Set Of Values Research Articles

A comprehensive investigation of uncertainties in cavitating waterjet experiments

This paper systematically examines the sources of uncertainty in cavitating waterjet test setups and provides illustrative case studies to conduct thorough uncertainty analyses for erosion tests using cavitating waterjet method. Within this study, utilizing examples of uncertainty analysis presented by the International Towing Tank Conference (ITTC) for various testing techniques, a novel uncertainty analysis implementation suitable for cavitating waterjet tests has been conducted. Firstly, cavitation erosion experiments were carried out on samples aluminum (Al 6063) material under cavitation number conditions (σ = 0.02 to σ = 0.033 range) as part of the validation study. Subsequently, within the scope of uncertainty analysis calculations, five erosion tests were conducted for each of the two different cavitation numbers (σ = 0.03 and σ = 0.05). The study aims to examine the bias and precision uncertainty components separately for the test results of erosion rate and establish a reliable and repeatable procedure for predicting the uncertainty level of cavitating waterjet tests. For the first time in the literature, the uncertainty components of cavitating waterjet tests were investigated in detail and the uncertainty level in cavitating waterjet tests, including bias and precision errors, was predicted in accordance with specific ITTC guidelines and procedures. Based on the results, the primary bias error source was identified as the pressure inside the cavitation chamber, with the nozzle pressure being the second most significant bias error source. Consequently, it is recommended to perform the bias error prediction based on the ratio of these two, known as the cavitation number. Precision error, crucial for uncertainty, was estimated using five sets of erosion rate values, emphasizing its importance in cavitating waterjet tests. It is anticipated that the suggested methodology will serve as a benchmark for predicting uncertainty levels in cavitating waterjet tests.

METHODOLOGICAL CHALLENGES OF RESEARCH ON PROBLEMS OF SOCIALIZATION OF PERSONALITY IN THE CONTEXT OF THE RUSSIAN-UKRAINIAN WAR

Relevance. Despite being traditional and important for psychological and sociological sciences, the problem of socialization remains vulnerable to criticism due to the apologetic nature of its theoretical and methodological foundations. Within the limits of traditional approaches, the success or failure of the process and results of socialization are considered, in fact, in the interests of the officially recognized state ideology with a corresponding set of ideals and values. This may be acceptable for countries with established democratic regimes, but it generates many insidious questions in the conditions of confrontation between societies with different civilizational reference points. This is the situation we have today in the context of the russian-Ukrainian war. Methodology is based on the discursive approach, which does not deprive the researcher of the right to evaluate socialization from his or her ideological position, but excludes the extrapolation of these evaluations to the psychological (procedural) content of socialization. According to this approach, the discourses in which socialization takes place, rather than its psychological content itself, can be evaluated from a moral or ideological perspective. This allows for a more realistic evaluation of the socialization experience of different societies, different countries and peoples, for comparison, etc. People’s participation in the reproduction and development of discourse can be traced by the results of monitoring all-Ukrainian representative surveys conducted by the Institute of Social and Political Psychology of the National Academy of Sciences of Ukraine since the early 1990s. Results. During this time, the territorial-state discourse has gradually formed as a leading one in Ukrainian society. Its value imperative is the attitude of state independence. About 80% of citizens believe that although there are many obstacles in the way of our statehood, Ukraine should still be independent.

Responding to economic abuse: An institutional logics analysis of feminist activism

AbstractEconomic abuse (EA)—intimate partners' efforts to control women's economic resources—still suffers from ambiguous legal recognition. Even in countries with legal recognition, state allocation of resources for support remains meager. We suggest that Israeli state welfare organizations (SWOs) employees have developed their professional response to EA along two distinct value sets—a dominant institutional logic in their respective organizations and a more covert feminist institutional logic encountered in collaborations with feminist Non Governmental Organizations. Using a framework of multiple institutional logics, in interviews with 48 SWO employees, we map the multiple institutional logics that cultivate responses to EA survivors and show that elements of feminist understanding and practices on EA permeate SWOs' practices. The existence of a feminist institutional logic creates a path for exploring whether the feminist impact is significant in enabling committed responses to EA even while no institutional change is achieved.

