Rank Analysis Research Articles

Gender influences on learners’ willingness to communicate in English using computer mediated communication tool

Many Malaysian students struggle with English communication after 11 years of learning from primary school to secondary school. Despite extensive research, there is a gap in gender-based studies on learner's willingness to communicate (WTC) in Malaysian settings. Prior findings also reveal that early teens are getting actively engaged in digital communication in the current cyber age and those indications have derived the present study to investigate on the influence of gender and the effectiveness of CMC tool in fostering WTC in English. 224 secondary school students' WTC was measured using a survey to ascertain the influence of gender, and the effectiveness of the CMC tool in raising students' WTC in English was examined using a non-equivalent quasi-experimental study. The survey's Mann Whitney U-test results show male and female learners' WTC significantly differ from one another (U = 5171.5, p = 0.03). Analysis of mean rank reveals that female has higher WTC than male. While using the CMC tool, learners' WTC significantly differs from those who learn in a regular classroom setting (U = 605, p = 0.01), based on findings of a non-equivalent quasi experimental study. The analysis revealed that both genders were more likely to communicate in English and were more involved in their learning, partly due to their ability to express opinions verbally and through text, emoji, and other forms of communication. The study also showed that a person's WTC is influenced by their personality, and gender did influence willingness to communicate in English in the Malaysian context.

The Analysis of Critical Success Factor Ranking for Artificial Intelligence Adoption in Banking Sector using Fuzzy Analytic Hierarchy Process

The Analysis of Critical Success Factor Ranking for Artificial Intelligence Adoption in Banking Sector using Fuzzy Analytic Hierarchy Process

Human resources development in farming and fisheries for food security

The article delves into the issues of providing food security in the Maldives, a nation that regularly faces adverse weather conditions and natural disasters. These challenges include tsunamis, heavy rainfall, and strong winds that damage infrastructure, fishing vessels, agricultural land, contaminate freshwater resources and wash away entire islands during the monsoon season. The research purpose was to support workforce development to compensate for shortage of natural and technical resources in farming and fisheries. The explored data was collected from Maldives Bureau of Statistics. The applied statistical and clustering methods proved that training in farming should share knowledge of cutting-edge technologies like Hydroponics and Pest control, benefit female farmers, involve the youth in local agriculture and be evenly distributed among the Atolls. The study findings based on ranking and trend analysis argue that unstable employment is the paramount problem in fisheries. It is recommended to optimize a number of fishermen per vessel by Atolls and promote acquiring skills of advanced eco-friendly fishing. Overall research results created a reliable foundation for systematic development of qualified human resources in farming and fisheries that are crucial for strengthening food security in a risky environment.

Critical Contingency Analysis: Enhancing Stability in Nigeria's 330kv Grid

This study presents a contingency ranking analysis for the Nigerian 330kV power system using ETAP software. The network model, consisting of 65 buses, 120 transmission lines, 16 generators, and 14 loads, was evaluated to identify critical contingencies affecting system performance. Results indicate that the outage of the M2S line poses the most significant threat to grid stability, while the SAPELE NIPP generator failure has negligible impact. Recommendations focus on enhancing system resilience through load management, network restructuring, and renewable energy integration. Limitations of the study include model simplification and software dependency, suggesting areas for future research expansion

Amyloidosis and Heart Transplantation in a New Era.

The prognosis in patients with advanced cardiac amyloidosis (CA) remains poor. We sought to describe survival post heart transplantation (HT) in amyloid compared with non-amyloid recipients, highlight waitlist times within the new allocation system across three Organ Procurement and Transplantation Network (OPTN) regions, and describe multiorgan transplantation (MOT) in hereditary amyloidosis. This is a retrospective review of end-stage CA patients who underwent HT at Mayo Clinic from January 2007 to December 2020. Wait time was compared in the new versus old OPTN allocation era starting December 18, 2018 by Wilcoxon rank sum test. All-cause mortality for those with and without CA was compared using Kaplan-Meier estimates with log rank analysis, censoring December 16, 2022. Fifty-five patients with CA underwent HT between 2007 and 2020, 8 light chain amyloidosis (AL) (14.5%), 28 hereditary transthyretin (ATTRv) (50.9%), 17 wildtype transthyretin (ATTRwt) (30.9%), and 2 hereditary apolipoprotein A1 (AApoA1) amyloidosis patients (3.6%). No significant difference in overall survival post-transplant was seen in amyloid compared with non-amyloid (p = 0.816). Median time to HT was shorter in the new system, 45 days (IQR 24, 78) versus 174 days (IQR 76.5, 483.5), p = 0.006. There was a decline in MOT in hereditary amyloidosis over time with the concomitant rise in disease-targeted therapies. HT survival in CA patients was similar to non-amyloid patients. The new allocation system benefits this cohort with shorter wait times. There is less MOT in hereditary amyloidosis with increased utilization of disease-targeted therapy.

