Analysis Method Research Articles

A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach.

Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 data points retrospectively obtained from the ATP official source after the end of the season. These data were cross-verified with information from other sources before categorisation to address any discrepancies. Employing various analytical methods, the results emphasize the strategic importance of tournament participation and gameplay for financial gains and higher rankings. Prize money analysis reveals a significant disparity favoring top players. Multivariate Analysis of Variance highlights the need to consider multiple variables for understanding ATP rankings. Multinomial Logistic Regression identifies age, height, and specific service-related metrics as key determinants, with older and taller players more likely to secure top positions. Neural Network models exhibit potential in predicting ATP Rank outcomes, particularly for ATP Rank (500). Our results argue for the use of Artificial Intelligence (AI), specifically Neural Networks, in handling complex interactions and emphasize that AI is a supportive tool in decision-making, requiring careful consideration by experienced individuals. In summary, this study enhances our understanding of ATP ranking factors, providing actionable insights for coaches, players, and stakeholders in the tennis community.

Application of computational algorithms for single-cell RNA-seq and ATAC-seq in neurodegenerative diseases.

Recent advancements in single-cell technologies, including single-cell RNA sequencing (scRNA-seq) and Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq), have greatly improved our insight into the epigenomic landscapes across various biological contexts and diseases. This paper reviews key computational tools and machine learning approaches that integrate scRNA-seq and scATAC-seq data to facilitate the alignment of transcriptomic data with chromatin accessibility profiles. Applying these integrated single-cell technologies in neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, reveals how changes in chromatin accessibility and gene expression can illuminate pathogenic mechanisms and identify potential therapeutic targets. Despite facing challenges like data sparsity and computational demands, ongoing enhancements in scATAC-seq and scRNA-seq technologies, along with better analytical methods, continue to expand their applications. These advancements promise to revolutionize our approach to medical research and clinical diagnostics, offering a comprehensive view of cellular function and disease pathology.

Thermal stress in externally irradiated tubes of solar central receivers with a gas–particle fluidized dense suspension

One of the objectives of the new generation of concentrating solar power plants is to increase the actual temperature limit (565 °C) up to or near 1000 °C. An alternative heat transfer fluid that could help to reach this objective is the use of a fluidized dense gas–particle suspension ascending through a vertical tube. Since the predominant cause of rupture in solar receivers is the creep-fatigue damage process, which is mostly influenced by the maximum temperatures and stress experienced along the tube, the main objective of this work is to numerically study the thermomechanical behavior of a non-uniform externally irradiated tube where particles are fluidized and moves upwards. The heat transfer problem in the two media present (i.e. dense suspension of particles and tube wall) was solved separately: a Computational Particles Fluid Dynamic model solves the heat transfer in the particles, whereas a three dimensional Finite Volume model simulates the heat conduction through the tube wall to obtain the temperature profile, which serves as input to calculate the thermal stress of the tube with an analytical method. Higher thermal stresses were obtained for an absorbed power of 250 kW/m2 (σVM,max=219MPa) compared to that for an absorbed power of 500 kW/m2 (σVM,max=72MPa) due to the lower temperature difference between the front and rear sides of the tube caused by the more pronounced increase of the radiative losses in the front side of the tube compared to that at the rear side. The thermomechanical behavior of a particle receiver was compared to that of a molten salt receiver. For an incident solar flux of 500 kW/m2, the particle receiver reduced the maximum thermal stress by 73% compared to the molten salt receiver. However, the tube’s maximum temperature exceeded the working limit for stainless steel tubes. In order for the receiver to survive heat fluxes characteristic of solar power plants, research into technological solutions that allow to improve the effectiveness of the heat transfer rate from the tube to the particle flow is necessary.

Evaluating spectrophotometric and antioxidant activity methods for phenolic compounds quantification in natural deep eutectic solvents

