Multifaceted Evaluation Research Articles

Predict the last closed-flux surface evolution without physical simulation

One of the main challenges in developing effective control strategies for the magnetic control system in tokamaks has been the difficulty in obtaining the last closed-flux surface (LCFS) evolution results from control commands. We have developed a data-driven model that combines a predictive model and a surrogate model for physics simulation programs. This model is capable of predicting the LCFS without relying on physical simulation codes. Addressing the data characteristics of LCFS, we have proposed a specialized discretization approach to achieve dimensionality reduction. Furthermore, we have excluding the control references, the model can be seamlessly integrated into the control system, providing real-time LCFS prediction. Following comprehensive testing and multifaceted evaluation, our model has demonstrated highly satisfactory results of 95% or above, meeting practical requirements.

How does parental rearing patterns of children in upper primary school impact social withdrawal? A mediating effect of emotional regulation.

The present study endeavors to elucidate the impact of emotional regulation and parental rearing patterns on the social development of children in the upper grades of primary school. A burgeoning body of literature suggests that these factors significantly influence children's social adaptation and emotional well-being, yet a comprehensive examination of these relationships is warranted. Employing a cross-sectional design, this investigation utilized the Egna Minnen Beträffande Uppfostran (EMBU), Emotional Regulation Questionnaire for Children (ERQC), and Child Behavioural Issues Scale (CBCL) to assess a sample of 276 pupils across grades 4-6. The selection of these instruments allowed for a multifaceted evaluation of the constructs of interest. A pronounced disparity in parental rearing practices, emotional regulation capabilities, and levels of social withdrawal was observed among the different grades, with grade 5 exhibiting the most pronounced effects. Parental emotional warmth demonstrated a significant positive correlation with children's emotional regulation abilities, while punitive, rejecting, and preferential behaviors were inversely correlated. The study established that parental rearing practices indirectly influence social withdrawal through the mediating role of children's emotional regulation, underscoring the complexity of this relationship. The results underscore the salient role of parental rearing and emotional regulation in the social development of children. The study contributes to the existing literature by providing a nuanced understanding of the mechanisms through which parenting styles and emotional competencies interplay to affect social withdrawal. Implications for educational practices and future research directions are discussed.

Design Principles for Data-Driven Decision Evaluation

Human-machine collaboration has potentially led to higher quality and more informed data-driven decisions. However, evaluating these decisions is necessary to measure the benefits, as well as enable experiential learning and posterior rationalization of the results and consequences. Nevertheless, the multiplicity of human-machine collaboration modes, as well as the multi-faceted nature of data-driven decisions complicates evaluation, and evaluation solutions are lacking both in research and in practice. This is further reflected in the complexity of incorporating evaluation in the design of such data-driven decision making systems, since developers are left without theoretically grounded and practically feasible principles to guide implementation. In this paper, we propose a set of five design principles, explicated from theory and practice, for systems implementing data-driven decision evaluation as the output of design science research cycles. The design principles are: 1) multi-faceted evaluation criteria, 2) unified viewpoint, 3) collaborative rationality, 4) processual ex-post evaluation, and 5) adaptive feedback and learning loops. They are further contextualized in the case of AI-enabled menu design at Antell, an innovative pioneer in the restaurant business in Finland, and consequently evaluated by the development managers of the project. Accordingly, the design principles contribute to the knowledge base on metahuman systems and data-driven decision evaluation, by concretizing existing normative concepts into prescriptive knowledge, also guiding future research and generalizing towards a design theory. Furthermore, they provide implementable statements for designing and developing such systems in practice and can be used as a checklist to compare and evaluate existing systems.

Efficacy of telerehabilitation with digital and robotic tools for the continuity of care of people with chronic neurological disorders: The TELENEURO@REHAB protocol for a randomized controlled trial.