Parametric Dynamic Simulation and Bayesian Design Optimization of a Front-Loading Washing Machine

Abstract Objective This paper presents the dynamic modeling and design optimization of a fully parametrized front-loading washing machine. Methods A thorough mathematical analysis is performed to capture the effect of nine design variables (including rotation speed, spring stiffness, weight balancer mass density, damping coefficient, spring and damper angles) on vibrational characteristics of the washing machine. The parametric simulation reveals a complex relationship between the vibrational dynamics and design variables, entailing a computationally efficient optimization approach. A Bayesian Optimization (BO) framework is developed, in which a Gaussian process model and Genetic Algorithm (GA) are utilized along with carefully selected acquisition functions to enable adaptive sampling and search for optimal design values. The objective function is to minimize the maximum amplitude of the tub displacement inside the washing machine body. Two case studies are performed to consider a different number of design variables and choices of various infill methods. Results Results show that the fully parametrized front-loading washing machine model is applicable for parametric simulation and design optimization. The proposed BO is able to successfully find a set of design variable values corresponding to the lowest maximum displacement for vibration reduction. A comparison analysis is also carried out to exhibit the difference in optimization convergence and computational cost caused by the choice of acquisition functions. Conclusion It is shown that the fully parametrized washing machine model yields a lower maximum displacement than the model with fewer design variables. Of the two acquisition functions studied for optimization, the Expected Improvement function converges more rapidly than the Lower Bound criterion.

Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire

Abstract Purpose This study aimed to develop a Japanese value set for the EORTC QLU-C10D, a multi-attribute utility measure derived from the cancer-specific health-related quality-of-life (HRQL) questionnaire, the EORTC QLQ-C30. The QLU-C10D contains ten HRQL dimensions: physical, role, social and emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems. Methods Quota sampling of a Japanese online panel was used to achieve representativeness of the Japanese general population by sex and age (≥ 18 years). The valuation method was an online discrete choice experiment. Each participant considered 16 choice pairs, randomly assigned from 960 choice pairs. Each pair included two QLU-C10D health states and life expectancy. Data were analyzed using conditional logistic regression, parameterized to fit the quality-adjusted life-year framework. Preference weights were calculated as the ratio of each dimension-level coefficient to the coefficient for life expectancy. Results A total of 2809 eligible panel members consented, 2662/2809 (95%) completed at least one choice pair, and 2435/2662 (91%) completed all choice pairs. Within dimensions, preference weights were generally monotonic. Physical functioning, role functioning, and pain were associated with the largest utility weights. Intermediate utility weights were associated with social functioning and nausea; the remaining symptoms and emotional functioning were associated with smaller utility decrements. The value of the worst health state was − 0.221, lower than that seen in most other existing QLU-C10D country-specific value sets. Conclusions The Japan-specific QLU-C10D value set is suitable for evaluating the cost and utility of oncology treatments for Japanese health technology assessment and decision-making.

Improved clinical data imputation via classical and quantum determinantal point processes

Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, there is no canonical approach for imputation of clinical data and widely used algorithms introduce variance in the downstream classification. Here we propose novel imputation methods based on determinantal point processes (DPP) that enhance popular techniques such as the multivariate imputation by chained equations and MissForest. Their advantages are twofold: improving the quality of the imputed data demonstrated by increased accuracy of the downstream classification and providing deterministic and reliable imputations that remove the variance from the classification results. We experimentally demonstrate the advantages of our methods by performing extensive imputations on synthetic and real clinical data. We also perform quantum hardware experiments by applying the quantum circuits for DPP sampling since such quantum algorithms provide a computational advantage with respect to classical ones. We demonstrate competitive results with up to 10 qubits for small-scale imputation tasks on a state-of-the-art IBM quantum processor. Our classical and quantum methods improve the effectiveness and robustness of clinical data prediction modeling by providing better and more reliable data imputations. These improvements can add significant value in settings demanding high precision, such as in pharmaceutical drug trials where our approach can provide higher confidence in the predictions made.

