Qualitative Evaluation Criteria Research Articles

NFT 미술작품 가치 평가 기반하의 랭크 프레임워크 연구

The objective of this study is to devise and propose a ranking framework for NFT artworks and artists, based on the valuation of NFT artworks. The findings of this study can be summarised as follows. Firstly, the results demonstrate that the cost production, S2F method, and quint algorithm approaches, which are commonly employed in classical economics, are the most effective models for valuing NFT artworks. Secondly, quantitative evaluation criteria for NFT artworks were proposed, including factors such as exhibitions and awards, copyrights, exhibition planning, career achievements and assigned weights. Additionally, qualitative evaluation criteria were put forth, encompassing aspects such as content, expression, originality, collectible value and assigned weights. The results of the recognition evaluation criteria were also derived. Furthermore, a framework was put forth to guarantee the rationality of the NFT artist ranking through verification. The anticipated outcomes of this research can be leveraged for the equitable utilisation of NFT artworks for purchase and sale, the establishment of guidelines for the calculation, settlement, and distribution of artworks, and the encouragement of new NFT art creation.

A Comparative Analysis of Machine Learning Algorithms for Identifying Cultural and Technological Groups in Archaeological Datasets through Clustering Analysis of Homogeneous Data

Machine learning algorithms have revolutionized data analysis by uncovering hidden patterns and structures. Clustering algorithms play a crucial role in organizing data into coherent groups. We focused on K-Means, hierarchical, and Self-Organizing Map (SOM) clustering algorithms for analyzing homogeneous datasets based on archaeological finds from the middle phase of Pre-Pottery B Neolithic in Southern Levant (10,500–9500 cal B.P.). We aimed to assess the repeatability of these algorithms in identifying patterns using quantitative and qualitative evaluation criteria. Thorough experimentation and statistical analysis revealed the pros and cons of each algorithm, enabling us to determine their appropriateness for various clustering scenarios and data types. Preliminary results showed that traditional K-Means may not capture datasets’ intricate relationships and uncertainties. The hierarchical technique provided a more probabilistic approach, and SOM excelled at maintaining high-dimensional data structures. Our research provides valuable insights into balancing repeatability and interpretability for algorithm selection and allows professionals to identify ideal clustering solutions.

Comparative analysis of open-source federated learning frameworks - a literature-based survey and review

While Federated Learning (FL) provides a privacy-preserving approach to analyze sensitive data without centralizing training data, the field lacks an detailed comparison of emerging open-source FL frameworks. Furthermore, there is currently no standardized, weighted evaluation scheme for a fair comparison of FL frameworks that would support the selection of a suitable FL framework. This study addresses these research gaps by conducting a comparative analysis of 15 individual open-source FL frameworks filtered by two selection criteria, using the literature review methodology proposed by Webster and Watson. These framework candidates are compared using a novel scoring schema with 15 qualitative and quantitative evaluation criteria, focusing on features, interoperability, and user friendliness. The evaluation results show that the FL framework Flower outperforms its peers with an overall score of 84.75%, while Fedlearner lags behind with a total score of 24.75%. The proposed comparison suite offers valuable initial guidance for practitioners and researchers in selecting an FL framework for the design and development of FL-driven systems. In addition, the FL framework comparison suite is designed to be adaptable and extendable accommodating the inclusion of new FL frameworks and evolving requirements.

Integrating Sustainability into Risk Management through Analytical Network Process

