Independent Constructs Research Articles

Investigating the structures of the health belief model following a covid-19 outbreak in Iran

Due to the novelty of COVID-19 disease and the importance of determining the most important factors related to the health behaviors of people, this study was done to determine the structures of Health Belief Model (HBM) following the COVID-19 outbreak. This was an analytical-cross sectional study conducted in 2020. The statistical population included all users of Iranian social networks, of which 385 people participated in this study. Participants were selected using convenience sampling. The data collection tool was a researcher-made questionnaire. In this study, demographic variables (being a student, age, reporting violations in health protocols (RVHP), marital status, level of education, gender, and the number of children) were independent variables and constructs of the HBM were dependent variables. Data analysis software was SPSS 16. Data were analyzed using Mann-Whitney U and Kruskal-Wallis tests. The mean age of participants was 30.11 years. There was a significant difference between the perceived susceptibility of being a student (p=0.02), age (p=0.01), and RVHP (p=0.005). There was also a significant difference between the perceived severity with marital status, being a student, age (P<0.001), RVHP (p=0.04), and level of education (p=0.01). There was also a significant difference between perceived benefits with marital status (p=0.04), RVHP (p=0.01), and being a student (P<0.001) and perceived barriers with gender and number of children (p=0.03). There was also self-efficacy with RVHP (p=0.005). This study demonstrated the effectiveness of HBM constructs in determining the structures of HBM following the COVID-19 outbreak. Therefore, the HBM seems helpful as a framework for designing interventional programs for improving health behaviors among people during the COVID-19 pandemic.

THE IMPLEMENTATION OF TEACHING WRITING THROUGH A GENRE-BASED APPROACH

This study reports on the effectiveness of teaching writing through a genre-based approach. This study employed a qualitative research design, embracing the characteristics of a case study. The data were obtained from classroom observation. The study involved students at a public high school in Bandung. The result shows that the teaching program of Genre Based Approach which includes Building knowledge of the field (BKOF), Modeling of the text (MOT), Joint construction of the text (JCOT), and Independent construction of the text (ICOT) helped the students to express the idea in writing. It also helped students to understand the language features and structures of the text. Based on the analysis, it is recommended that the teaching program can be applied in various text genres to improve the teaching of English and enhance the students’ writing ability.

The relationship between anxiety sensitivity and clinical outcomes in cardiac rehabilitation: A scoping review

BackgroundDespite well-established efficacy for patients with a cardiovascular diagnosis or event, exercise-based cardiac rehabilitation program participation and completion has remained alarmingly low due to both system-level barriers and patient-level factors. Patient mental health, particularly depression, is now recognized as significantly associated with reduced enrollment, participation, attendance, and completion of a cardiac rehabilitation program. More recently, anxiety sensitivity has emerged as an independent construct, related to but distinct from both depression and anxiety. Anxiety sensitivity has been reported to be adversely associated with participation in exercise and, thus, may be important for patients in cardiac rehabilitation. Accordingly, the objective of this study was to conduct a scoping review to summarize the evidence for associations between anxiety sensitivity and cardiovascular disease risk factors, exercise, and clinical outcomes in cardiac rehabilitation. MethodsA formal scoping review, following PRISMA-ScR guidelines, was undertaken. Searches of MEDLINE, Web of Science, CINAHL, PSYCINFO, and Scopus databases were conducted, supplemented by hand searches; studies published through December of 2020 were included. The initial screening was based on titles and abstracts and the second stage of screening was based on full text examination. ResultsThe final search results included 28 studies. Studies reported statistically significant associations between anxiety sensitivity and exercise, cardiovascular disease, and participation in cardiac rehabilitation. Many studies, however, were conducted in non-clinical, community-based populations; there were few studies conducted in cardiovascular disease and cardiac rehabilitation clinical patient populations. Additionally, significant gaps remain in our understanding of the sex-based differences in the complex relationships between anxiety sensitivity, exercise and cardiac rehabilitation. ConclusionMore research is needed to understand specific associations between anxiety sensitivity and clinical outcomes among clinical cardiovascular disease patients and participants in cardiac rehabilitation programs. Treatment of anxiety sensitivity to optimize clinical outcomes in cardiac rehabilitation programs should be investigated in future studies.