Natural deep eutectic solvents (NaDES) are a new generation of sustainable solvents with unique physicochemical properties derived from their natural composition. This study addressed the accuracy of spectrophotometric analytical methods in quantifying phenolic compounds, namely chlorogenic acid, in NaDES, both as a standard and as part of more complex natural extracts. Comparative analyses of different quantification methods were conducted, using HPLC as the reference, revealing the influence of solvent components on the accuracy of results. Pearson’s correlation was evaluated between the colorimetric and chromatographic methods through the comparison of standard curves. The Folin-Ciocalteu reagent method was highlighted as the most correlated with the reference method in NaDES composed of lactic acid, while the Fast Blue BB method was noted for NaDES composed of glycerol, both with Pearson’s R values greater than 0.99. Variations in pH and solvent composition affected the sensitivity of the spectrophotometric methods, requiring a customized approach for each solvent. However, when spectrophotometric methods were applied to sunflower meal extracts, none, not even when antioxidant activity evaluation methods were used, was able to replicate the order of extraction efficiency revealed by the HPLC analysis, namely: AL:G > EtOH > CC:GL > U:GL > B:AL. The best results were achieved – correctly identifying the two best extraction solvents – when a solvent-directed method was used to analyze each extract, which resulted in extracts containing 3,075.78 μg CGA mL−1 AL:G and 2,384.83 μg CGA mL−1 EtOH, but also 2,002.67 μg CGA mL−1 B:AL; 1,488.68 μg CGA mL−1 U:GL and 579,14 μg CGA mL−1 CC:GL. This study contributed to a more comprehensive understanding of the challenges associated with the spectrophotometric analysis of phenolic compounds in NaDES, highlighting the need to select the right analytical method for each different solvent formulation.

I2U2 and Regional Stability in the Middle East

Abstract Participation in the Middle East Quad (I2U2) indicates that India, Israel, and the UAE are exercising “strategic autonomy” and have engineered a redirection of their foreign policy agendas. These countries no longer face any strategic dilemma in expanding their outreach, and formalising a transactional relationship for mutual strategic and geo-economic growth in the unstable and volatile Middle East. Is India’s involvement in the Middle East Quad Group beneficial to its foreign policy, keeping in view it’s cautious and ‘hands-off approach’ in the region? How far can these accords help in achieving regional stability? This paper attempts to answer these questions. It also deals with how India strikes a balance between the Abraham Accord countries and Iran, despite mutual rivalry in relation to several regional issues. This study observes that the Quad countries are driven by geo-strategic and geo-economic interests and exercise strategic autonomy in this transregional arrangement. This article employs analytical and interpretative methods through a forward-thinking conceptual framework centred on “strategic autonomy”. It concludes that India’s participation in this grouping does not hinder its ability to pursue relations with other countries, such as Iran, for its economic security. Rather, geopolitical shifts prompt national decisions on the part of different, even mutually confrontational actors, in a way that corresponds to the respective levels of their strategic autonomies or vulnerabilities. Strategic outcomes with peace dividends, such as regional multipolarity and economic diversification are identified as part of this process. such

Analytical Characteristics and Clinical Performance of Anti-Müllerian Hormone Immunoassay on the ADVIA Centaur® System: A Comparison with Other Chemiluminescent Methods

Background: Serum anti-Müllerian hormone (AMH) levels and antral follicle count are key in evaluating ovarian reserve (OR) for fertility. The performance of the Siemens Healthineers AMH assay was assessed on the ADVIA Centaur® System. Methods: Analytical characteristics, clinical performance, and method comparison studies were performed in a prospective cohort of 532 women at fertility clinics. Serum AMH levels were determined using ADVIA Centaur, Beckman Access®, and Roche Elecsys® assays. Results: The limit of quantitation for the ADVIA Centaur AMH assay was 0.030 ng/mL. Repeatability was ≤2.9% CV, within-lab repeatability was ≤3.2% CV, and reproducibility was ≤4.4% CV. Results using serum or lithium heparin sample types were equivalent. Diagnostic sensitivity across assays ranged from 77.3% to 90.2% and specificity ranged from 51.0 to 71.0%; corresponding positive and negative predictive values ranged from 66.6% to 74.3% and 74.2% to 83.0%, respectively. Receiver operating characteristic analyses demonstrated that the assays have a high probability for discriminating between diminished–normal and high OR. ADVIA and Beckman assays agreed according to ADVIA = 1.00 × Beckman + 0.014 ng/mL, τ = 0.909, while a more modest correlation of ADVIA = 1.41 × Roche − 0.024 ng/mL, τ = 0.777 was observed with Roche assay. Conclusions: The ADVIA Centaur assay demonstrates acceptable analytical characteristics and clinical performance comparable to the Roche AMH assay and is essentially interchangeable with the Beckman AMH assay for reliable OR assessment.