Sustainable risk management is becoming widely accepted, making the incorporation of environmental, social, and governance (ESG) issues into strategic planning areas crucial to a responsible business philosophy. This article aims to rank organizational sub-risks with a focus on sustainability, offering a methodology based on the analytical network process (ANP) method to improve decision-making and reduce misrepresentation in qualitative evaluation criteria. An integrated approach is presented, starting with the characterization of five risk typologies based on global reports and then prioritizing risks and sub-risks using the ANP method. The sustainability sub-risks with the highest level of prioritization for each risk typology are (1) massive data fraud or theft incident (technological risk), (2) deficit in economic growth (economic risk), (3) water depletion (environmental risk), (4) lack of ethics in the conduct of business (geopolitical risk), and (5) chemical safety (social risk). Finally, a cosine similarity analysis is developed to compare the results obtained with the results of a risk prioritization performed with the analytical hierarchy process (AHP) method. The differences between the methods generate a similar risk prioritization; the high similarity indicates the consistency of the relationships and the prioritization of the criteria showing convergence. It is essential to mention that the results should be interpreted cautiously, considering the specific context in which this methodology is developed, and we recommend a periodic verification of risks and sub-risks.

An integrated G-MACONT approach for healthcare supplier selection

PurposeSupplier selection along with continuous evaluation of their performance is a crucial activity in healthcare supply chain management for effective utilization of scarce resources while providing quality service at an affordable price, and minimizing chances of stock-out, avoiding serious consequences on the illness or fatality of the patients. Presence of both qualitative and quantitative evaluation criteria, set of potential suppliers and participation of different stakeholders with varying interest make healthcare supplier selection a challenging task which can be effectively solved using any of the multi-criteria decision making (MCDM) methods.Design/methodology/approachTo deal with various qualitative criteria, like cost, quality, delivery performance, reliability, responsiveness and flexibility, this paper proposes integration of grey system theory with a newly developed MCDM tool, i.e. mixed aggregation by comprehensive normalization technique (MACONT) to identify the best performing supplier for pharmaceutical items in a healthcare unit from a pool of six competing alternatives based on the opinions of three healthcare professionals.FindingsWhile assessing importance of the six evaluation criteria and performance of the alternative healthcare suppliers against those criteria using grey numbers, and exploring use of three normalization procedures and two aggregation operations of MACONT method, this integrated approach singles out S5 as the most compromised healthcare supplier for the considered problem. A sensitivity analysis of its ranking performance against varying values of both balance parameters and preference parameters also validates its solution accuracy and robustness.Originality/valueThis integrated approach can thus efficiently solve healthcare supplier selection problems based on qualitative evaluation criteria in uncertain group decision making environment. It can also be deployed to deal with other decision making problems in the healthcare sector, like supplier selection for healthcare devices, performance evaluation of healthcare units, ranking of physicians etc.

International exchange program for anesthesia nursing students : Retrospective analysis of sustainable evaluation criteria

Anesthesia nursing students have little contact with relevant global contexts of their professional practice and health care as awhole. An international exchange program between aGerman postgraduate institution and aUS university focuses on this global perspective and provides insights into each other's healthcare systems. The article offers insight into asuccessful international exchange program and analyzes possible evaluation criteria for the program. Aretrospective analysis of program implementation at both institutions, evaluations conducted to date, and exchange experiences that have taken place is conducted. From this, possible quantitative and qualitative evaluation criteria were identified. A total of 13student exchange trips and 7reciprocal faculty visits were recorded as part of the program. Over the 6‑year period analyzed, atotal of 15clinical institutions were recruited for job shadowing. Additional outcomes included joint scientific projects and publications (contributions to journals and congresses). The structured goal setting and operationalization of an international cooperation are helpful for the later analysis of its success. In the example described, anesthesia nursing students, faculty, and the participating institutions benefited from the international exchange program. From this, quantitative and qualitative evaluation criteria could be identified and described for future use for international exchange of anesthesia nursing students.

The Life Experience of Patients after the Implantation of Cardiovascular Implantable Electronic Devices: A Qualitative Meta-Synthesis.