Особенности работы по обновлённому стандарту в первом классе: учебный предмет «Русский язык»

The article discusses the features of the updated Federal State Educational Standard for Primary General Education (FSES PGE) 2021, which affect the teaching of the Russian language in general and in the first grade in particular. Changes in subject content and subject results are analyzed. Particular attention is paid to the arguments in favor of the active use of sound analysis of words and the independent construction of word models. Directions of work on the content line "Development of speech" are revealed. The importance of complex work on meta-subject and subject results in Russian language lessons is substantiated. The notion of “functional literacy” introduced for the first time in the text of the updated standard is noted, which is interpreted as the ability to solve educational problems and life problem situations on the basis of the formed subject, meta-subject and universal methods of activity.

Communicating uncertainty in national security intelligence: Expert and nonexpert interpretations of and preferences for verbal and numeric formats.

Organizations in several domains including national security intelligence communicate judgments under uncertainty using verbal probabilities (e.g., likely) instead of numeric probabilities (e.g., 75% chance), despite research indicating that the former have variable meanings across individuals. In the intelligence domain, uncertainty is also communicated using terms such as low, moderate, or high to describe the analyst's confidence level. However, little research has examined how intelligence professionals interpret these terms and whether they prefer them to numeric uncertainty quantifiers. In two experiments (N=481 and 624, respectively), uncertainty communication preferences of expert (n =41 intelligence analysts in Experiment 1) and nonexpert intelligence consumers were elicited. We examined which format participants judged to be more informative and simpler to process. We further tested whether participants treated verbal probability and confidence terms as independent constructs and whether participants provided coherent numeric probability translations of verbal probabilities. Results showed that although most nonexperts favored the numeric format, experts were about equally split, and most participants in both samples regarded the numeric format as more informative. Experts and nonexperts consistently conflated probability and confidence. For instance, confidence intervals inferred from verbal confidence terms had a greater effect on the location of the estimate than the width of the estimate, contrary to normative expectation. Approximately one-fourth of experts and over one-half of nonexperts provided incoherent numeric probability translations for the terms likely and unlikely when the elicitation of best estimates and lower and upper bounds were briefly spaced by intervening tasks.

Predictors of non-stepping time in people with chronic stroke

ABSTRACT Background Sedentary time is an independent construct from active time. Previous studies have examined variables associated with sedentary time to inform behavior change programs; however, these studies have lacked data sets that encompass potentially important domains. Objectives The purpose of this study was to build a more comprehensive model containing previously theorized important predictors of sedentary time and new predictors that have not been explored. We hypothesized that variables representing the domains of physical capacity, psychosocial, physical health, cognition, and environmental would be significantly related to sedentary time in individuals post-stroke. Methods This was a cross-sectional analysis of 280 individuals with chronic stroke. An activity monitor was used to measure sedentary (i.e. non-stepping) time. Five domains (8 predictors) were entered into a sequential linear regression model: physical capacity (6-Minute Walk Test, assistive device use), psychosocial (Activities Specific Balance Confidence Scale and Patient Health Questionnaire-9), physical health (Charlson Comorbidity Index and body mass index), cognition (Montreal Cognitive Assessment), and environmental (Area Deprivation Index). Results The 6-Minute Walk Test (β = −0.39, p < .001), assistive device use (β = 0.15, p = .03), Patient Health Questionnaire-9 (β = 0.16, p = .01), and body mass index (β = 0.11, p = .04) were significantly related to non-stepping time in individuals with chronic stroke. The model explained 28.5% of the variability in non-stepping time. Conclusions This work provides new perspective on which variables may need to be addressed in programs targeting sedentary time in stroke. Such programs should consider physical capacity, depressive symptoms, and physical health.