Men’s Violence against Women as Portrayed in the Swedish Media: The Construction of Victimhood and the Role of the Perpetrator

Men’s violence against women is an international problem and while global and national initiatives have been created to better the criminalization process, the influence of news reporting on violence against women has not been successfully addressed in such policy. The aim of this study is to contribute to understanding how media frames violence against women in the Swedish context, which is both highly protective of crime reporting and where violence against women is a central policy and public discussion issue. A mixed methods approach was used in the analysis of 295 digital news articles that were published by four media outlets (Aftonbladet, Expressen, Svenska Dagbladet and Dagens Nyheter) within the period January 1st, 2019–December 31st, 2021. The study found that digital news articles first frame the issue of violence against women as episodic, but later transform into a thematic frame when follow-up articles were written on a given case. The study found a construction of victimhood by Swedish news media that allowed for two victim personas to be identified: the ideal victim and the ideal minority victim. In connection with the portrayal of the victim, the study also identified two different portrayals of the perpetrator: the ideal foreign perpetrator and the Swedish perpetrator. Both the description of the victim and perpetrator allowed for insights to be made regarding the role of racialization in news reporting and how this effects the framing of social issues. Finally, the study presented a set of news values that were most frequently found in articles that reveal several news factors of violence against women that contribute to the topic being seen as newsworthy.

Transient overvoltage suppression of LCC‐HVDC sending‐end system based on DC current control optimisation

AbstractThe receiving‐end system AC fault of the line‐commutated‐converter‐based high voltage direct current (LCC‐HVDC) will lead to commutation failure of the inverter side. During the fault and its recovery, AC transient low voltage and transient overvoltage (TOV) will occur in the sending‐end system. The TOV has the risk of triggering the disorderly off‐grid of the nearby renewable power generations. Besides, in a serious situation, it will threaten the power system to maintain a secure and steady operation. Therefore, the authors analyse the mechanism involved in the AC transient voltage during the AC fault and the recovery period first. It reveals that the key factor causing the TOV of the sending‐end system is the setting of the DC current reference value. Then, a DC current reference value limit method based on the AC TOV sampling value is proposed, which is used to accelerate DC current recovery and suppress the TOV of the sending‐end system. Finally, the effectiveness of the designed control method has been confirmed through electromagnetic transient simulations using the CIGRE HVDC benchmark model and a ±800 kV HVDC transmission system model situated in Northwest China.

Development and validation of a predictive model for the risk of sarcopenia in the older adults in China

BackgroundSarcopenia is a progressive age-related disease that can cause a range of adverse health outcomes in older adults, and older adults with severe sarcopenia are also at increased short-term mortality risk. The aim of this study was to construct and validate a risk prediction model for sarcopenia in Chinese older adults.MethodsThis study used data from the 2015 China Health and Retirement Longitudinal Study (CHARLS), a high-quality micro-level data representative of households and individuals aged 45 years and older adults in China. The study analyzed 65 indicators, including sociodemographic indicators, health-related indicators, and biochemical indicators.Results3454 older adults enrolled in the CHARLS database in 2015 were included in the final analysis. A total of 997 (28.8%) had phenotypes of sarcopenia. Multivariate logistic regression analysis showed that sex, Body Mass Index (BMI), Mean Systolic Blood Pressure (MSBP), Mean Diastolic Blood Pressure (MDBP) and pain were predictive factors for sarcopenia in older adults. These factors were used to construct a nomogram model, which showed good consistency and accuracy. The AUC value of the prediction model in the training set was 0.77 (95% CI = 0.75–0.79); the AUC value in the validation set was 0.76 (95% CI = 0.73–0.79). Hosmer–Lemeshow test values were P = 0.5041 and P = 0.2668 (both P > 0.05). Calibration curves showed significant agreement between the nomogram model and actual observations. ROC and DCA showed that the nomograms had good predictive properties.ConclusionsThe constructed sarcopenia risk prediction model, incorporating factors such as sex, BMI, MSBP, MDBP, and pain, demonstrates promising predictive capabilities. This model offers valuable insights for clinical practitioners, aiding in early screening and targeted interventions for sarcopenia in Chinese older adults.

Novel bow-shaped local resonance acoustic metamaterials with ultra-wide low-frequency stopband: Design, modeling, and testing

Abstract This paper proposes a novel bow-spring local resonance (LR) structure featuring an exceptionally wide low-frequency stopband. Unlike traditional methods reliant on heavy mass or stiffness adjustments, this structure effectively manipulates and amplifies the dynamic characteristics of negative stiffness solely by designing parameter values for the bow-spring set. Through finite element method (FEM) analysis, an ultra-wide stopband ranging from 91 to 570 Hz is achieved within the LR structure. Further modification of the connection pattern with a perforated plate extends the upper edge to 686 Hz while reducing the lower edge to 76 Hz. Most notably, within the novel bow-spring LR structure, a stopband width of 610 Hz is attained, resulting in a gap-mid gap ratio of 160.1%. The numerical and experimental results demonstrate good agreement. These findings offer a new perspective and guidelines for developing LR structures with ultra-wide low-frequency stopbands, potentially finding applications in the field of low-frequency vibration and noise reduction.