Cardiovascular implantable electronic devices (CIED) are more and more widely used in the clinical treatment of cardiovascular diseases. However, CIED implantation may also result in a variety of physical, psychological, and social problems among patients. To help patients adapt to life after CIED implantation, it is important to know patients' needs from their perspectives. Explore the needs of CIED patients from their perspectives to guide healthcare providers to improve their quality of life. PubMed, Web of Science, Embase, the Cochrane Library, CNKI, the VIP database, the Wanfang database, and the China Biomedical Literature database were searched for qualitative studies on the experience of patients with CIED dating from January 2000 to August 2022. The quality of each article was evaluated according to the 2016 edition of the Joanna Briggs Institute Evidence-Based Health Care Center Qualitative Research Quality Evaluation Criteria and an integrative meta-synthesis was undertaken. A total of 18 documents were included, and 111 categories were extracted. Analysis of the data resulted in the identification of 3 themes and 12 subthemes. The first theme, Equipment Symbiosis, included "Mixed feelings about the device as part of the body", "Mixed feelings about the patient's role", and "Mixed feelings about an electrical stimulus". The second theme, External Support, included "Husband and wife relationship damaged", "Eager to participate, unwilling to be overprotected", "Want to return to work but are forced to leave", and "Information supply and demand mismatch". The third theme, Self-coping, included "How to face a doctor", "How to deal with activity restrictions", "How to face yourself", "How to face the future", and "How to face death". Healthcare providers need to accelerate technological innovation and clinical adoption of CIED. Additionally, healthcare providers need to establish a diverse support system led by medical staff, with family members, peers, and society working together, and improve CIEDs remote monitoring to help patients improve their quality of life.

Do researchers practice what they preach? An empirical analysis of evaluation criteria

In our project, we take part in the debate about evaluation criteria in qualitative management and organisational science (MOS) research. Since the use of quantitative research criteria to evaluate qualitative research, as well as specific theoretically derived qualitative criteria, has been criticised, we look at this topic from an empirical perspective. Based on a comprehensive analysis of 449 articles published from 2011 to 2021 in five top-tier MOS-journals (Academy of Management Journal, Administrative Science Quarterly, Journal of Management, Organization Science, Strategic Management Journal), we analyse how researchers address the issues of rigor and quality. Focusing on the most common evaluation criteria in the articles (validity and trustworthiness), our results indicate that scholars use qualitative evaluation criteria in a pragmatic way. This shows that, in contrast to the epistemological and methodological differences in theoretically derived evaluation criteria, researchers apply similar techniques to ensure validity and trustworthiness. Given that we only had access to published articles demonstrating the state of the art of using evaluation criteria, the current use of evaluation criteria during the research process remains a ‘black box.’ Therefore, to uncover such implicit evaluation criteria, we suggest a follow-up interview study to gain a deeper understanding of this relevant ‘black box’. In doing so, we aim to explore the intentions and experiences of authors who published qualitative research in top-tier journals on the question, “How to deal with evaluation criteria in research practice as well as during the review process?”. As publishing articles in leading journals is very competitive, we argue that these criteria are mainly the outcome of institutional practices, such as the review process and editorial policies. Our follow-up interview study proposes a way to shed light not only on the explicitly mentioned criteria in published articles but also on the underlying implicit criteria in-use during the research process up to publication.

A grey ordinal priority approach for healthcare waste disposal location selection

PurposeIncreasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative evaluation criteria, and presence of several alternative locations.Design/methodology/approachTo efficiently resolve the problem, the past researchers have already coupled different multi-criteria decision-making tools with uncertainty models and criteria weight measurement techniques, which are time-consuming and highly computationally complex. Based on involvement of a group of experts expressing their opinions with respect to relative importance of criteria and performance of alternative locations against each criterion, this paper proposes application of ordinal priority approach (OPA) integrated with grey numbers to solve an HCW disposal location selection problem.FindingsThe grey OPA can simultaneously estimate weights of the experts, criteria and locations relieving the decision makers from complicated computational steps. The potentiality of grey OPA in solving an HCW disposal location selection problem is demonstrated here using an illustrative example consisting of three experts, six criteria and four alternative locations.Originality/valueThe derived results show that it can be employed to deal with real-time HCW disposal location selection problems in uncertain environment providing acceptable and robust decisions. It relieves the experts from pair-wise comparisons of criteria, normalization of data, identification of ideal and anti-ideal solutions, aggregation of information and so on, while arriving at the most consistent decision with minimum computational effort.