Factors Affecting Students' Perspectives on the Usefulness of Learning Online

The more students perceive the usefulness of the learning mode, the more they accept it, hence inference to their learning success. The purpose of the study is to identify factors that impact students’ perspectives on the usefulness of learning online in their learning process based on the Technology Acceptance Model. Learners’ styles and their e-learning self-efficacy were integrated into the model to explore the relationships between these factors and their perceived usefulness of learning online. A questionnaire survey was administered to 356 voluntary students of a private university in Vietnam. Data analysis methods include the Cronbach’s alpha test to examine the scales’ reliability, Confirmatory Factor Analysis method to determine the factors of learners’ learning online styles, and the structural equation modeling method to estimate the correlations between the dependent and independent constructs. The results indicate that four in six learn-ers’ learning online styles had a significant relationship with perceived useful-ness. In particular, tactile and group factors, and the Individual factor have direct-ly and indirectly positive effects on perceived usefulness respectively while Kin-aesthetic factor has a direct negative effect on perceived usefulness. The other fac-tors such as visual and auditory show no relationship with perceived usefulness. Learners’ e-learning self-efficacy and perceived ease of use components have a direct and positive impact on perceived usefulness. Pedagogical implications and limitations of the study are also discussed.

Risk stratification system and web-based nomogram constructed for predicting the overall survival of primary osteosarcoma patients after surgical resection

BackgroundPrevious prediction models of osteosarcoma have not focused on survival in patients undergoing surgery, nor have they distinguished and compared prognostic differences among amputation, radical and local resection. This study aimed to establish and validate the first reliable prognostic nomogram to accurately predict overall survival (OS) after surgical resection in patients with osteosarcoma. On this basis, we constructed a risk stratification system and a web-based nomogram.MethodsWe enrolled all patients with primary osteosarcoma who underwent surgery between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. In patients with primary osteosarcoma after surgical resection, univariate and multivariate cox proportional hazards regression analyses were utilized to identify independent prognostic factors and construct a novel nomogram for the 1-, 3-, and 5-year OS. Then the nomogram's predictive performance and clinical utility were evaluated by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).ResultThis study recruited 1,396 patients in all, with 837 serving as the training set (60%) and 559 as the validation set (40%). After COX regression analysis, we identified seven independent prognostic factors to develop the nomogram, including age, primary site, histological type, disease stage, AJCC stage, tumor size, and surgical method. The C-index indicated that this nomogram is considerably more accurate than the AJCC stage in predicting OS [Training set (HR: 0.741, 95% CI: 0.726–0.755) vs. (HR: 0.632, 95% CI: 0.619–0.645); Validation set (HR: 0.735, 95% CI: 0.718–0.753) vs. (HR: 0.635, 95% CI: 0.619–0.652)]. Moreover, the area under ROC curves, the calibration curves, and DCA demonstrated that this nomogram was significantly superior to the AJCC stage, with better predictive performance and more net clinical benefits.ConclusionThis study highlighted that radical surgery was the first choice for patients with primary osteosarcoma since it provided the best survival prognosis. We have established and validated a novel nomogram that could objectively predict the overall survival of patients with primary osteosarcoma after surgical resection. Furthermore, a risk stratification system and a web-based nomogram could be applied in clinical practice to assist in therapeutic decision-making.

Exploring The Practices Of English Village (A Case Study at Nyayum Village)

This research is descriptive qualitative which aims to find out the practices of the English village in the village of Nyayum. A class consists of eighteen participants from different classes who are deliberately selected as samples. Data was collected by using observation, field notes and student text. This research was conducted during teaching and learning activities. This research lasted for eight meetings. In teaching and learning activities, four stages of genre pedagogy are applied, namely knowledge building, modeling, combined joint construction, and independent construction. The application of a Genre-Based Approach to help Students to be able to communicative. Communicative can be in the form of oral, written, or even nonverbal. It is an inclusive term that refers to having knowledge of the language as well as the skills to use language in real-life situations to meet communicative needs. Language according to the researcher, is achievement in communication. During teaching and learning activities, observations were made by collecting field notes and student text. data analysis used thematic analysis to analyze field notes and text documents therefore, trigulation was carried out to validate the data. the findings describe the practice of English village at nyayum village using a genre-based approach in learning activities. The practice of English village using a genre based approach as a method in teaching and learning activities can help students practice English because there is interaction between tutors, and participants. So, it can be used to teach English both informal and non-formal education.