The European Union’s leadership in the eyes of others at the UN Human Rights Council

ABSTRACT The policy documents of the European Union underline its self-image as a leader in promoting and protecting human rights in multilateral fora. The leadership claims are based on the EU’s example in domestic human rights protection and willingness to promote externally the same set of values and norms. However, drawing on interactionist role theory, this article emphasises the extent to which the roles depend on recognition by others. Hence, leadership claims need acceptance from other stakeholders. The article studies external perceptions of EU’s leadership in the Human Rights Council framework using data from interviews of Geneva-based, non-EU diplomats and human rights experts. The findings present a variable picture; while structural and exemplary leadership is recognised, incoherencies diminish EU’s credibility. The EU has improved its cognitive leadership, but its agenda is contested by others. Finally, the EU has negotiation capacities, but its strategy does not always optimally support the leadership ambitions.

What do we really know about vital pulp therapy?

Retrospective cohort study using STROBE cohort reporting guidelines. Patients from Mehr Dental Clinic in Tehran, Iran, who received different types of vital pulp therapy (VPT) by a single endodontist, due to carious pulpal exposure, between April 2011 and October 2022. These were: Full Pulpotomy (FP), Miniature Pulpotomy (MP) and Direct Pulp Capping (DPC). Data were accessed via the dental clinic's electronic database. Patients were deemed eligible if they had pulpal exposure due to caries, but not trauma. Pre-operative, immediate post-operative and at least one follow-up radiograph at a minimum 3-month interval were required. Demographic, diagnostic, and procedural data as well as informed consent were also required. Teeth with probing depths greater than 4 mm or pulpal necrosis were excluded. Patient, tooth and treatment factors were statistically analysed for an outcome of success or failure using a Cox proportional hazards model. Kaplan/Meier curves were used to establish the mean survival times. The Log-rank test was used to compare survival across the three treatment groups. The Omnibus test of model and the -2 log likelihood ratio (-2LL) were used to assess sensitivity and model fitness. Statistical analyses were determined using the IBM SPSS Statistics for Windows Version 21.0, with P value set at <0.05. 1257 VPTs from 1149 patients had complete data and were used in the analysis. 802 cases were excluded due to no follow up radiograph. The VPT cases were divided into FP (n = 272), MP (n = 217) and DPC (n = 768). The average follow up was 42.21 months, with an overall 116-month survival rate of 99.1% and success rate of 91.6%. FP had a mean survival time of 99.43 months; for MP it was 104.26 months; for DPC it was 102.27 months. There were no significant differences between these groups (P = 0.363). There were statistically significant correlations between symptomatic Irreversible Periodontitis (IP), radiographic signs of Apical Periodontitis (AP), restoration type, restoration surfaces and the outcome of VPT. This is one of the largest cohort studies of its kind, with over 1250 cases of various VPT techniques in 10 years. There was deviation from gold standard practice, with lack of rubber dam. A lack of haemostasis after 2 min could be construed as bacterially infected pulpal tissue and require further resection of pulp. Yet, these approaches still resulted in successful outcomes. Another interesting finding was that symptomatic IP with associated AP was treated with VPT, with a 78% success rate. Considering this study and other emerging evidence in the literature, application of VPT as an alternative to conventional Root Canal Treatment could be adopted in general practice, depending on the skills and knowledge of the practitioner and patient preferences.

Similar or different? An analysis of the organisational values expressed by public and private Turkish universities

Similar or different? An analysis of the organisational values expressed by public and private Turkish universities