Compensation to Ex-Wives for Domestic Violence in Indonesia

This paper examines divorce lawsuits caused by domestic violence committed by husbands against wives, focusing on the rights of women as victims. In such cases, wives can file for divorce and demand compensation for the physical and psychological harm they have suffered. The study employs a qualitative approach with an analytical descriptive method, using the library method to gather and analyze both primary and secondary literature, including legal documents, laws, scientific articles, and case reports. The research aims to identify patterns, challenges, and solutions related to legal protection for victims of domestic violence in divorce proceedings. The findings reveal that while there are legal provisions for compensation, significant challenges remain, such as social stigma, economic dependence, and limited access to legal resources, which complicate women's ability to claim their rights. Additionally, societal attitudes and gaps in law enforcement further hinder the realization of justice for victims. The study concludes that public awareness campaigns and stronger advocacy are essential to empowering women and ensuring their rights are protected throughout the divorce process. It also emphasizes the need for stricter law enforcement to hold perpetrators accountable and provide justice for victims. This research contributes to improving legal and social frameworks for the protection of women facing domestic violence.

The Impact of Socialization on Political Participation in Jordan (1989-2015)

Objectives: The study aimed to show the reality and influence of socialization on political participation from the point view of Political party leaders in Jordan. Methods: The study in order to measuring the level of influence of socialization and find the degree of participation, used the descriptive analytical method to analyze the data collected through a refereed scientific questionnaire targeted the active party leaders and party figures in Jordan, consisting of (297) selected as a random sample Results: The study findings were, a medium degree of approval among party leaders and figures on the reality of socialization, a medium degree of approval on the reality of political participation and the presence of a statistically significant effect of socialization on political participation explains a percentage of (57.6%). And from the variation in political participation indicates that the extent of the clear impact of socialization on the process of political participation in Jordan. Conclusions: The study concluded that there is a need to work to raise the level of political awareness among young people in society, and the political parties must work on formulating and preparing integrated programs with clear goals and vision in order to attract the target group and participation within it in political future work in Jordan. That can be achieved only by moving to actual work, and activating the role of various governmental institutions, agencies and community organizations in spreading awareness of political culture among young people through educational, media, cultural and partisan institutions.

Extraction of methamphetamine and pseudoephedrine by modified graphene oxide solid phase extraction method coupled to HPLC-UV in urine sample.

Methamphetamine, pseudoephedrine, and related drugs are among the first drugs used for the stimulation of the central nervous system. In this study, two adsorbents based on graphene oxide (GO) were synthesized and used for the analysis of methamphetamine and pseudoephedrine. The prepared nano-adsorbents based on GO in this study were coated by polyaniline (PANI) and Fe3O4/C-nanodot/GO (magnetic adsorbent). The average size of nanoparticles (GO/PANI) was 18.43nm. The specific surface area and pore size diameter of Fe3O4/C-nanodot/GO were 22.71 m2 g- 1 and 15.23nm, respectively. Experimental variables affecting the extraction efficiency of the analytes such as pH of the sample solution, amount of adsorbent, extraction time, and type of eluents were investigated and optimized by response surface methodology. Under optimum conditions, GO/PANI and Fe3O4/C-nanodot/GO were considered appropriate solid phase extraction adsorbents for HPLC-based analyses of the studied drugs in human urine samples. However, GO/Fe3O4 nano adsorbent (Fe3O4/C-nanodot/GO) showed superior working condition than GO/PANI. The validated proposed analytical methods can be used for the quantitative determination of methamphetamine and pseudoephedrine in actual samples.

Motivations of Israeli physicians to return, or not, to Israel after their fellowship abroad.

Emigration of healthcare professionals, particularly physicians, is an unresolved "pandemic", influenced by various factors. In high-income countries, the training phase (fellowship) abroad is critical for career development, yet it poses challenges for the retention of these professionals upon their completion of training. This study aimed to identify the determinants influencing Israeli physicians' decisions to return to their home country after completing fellowship training abroad. This cross-sectional study conducted in early 2024, surveyed Israeli physicians with post-graduate training who pursued a fellowship abroad between 2013 and 2024. An anonymous survey included questions on demographics, training experience, and professional challenges. Analytical methods included descriptive statistics and regression analysis to explore factors associated with the decision to return. Of the 323 individuals surveyed, 297 met the inclusion criteria. Among them, 141 (47.5%) have returned to Israel, while 156 (52.5%) currently reside abroad, 48 (31%) of them have completed their fellowship. Respondents identified several challenges, beginning with a complex application process prior to fellowship (47% stated this as a major challenge), substantial financial burdens averaging 35,546 USD in direct out-of-pocket expenses during, and job uncertainty, with only 55% having secured positions upon return. Of the 156 Israeli fellows still abroad, 107 (69%) reported medium to low confidence in returning. Factors associated with a higher likelihood of confidence in returning to Israel included a secured job position upon return (OR 8.6, 95% CI 3.1-28.9) and having an opportunity for a position that would utilize the skills gained during the fellowship (OR 3.5, 95% CI 1.3-10.2). The decision to return to Israel after a fellowship abroad is influenced by a mix of professional, personal, and geopolitical factors. To counteract the critical issue of brain drain, it is essential to enhance occupational certainty for returning physicians. These findings highlight the urgent need for healthcare policies that provide robust support for returning professionals and address their specific challenges.