Hyperplane-Assisted Multi-objective Particle Swarm Optimization with Twofold Proportional Assignment Strategy

In the simultaneous optimization of multiple objectives, how to balance convergence promotion and diversity preservation in the evolutionary process is a key and challenging problem. In this research, a hyperplane-assisted multi-objective particle swarm optimization with a twofold proportional assignment strategy (tpahaMOPSO) is suggested to ameliorate the optimization performance of MOPSO. First, the external archive is maintained in combination with hyperplane-based convergence evaluation and shift-based density estimation to retain high-quality candidate solutions. Second, a twofold proportional assignment scheme is designed to search the surrounding region of candidate solutions with better potential to emphasize convergence and diversity, respectively. Third, the domination relationship and convergence difference are combined to select a more reasonable individual historical best and reduce the risk of particle aggregation. Finally, the proposed tpahaMOPSO was compared with ten representative and advanced multi-objective optimization algorithms on 22 widely used test functions with different characteristics. The simulation results present that the developed tpahaMOPSO got the best result in 11 benchmark functions for both IGD and HV criteria. Concurrently, the Friedman test was applied for ranking analysis and the proposed algorithm also obtained excellent statistical analysis results. The promising performance and strong competitiveness of the proposed tpahaMOPSO have been verified by different experimental studies.

Efficacy of aerobic exercise for HIV-associated neurocognitive disorders receiving ART: An RCT

Background: HIV-associated neurocognitive disorder (HAND) affects an individual’s capacity for independence and engagement in everyday activities, posing challenges in environments with limited resources and low social support.Objectives: To ascertain the efficacy of exercise (AE) for activity and participation (AP) level in people with HAND.Method: This is a randomised controlled trial that is parallel-group in nature, with intention-to-treat analysis and disguised allocation. Seventy-three people with HAND in total were randomised at random to the AE and control groups. Three 20 -60-min sessions of moderate-intensity AE training on a cycle ergometer were included of the 12-week intervention. Individual tolerability served as the basis for progression. Three months after the intervention, at the conclusion of the intervention, and at the baseline, outcomes were measured. The AP constitutes the main outcome variable. To investigate the impact of AE on AP level, rank analysis of covariance was performed after log-transformation.Results: When comparing the AE to the control group, there were significant increases in social wellbeing AP (Cohen d = 0.550; p = 0.021), emotion AP (Cohen d = 0.641; p = 0.007) and overall AP level (Cohen d = 0.896; p 0.001). There was no discernible variation in AP across the groups three months following AE (Cohen d = 0.437; p = 0.067).Conclusion: AE induces a small increase in AP among individuals with HAND.Clinical Implications: For people with HAND, regular AE is a good way to manage AP restriction. Increasing AE participation may improve AP restriction.

Challenges and Opportunities in Pineapple and Cabbage Cultivation in Nagaland: A Garrett Ranking Analysis

India’s horticulture sector, a significant contributor to the nation’s economy has experienced substantial growth, particularly in states like Nagaland. This study examines the growth and challenges faced by the horticulture sector in Nagaland, with a particularly emphasis on fruit and vegetable cultivation. Despite horticulture sector being a significant component of the state’s economy, the sector has experiences periods of negative growth particularly between 2011-12 and 2017-18. Taking a sample survey of 120 farmers, the study aims to analyse the farm sizes, productivity and the challenges faced by the farmers associated with the decline. Both Pineapple and Cabbage farmers face common challenges such as pest and disease management and ineffective pricing systems. However, pineapple farmers also struggle with inadequate credit facilities, while cabbage farmers face additional issues with irrigation infrastructure. The findings suggest that targeted interventions, such as upgrading infrastructure, improving farm practices, and expanding market access, are crucial for revitalising the sector. The research provides valuable insights for policymakers and stakeholders to formulate strategies that can address these challenges, support sustainable growth, and ultimately strengthen the horticulture sector in Nagaland.