Chronic Neurological Disorders (CNDs) are among the leading causes of disability worldwide, and their contribution to the overall need for rehabilitation is increasing. Therefore, the identification of new digital solutions to ensure early and continuous care is mandatory. This protocol proposes to test the usability, acceptability, safety, and efficacy of Telerehabilitation (TR) protocols with digital and robotic tools in reducing the perceived level of disability in CNDs including Parkinson's Disease (PD), Multiple Sclerosis (MS), and post-stroke patients. This single-blinded, multi-site, randomized, two-treatment arms controlled clinical trial will involve PD (N = 30), MS (N = 30), and post-stroke (N = 30). Each participant will be randomized (1:1) to the experimental group (20 sessions of motor telerehabilitation with digital and robotic tools) or the active control group (20 home-based motor rehabilitation sessions according to the usual care treatment). Primary and secondary outcome measures will be obtained at the baseline (T0), post-intervention (T1, 5 weeks after baseline), and at follow-up (T2, 2 months after treatment). a multifaceted evaluation including quality of life, motor, and clinical/functional measures will be conducted at each time-point of assessment. The primary outcome measures will be the change in the perceived level of disability as measured by the World Health Organization Disability Assessment Schedule 2.0. The implementation of TR protocols will enable a more targeted and effective response to the growing need for rehabilitation linked to CNDs, ensuring accessibility to rehabilitation services from the initial stages of the disease.

EEG-Based Evaluation of Aesthetic Experience Using BiLSTM Network

Evaluation of aesthetic design fulfills a pivotal function in product development, which urges for an efficacious objective method to measure customers’ experience. The stability and effectiveness of electroencephalography (EEG) make it a suitable tool for aesthetic experience measurement. Nevertheless, existing studies have several limitations, especially regarding the stimuli and the algorithm. The potential of an EEG-based deep learning model has not been verified in pinpointing subtle differences in physical product aesthetics. To fill the research gap in this issue, we recorded EEG signals in real-life scenarios when participants were presented with different types of physical smartphones, and asked participants to rate them from four dimensions of aesthetic experience (arousal, valence, likeness, and aesthetic evaluation). Then, the time–frequency data were fed into a spatial feature extraction network and an attention-based bidirectional long short-term memory (BiLSTM) optimized by the cross-entropy loss function. The result showed that at 16s window size, the four outcome models yielded the best joint recognition performance of aesthetic experience with an average accuracy of over 85% (arousal: 88.10%, valence: 87.97%, likeness: 85.99%, and aesthetic evaluation: 87.23%). It provides an objective cross-subject recognition method with multi-faceted evaluation results of aesthetic experience. Additionally, we verified the ability of EEG as a reliable and informative resource in terms of aesthetic experience evaluation, even with subtle differences. More practically, a future direction of incorporating EEG signals into subjective product aesthetics measurement could be given more credit.

Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numerical algorithm

In this research, we analyze the complex dynamics of hydro-magnetic flow and heat transport under Sorent and Dofour effects within wedge-shaped converging and diverging channels emphasizing its critical role in conventional system design, high-performance thermal equipment. We utilized artificial neural networks (ANNs) to investigation the dynamics of the problem. Our study centers on unraveling the intricacies of energy transport and entropy production arising from the pressure-driven flow of a non-Newtonian fluid within both convergent and divergent channel. The weights of ANN based fitness function ranging from − 10 to 10. To optimize the weights and biases of artificial neural networks (ANNs), employ a hybridization of advanced evolutionary optimization algorithms, specifically the artificial bee colony (ABC) optimization integrated with neural network algorithms (NNA). This approach allows us to identify and fine-tune the optimal weights within the neural network, enabling accurate prediction. We compare our results against the established different analytical and numerical methods to assess the effectiveness of our approach. The methodology undergoes a rigorous evaluation, encompassing multiple independent runs to ensure the robustness and reliability of our findings. Additionally, we conduct a comprehensive analysis that includes metrics such as mean squared error, minimum values, maximum values, average values, and standard deviation over these multiple independent runs. The minimum fitness function value is 1.32 × 10−8 computed across these multiple runs. The absolute error, between the HAM and machine learning approach addressed ranging from 3.55 × 10−7 to 1.90 × 10−8. This multifaceted evaluation ensures a thorough understanding of the performance and variability of our proposed approach, ultimately contributing to our understanding of entropy management in non-uniform channel flows, with valuable implications for diverse engineering applications.

Revisiting the porter hypothesis within the economy-environment-health framework: Empirical analysis from a multidimensional perspective

