Analytical Components Research Articles

A unified digital twin approach incorporating virtual, physical, and prescriptive analytical components to support adaptive real-time decision-making

Based on an overview of the historical and rapidly expanding literature on digital twins, this paper identifies fundamental capabilities that outline a general and adaptable twin that supports system development, real-time interactions, prescribing courses of action, and actualizing them. We relate these capabilities to business analytics concepts and decision-making processes geared toward rapid adaptation to changing situations. This leads to a general digital twin architecture supporting a system throughout its lifecycle implemented with components including Internet of Things (IoT) devices, a virtual reality environment, network communications, and an analytic simulation. The success of this architecture revolves around an authoritative data source, the Highly Integrated Virtual Environment (HIVE). We demonstrate the architecture and capabilities through a transporter system example. This demonstration highlights important timing and synchronization questions critical to fulfilling the twin’s fundamental role of reacting to evolving real-world conditions. It identifies the importance of lags in decisions, relates it to prescriptive response time and the rate of evolution of the underlying system, and quantifies this impact with new metrics of effectiveness lag and relevancy decay.

ИЗУЧЕНИЕ ВАЛИДАЦИОННЫХ ХАРАКТЕРИСТИК МЕТОДИК ИСПЫТАНИЯ НА ПОДЛИННОСТЬ И КОЛИЧЕСТВЕННОГО ОПРЕДЕЛЕНИЯ АЦИЗОЛА В СТОМАТОЛОГИЧЕСКОМ ГЕЛЕ

In the quality assurance system for medicinal products, an important role is played by the procedure for validation of analytical methods at the stages of development, testing, technology and serial production. The need for validation at the stage of drug development is due to the fact that it is possible to promptly identify the shortcomings of the method and significantly improve it. The purpose of this study is to validate methods for testing «The authenticity» and «Quantitative determination» of acyzole in dental gel. Materials and methods. To achieve this goal, an active pharmaceutical substance of pharmacopoeial quality was used. When developing methods for testing for “Authenticity,” a reaction with oxalic acid to the zinc cation determined in the composition of acyzole was used. For the quantitative determination of acyzole, the complexometric method was used. The objects of the study were three series of gel samples. Results and discussion. As a result of the research, a method for testing «Authenticity» was developed; it was found that the proposed method is characterized by a negative analytical signal on model mixtures free of the analyte component and placebo, and a positive analytical signal on model mixtures of various compositions containing the analyte component. The validation characteristics of methods for the quantitative determination of acyzole in the gel were studied. positive results were obtained. The proposed methods can be used for inclusion in the regulatory documentation for the developed gel. Conclusion. When assessing the validation characteristics of the proposed methods, it was established that the methods for testing the «Authenticity» and «Quantitative determination» of acyzole in the gel are specific, the methods of quantitative determination are characterized by accuracy and repeatability, a linear dependence in the analytical range of ±20% of the declared amount of acyzole, which allows them to be used for a reliable assessment quality of the developed dental gel.

Diurnal and day-to-day biological variation of salivary cortisol and cortisone.

There is a growing interest in the relevance of salivary cortisol and cortisone concentrations in stress-related research. To correctly attribute the magnitude of salivary cortisol and cortisone variation as an effect of a stressful event, a coherent understanding of the day-to-day intra-individual and inter-individual variability across the diurnal cycle of the two steroids is required. However, such information is currently lacking. This study aimed to overcome these existing limitations by performing an investigation of the biological variation (BV) of salivary cortisol and cortisone within one day and between five days using an LC-MS/MS method. Saliva samples were collected from 20 healthy volunteers immediately after waking up, at 8:00, 12:00, 15:00, 19:00 and 23:00 on each day over five days. All samples were analyzed in duplicate in one run. Nested ANOVA was used to calculate the sums of squares for analytical and biological components of variation. The within-subject BV of salivary cortisol and cortisone (CVI) ranged from a minimum of 29.3 and 19.0 % to a maximum of 56.5 and 49.1 %, respectively, while the between-subject biological variation (CVG) ranged from 29.7 and 29.0 % to 51.6 and 43.6 %. The reference change values (RCVs) ranged from 96 to 245 % for cortisol and from 55 to 194 % for cortisone. A medium index of individuality was observed for both compounds at all time points. This study provides updated BV estimates and RCVs for different times of day that can be used to assess the magnitude of change in biomarkers in future stress-related research.