Application of optimized sparse encoding algorithm in data compression

Data transmission is crucial in the process of equipment monitoring. The compression algorithms are adopted to reduce the amount of data transmission. When sparse encoding algorithms are used for this purpose, despite extensive attempts to improve their performance, some problems still remain. The main issues pertain to: (1) Dictionary construction − As practical dictionary better matches the input signal, such a dictionary must be efficiently established; 2) The setting of sparsity value − It is difficult to determine the size of sparsity values when prior knowledge is insufficient (when the parameter settings are too large, the cost of data transmission increases considerably, while excessively small values can result in poor reconstruction accuracy); and (3) How to implement engineering applications of data compression based on sparse encoding. To address these issues, in this work, an optimized sparse encoding algorithm is proposed by combining the non-negative Online Dictionary Learning (ODL) with the optimized Orthogonal Matching Pursuit (OMP) algorithm. First, a non-negative ODL algorithm is adopted for dictionary learning based on the training dataset to obtain an effective dictionary. Next, the optimized OMP algorithm is used to obtain the sparsity and the sparse coefficient matrix. Further analyses confirm that the reconstructed signal has a small reconstruction error. Finally, A lossy compression framework is proposed for the compressing equipment condition monitoring data using sparse encoding algorithms. Compared with the compression algorithms based on compressive sensing and DCT, the average compression ratio can reach 42.7 when the reconstruction accuracy is similar. In terms of comprehensive compression performance, the quality score is also higher compared to other algorithms.

Telemedicine in Nail Psoriasis: Validation of a New Tool to Monitor (In-Person, In-Picture, and In-Video) Nail Psoriasis Severity in Patients with Concurrent Onychophagia and Onychotillomania.

Since during the COVID-19 pandemic nail psoriasis was evaluated exclusively with teledermatology, dermatologists started to face the difficulty in rating it concurrent with other onycopathies (i.e., onychotillomania and onychophagy). Thus, we aimed to improve the existing severity scores and verify the value in different clinical settings (i.e., in person vs. teledermatology (video or picture)). This multicenter prospective observational study evaluated patients with nail psoriasis and screened them for onychophagy or onychotillomania in telemedicine from May2020 to January 2021. For therapeutic purposes patients with nail psoriasis were followed and rated with the Nijmegen-Nail psoriasis Activity Index tooL (N-NAIL) for 9months; at the same time, N-NAIL and a new dedicated index that monitor also the changes in nail dimension (Galeazzi-(G) N-NAIL) were tested for accuracy. We assessed inter- and intraobserver agreement for the three different settings (in person, video, and pictures). In our cohort of 382 patients with nail psoriasis after a clinical and dermatoscopic assessment we found 20 (5.24%) patients with onychophagy and 17 (4.45%) patients with onychotillomania. Analysis of the impact of nail psoriasis on patients revealed that onycholysis and crumbing, followed by subungual hyperkeratosis, were the clinical signs that prevalently bothered patients. N-NAIL score displayed moderate intra- and interobserver agreement. Over the 9months follow-up, N-NAIL vs. GN-NAIL displayed a solid correlation at all the examined time points, i.e., baseline and after 3, 6, and 9months. We created a new tool, the GN-NAIL capable of efficiently scoring nail psoriasis severity in complex cases, such as patients with onychotillomania and onychophagy, and monitor response to treatment during the COVID-19 pandemic.

THE INFLUENCE OF BRAND AWARENESS, PERCEIVED QUALITY, BRAND ASSOCIATIONS, AND BRAND LOYALTY ON THE BRAND EQUITY OF OPPO SMARTPHONES

Brand equity is a set of assets and values associated with a brand. Several factors influence it, namely brand awareness, perceived quality, brand associations, and brand loyalty. This research is expected to provide insight to understand the influence of brand awareness, perceived quality, brand associations, and brand loyalty on the brand equity of Oppo smartphones. This research used purposive sampling as the sampling method, the questionnaire as the data collection method, and distributed to 145 students of the Faculty of Business, PGRI University of Yogyakarta. The data were evaluated using validity and reliability tests and analyzed with partial, simultaneous, and multiple linear regression tests. Partial positive impact is shown by brand awareness, brand association, and brand loyalty on brand equity. However, perceived quality has a negative effect on brand equity. The simultaneous impact is shown by brand awareness, perceived quality, brand association, and brand loyalty on the brand equity of the Oppo smartphone. However, this research has a small sample size and limited variables used; future research is expected to expand the sample size and include new variables.

Accountability for maternal and newborn health: Why measuring and monitoring broader social, political, and health system determinants matters.