Comparison of antifungal drugs in the treatment of invasive pulmonary aspergillosis: a systematic review and network meta-analysis.

Voriconazole, isavuconazole, and amphotericin (AmB) formulations are currently recommended to treat invasive pulmonary aspergillosis (IPA). We aimed to estimate the efficacy of different antifungal drugs in the initial treatment of IPA. We included all available randomized controlled trials (RCTs) evaluating first-line treatments for IPA by searching PubMed, Medline, EMBASE, the Cochrane Library, and the ClinicalTrials.gov database. We performed a network meta-analysis to compare the relative efficacy of different drugs in treating IPA. The primary outcomes were the overall response and all-cause mortality (ACM). Eight studies were identified that compared different drugs including voriconazole, isavuconazole, posaconazole, anidulafungin, liposomal AmB (L-AmB) at standard, high and low doses (3-5 mg/kg/d; 10 mg/kg/d; 1 mg/kg/d), AmB deoxycholate (dAmB) and amphotericin B colloidal dispersion (ABCD). We found that second-generation triazole antifungal drugs containing voriconazole, isavuconazole, and posaconazole exhibited significantly superior overall response to dAmB and ABCD. Voriconazole was ranked as the best drug on network rank analysis. We found no difference in efficacy between triazole antifungals and L-AmB. A combination of voriconazole with anidulafungin, isavuconazole and voriconazole showed significantly better safety than dAmB. The efficacy of second-generation triazole antifungal drugs for the first-line treatment of IPA is comparable with L-AmB and is better than both dAmB and ABCD. Isavuconazole may show better safety than voriconazole and posaconazole. Combination therapy with voriconazole and anidulafungin may serve as an alternative option for IPA patients with limited drug tolerance. https://inplasy.com/.

A Genetic Particle Swarm Optimization with Policy Gradient for Hydraulic Fracturing Optimization

Summary Particle swarm optimization (PSO) has been widely developed and applied as one of the important algorithms for optimization problems because of its few control parameters and low complexity. However, conventional PSO has the problem of premature convergence. Most of the control parameters of optimized PSO are adjusted manually, and the technology of adaptive adjustment based on reinforcement learning (RL) is still immature. Therefore, this study proposes a new genetic PSO (GAPSO) with policy gradient (PGGAPSO). The algorithm constructs a strategy neural network as an agent to dynamically output the action probability distribution and passes the action with the highest selection probability to the GAPSO section through the designed action selection function, thereby updating the parameters. The GAPSO section solves the optimization problem based on the new parameters obtained and uses the individual and global optimums obtained from the iterations as inputs to the policy neural network. In addition, an elite strategy is introduced to enhance the exploration capability of the PGGAPSO. Then, the performance of PGGAPSO was comprehensively evaluated using convergence analysis, statistical tests, Friedman rank, and runtime analysis. Finally, PGGAPSO is applied to the construction parameter optimization of hydraulic fracturing. The results show that due to the influence of the number of samples, the optimization performance of PGGAPSO is general in the early stage of iteration but shows excellent with continuous iteration. For unimodal and most of multimodal functions, PGGAPSO shows significant difference and excellence. Additional processes, such as elite strategy and policy gradient (PG), resulted in a 7.3% increase in runtime for PGGAPSO compared with GAPSO, but this additional computational loss is acceptable relative to the improved accuracy. The algorithm does not require an objective function and can be combined with the complex agent model of hydraulic fracturing to optimize the fracturing parameters. In the case of parameter optimization for hydraulic fracturing in the Jimsar sag, the optimized production was increased by more than 10% on average.