Distribution of Intraocular Pressure in Indigenous Black Africans and Related Risk Factors: A Population-Based Study in Southwest Nigeria

Background: Elevated intraocular pressure (IOP) is a major risk factor for glaucoma and is presently the only modifiable risk factor. Even in a healthy population, IOP distribution varies among different racial groups. Objective: To determine the distribution of IOP and factors affecting it, among an indigenous African population in Southwest Nigeria. Methods: A population-based descriptive cross-sectional survey with an analytical component was performed. The study was conducted among participants 16 years and older who were residents of Akinyele Local Government Area of Oyo State and were all black Africans. A multi-stage sampling with probability proportional to size was used to identify the study population. All participants were examined at the local health center in their community, assessing the visual acuity, Goldmann applanation tonometry, central corneal thickness, anterior segment, fundoscopy, weight, height, and blood pressure. Results: A total of 1810 respondents completed the study; male patients accounted for 41.55%. Mean age was 49.43 ± 15.57 years. The mean IOP was 15.91 ± 4.74 mmHg. There was a significant association between elevated IOP and the male gender. Intraocular pressure also had a significant positive correlation with increasing age, systolic blood pressure, and central cornea thickness. There was no significant relationship between IOP and self-reported diabetes mellitus. Conclusion: The mean IOP and distribution in this study were a bit different from that observed in studies in different geographical locations but similar to studies in West Africa. It may be advisable to employ a geographical approach to normal IOP interpretation.

Selective detection of azelnidipine in pharmaceuticals via carbon dot mediated spectrofluorimetric method: A green approach.

A spectrofluorimetric method using fluorescent carbon dots (CDs) was developed for the selective detection of azelnidipine (AZEL) pharmaceutical in the presence of other drugs. In this study, N-doped CDs (N-CDs) were synthesized through a single-step hydrothermal process, using citric acid and urea as precursor materials. The prepared N-CDs showed a highly intense blue fluorescence emission at 447 nm, with a photoluminescence quantum yield of ~21.15% and a fluorescence lifetime of 0.47 ns. The N-CDs showed selective fluorescence quenching in the presence of all three antihypertensive drugs, which was used as a successful detection platform for the analysis of AZEL. The photophysical properties, UV-vis light absorbance, fluorescence emission, and lifetime measurements support the interaction between N-CDs and AZEL, leading to fluorescence quenching of N-CDs as a result of ground-state complex formation followed by a static fluorescence quenching phenomenon. The detection platform showed linearity in the range 10-200 μg/ml (R2 = 0.9837). The developed method was effectively utilized for the quantitative analysis of AZEL in commercially available pharmaceutical tablets, yielding results that closely align with those obtained from the standard method (UV spectroscopy). With a score of 0.76 on the 'Analytical GREEnness (AGREE)' scale, the developed analytical method, incorporating 12 distinct green analytical chemistry components, stands out as an important technique for estimating AZEL.

Postgraduate Master of Medicine student perspectives on data access and record-keeping for research

Background. Registrars in specialisation training programmes encounter numerous difficulties in completing the research component of the Master of Medicine degree. Poor patient record-keeping hinders the research process. Objectives. To investigate current types of medical patient record-keeping systems (electronic v. paper) in training health facilities, and the effect data accessibility has on specialist training and research. Methods. This was a mixed-methods study that included both descriptive and analytical components. Of 610 postgraduate students enrolled in the University of KwaZulu-Natal College of Health Sciences Master of Medicine programme, 168 completed a cross-sectional survey to collect data and 11 did follow-up interviews. The survey and interviews explored issues related to medical record-keeping in the participants’ department or hospital, emphasising their experiences with data access while conducting research. The quantitative data were analysed using descriptive statistics, and the qualitative data were analysed thematically. Ethical approval was obtained from the institution’s Biomedical Research Ethics Committee. Results. Of the 168 participants, 94 (56%) reported that problems with data access hindered their research, while 56 (33%) indicated that data access did not affect their research. Only 30 participants (18%) had no difficulty in obtaining data for their research, while the rest (n=138; 82%) experienced varying degrees of difficulty. A total of 110 participants (65%) indicated that paper-based record-keeping was mainly being used in their department or hospital, while electronic record-keeping was reported by the rest (n=58; 35%). Many (n=125; 74%) expressed the need to improve hospital data management practices, and 39 (23%) reported that plans were being implemented to improve these practices. Participants expressed frustration with regard to accessing data even in departments that used electronic systems, and they raised concerns regarding data security. Conclusion. The migration to electronic patient record-keeping has not yet been implemented in many hospitals, with poor patient record-keeping affecting training and research.