Application of Guba and Lincoln's parallel criteria to assess trustworthiness of qualitative research on indigenous social protection systems

PurposeThis paper illustrates how Guba and Lincoln's parallel criteria for establishing trustworthiness, can be adapted and applied to qualitative research on indigenous social protection systems. It provides insights for social protection researchers, exploring plausible qualitative research rigor evaluation criteria, on plausible alternatives.Design/methodology/approachThe paper draws on qualitative evidence from a larger ethnographic study on the dynamics of indigenous social protection systems in Nigeria. It illustrates the systematic application of Guba and Lincoln's parallel criteria.FindingsAvailable evidence from the study shows that Guba and Lincoln's parallel criteria is viable for establishing trustworthiness of qualitative research on indigenous social protection systems. The criteria can facilitate credible and reliable research outcomes in research on improving social protection policy and practice.Research limitations/implicationsQualitative inquiries that draw on Guba and Lincoln's parallel criteria as evaluation criteria for trustworthiness can complement quantitative research on social protection. This makes it imperative to incorporate both, in social protection research for a holistic system. How this can be done is beyond the scope of this paper but needs to be explored by future research.Originality/valueContrary to the use of Guba and Lincoln's parallel criteria in qualitative research in other contexts, the use of the criteria has not been carefully examined in qualitative research on indigenous social protection systems. This paper is an attempt to fill this gap.

Research on Safety Evaluation and System Development of Tunnel Lining Based on Set Pair Analysis

Considering the importance of lining thickness in lining safety, and realizing the synchronization of safety evaluation and information development, this paper combines the methods of literature research and field investigation, focuses on six influencing factors, such as the deterioration of lining materials, the deformation of lining and the lack of tunnel clearance, et al. An evaluation index system of structural safety classification is established, and then substantiates each index and defines its quantitative or qualitative evaluation criteria. Through the normalization processing, the state of the evaluation index can be characterized by the normalized value. Analysing the characteristics, structure, relationship, trend and the mode of their mutual connection between the indexes by set pair analysis method, the calculation formula of the connection degree is obtained, and then the set pair potential vector is obtained. According to the principle of maximum set pair potential, the safety evaluation of lining structure is divided into five levels: safe, safer, less safe, unsafe and extremely unsafe. With the help of App Designer tool in MATLAB software, a program suitable for lining safety evaluation is designed and developed independently. Combined with a tunnel project in Chongqing, the above method is used to judge the lining safety of the tunnel project in order to provide a quick way for tunnel safety evaluation.

A novel multilevel decision-making evaluation approach for the renewable energy heating systems: A case study in China

Renewable energy (RE) sources are important alternatives to mitigate the energy crisis and achieve sustainable development. Appropriate selection of RE system solutions is extremely crucial. Selection of the best RE technology requires the consideration of conflicting qualitative and quantitative evaluation criteria. Many evaluation criteria are judged with subjectivity and uncertainty. However, the description of uncertainty in the evaluation process remains a large research gap. Therefore, a novel combined evaluation method is developed to describe and visualize the uncertainty in the assessment process. The proposed evaluation method is tested for RE heating system selection. The RE systems are evaluated based on five dimensions and 15 evaluation indicators. This multidimensional indicator framework not only includes the three basic evaluation groups of energy, economy, and environment, but also extends to the performance of technology and policy. The combined weights of the evaluation indicators consist of objective weights and subjective weights. The objective weights are obtained by the Criteria Importance Through Intercriteria Correlation (CRITIC) method and subjective weights are calculated by the improved Fuzzy Analytic Hierarchy Process (FAHP). The set pair analysis (SPA) is introduced to assess the performance of different RE systems. It considers the uncertainty of indicator performance. A novel approach to visualizing the fuzziness of SPA evaluation is developed using the cloud model. Finally, the RE system ranking calculated by the proposed method is performed. The originality of this work is offering a promising method for RE selection and clarifying the degree of ambiguity in the evaluation process. It helps decision makers have an exact idea about the accuracy of the evaluation. It provides insights into multi-objective decision-making problems.