Patterns of Care in Adjuvant Radiation Therapy for Stage II Endometrioid Endometrial Adenocarcinoma: a National Cancer Database Analysis

PurposeTreating stage II endometrial cancer involves total hysterectomy, bilateral salpingo-oophorectomy (TH/BSO), and risk-adapted adjuvant therapy. Professional guidelines support various adjuvant treatments, but high-level data supporting specific options are conflicting. We sought to evaluate adjuvant radiation (RT) trends for these patients, hypothesizing increased utilization of external beam pelvic radiation (EBRT) over time. Methods and MaterialsPatients diagnosed in 2004-2019 with stage II endometrioid endometrial cancer who underwent TH/BSO and surgical staging were identified in the National Cancer Database. Patient characteristics per adjuvant RT received were compared using Wilcoxon Rank Sum and analysis of variance testing. Multivariable regression analysis (MVA) identified variables associated with EBRT, vaginal brachytherapy (VBT), or RT omission. P-value <0.05 was significant, except in MVA where Bonferoni correction was employed (p-value <0.017). ResultsPatients meeting criteria totaled 18,798; 19% received adjuvant EBRT alone, 25% VBT alone, 24% EBRT+VBT, and 32% no RT. Adjuvant RT use increased from 2004-2019, particularly EBRT+VBT (p<0.05). On MVA, community hospital treatment (OR 1.8, p<0.001) Midwest location (OR 1.2, p=0.02), single-agent chemotherapy receipt (OR 6.9, p<0.001), lympho-vascular space invasion (LVSI) (OR 1.4, p<0.001), and positive surgical margins (+SM) (OR 1.8, p<0.001) were positively associated with EBRT. No variables were positively associated with VBT. Black race (OR 1.2, p=0.03), community hospital treatment (OR 1.4, p=0.04), South (OR 2.2, p<0.001) or West (OR 2.1, p<0.001) location, distance >50 miles from treatment center (OR 1.5, p<0.001), and grade 2 (OR 1.2, p<0.001) or 3 (OR 1.3, p=0.01) disease were associated with RT omission. ConclusionAdjuvant RT for stage II endometrial cancer increased over time, particularly EBRT+VBT. Patient-related factors such as race, region, and distance from treatment center were associated with RT omission, suggesting sociodemographic barriers to care. Tumor-related factors such as +SM and LVSI were associated with EBRT receipt, suggesting consideration of high-risk factors for locoregional recurrence in adjuvant RT approaches.

Comparative Analysis of Multi-Criteria Techniques in Neutrosophic Environment and their Applications to Economic Condition Assessment

In economic decision-making, the challenge of evaluating multiple, often conflicting criteria necessitates advanced Multi-Criteria Decision-Making (MCDM) techniques. Traditional methods can struggle with the inherent uncertainty, ambiguity, and imprecision of real-world data. This paper addresses these challenges by investigating the effectiveness of various MCDM techniques within neutrosophic environments, with a particular focus on the Criteria-wise Alternatives Ranking and Correlation Analysis for Composite Scoring (CARCACS) method. Neutrosophic sets, which incorporate truth, falsity, and indeterminacy, provide a robust framework for addressing the vagueness and inconsistencies found in economic indicators such as GDP growth, employment levels, inflation rates, trade balances, investment activity, and government fiscal policy. This paper conducts a comparative analysis of several MCDM techniques, including N-PROMETHEE II, N-COPRAS, N-GRA, N-ARAS, N-WSM, N-MOORA, N-TOPSIS, and N-WASPAS, assessing their performance using Single-Valued Triangular Neutrosophic Numbers (SVTrNN) in the context of economic condition analysis. The study details the strengths and weaknesses of these methods in managing ambiguous and imprecise data and highlights the neutrosophic CARCACS method's effectiveness in capturing the intricate interactions between criteria and offering a comprehensive evaluation of alternatives. The results reveal the comparative advantages of different MCDM techniques and provide insights into their application in decision-making (DM) under uncertainty. This study contributes to the existing literature by demonstrating how neutrosophic environments can enhance economic DM and by introducing a novel approach for handling economic conditions through the CARCACS method. It aims to assist policymakers and analysts in selecting the most suitable MCDM techniques for complex and uncertain scenarios, leading to more informed and effective decisions. In evaluating MCDM techniques within neutrosophic environments, several sensitivity and comparative challenges arise. The diversity in methods, such as N-PROMETHEE II, N-COPRAS, and N-TOPSIS, introduces variability in handling criteria weightings and alternatives, leading to different results under similar conditions. Sensitivity analysis of the N-CARCACS method also highlights its robustness challenges, particularly how fluctuations in input parameters and criteria weights affect decision outcomes.