This article offers four key lessons learned from a set of seven studies undertaken as part of the collection entitled, "Improving Maternal Health Measurement to Support Efforts toward Ending Preventable Maternal Mortality". These papers were aimed at validating ten of the Ending Preventable Maternal Mortality initiative indicators that capture information on distal causes of maternal mortality. These ten indicators were selected through an inclusive consultative process, and the research designs adhere to global recommendations on conducting indicator validation studies. The findings of these papers are timely and relevant given growing recognition of the role of macro-level social, political, and economic factors in maternal and newborn survival. The four key lessons include: 1) Strengthen efforts to capture maternal and newborn health policies to enable global progress assessments while reducing multiple requests to countries for similar data; 2) Monitor indicator "bundles" to understand degree of policy implementation, inconsistencies between laws and practices, and responsiveness of policies to individual and community needs; 3) Promote regular monitoring of a holistic set of human resource metrics to understand how to effectively strengthen the maternal and newborn health workforce; and 4) Develop and disseminate clear guidance for countries on how to assess health system as well as broader social and political determinants of maternal and newborn health. These lessons are consistent with the Kirkland principles of focus, relevance, innovation, equity, global leadership, and country ownership. They stress the value of indicator sets to understand complex phenomenon related to maternal and newborn health, including small groupings of complementary indicators for measuring policy implementation and health workforce issues. They also stress the fundamental ethos that maternal and newborn health indicators should only be tracked if they can drive actions at global, regional, national, or sub-national levels that improve lives.

Cancer-Specific Health Utilities: Evaluation of Core Measurement Properties of the EORTC QLU-C10D in Lung Cancer Patients-Data from Four Multicentre LUX-Lung Trials, Applying Six Country Tariffs.

Cost-utility analysis generally requires valid preference-based measures (PBMs) to assess the utility of patient health. While generic PBMs are widely used, disease-specific PBMs may capture additional aspects of health relevant for certain patient populations. This study investigates the construct and concurrent criterion validity of the cancer-specific European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility-Core 10 dimensions (QLU-C10D) in non-small-cell lung cancer patients. We retrospectively analysed data from four multicentre LUX-Lung trials, all of which had administered the EORTC Quality of Life Questionnaire (QLQ-C30) and the EQ-5D-3L. We applied six country-specific value sets (Australia, Canada, Italy, the Netherlands, Poland, and the United Kingdom) to both instruments. Criterion validity was assessed via correlations between the instruments' utility scores. Correlations of divergent and convergent domains and Bland-Altman plots investigated construct validity. Floor and ceiling effects were assessed. The comparison of the EORTC QLU-C10D and EQ-5D-3L produced homogenous results for five of the six country tariffs. High correlations of utilities (r > 0.7) were found for all country tariffs except for the Netherlands. Moderate to high correlations of converging domain pairs (r from 0.472 to 0.718) were found with few exceptions, such as the Social Functioning-Usual Activities domain pair (max. r = 0.376). For all but the Dutch tariff, the EORTC QLU-C10D produced consistently lower utility values compared to the EQ-5D-3L (x̄ difference from -0.082 to 0.033). Floor and ceiling effects were consistently lower for the EORTC QLU-C10D (max. 4.67% for utilities). The six country tariffs showed good psychometric properties for the EORTC QLU-C10D in lung cancer patients. Criterion and construct validity was established. The QLU-C10D showed superior measurement precision towards the upper and lower end of the scale compared to the EQ-5D-3L, which is important when cost-utility analysis seeks to measure health change across the severity spectrum.

An Efficient Homomorphic Argmax Approximation for Privacy-Preserving Neural Networks

An Efficient Homomorphic Argmax Approximation for Privacy-Preserving Neural Networks

Robust Predictive Control Strategy of SCIG-based Drive System

This article presents a robust finite control set predictive scheme for a stand-alone squirrel cage induction generator (SCIG) drive. This technique is considered an alternative to the drive system due to the inclusion of system nonlinearities and fast dynamic response. The control objective in the distributed generation environment is to fix the output voltage to follow the stand-alone requirement. The strategy establishes optimized switching instants for cost function minimization for both source and load converter control and diminished cross-coupling amid active and reactive power during transient scenarios. The scheme is designed to achieve the minimal effect caused by the parameter uncertainties. During source and load changes, this work will also address the maintenance of dc-link voltage, machine, and load variables at the set value, supported by machine and load-end converter control to achieve stand-alone load objectives. In addition, the presented scheme is also tested with random variation of speed to check the efficacy of the control configuration. The drive performance is evaluated by simulation using MATLAB/Simulink environment. Comprehensive real-time findings obtained from a scaled laboratory test bench using dSPACE-1104 are provided to verify the feasibility of the predictive solution.