An analytical method for increasing the accuracy of the value of the Newtonian constant of gravitation

Despite hundreds of measurements of the Newtonian constant of gravitation, its accuracy remains very low. Over the past 55 years, it has improved by only one order of magnitude - from four to five digits after the decimal point. In this study, a new analytical method for improving the accuracy of estimating the value of the Newtonian constant of gravitation is proposed. Using the proposed method, its accuracy is increased by 7 orders of magnitude relative to the CODATA 2022 data. The method is based on the analytical estimate of the Planck mass, length, and time, with an accuracy of values ​​that is 5 orders of magnitude higher than their accuracy according to CODATA 2022. Such a significant increase in the accuracy of the Planck mass, length, and time values ​​was made possible by the integrated use of: 1) precision formulas for the Planck momentum; 2) representation of the speed of light in a vacuum through the Planck length and time; 3) the De Broglie principle: the moments of the Planck mass, leptons, and baryons are equal to each other; 4) high-precision characteristics of the proton. The method of analytical evaluation of Planck mass, length, and time allowed us to connect the main characteristics of the hypothetical virtual Planck particle with the main characteristics of the proton. Increasing the accuracy of the proton characteristics will entail increasing the accuracy of Planck mass, length, and time. Accordingly, the accuracy of the value of the Newtonian gravitational constant and all physical constants that can be represented through Planck mass, length, and time will be increased, which is especially important in light of the decisions of the 26th General Conference on Weights and Measures.

An Efficient Analytical Method for Determining Transition Temperatures in Core‐Shell Spin Crossover Nanoparticles Described by an Extended Ising‐Like Model

AbstractThis contribution is dedicated to the analysis of the size and interaction parameters effects on the thermal properties of square‐shaped cross‐spin transition core‐shell nanoparticles. The present study is carried out by varying the shell size at fixed core size and vice versa. In this problem, the core and shell are active from the spin transition point of view, while having different properties in terms of ligand field (transition temperatures) and interactions. The resulting nanoparticle is described by an Ising‐type model including the three interaction parameters JCC, JSS and JCS coupling core‐core, shell‐shell and core‐shell sites, respectively. The thermodynamic investigations have been carried out in 3 different ways: (i) by Monte Carlo Entropic Sampling (MCES) for small size nanoparticles ( ) (ii) by usual Monte Carlo Metropolis for higher dimensions (iii) by an analytical method deducing the equilibrium temperature of the system from the various local environments. We demonstrate that, as long as a clear plateau region occurs in the thermal‐dependence of the high‐spin fraction, an excellent agreement is obtained, allowing to predict analytically the evolution of the transition temperatures. The limitations of the method are discussed in the case of strong interference between the thermal dependences of the core and shell.

Engaging citizens in experiments with computational analysis of patient stories: From unwarranted reductions to meaningful insights

In recent years, citizen engagement in policy and research has gained considerable momentum. In the healthcare domain, patient narratives, through various mediums, have emerged as a valuable source of insight into the experiences of patients and the healthcare system. Recognizing the value of such textual data, diverse analytical methods have been developed, spanning from text mining to narrative analysis. This article presents experiments that combine computational methods, qualitative methods and citizen science for analyzing patients’ stories. In this article, we reflect on two experiments in which we combined these approaches, which we analyze through a generative lens. We distinguish three main effects of the experiments: they provide a platform for discussions as a 'site of controversy'; they act as 'mediator', fostering new connections and mutual understanding among participants; and they serve as 'tin opener', stimulating substantive discussions about methodological development and substantive healthcare matters. Narrative reduction, which occurs when rich narrative data is simplified into structured quantifiable forms, is not inherently problematic; instead, it can be meaningful when combined with qualitative methods and citizen science, emphasizing the importance of utilizing diverse methods to balance authenticity and gaining broader insights. The study highlights the significance of collaborative sense-making and meaning-making in interdisciplinary research. Engaging patients, their relatives, and professionals in the analytical process, facilitated by tools like word clouds, promotes engaged discussions that yield actionable insights. Further development of such interdisciplinary approaches holds promise for a more nuanced understanding of patient experiences, fostering epistemological pluralism, and refining healthcare practices.