The question of whether environmental regulation fosters technological innovation and green development, as a nuanced extension of the Porter hypothesis, constitutes a focal point in contemporary research. Despite this attention, the literature often omits a multifaceted evaluation framework for green development and fails to consider multiaspectual environmental regulation and technological innovation. This study develops a comprehensive model of green total factor productivity (GTFP), situating the Chinese economy within an economy–environment–health nexus. The extended Crépon–Dugeut–Mairesse model is employed to revisit the “strong”, “weak”, and “narrow” Porter hypotheses. The analysis reveals that formal environmental regulation exerts a crowding-out effect on research and development (R&D), whereas informal environmental regulation exhibits a facilitating effect, corroborating the narrow version of the Porter hypothesis. Both categories of regulation contribute to substantial innovation. Following the incorporation of R&D factors, heterogeneity in the “weak” Porter hypothesis emerges in the Chinese context, contingent upon specific types of environmental regulation and technological innovation. Environmental regulation positively influences GTFP, affirming the “strong” Porter hypothesis, primarily through the vector of technical progress change. A developmental trajectory to enhance GTFP is thus articulated: judicious environmental regulation leads to R&D, which in turn fosters innovation quality, subsequently affecting the technical progress change index and ultimately GTFP. Correspondingly, policy recommendations are delineated across three dimensions: judicious environmental regulation, targeted innovation support, and regional coordination.

Effects of Project Implementation Practices on Project Performance in Tanzania: The Case of Mnazi Bay Gas

Purpose: The successful achievement of any project means that several of its perceived factors were attained. The success of projects depends on how the risks are mitigated and the way it is managed and controlled. This study examined project implementation management practices and their effects on the Mnazi Bay Gas Project Performance. Towards analysing the data, the study used the Resource Based Theory, Theory of Constraints, Management Theory, and Stakeholder Theory.
 Methodology: The study employed a descriptive approach and utilized primary and secondary research methods. The sample size for the study was 100 respondents which included residents around the project, local government leaders, political leaders as well as managers and officials managing the project. Out of 100 only 84 respondents were reached. This study employed simple random sampling and purposive sampling to recruit study sample. The quantitative data were collected through questionnaires and the collected data were analysed using descriptive analysis and presented through descriptive statistics.
 Findings: The study reveals a positive relationship between the successful implementation of the Mnazi Bay Gas project and its overall performance, notwithstanding the challenges associated with community involvement. The research significantly advances our understanding of how project management methods influence the project's success. furthermore, the study highlights the project's strengths, including effective implementation, skilled personnel, and clear communication channels, but also identifies weaknesses, particularly in community engagement. Moreover, the study underscores the impact of various management and implementation challenges, such as difficulties in community involvement, regulatory compliance, and environmental assessments, on the project's performance and ultimate success.
 Conclusion: The study leverages Resource-Based Theory to underscore the efficient utilization of available resources, demonstrating its impact on Mnazi Bay Gas project performance. It utilizes the Theory of Constraints to pinpoint and tackle critical bottlenecks within this resource-intensive project. Management Theory offers a comprehensive view of project management practices and evaluates diverse managerial approaches. Lastly, Stakeholder Theory provides a thorough analysis of stakeholder interests and involvement, shedding light on the intricate dynamics within Mnazi Bay Gas involving local and international stakeholders. This integration of theories enhances the study's analytical framework, enabling a multifaceted evaluation of project implementation practices and their influence on project performance. This study concludes that there is positive relationship between project implementation and the performance of the Mnazi Bay Gas project. Apart from challenges that were identified with regard to community involvement, the Mnazi Bay Gas project was implemented well. However, there are challenges which were identified during planning in so far as the indigenous or surrounding community of the project are concerned. They were not furnished with enough information about the project, their expectations were not met mainly employment to an uneducated and better life and the dissemination of information during planning was bias since the brochures and flyers used a foreign language which is English.
 Recommendations/Policy Implications: Theories enrich the study's analytical framework, facilitating a comprehensive assessment of project implementation practices and their influence on performance. Thus, with this achievement policymakers should consider resource allocation strategies to enhance project performance in resource-intensive endeavors and address critical bottlenecks within projects and implement measures to alleviate constraints. Practitioners involved in project implementation should focus on optimizing resource utilization. Practitioners should adopt a stakeholder-oriented approach, actively engaging with diverse stakeholders and considering their interests throughout the project's lifecycle.

The meaning of multicultural evaluation and meaningful evaluation: the importance of multifaceted responsive evaluation in higher education

ABSTRACT The interplay between evaluation, pedagogy, and curriculum has been researched extensively. But evaluation is often treated as an isolated component in academic settings, also neglecting multicultural aspects. Its purpose is to measure students’ achievements at the end of the course and function as distinctive criteria between high-achieving and low-achieving students. However, according to the constructivist approach, evaluation is embedded in the planning of curricula and pedagogical processes. Specifically, the content this article seeks to measure depends on the curriculum and the pedagogical processes. Not only is evaluation affected by these two components, but it also affects them. Therefore, all three components must be aligned and defined by the same goals and strengths. When these components are not aligned as is necessary, the educational process could be affected negatively. However, many variables are not considered nowadays, such as student gender, multiculturalism disabilities, and technological literacy. This article addresses this gap, discussing the implications of neglecting these variables.