The Selection of Skylight Type for a Certain Building Using Evaluation Criteria and the Multi-Criteria Decision-Making Method

The article is focused on the selection of the rational skylight from the examined alternatives using quantitative and qualitative evaluation criteria, which are based on skylight performance and the multi-criteria decision-making method. A non-residential building, namely, a car service shop, was chosen for the research in order to offer good lighting in the large hall where the car repair work is performed every workday. Three alternatives of skylights with glazing material of spherical shape or dome were chosen for the study, skylight domes, longitudinal skylights, and tubular skylights, whose selection was based on the technical parameters of the product and the calculated amount of natural light entering through three different types of skylights. The skylight alternatives were evaluated according to seven criteria whose priority ranking and importance were determined by the survey questionnaire, while the theoretical and complex importance was determined using the Entropy Method. The most rational type of skylight was determined by the TOPSIS method. The analysis based on the offered method showed that skylight domes are a rational solution for the choice of skylight type for the tested building. The main criterion for choosing the roof daylighting system according to the survey was heat transfer coefficient, while skylight cost and installation cost were the criteria chosen by Entropy Method. In both cases, when alternative solutions were compared using the theoretical and complex importance of evaluation criteria, the most rational type of skylight selected using the TOPSIS method was the same alternative, namely the skylight dome.

WITHDRAWN: Design of a probe-type acoustic tweezer by acoustic-streaming field optimization

• The evaluation criteria of acoustic-streaming field optimization are proposed. • The optimized capture condition is concluded by finite element analysis. • Ultrasonic vibration device for optimized capture vibration parameter is designed. • The probe-type acoustic tweezer can capture, translate and release objects. This paper presents a novel design process of a probe-type acoustic tweezer for micro/nano manipulation. The qualitative evaluation criteria of manipulation-oriented acoustic-streaming field are proposed, and the optimized capture condition is concluded by finite element optimization accordingly for the first time. The scheme of ultrasonic vibration device for optimized capture condition is proposed, which is composed of two parallel-connected sandwich piezoelectric transducers. Initial structural parameters of the vibration device are determined by an analytical model based on the electromechanical equivalent theory, and it is further optimized using finite element method. Dynamic performances of the vibration device are then analyzed through modal analysis and frequency response analysis. A prototyped vibration device is fabricated and experimental investigations are conducted to further test its characteristics. The results show that the device can vibrate with the optimized capture condition. The experimental setup of the probe-type acoustic tweezer system is established, and it is proven that it can successfully capture, translate and release nanowires. Graphical Abstract. .

Evaluation criteria of the development of motor skills of secondary school students processes of volleybal

Control standards for determining the manifestation of motor qualities of students are an important incentive in solving educational, health and educational tasks of physical education. The research is aimed at the development of quantitative and qualitative criteria for the development of motor qualities of students of grades 5-9, substantiation of the results of pedagogical control of testing during volleyball lessons. Pedagogical control and evaluation of the results is the main factor for obtaining objective information about the state and effectiveness of students' educational activities in the process of physical education. The purpose of the research is to develop qualitative and quantitative evaluation criteria of competence and experimentally check the influence of volleyball classes on indicators of motor qualities of middle school students. The scientific novelty consists in the construction of regression models for the assessment of motor qualities, in determining the influence of volleyball classes on the dynamics of their changes based on the results of stage control. The results of the study justify the introduction of a differentiated approach to students in the process of physical education and indicate the need to develop new informative tests and control standards for their physical fitness.