Hybrid AI-Analytical Modeling of Droplet Dynamics on Inclined Heterogeneous Surfaces

This work presents a novel approach for the study of the movement of droplets on inclined surfaces under the influence of gravity and chemical heterogeneities. The developed numerical methodology uses data-driven modeling to extend the applicability limits of an analytically derived reduced-order model for the contact line velocity. More specifically, while the reduced-order model is able to capture the effects of the chemical heterogeneities to a satisfactory degree, it does not account for gravity. To alleviate this shortcoming, datasets generated from direct numerical simulations are used to train a data-driven model for the contact line velocity, which is based on the Fourier neural operator and corrects the reduced-order model predictions to match the reference solutions. This hybrid surrogate model, which comprises of both analytical and data-driven components, is then integrated in time to simulate the droplet movement, offering a speedup of five orders of magnitude compared to direct numerical simulations. The performance of this hybrid model is quantified and assessed in different wetting scenarios, by considering various inclination angles and values for the Bond number, demonstrating the accuracy of the predictions as long as the adopted parameters lie within the ranges considered in the training dataset.

The Impact of ILO Convention No. 182 (1999) on Safeguarding Against Child Labor in Indonesia

Child labor poses a serious challenge to Indonesia's commitment to children's rights and workplace protection. ILO Convention No. 182 has become a crucial global guideline in combating this issue. Using doctrinal legal research with an analytical descriptive component and includes the comparative approach, the statute approach, and the historical approach. Using secondary data, which included primary, secondary, and tertiary legal material and with library research and examined resources relating to the topics under investigation with qualitative analysis. Before ratification, weak enforcement and inadequate regulations left child workers vulnerable to health risks and exploitation. The ratification marked a pivotal moment, aligning Indonesia's laws with international standards to better safeguard children from exploitative labor practices, emphasizing the urgent need for stronger protections and enforcement measures.

Computational Thinking in Geometric Concept Construction Using Geogebra Software

The knowledge era has allowed new ways of interacting with peers and socially, which allows the promotion of social skills and abilities associating the components of computer science, in order to manage the use of Technology and Information and Communication Technology (ICT) in the resolution of geometric situations in the practice of construction, elaboration and interaction with geometric prototypes detected in reality and simulated by GeoGebra software in university students. For this purpose, a non-experimental design of comparative descriptive level was applied, in which sessions with interaction of geometric contents and indicators of computational thinking were developed during seven weeks of classes. The development of the experimental activities allowed the resolution of practical situations detected in the process of: design of plans, organization of analytical components of data through abstraction, solutions of specific and complex situations through the heuristic and algorithmic method, in the challenge of creating new geometric prototypes, exploring new ways of learning geometry, creating challenging situations in producing figures through the software under the basic and fundamental principles of the software leading to the development of computational thinking of the students under observation.

From Style to Wellness: How Fashion Influencers Are Affecting Healthy Behaviors in Saudi Arabia.

Background Social media influencers, particularly those in the fashion domain, have become prominent sources of health-related information, influencing the health behaviors of their followers, especially within the unique socio-cultural context of Saudi Arabia. This study aims to examine the relationship between following fashion influencers on social media and the adoption of healthy behaviors among Saudi residents. Methods A descriptive cross-sectional study with an analytic component was conducted from August 25, 2023, to December 15, 2023, among Saudi residents aged 18 years and older who actively follow fashion influencers. Data were collected via a structured, validated questionnaire distributed through various social media platforms. Data analysis was performed byemploying descriptive statistics, Pearson's chi-square test, and logistic regression analyses to identify predictors of negative health behavior outcomes. Results The study included 466 participants, revealing that despite insignificant differences in age and gender, postgraduate education was associated with negative outcomes (p = 0.016). Notably, 8.7% of individuals with negative outcomes held postgraduate degrees, compared to 2.9% in the non-negative group. Participants with negative outcomes more frequently followed influencers offering health tips (p = 0.01) and advocating a healthy lifestyle (p < 0.001). Logistic regression identified individuals who followed influencers with fewer than 10K followers had significantly higher odds of negative outcomes (OR = 3.6, 95% CI: 1.4-8.9, p = 0.006). Conclusion Following fashion influencers on social media can influence health behaviors among Saudis, with both positive and negative outcomes. Critical evaluation of influencer content is crucial to avoid potential adverse effects. Further research is also needed to explore the dynamics of influencer impact on health outcomes and to develop strategies for effective health communication in the digital age.