A Neutrosophic Multi-Criteria Model for Evaluating Sustainable Soil Enhancement Methods and their Cost Implications in Construction

This paper provides a comprehensive overview of the application of life cycle assessment (LCA) to promote sustainable soil practices in construction foundation projects. The aim is to evaluate the environmental impact and long-term sustainability of soil-related activities in construction through the lens of LCA. This assessment encompasses a wide array of factors, including soil quality, erosion control, contaminant remediation, soil stability, conservation, drainage management, and compliance with regulatory standards. To address this multifaceted evaluation, we employ a multi-criteria decision-making (MCDM) model, specifically introducing the Multi-Attributive Border Approximation Area Comparison (MABAC) method. This MCDM technique is utilized to appraise the sustainability of soil practices and is integrated with a neutrosophic set to handle imprecise information. Our study incorporates nine criteria and eight alternative methods. Through the application of LCA, construction professionals can uncover strategies to minimize the carbon footprint of their projects, optimize soil utilization, and enhance the long-term resilience of their structures. Achieving a comprehensive LCA tailored to the specific requirements of each project and local regulations necessitates close collaboration between soil engineers, environmental experts, and construction practitioners.

High doses of opioids usage for amyotrophic lateral sclerosis patients with non-invasive ventilation.

While opioids have been found to be useful in relieving suffering in amyotrophic lateral sclerosis (ALS), there is a lack of evidence concerning how and how much to use them in practice. This study was conducted to clarify how opioids were used for patients with ALS. We performed a retrospective case-based analysis at a single tertiary neurology center in Tokyo from 2010 to 2018. We enrolled patients with ALS who had died before the end of 2018. We examined the opioid dosage equivalent of morphine hydrochloride and patients' clinical backgrounds, focusing on ventilatory support. Morphine was administered in 110 patients with ALS, and 84 were followed up until their death. Of these 84 patients, 57 (69.9%) did not use mechanical ventilation until death (no-MV group), and 21 (22.9%) utilized only non-invasive ventilation (NIV group). Final morphine dosage in the NIV group was significantly higher (mean 65.7mg [SD 54.6], range 10-200mg) than in the no-MV group (mean 31.7mg [SD 26.9], range 0-120mg; p = 0.015, Welch's t-test). The NIV group needed psychotropic drugs more frequently than the no-MV group (62% [n = 13] vs. 35% [n = 20]). Patients in the NIV group used opioids for a statistically significantly longer time and at a higher dose than those in the no-MV group. Symptom control with opioids alone may be difficult, and the development of multifaceted evaluation and care is desirable.

A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR

A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR

Evaluation and Analysis of Airside Economic Zone based on GIS Technology

The purpose of this paper is to establish a feasible indicator evaluation system for the Daxing Airport Airside Economic Zone, so as to make suggestions for the land development of Daxing Airport. The land use of Daxing Airport Airside Economic Zone may lack a reasonable planning and indicator evaluation system. Based on the results of indicator calculation, combined with the spatial analysis function of GIS, it explains the reasons for some uncoordinated development of the area, and makes targeted suggestions for improvement of the problems in each land use segment. This study aims to comprehensively assess the integrated benefits of commercial service utilization in the airport and airside areas, and therefore constructs a multi-faceted indicator evaluation system to comprehensively measure the advantages and disadvantages of land use.

Broadband Photodetectors and Imagers in Stretchable Electronics Packaging.

The integration of flexible electronics with optics can help realize a powerful tool that facilitates the creation of a smart society wherein internal evaluations can be easily performed nondestructively from the surface of various objects that is used or encountered in daily lives. Here, organic-material-based stretchable optical sensors and imagers that possess both bending capability and rubber-like elasticity are reviewed. The latest trends in nondestructive evaluation equipment that enable simple on-site evaluations of health conditions and abnormalities are discussed without subjecting the targeted living bodies and various objects to mechanical stress. Real-time performance under real-life conditions is becoming increasingly important for creating smart societies interwoven with optical technologies. In particular, the terahertz (THz)-wave region offers a substance- and state-specific fingerprint spectrum that enables instantaneous analyses. However, to make THz sensors accessible, the following issues must be addressed: broadband and high-sensitivity at room temperature, stretchability to follow the surface movements of targets, and digital transformation compatibility. The materials, electronics packaging, and remote imaging systems used to overcome these issues are discussed in detail. Ultimately, stretchable optical sensors and imagers with highly sensitive and broadband THz sensors can facilitate the multifaceted on-site evaluation of solids, liquids, and gases.