An integrated IRN-BWM-EDAS method for supplier selection in a textile industry

Like all other manufacturing industries, supplier selection also plays a pivotal role in a textile industry with respect to timely and cost-effective delivery of raw materials (cotton, yarn or fabric), chemicals and dyes, machineries, spare parts and other auxiliary parts/items. An appropriately selected supplier would help the textile industry in seamless production of final or semi-finished products leading to effective deployment of supply chain management concept. Due to involvement of many competing suppliers and a set of conflicting criteria, supplier selection is often treated as a typical multi-criteria decision making problem. The process of choosing the right supplier for a given item often becomes more difficult due to presence of both quantitative and qualitative evaluation criteria. In this paper, based on six most significant criteria, an attempt is put forward to integrate interval rough number (IRN) with best worst method (BWM) and evaluation based on distance from average solution (EDAS) method to solve a supplier selection problem for a textile industry. The application of IRN helps in expressing opinions of the decision makers with respect to relative importance of the considered criteria and performance of the suppliers against each of the criteria using rough boundary intervals under group decision making environment. Later, the criteria weights are determined using IRN-BWM and the alternative suppliers are ranked from the best to the worst employing IRN-EDAS method. An IRN Dombi weighted geometric averaging (IRNDWGA) technique is considered to aggregate the opinions of the decision makers. This integrated approach identifies alternative 3 as the most apposite supplier for the textile industry under consideration.

Analysis of Methodological Recommendations for Evaluating the Effectiveness of Commercial Banks

The article presents an analysis of modern methods for evaluating the effectiveness of commercial banks, taking into account the large-scale use of Internet technologies. The relevance of this article is due to sharp structural transformations in the context of widespread pressure on the financial sector. A competently constructed method of analyzing the state of a commercial bank is able to warn against significant losses. The sharply increased relevance of remote products and services in 2020 during the period of covid restrictions currently significantly complicates the work of a commercial bank using Internet technologies and software. At the same time, the change of the vector to remote channels of work is relevant regardless of the sanctions restrictions. In conditions of pressure on the leaders of the banking sector, the task of holistic monitoring of not only financial viability, but also the stability of innovative digital platforms arises, due to the importance of these services for customers. The necessity of a comprehensive analysis taking into account the basic evaluation criteria and digital products of a commercial bank is substantiated. Currently, the methodological apparatus is a block analysis, which is aimed either at financial stability, or the price segment, or qualitative evaluation criteria. In this case, it is proposed to evaluate one commercial bank without a uniform calculation structure, but individual independent methods. The purpose of the study is to form a holistic view of the methodological approaches to assessing the activities of a commercial bank, in order to form a unified methodology that will not only duplicate the indicators of the official methodology of the Bank of Russia, but also take into account industry trends, their qualitative component.Keywords: commercial bank, methodology, digital services, innovative products, financial analysis, competition.

How Can Science and Research Work Well? Toward a Critique of New Public Management Practices in Academia From a Socio-Philosophical Perspective.

While New Public Management practices (NPM) have been adopted in academia and higher education over the past two decades, this paper is investigating their role in a specifically socio-philosophical way: The preeminent question is what organization of science is likely to make science and research work well in the context of a complex society. The starting point is an obvious intuition: that academia would be “economized” by NPM (basically, that something is coming from the outside and is disturbing the inside). Habermas provides a sophisticated theorization for this intuition. In contrast, the thesis advanced here is that we should consider NPM potentially problematic—but not for descending from economics or administration outside academia. It is because NPM often cannot help research and science to function well. In this (rather “essayistic” than strictly deductive) consideration, I will therefore tentatively discuss an alternative approach that takes up critical intuitions while transposing them into a different setting. If we understand science and research as a form of life, a different picture emerges that can still bring immanent standards to bear, but at the same time compose them more broadly. This outlines a socio-philosophical critique of NPM. Accordingly, the decisive factor is not NPM's provenance. What is decisive is that it addresses some organizational problems while at the same time creating new ones. At the end, an outlook is sketched on how the specific situation of NPM allows some hypotheses on academy's [by “academy”, I am referring to the whole research community (like “academia”)] future organization. Ex negativo, it seems likely that qualitative evaluation criteria and creative freedom will have to play a greater role.