Clinical Value of Circ-PNPT1 on Adverse Pregnancy Outcomes of Patients with Gestational Diabetes Mellitus.

Several circular RNAs are associated with important pathophysiological characteristics of gestational diabetes mellitus (GDM). This study intended to measure the expression of circ-PNPT1 in sera of GDM patients and to expound on its values on pregnancy outcomes. Totally 104 GDM patients and 71 healthy controls were recruited. The expression pattern of serum circ-PNPT1 was measured by reverse transcription-quantitative polymerase chain reaction. The diagnostic efficacy of circ-PNPT1 and fasting blood glucose (FBG) on GDM was evaluated by receiver operating characteristic (ROC) analysis. Parameters of glycolipid metabolism were determined using automatic biochemical analyzers. The correlation between circ-PNPT1 and glycolipid metabolism parameters was analyzed using Pearson analysis. GDM patients were divided into a high expression group and a low expression group based on the median value of circ-PNPT1 expression. Curves of adverse neonatal outcomes were drawn by Log Rank analysis. GDM patients exhibited higher circ-PNPT1 expression than healthy controls. The area under the ROC curve of circ-PNPT1 diagnosing GDM was 0.9184 and the cut-off value was 1.435 (90.38% sensitivity, 85.92% specificity). Serum circ-PNPT1 expression was positively correlated with FBG, total cholesterol, and triglyceride in GDM patients. Neonates born to GDM patients with high circ- PNPT1 expression were prone to adverse outcomes. Circ-PNPT1 was highly-expressed in the sera of GDM patients. Circ-PNPT1 affected glycolipid metabolism and its expression had certain reference values on adverse pregnancy outcomes.

Pengaruh Penggunaan Dot Empeng terhadap Produksi Bunyi Artikulasi pada Anak Usia 3 sampai 6 Tahun di PAUD TK Nirwana Banjarnegara

Background: Articulation ability greatly influences a child's speech clarity. Articulation involves speech organs such as the tongue, teeth, lips and palatal organs. The accuracy of the phonemes produced depends on the oral structure of the speech. One of the causes of errors in the formation of phonemes in a person is due to interference or damage to the articulator. This can be affected, among other things, by the habit of sucking a pacifier too often and for a long time. Objectives: This study aims to determine the effect of using pacifiers on the production of articulatory sounds in children aged 3 to 6 years at the Nirwana Integrated Preschool Kindergarten Banjarnegara. Methods: This type of quantitative research with a Cross- Sectional. Data collection techniques using Purposive Sampling with a sample of 25 respondents. The data that has been collected will be univariate analysis and bivariate analysis using the Spearman Rank statistical test. Results: Based on the results of the Spearman Rank analysis test, the value of ρ (sig.) is 0.004 or value of ρ (sig.) ≤ 0.05, then Ha (alternative hypothesis) is accepted, indicating that there is an effect of using pacifiers on children's production of articulatory sounds. The correlation coefficient value is 0.557, which means that the level of correlation or relationship between the two variables is in the range of 0.4 to &lt; 0.6, that is to say the medium category. Conclusion: There is an effect of using pacifiers on the production of articulatory sounds in children aged 3 to 6 years at the Nirwana Integrated Preschool Kindergarten Banjarnegara. Keywords: Pacifier Use, Articulated Sound Production, Children aged 3 to 6 years