Central Sensitization in Cancer Survivors and Its Clinical Implications: State of the Art.

Although the prevalence of cancer pain is 47% after treatment, cancer pain is often underestimated, and many patients are undertreated. The complexity of cancer pain contributes to the lack of its management. Recently, as the mechanism of cancer pain, it has become clear that central sensitization (CS) influences chronic pain conditions and the transition from acute to chronic pain. In this state-of-the-art review, we summarized the association of CS or central sensitivity syndrome with pain and the treatment for pain targeting CS in cancer survivors. The management of patients with CS should not only focus on tissue damage in either the affected body regions or within the central nervous system; rather, it should aim to target the underlying factors that sustain the CS process. Pain neuroscience education (PNE) is gaining popularity for managing chronic musculoskeletal pain and could be effective for pain and CS in breast cancer survivors. However, there is a study that did not demonstrate significant improvements after PNE, so further research is needed. Precision medicine involves the classification of patients into subgroups based on a multifaceted evaluation of disease and the implementation of treatment tailored to the characteristics of each patient, which may play a central role in the treatment of CS.

임원 승진을 위한 리더십 평가 사례 연구

The purpose of this study was to explore and propose the improvement of leadership evaluation and development process for executive promotion candidates through A Company’s case. To this end, this study went through a preliminary diagnosis, case and achievement data collection, evaluation process and result collection, and evaluation procedures for sharing and adjusting evaluation results. Evaluation data were collected through organizational personnel data for multi-source evaluation and multi-faceted evaluation, self-essays, Hogan diagnosis, and interviews with respondents in the organization, and analyzed and evaluated according to A Company's leadership competency diagnosis frame. As a result of the study, first, the current leadership and future integrated executive leadership potential were finally derived from the cases of 2 executive candidates. Second, after restructuring using “accountability” and “complexity management” as a framework to confirm the future potential of executives, it was decided through an executive promotion recommendation matrix. Third, using the executive promotion recommendation matrix derived through leadership diagnosis, leadership development measures were derived according to the short-term and long-term leadership development framework. Through this study, it is expected that executive promoters will be provided a turning point for soft landing in their roles as executives.

Association between sarcopenia and exercise capacity in patients with pulmonary hypertension without left heart disease

BackgroundPulmonary hypertension (PH) has recently been described as a complex clinical syndrome affecting multiple organ systems, including the heart, lungs, and skeletal muscle, each of which plays an important role in exercise capacity. However, the relationship between exercise capacity and skeletal muscle abnormalities in patients with PH has not been fully elucidated. MethodsWe retrospectively analysed the exercise capacity and measures of skeletal muscle of 107 patients with PH without left heart disease (mean age 63 ± 15 years, 32.7% males, n = 30/6/66/5 in the clinical classification Group 1/3/4/5). ResultsSarcopenia, low appendicular skeletal muscle mass index, low grip strength, and slow gait speed, determined by international criteria, were found in 15 (14.0%), 16 (15.0%), 62 (57.9%), and 41 (38.3%) patients, respectively. The mean 6-min walk distance of all patients was 436 ± 134 m and was independently associated with sarcopenia (standardised β = −0.292, p < 0.001). All patients with sarcopenia showed reduced exercise capacity defined as 6-min walk distance < 440 m. Multivariable logistic regression analysis showed that each of the components of sarcopenia was associated with reduced exercise capacity (adjusted odds ratio and 95% confidence interval of appendicular skeletal muscle mass index: 0.39 [0.24–0.63] per 1 kg/m2, p = 0.006, grip strength: 0.83 [0.74–0.94] per 1 kg, p = 0.003, and gait speed: 0.31 [0.18–0.51] per 0.1 m/s, p < 0.001). ConclusionsSarcopenia and its components are associated with reduced exercise capacity in patients with PH. A multifaceted evaluation may be important in the management of reduced exercise capacity in patients with PH.