Current practices and challenges of registered dietitians in the nutritional management of children with cerebral palsy in South Africa

Background: Feeding difficulties and subsequent malnutrition are common in children with cerebral palsy (CP). Objectives: A study was undertaken to determine the current practices and challenges of South African registered dietitians (SA RD) regarding the nutritional management of children with CP, to compare these practices with international guidelines and to compare the practices of private- and public-sector dietitians. Design: This was a cross-sectional descriptive study with an analytical component. Subjects and outcome measures: The SA RDs completed an online questionnaire, which was developed according to the European Society for Paediatric Gastroenterology Hepatology and Nutrition (ESPGHAN) guidelines. Participant answers were scored to assess their management of children with CP. Results: Of the 87 SA RDs who participated, 78 had work experience in CP (40 public and 38 private sector). Over two-thirds (n = 62/87, 71.2%) received training on the management of CP at university, albeit inadequate (n = 42/62, 67.7%). Common challenges that affect RDs’ management are poor caregiver compliance (n = 72; 92.2%) and poor networking between healthcare professionals (HCPs) (n = 60; 77.0%). The SA RD (n = 78) management of children with CP was significantly different from the ESPGHAN guidelines (p < 0.001). When comparing the total practice score, no significant difference was found between private- and public-sector RDs. The SA RDs did not achieve many of the recommended practices, particularly those pertaining to anthropometry. Conclusions: Improved training of SA RDs in the assessment and management of children with CP, and addressing barriers such as poor caregiver compliance, would enhance SA RDs’ competence to improve the nutritional management of children with CP.

Domestic Violence During Pregnancy and Risk of Obstetrical Complications

Context: Intimate partner violence is a phenomenon that affects a significant number of women and has an important impact on society. This conjugal violence against women can have important consequences on their health as well as on the health of the unborn child during pregnancy. Objectives and Methods: In order to assess the risk of obstetrical complications in women who are victims of domestic violence, we conducted a descriptive cross-sectional study with an analytical component to determine the association between domestic violence and obstetrical complications on the one hand, and to determine the factors associated with domestic violence on the other. The descriptive part consisted of determining the prevalence of domestic violence and neonatal complications, and describing the different types of violence. A questionnaire was self-administered to pregnant women who came for prenatal consultations at the Dschang District Hospital. Results: Amongst 320 women approached, 300 agreed to participate in the study. The overall prevalence of spousal violence was 37.33%, and the prevalence of spousal violence during pregnancy was 13.33%; the prevalence of neonatal complications was 20.7%, premature deliveries accounted for 7.7%, miscarriages 7%, stillbirths 6.7%, while the prevalence of low birth weight babies was 1.7%. Domestic violence was significantly associated with neonatal complications (OR=4.1 p value=0.000). Regarding the types of violence, verbal and psychological violence had a frequency of (108)36%, physical violence which represented (40) 13.3%, control and financial violence represented (23) 7.7% and (30) 10% respectively; sexual violence was the least represented with (20) 6.7%. Regarding the factors associated with domestic violence, the 25-34 age group of the woman (p value 0.02, OR: 4.2), consumption of alcohol by the partner (p value 0.02, OR: 4.14) and the history of violence before pregnancy (p value 0.001, OR: 92.91) were significantly associated with domestic violence. Conclusion: Early identification of abuse in pregnant women and taking steps to prevent it may reduce the occurrence of these adverse outcomes.

