MS were selected by convenience sampling method and responded to the research questionnaires. In order to collect data, the couple relationship aggression and victimization scale (CRAViS), interpersonal sensitivity scale (IPSM), and resilience scale (CD-RISC) were used. Results. The results showed that the proposed model has good processing (ꭕ2/df=1.29, CFI=.98, RMSEA=.03). Path analysis results showed that interpersonal sensitivity didn't have a significant direct effect on communicative aggression (β=.132, p=.096); But interpersonal sensitivity has a negative and significant effect on resilience (β=-.803, p=.001) and resilience has a negative and significant effect (β=-.575, p=.001) on communicative aggression. Based on this, it can be said that resilience plays a full mediating role between interpersonal sensitivity and relational aggression (β=.461, p=.001). Conclusion. Overall, it can be concluded that interpersonal sensitivity, due to its negative on resilience, can increase aggressive behaviors in people who suffer from MS, based on this, the implementation of educational and therapeutic interventions for the Improvement of interpersonal sensitivity and resilience is suggested.

Method for optical proximity correction based ona vector imaging model.

Optical proximity correction (OPC) has become an indispensable step in integrated circuit manufacturing. It requires a huge amount of calculation to obtain a sufficiently accurate OPC model and implement pattern correction. In this paper, the authors proposed an edge-based OPC method built on a vector imaging model, where the analytical correlation between the cost function and movement of each edge segment is established by the chain rule. First, the mask pattern is segmented and downsampled to get the mask image in order to reduce the total data. Second, the aerial image, various parameters on each evaluating point, and the final cost value are obtained in proper sequence. In each part of the OPC process, the procedures of solution and derivation are both recorded. After obtaining the cost value, the chain rule is applied, by which the differential relation between the cost value and movement of each segment is built. According to this differential relation, the next movement of each segment is decided under a quasi-Newton method. All results obtained by the proposed method are compared with results from commercial software. The comparison shows that the proposed OPC method has good OPC accuracy in few iterations.

On the discrepancies between POD and Fourier modes on aperiodic domains

The application of Fourier analysis in combination with the Proper Orthogonal Decomposition (POD) is investigated. In this approach to turbulence decomposition, which has recently been termed Spectral POD (SPOD), Fourier modes are considered as solutions to the corresponding Fredholm integral equation of the second kind along homogeneous-periodic or homogeneous coordinates. In the present work, the notion that the POD modes formally converge to Fourier modes for increasing domain length is challenged. A family of analytical correlation functions parametrized by the Taylor macro/micro scale ratio (MMSR) is investigated numerically. The results of the analysis indicate that the discrepancy between POD and Fourier modes along locally translationally invariant coordinates is coupled to the MMSR of the flow. Increasing discrepancies are observed for smaller MMSRs, which are characteristic of low Reynolds number flows. The asymptotic convergence rate of the eigenspectrum matches the corresponding convergence rate of the exact analytical Fourier spectrum of the kernel in question, even for extremely small domains and small MMSRs where the corresponding DFT spectra suffer heavily from windowing effects. The Taylor micro scales are consistently underestimated when reconstructed using Fourier modes—failing to converge to the correct value even if all Fourier modes are used—while these are accurately reconstructed using POD modes.

The Relationship of Nurse Response Time with Patient Satisfaction BPJS at the Emergency Installation of the Bayukarta Hospital Karawang

One of the quality indicators in measuring the performance of the Emergency Department (IGD) is the response time of patient services in the ER, namely the speed of patient treatment which is calculated from the time the patient arrives until he receives treatment in less than 5 minutes (Decree of the Minister of Health of the Republic of Indonesia No: 856/Menkes/SK /IX/2009). Response Time of nurses in handling emergencies quickly and appropriately will increase satisfaction for patients and families of BPJS Health patients. The aim of this research is to determine the relationship between nurse response time and BPJS Health patient satisfaction in the emergency room at Bayukarta Karawang Hospital. This research uses descriptive analytical correlation research with a cross sectional design. The instruments used in this research used a patient satisfaction questionnaire sheet and a response time observation sheet. The sample in this study was 81 respondents from BPJS Health patients, using accidental sampling technique. Results. Statistical tests use the Chi square test. The results of the analysis using the Chi square statistical test obtained the Asymp value. Sig. (2 tailed) of 0.00. Because the value of Asymp. Sig. (2 tailed) < α (α = 0.05), The conclusion of this research is that there is a relationship between nurse response time and BPJS Health patient satisfaction in the installation at the Bayukarta Karawang Hospital ER. It is hoped that this research can be used to develop further research into researchers who are interested in developing research in the field of emergency nursing, especially regarding nurse responsiveness and patient satisfaction.