Multiscale Local Enhancement Deep Convolutional Networks for the Automated 3D Segmentation of Gross Tumor Volumes in Nasopharyngeal Carcinoma: A Multi-Institutional Dataset Study.

PurposeAccurate segmentation of gross target volume (GTV) from computed tomography (CT) images is a prerequisite in radiotherapy for nasopharyngeal carcinoma (NPC). However, this task is very challenging due to the low contrast at the boundary of the tumor and the great variety of sizes and morphologies of tumors between different stages. Meanwhile, the data source also seriously affect the results of segmentation. In this paper, we propose a novel three-dimensional (3D) automatic segmentation algorithm that adopts cascaded multiscale local enhancement of convolutional neural networks (CNNs) and conduct experiments on multi-institutional datasets to address the above problems.Materials and MethodsIn this study, we retrospectively collected CT images of 257 NPC patients to test the performance of the proposed automatic segmentation model, and conducted experiments on two additional multi-institutional datasets. Our novel segmentation framework consists of three parts. First, the segmentation framework is based on a 3D Res-UNet backbone model that has excellent segmentation performance. Then, we adopt a multiscale dilated convolution block to enhance the receptive field and focus on the target area and boundary for segmentation improvement. Finally, a central localization cascade model for local enhancement is designed to concentrate on the GTV region for fine segmentation to improve the robustness. The Dice similarity coefficient (DSC), positive predictive value (PPV), sensitivity (SEN), average symmetric surface distance (ASSD) and 95% Hausdorff distance (HD95) are utilized as qualitative evaluation criteria to estimate the performance of our automated segmentation algorithm.ResultsThe experimental results show that compared with other state-of-the-art methods, our modified version 3D Res-UNet backbone has excellent performance and achieves the best results in terms of the quantitative metrics DSC, PPR, ASSD and HD95, which reached 74.49 ± 7.81%, 79.97 ± 13.90%, 1.49 ± 0.65 mm and 5.06 ± 3.30 mm, respectively. It should be noted that the receptive field enhancement mechanism and cascade architecture can have a great impact on the stable output of automatic segmentation results with high accuracy, which is critical for an algorithm. The final DSC, SEN, ASSD and HD95 values can be increased to 76.23 ± 6.45%, 79.14 ± 12.48%, 1.39 ± 5.44mm, 4.72 ± 3.04mm. In addition, the outcomes of multi-institution experiments demonstrate that our model is robust and generalizable and can achieve good performance through transfer learning.ConclusionsThe proposed algorithm could accurately segment NPC in CT images from multi-institutional datasets and thereby may improve and facilitate clinical applications.

THE INFLUENCE OF SHAPING CLASSES ON THE DEVELOPMENT OF PLASTICITY IN HIGHER EDUCATION

The article analyzes the influence of shaping lessons on the development of plasticity in female students of higher education institutions. in the system of physical education of female students of higher education institutions. It is established that shaping has great potential for organizing a healthy lifestyle, engaging in culture, improving plasticity. The study revealed: 1) not specified specific varieties and manifestations of plasticity, which are the content of shaping; 2) no system of tests has been developed, quantitative and qualitative evaluation criteria for determining the level of development of plasticity during shaping have not been identified; 3) the technology of improving plasticity in accordance with its main varieties and manifestations has not been developed; 4) the relationship between the development of plasticity and a number of morphological, physiological and psychofunctional indicators has not been established.
 Thus, the high theoretical and practical significance of the problem of development of motor coordination, in particular the plasticity of female students of higher education institutions in the process of shaping, structural approach to its study, multifaceted aspects of consideration determined the relevance of the chosen topic. This is due to the restructuring of all spheres of human socio-economic activity, which requires professionalism, the manifestation of moral-volitional and physical qualities, and a fundamentally new organization of labor. The modern approach to the analysis of the problem of formation of a stable need for active motor activity of an individual based on a conscious desire for self-improvement makes it possible to find socially significant directions for its solution.