The effect of CIS BIPV as a shading device on building life cycle energy performance

ABSTRACT The purpose of this study is to evaluate the effect of CIS Building Integrated Photovoltaic as a shading device on building energy performance and PV life cycle. A multi-faceted BIPV energy evaluation approach is created. Energy performance is evaluated in two climate regions, in three scenarios for two transparency ratios of an office building. The case study indicated that when BIPV was used, in mild climates there was 24.82–41.05%, and in hot climates, 35.21–56.18% net energy consumption decreased. The PVs can produce 6.5–9.1 times the amount of energy consumed during manufacturing over the usage period. Finally, it was shown that the CIS technology contributes to sustainable architecture by reducing the integrated design difficulties in front of BIPV.

Phytoremediation as an urban paradigm in promoting the health-potential of small green areas.

This paper aims to present a methodical design of a small-scale urban green area with increased phytoremediation potential. The applied compilation-based method with a view to intensifying the regenerative potential of the shaped green area, determining both the quantitative potential of improving air quality and simultaneously identifying qualitative aesthetic features, comes out of recognition of the psychophysical nature of air pollution impacts on human health.A multifaceted evaluation of the designed solutions carried out using the Micrometeorological Computational Fluid Dynamics model (ENVI-met software) allows us to explore various properties of the plant layout and its influence on the PM2.5 concentration. The result of the CFD simulation indicated that the proper sequence in the plant layout may reduce the level of pollution concentration behind the green barrier by about 7-8%, on average. Simultaneously, we demonstrate that the assembly of plants, organised according to phytoremediation requirements, acts as passive protection from traffic-related pollution, and may offer high visual value ensuring the environment of positive cognitive stimuli. The correlation of these aspects maximises the benefits of nature-human relation, extending the scope of the 'restorative' as a concept and revealing the multifaceted potential of phytoremediation as a comprehensive method of urban green area design.

Analyses of tumor microenvironment affecting the survival in patients with ovarian cancer receiving intraperitoneal chemotherapy: Translational research from the phase 3 trial of intraperitoneal therapy for ovarian cancer with carboplatin (TRiPocc).

5555 Background: The iPocc trial is a randomized, global phase (P) 3 study of intraperitoneal (IP) versus intravenous (IV) carboplatin with dose-dense paclitaxel chemotherapy in epithelial ovarian cancer (EOC) patients that demonstrated an improved progression-free survival (PFS) but not overall survival (OS) in the former. IP chemotherapy induces an antitumor immune response and increases survival in a murine xenograft model. This study aimed to assess whether immunological background affected the clinical outcomes of patients receiving IP chemotherapy. Methods: Fresh frozen tumor samples at the time of primary surgery were obtained from 116 patients who joined the iPocc P3 trial for microarray analysis. Cell-type deconvolution was performed using MCP counter. Single sample Gene Set Enrichment Analysis was performed to evaluate the tumor immune microenvironment. Clinical data were obtained from the iPocc P3 trial. We stratified 116 patients according to the high or low values of each factor determined by the median values. The Kaplan-Meier method and log-rank test were used to analyze PFS and OS. Results: A total of 116 patients were assigned to either the IP (n=59) or IV (n=57) group. The most common histologic type was serous (58.6%), followed by endometrioid (17.2%) and clear cell (12.1%). The patients who received IP therapy had longer OS than those who received IV therapy in the group with a high infiltration of T cells, NK cells, or cytotoxic lymphocytes in the MCP counter (median OS: not reached (NR) vs 75.0 months, P=0.041, NR vs. 75.0 months, P=0.042, NR vs 65.2 months, P=0.031), but not in the group with a low infiltration. Similarly, the IP therapy improved OS in the patients with high expression of immune-related genes such as CD8A, FOXP3 or PDCD1 (median OS; NR vs 65.2 months, P=0.035, NR vs 65.2 months P=0.030, NR vs 53.1 months, P=0.016), but not in the patients with low expression of those genes. In addition, a multifaceted evaluation was conducted because of the limitations of evaluating the interaction between cancer and immunity using a single factor. When the patients were divided into two groups, “Immune Hot” and “Immune Cold” based on the hierarchical clustering analysis with 4 parameters representing “Innate immunity,” “T cells,” “Interferon gamma response” and “Inhibitory molecules,” the IP therapy increased both PFS and OS compared to the IV therapy in the “Immune Hot” group (median PFS; 35.5 vs 23.4 months, P=0.024, median OS; NR vs 75.0 months, P=0.040), but not in the “Immune Cold” group. Conclusions: IP therapy may improve the survivals in EOC patients with a high immunological background. Further studies are warranted to validate this hypothesis and to clarify the impact of IP therapy on the tumor immune microenvironment. Clinical trial information: NCT01506856 / GOTIC-001/ JGOG3019.