ДЕЯКІ АСПЕКТИ СТРАТЕГІЧНОГО УПРАВЛІННЯ ІННОВАЦІЙНИМ РОЗВИТКОМ ПРОМИСЛОВИХ ПІДПРИЄМСТВ У КОНТЕКСТІ ДІДЖИТАЛІЗАЦІЇ

The article describes methodical approaches to the formation of the strategy of innovative development of industrial enterprises based on the Burennikova (Polishchuk)-Yarmolenko component effectiveness models, which are based on the characteristics of the category of effectiveness of any process (including the process of innovative development) using the category of effectiveness of the process as a combination its scale – the quantitative component and efficiency – the qualitative component. The purpose of the article is to reveal approaches to the formation of the innovative development strategy of industrial enterprises as micro-level systems in the context of management based on indicators of the effectiveness of the components of the innovative development process using SEE analysis as part of the SEE management mechanism in the context of digitalization. It is emphasized that the implementation of the SEE-management algorithm is based on a certain mechanism, which contains SEE-analysis and other tools, which, along with the known characteristics, cover a set of indicators of the components of the effectiveness of the innovative development process. The SEE-analysis of the process of innovative development of industrial enterprises as complex systems at the micro level means the analysis of the effectiveness of this process on the basis of the above-mentioned models and their indicators. It was determined that the proposed methodology, thanks to SEE-management, can contribute to the adoption of scientifically based management decisions regarding the innovative development of enterprises, including in the context of digitalization. A refined definition of the definition "digitalization" is given. It is believed that the use of a system of indicators in the models of the components of the effectiveness of the innovation development process will make it possible to implement in practice a comprehensive approach to the analytical, prognostic and other components of management (in particular, SEE-management) of the innovative development of industrial enterprises, starting with making a decision about the feasibility of innovations and ending with evaluation effectiveness of the innovative development process.

NCI Cancer Research Data Commons: Cloud-Based Analytic Resources.

The NCI's Cloud Resources (CR) are the analytical components of the Cancer Research Data Commons (CRDC) ecosystem. This review describes how the three CRs (Broad Institute FireCloud, Institute for Systems Biology Cancer Gateway in the Cloud, and Seven Bridges Cancer Genomics Cloud) provide access and availability to large, cloud-hosted, multimodal cancer datasets, as well as offer tools and workspaces for performing data analysis where the data resides, without download or storage. In addition, users can upload their own data and tools into their workspaces, allowing researchers to create custom analysis workflows and integrate CRDC-hosted data with their own. See related articles by Brady et al., p. 1384, Wang et al., p. 1388, and Kim et al., p. 1404.

Enhancing real-time cell culture monitoring: Automated Raman model optimization with Taguchi method.

Raman spectroscopy has found widespread usage in monitoring cell culture processes both in research and practical applications. However, commonly, preprocessing methods, spectral regions, and modeling parameters have been chosen based on experience or trial-and-error strategies. These choices can significantly impact the performance of the models. There is an urgent need for a simple, effective, and automated approach to determine a suitable procedure for constructing accurate models. This paper introduces the adoption of a design of experiment (DoE) method to optimize partial least squares models for measuring the concentration of different components in cell culture bioreactors. The experimental implementation utilized the orthogonal test table L25(56). Within this framework, five factors were identified as control variables for the DoE method: the window width of Savitzky-Golay smoothing, the baseline correction method, the order of preprocessing steps, spectral regions, and the number of latent variables. The evaluation method for the model was considered as a factor subject to noise. The optimal combination of levels was determined through the signal-to-noise ratio response table employing Taguchi analysis. The effectiveness of this approach was validated through two cases, involving different cultivation scales, different Raman spectrometers, and different analytical components. The results consistently demonstrated that the proposed approach closely approximated the global optimum, regardless of data set size, predictive components, or the brand of Raman spectrometer. The performance of models recommended by the DoE strategy consistently surpassed those built using raw data, underscoring the reliability of models generated through this approach. When compared to exhaustive all-combination experiments, the DoE approach significantly reduces calculation times, making it highly practical for the implementation of Raman spectroscopy in bioprocess monitoring.

FARMACOVID: Longitudinal Study of the Profile and Management of Drug Interactions in Critically Ill Patients with COVID-19

Background: Critically ill patients with COVID-19 have important risk factors for drug– drug interactions. Objective: This study aimed to characterize and describe the profile and management of drug–drug interactions in critically ill patients affected by COVID-19 in a tertiary care hospital in Colombia. Methods: A descriptive retrospective cohort with an exploratory analytical component was used. The medical records of 191 patients were reviewed from August 2020 to February 2021. An initial descriptive analysis was performed, and a bivariate analysis was developed to include variables of significance in a multivariate analysis. Results: In our cohort of critically ill patients, the following factors were associated with a higher risk of major outcome development: a higher age (p = 0.037), Charlson comorbidity index (CCI) (p = 0.001), Sequential Organ Failure Assessment (SOFA) score (p = 0.001), a greater number of prescribed drugs, number of interactions, and the presence of type-D interactions. Conclusion: Identifying clinical predictors and types of drug interactions may alter the development of major outcomes such as mortality.

FIRE DESIGN OF STEEL MEMBER BY COMPONENT‐BASED FINITE ELEMENT METHOD

AbstractThe Component‐Based Finite Element Method (CBFEM) is the quite commonly used method to analyse and design connections of steel structures. It is the combination of the analytical component method and the numerical Finite Element Method (FEM). In this paper, the CBFEM is applied to analyse steel beams and columns at elevated temperature. The main objective of this study is to verify the CBFEM for predicting the resistance of steel members at elevated temperatures.