Outcomes of Liver Transplantation in Infants: A Retrospective Cohort Study

ObjectiveLiver transplantation (LT) is a crucial treatment for infants with end-stage liver disease, yet specific data on LT outcomes in infants under 12 months old remain limited. This study aims to present the clinical course and outcomes of infants who underwent LT, assessing the impact of demographic and etiological differences on mortality and survival. MethodsA retrospective analysis was conducted on 64 infants (<12 months) who underwent LT between January 2019 and March 2024. Demographic, clinical, and laboratory data were collected from medical records. LT-specific details, postoperative complications, and survival data were analyzed. ResultsThe median age of the infants was 157 days, with 37 males (57.8%) and 27 females (42.2%). Biliary atresia was the most common diagnosis (85.9%), and seven infants had undergone a previous Kasai procedure. The median PELD score was 15.5. Left lateral segmentectomy was the predominant graft type (60.9%). The median PICU and hospital stays were 5 and 21 days, respectively. Complications occurred in 20 infants (31.3%), with vascular and biliary complication rates both at 12.5%. The overall mortality rate was 17.2%, with early (30-day) and late mortality rates of 6.3% and 10.9%, respectively. The median OS was 204.5 days, and the one-year survival rate was 32.8%. Kaplan-Meier and Log Rank analyses showed no significant impact of sex, age, diagnostic groups, graft type, or surgical complications on OS (p>0.05). ConclusionLT in infants can be performed with acceptable morbidity and mortality rates, particularly with increased experience and standardized protocols.

Effectiveness of non-pharmacological interventions for pain reduction following chest tube removal: A systematic review and network meta-analysis

ObjectiveThis study aimed to determine the most effective non-pharmacological intervention for pain relief following chest tube removal in adult patients. MethodsWe performed a systematic review with network meta-analysis, searching electronic databases for randomized controlled trials up to January 20, 2024. Compared to control or placebo groups, the trials included adult patients receiving non-pharmacological interventions, such as cold therapy, relaxation exercises, music therapy, transcutaneous electrical nerve stimulation, or aromatherapy. Data analysis utilized a random-effects model, reporting standardized mean differences (SMD) with 95% confidence intervals (CI), and treatment ranking was determined through surface under the cumulative ranking analysis and forest plots. ResultsSixteen studies enrolling 1,342 patients were included, with moderate to high heterogeneity. Cold therapy and relaxation exercises effectively reduced pain after chest tube removal, with SMD of −1.84 (95 % CI: −2.81 to −0.87) and −2.04 (95 % CI: −3.43 to −0.65), respectively, from baseline to immediately post-removal. From baseline to ten to twenty minutes after removal, both therapies continued to show significant pain reduction, with SMD of −1.96 (95 % CI: −3.14 to −0.77) for cold therapy and −2.01 (95 % CI: −3.75 to −0.28) for relaxation exercises. Sensitivity analysis supported these findings, and cold therapy’s efficacy appeared unaffected by obesity. However, publication bias, possibly due to small study samples, was noted. ConclusionsCold therapy and relaxation exercises proved most effective for reducing pain immediately and up to ten to twenty minutes after chest tube removal. Given their cost-effectiveness, lack of side effects, and ease of use, we recommend relaxation exercises as a practical alternative to cold therapy. Nonetheless, further studies are needed to comprehensively assess non-pharmacological options for managing chest tube removal pain. Implications for clinical practiceIncorporate cold therapy and relaxation exercises into post-chest tube removal pain management to improve patient comfort and minimize reliance on pharmacological interventions.

Ranking Analysis of Tribological, Mechanical, and Thermal Properties of Nano Hydroxyapatite Filled Dental Restorative Composite Materials Using the R‐Method

ABSTRACTR‐method as multi criteria decision‐making method was proposed to determine the ranking of alternatives and performance criteria or attributes of dental composite materials. Five alternatives (DHM0, DHM2, DHM4, DHM6, and DHM8: nomenclatures of micro‐nano ceramic particulate filled dental restoration composites) and 14 attributes (performance criteria) were considered in this research. The decision‐maker determined the relevance of each rank and then attributed it to the performance criterion. In a similar manner, the options were ranked in relation to each performance criterion according to the associated performance criteria. Therefore, the order of the ranks of dental composites is DHM8 (1st rank) &gt; DHM4 (2nd rank) &gt; DHM6 (3rd rank) &gt; DHM0 (4th rank) &gt; DHM2 (5th rank). The suggested technique is showed simpler and advance compared to the other generally employed decision‐making techniques.