Research on dynamic solution analysis and applications based on the Rydberg atom superheterodyne structure

This paper investigates the dynamic solution of the density matrix equation based on the Rydberg atom superheterodyne structure. Compared to the current analytical method relying on the steady-state solution, the dynamic solution is related to the Rabi frequency and the frequency of the signal to be measured. Therefore, it can comprehensively describe the instantaneous bandwidth and gain characteristics of the receiver and is in good agreement with experimental results. Additionally, we propose an atomic all-heterodyne receiver architecture that combines electric-field heterodyne and optical heterodyne techniques and demonstrates the reception and recovery of modulated signals under this architecture with linear frequency modulation (LFM) signals as an example. Our research offers interesting theoretical insights that can be applied to the performance analysis and system optimization of atomic receivers.

Forced stability studies and estimation of encapsulated ellagic acid in nano-formulations using UV-spectroscopy

Abstract There is a growing interest in dietary materials to explore their therapeutic activities. Ellagic acid is considered as a dietary supplement and is naturally present in fruits and other foods. It has anticancer, antimalarial, antiviral, antioxidant, and anti-inflammatory activities. These activities can be enhanced with nanoformulations, which can increase its oral bioavailability. However, there is a need for an economical, simple, sensitive, and robust analytical method for the estimation of entrapped ellagic acid in the nanoformulations. Therefore, the present study presents the development and validation of a UV–visible spectroscopy method for the estimation of EA in nanoformulations. The phosphate buffer (pH 7.2) and the detection wavelength of 253.5 nm were used for the method development, and its validation was performed according to the ICH Q2A (R1) guidelines. The coefficient of determination value of the developed method was found to be 0.9988 in the concentration range of 1 μg mL−1 to 6 μg mL−1. The method was found to be linear, precise, sensitive, and robust. This method can be used for the estimation of EA in nanoformulations, bulk dosage forms, and other pharmaceutical formulations.

RELATIONSHIP OF NEUTROPHIL LYMPHOCYTE RATIO WITH APPENDICITIS INCIDENCE Review of Appendicitis Patients at Ibnu Sina Hospital, Gresik Regency in 2022-2023

This study aims to analyze the relationship between the neutrophil lymphocyte ratio (NLR) and the incidence of acute appendicitis in patients at Ibnu Sina Hospital, Gresik Regency, in the 2022-2023 period. Acute appendicitis is a frequent emergency surgical condition, especially in adolescents and young adults, with the risk of complications such as perforation and peritonitis. NLR, as an indicator of inflammatory response, is considered more practical and economical than CT scans and ultrasounds, which have limited cost, accessibility, and risk of radiation exposure. This study used an observational analytical method with a cross-sectional approach on 51 appendicitis patients who underwent appendectomy. NLR data was obtained through routine blood results, with statistical analysis using SPSS to test the normality and difference in NLR values between uncomplicated appendicitis and appendicitis with complications. There was a significant difference in the mean NLR value between patients with complementary and non-complementary appendicitis, with a p < value of 0.001. The results of the ROC Curve analysis show that NLR has a high prediction value in predicting complementary appendicitis of 97.5%. This study concludes that NLR can be an effective indicator in distinguishing cases of complementary and non-complementary appendicitis and the potential of NLR as an easy and efficient screening tool in the treatment of acute appendicitis, especially in health facilities with limited resources.

Analysis of Contributing Factors to Stunting in Poso Regency: A Perspective from the Special Stunting Handling Index

Introduction: The prevalence of stunting in children in Indonesia, including Poso Regency, remains relatively high despite a decrease in recent years. This study aims to analyze factors associated with stunting in Poso Regency. Methods: This study employed a cross-sectional analytical method with a sample size of 250 mothers and their children under 2 years old, using structured questionnaires and direct measurements to collect data. Univariate analysis, chi-square tests and binary logistic regression were performed with a final report of adjusted odds ratios (AORs) and 95% confidence intervals (CI). All of the analyses used Stata version 15. Results: Results indicate a significant association between stunting and the child's gender, maternal education, immunization, and breastfeeding. Boys face a 2.3 times higher risk of stunting, while children of mothers with primary education have a 4.7 times higher risk compared to those with higher education. Non-immunized and non-breastfed children also exhibit significantly higher stunting risks. Conclusion: The study underscores the impact of factors such as the child's sex, maternal education, immunization, and breastfeeding on stunting in Poso Regency. The study emphasizes the need for targeted educational programs by healthcare professionals, policy-driven nutritional support initiatives, and community-based awareness campaigns to effectively address stunting in Poso Regency.