Church Conceptualization of Socialism in Russia of the Second Half of the 19th and the 20th Centuries

The article is a refl ection and review of the “The Orthodox Church and Socialism. The second half of the 19th–20th centuries» anthology, published by “Vladimir Dal” publishing house in 2023. The anthology consists of a large number of texts, the importance of which can’t be overestimated. The texts are arranged in chronological order and provided with succinct comments, thus representing a chronicle of church attitude to socialism evolution in the second half of the 19th and the 20th centuries: from perception it as an alien alternative to church spiritual values, to the half-way consent with the 20th century cultural life thesis of principally “social” orientation of Christianity in its ethics of love and mercy. The analytical component of the article allows us to focus on the anthology texts that are most important for understanding not only issue of the “Orthodox Church and socialism” itself, but also its evolution over the one and a half century of our state existence. The author of the article considers the anthology especially relevant these days then Russian society begins to think and concentrate of social justice. The variety of the views demonstrated by the authors of the anthology give us a good understanding of the socialism signifi cance in the past and in our time

ОБЛІКОВО-АНАЛІТИЧНЕ ЗАБЕЗПЕЧЕННЯ ІМПОРТУ МЕДИЧНОГО ОБЛАДНАННЯ

The aim of the research was to assess the state of the medical equipment market and its import, construct an algorithm (stages) of this process, and identify components related to accounting organization to enhance the efficiency of such assets in unstable conditions. To achieve this, the positions of modern scholars dedicated to the import of medical equipment and its accounting and analytical support were critically evaluated. The dynamics of the global market for medical technologies and their import into Ukraine were identified. Based on the obtained results, a reasoned scheme of import stages was constructed. The components, sequence of implementation, significance, and content of each stage were justified. The proposed step-by-step logical scheme of medical equipment import includes organizational, methodical-accounting, and analytical components. The main characteristics of each stage were identified, and improvements were proposed for elements belonging to the accounting system, such as the use of accounting records, the ability to simultaneously use various equipment acquisition sources, and the conduct of valuation procedures to justify the optimal selection. The proposed import stages will allow healthcare entities to organize the process of medical equipment procurement efficiently and with maximum benefit. They contribute to improving vital classical management functions, namely accounting and analysis, by enhancing their informativeness and completeness. Adherence to the import stages will not only contribute to the efficiency of representatives responsible for medical equipment supply and quality within our country but also enable consumers to actively participate in improving its utilization through improved accounting and analysis methods.

Quality of Life of Women with Polycystic Ovary Syndrome.

Background and Objectives: Polycystic ovary syndrome (PCOS) is an endocrine disorder characterized by multiple hormonal and metabolic abnormalities, including insulin resistance, hyperandrogenism, and disturbances in lipid and carbohydrate metabolism. The objective of this study is to assess the quality of life of women diagnosed with polycystic ovary syndrome (PCOS) and to identify any factors within the study group that may impact the scores related to quality of life. Materials and Methods: This research was carried out among women diagnosed with PCOS. An original questionnaire, developed through an online Google Forms survey, was utilized as the research instrument and distributed through social networks and support groups to women facing PCOS. This study encompassed a participant pool of 200 women with PCOS, aged 24 years or older. For the analytical component, Pearson's χ2 test was employed-a nonparametric test designed to assess the relationship between two variables measured on a qualitative scale. The chosen level of statistical significance was set at p < 0.05. Results: The analysis revealed that the quality of life of the women under study was not linked to the duration of the disease or comorbidities. However, a significant association was observed with the inconvenience caused by PCOS symptoms. Women experiencing very bothersome symptoms of PCOS reported a lower quality of life compared to those with symptoms rated as not very bothersome. Despite the majority of women with PCOS rating their quality of life as good or very good, they often find the associated symptoms of PCOS bothersome. Women reporting lower quality of life tend to acknowledge the impact of PCOS on their lives, experience a sense of lack of control over the disease, struggle with depression, and do not accept their physical appearance. Conclusions: Hence, the support from specialists like endocrinologists, gynecologists, and nutritionists becomes crucial for many women dealing with PCOS. Adopting a healthy lifestyle, incorporating a balanced diet, and engaging in regular physical activity can assist in managing the troublesome symptoms of PCOS, thereby enhancing overall quality of life. In instances of emotional difficulties, seeking psychological support is equally important, and the significance of support and acceptance from loved ones should not be overlooked.