Machine learning-based identification of critical factors for cadmium accumulation in rice grains.

The aggregation of Cadmium (Cd) in rice grains is a significant threat to human healthy. The complexity of the soil-rice system, with its numerous influencing parameters, highlights the need to identify the crucial factors responsible for Cd aggregation. This study uses machine learning (ML) modeling to predict Cd aggregation in rice grains and identify the influencing factors. Data from 474 data points from 77 published works were analyzed, and eight ML models were established using different algorithms. The input variables were total soil Cd concentration (TS Cd) and extractable Cd concentration (Ex-Cd), while rice Cd concentration (Cdrice) was the output variable. Among the models, the Extremely Randomized Trees (ERT) model performed the best (TS Cd: R2 = 0.825; Ex-Cd: R2 = 0.792), followed by Random Forest (TS Cd: R2 = 0.721; Ex-Cd: R2 = 0.719). The ERT feature importance ranking analysis revealed that the essential factors responsible for Cd aggregation are cation exchange capacity (CEC), TS Cd, Water Management Model (WMM), and pH for total soil Cd as input variables. For extractable Cd as an input variable, the vital factors are CEC, Ex-Cd, pH, and WMM. The study highlights the importance of the Water Management Model and its impact on Cd concentration in rice grains, which has been overlooked in previous research.Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.The authors and their respective affiliations are correct.Author details: Kindly check and confirm whether the corresponding author is correctly identified.It is correct.

Hubungan antara Pola Makan dengan Kadar Asam Urat pada Lansia di Posyandu Lansia Srikandi Kecamatan Lowokwaru Kota Malang

Gout, commonly known as Gout Arthritis, is a disease characterized by sudden, recurrent and painful attacks. Broadly speaking, purines are obtained from food, if the diet is not changed, excessive levels of uric acid in the blood will cause uric acid crystals to accumulate, if crystals form in the joint fluid, there will be a severe and sudden pain attack. This study aims to determine the relationship between diet and uric acid levels in the elderly at the Srikandi Elderly Posyandu, Lowokwaru District, Malang City. This type of research is qualitative using a cross sectional research design. The population was all elderly people aged 40-50 years, 51-60 years, 61-75 years, and 91 years at the Srikandi Elderly Posyandu, Lowokwaru District, Malang City, totaling 50 respondents. The sampling technique used purposive sampling with a sample of 35 respondents. Data collection using questionnaires and capillary blood sampling in the elderly. Tested using spearman rank analysis. The results showed that there was a relationship between diet and uric acid levels in the elderly (p-Value = 0.114). The conclusion is that there is a relationship between diet and uric acid levels in the elderly at the Srikandi Elderly Posyandu, Lowokwaru District, Malang City. It is recommended to the community in the work environment of the Srikandi Elderly Posyandu, Lowokwaru District, Malang City to maintain a good diet so that uric acid levels remain normal.

Research and Optimization of Audit Risk Assessment Model Based on Regression Algorithm

Recently, auditors have used audit risk models’ conceptual tools to assess and control the many risks that could occur during an audit. The tool guides the auditor in determining the necessary evidence for each relevant allegation and the required categories of evidence. The importance of refining audit risk assessment models depends on the crucial role that these models perform in allocating resources and reducing financial disparities. The challenging characteristic of such an audit risk assessment model is that inaccurate information can lead to incorrect risk assessments, legal frameworks and failure to detect material misstatements in financial statements. Hence, in this research, BP neural network-enabled machine learning (BPNN-ML) technologies have been improved for the audit risk assessment model. In that financial disparity, the regression algorithm was used to establish the audit risk assessment for data processing and entirely monitor it. The suggested method provides a flexible framework that may be utilized by a wide range of organizations, including global enterprises and financial institutions, to optimize audit processes and ensure regulatory compliance. This research adds to advancing auditing procedures and regulatory compliance efforts in contemporary company contexts by addressing the issues inherent in traditional methods and proposing a practical approach to these concerns. The experimental analysis of BPNN-ML outperforms physical monitoring in terms of feature importance ranking analysis, contextual adaptability analysis, sensitivity analysis, performance analysis and optimized risk assessment analysis.