The Impact of Applying Artificial Intelligence on Human Resources Management in Jordanian Banks

The study aims to investigate artificial intelligence (expert systems, knowledge representation and reasoning, automatic learning and effectiveness) on human resources management in Jordanian banks. The descriptive analytical method was used by developing a digital questionnaire that was distributed to a purposive sample of the study population, which includes employees of directors of human resources departments and workers in the human resources department. To answer the study’s questions and hypotheses, the data was analyzed using the SPSS program. It was found that artificial intelligence variables (expert systems, knowledge representation and reasoning, automatic learning, and effectiveness) are associated with a positive, statistically significant relationship with training and development. ? It was also found that artificial intelligence variables (expert systems, knowledge representation and reasoning, automatic learning, and effectiveness) are associated with a positive, statistically significant relationship with selection and appointment. Finally, the results concluded that artificial intelligence explains a large portion of the variance in incentives, which indicates a positive and statistically significant relationship. The study recommended that the expanding the use of artificial intelligence techniques in ?human ?resources ?management?, and conduct more future studies about the relationship between the use of artificial intelligence technologies and other human resources practices such as: (performance evaluation, wages and compensation, talent management). Received: 11 July 2024 / Accepted: 31 October 2024 / Published: 05 November 2024

Cost‐effective amperometric sensor for monitoring levofloxacin in groundwater

AbstractThe presence of water micropollutants, such as antibiotics, has proved the necessity to develop novel and cost‐effective devices for their identification and quantification. These devices aim to save time, reagent usage, and costs associated with conventional analytical methods. In this work, we introduce poly(methylene blue) based screen‐printed electrodes (SPE‐PMB) as electrochemical sensors designed for the quantification of levofloxacin (LVX), given its current prevalence as a micropollutant. Integrating the fabrication and measurement processes into a single electrochemical device is a significant step in creating affordable detection tools. The proposed sensor was assessed using LVX solutions prepared in real groundwater samples, demonstrating its selectivity and achieving a detection limit of 3.3 μM. Finally, we compared the SPE‐PMB sensor and high‐performance liquid chromatography (HPLC) to validate its operation and performance. Consequently, our results suggest that the sensor can be a viable alternative to chromatographic methods for identifying and quantifying micropollutants at very low concentrations in complex matrices.

Effective method to mitigate impact of rain or snowmelt sewer flushing events on wastewater-based surveillance measurements

Wastewater-based surveillance (WBS) is increasingly used for monitoring disease targets in wastewaters around the world. This study, performed in Ottawa, Canada, identifies a decrease in SARS-CoV-2 wastewater measurements during snowmelt-induced sewer flushing events. Observations first revealed a correlation between suppressed viral measurements and periods of increased sewage flowrates, air temperatures above 0 °C during winter months, and solids mass flux increases. These correlations suggest that high sewage flowrates from snowmelt events or intense precipitation events lead to the scouring of previously settled solids in sewers and the subsequent entrainment of these solids into the transported wastewaters. Collection of WBS samples during flushing events hence contains a heterogeneous mixture of solids, including resuspended solids with varying degrees of decay. Therefore flushing events can present a challenge for accurately measuring disease target viral signals when using solids-based analytical methods. This study demonstrates that resuspended solids entrained in the wastewaters during flushing events retain PMMoV signal while the SARS-CoV-2 signal is significantly reduced due to the slower decay rate of pepper mild mottle virus (PMMoV) compared to SARS-CoV-2 within wastewaters. Hence current normalization methods using PMMoV are shown to be ineffective in correcting for flushing events and the associated resuspension of settled solids, as the PMMoV signal of settled solids within sewers does not account for the differential decay rates experiences by SARS-CoV-2 signal in settled solids. Instead, this study identifies RNA to PMMoV correction factor as an effective approach to correct for flushing events and to realign SARS-CoV-2 signal with COVID-19 hospital admission rates within communities. As such, the study highlights the key physicochemical parameters necessary to identify flushing events that affect SARS-CoV-2 WBS measurements and introduces a novel RNA to PMMoV correction factor approach for solids-based analysis of SARS-CoV-2 during flushing events, enhancing the accuracy of WBS data for public health decision-making.