Academic Research Translation Capability: A Multilevel Predictive Framework

Academic research-driven organizations (ARO) are increasingly building capabilities for advanced research, innovation, commercialization and entrepreneurship, with a vision to translate their scientific findings into ‘societal impact’. Such organizational capabilities can help them in consistently transforming their scientific knowledge into innovations which can be translated from academic labs to industrial markets. However, their definition, composition and the process to build such organizational capabilities appears to be nebulous at multiple levels within organizational settings. To overcome these shortcomings, we attempt to develop a theoretically-grounded multilevel framework to measure, compare or predict ‘academic research translation capability’ of academic research-driven organizations. Our framework consists of five independent constructs, two mediating constructs and one dependent construct along with relevant theoretical evidences. Empirical validation of this multilevel framework can help academicians as well as practitioners in identifying those antecedents which tend to significantly influence academic research translation capability (ARTC). Top Management Teams (TMTs) can use this framework for developing strategies to improve their innovation performance.

An 18F-FDG PET/CT radiomics nomogram for differentiation of high-risk and non-high-risk patients of the International Neuroblastoma Risk Group Staging System

PurposeTo develop and validate an 18F-FDG PET/CT radiomics nomogram for non-invasive differentiation of high-risk and non-high-risk patients of the International Neuroblastoma Risk Group (INRG) Staging System (INRGSS). MethodOne hundred thirty-nine neuroblastoma patients were retrospectively enrolled and classified into a training set (n = 84) and validation set (n = 55). Radiomics features were extracted from 18F-FDG PET/CT images, a radiomics signature was constructed, and a radiomics score (Rad score) was calculated. Then, univariate and multivariate logistic regression analyses were used to screen out the independent clinical factors and construct the clinical model. A radiomics nomogram was developed based on the Rad score and independent clinical factors. The performance of the clinical model, Rad score, and nomogram was assessed by receiver operating characteristic (ROC) curves, calibration curves, and decision curves analysis (DCA). ResultsSeven radiomics features were selected to build the radiomics signature. The age at diagnosis, the INRG stage, neuron-specific enolase (NSE) and Rad score showed a significant difference between the high-risk and non-high-risk patients. The radiomics nomogram incorporating the Rad score and the above clinical factors demonstrated favorable predictive value for differentiating high-risk from non-high-risk, yielded AUCs of 0.988 and 0.971 in the training and validation sets, respectively. The calibration curves showed that the radiomics nomogram had the goodness of fit, and the DCA demonstrated that the radiomics nomogram was clinically useful. ConclusionsThe radiomics nomogram, which incorporates the Rad score and clinical factors can well predict high-risk and non-high-risk patients of the INRGSS. It may help the disease follow-up and management in clinical practice and assist in personalized and precise treatment of neuroblastoma.

Infinitives of affect and intersubjectivity: on the indexical interpretation of the Finnish independent infinitives

Abstract This article presents an analysis of the structure and use of the Finnish independent infinitives. Although typological studies have shown that syntactically independent non-finite constructions are widespread in many languages, the understanding of their semantic and intersubjective motivation is still in its early stages. The current paper aims to enrich the understanding of independent non-finite constructions by closely looking at free-standing infinitive constructions in spoken and written Finnish: it combines theoretical concepts of Cognitive Grammar with the methodological tools of Interactional Linguistics to explore the nature of independent infinitives as a resource for conceptualization and the intersubjective functions that it affords. The paper suggests that the fact that independent infinitives are grammatically ungrounded makes them useful in interactional and textual sequences involving affect display. As the indexical functions of infinitives can be explained from their own morphosyntactic and semantic characteristics, the paper makes the more general claim that there is no synchronic evidence that would support the assumption that such constructions ever evolved, via ellipsis, from finite constructions. Methodologically and theoretically, the paper advocates an approach that takes into account both the social and cognitive nature of language, and promotes the view that Cognitive Grammar offers a flexible, semantically rich starting point for the description of intersubjective meanings conveyed by grammar, when combined with the context-sensitive and microanalytical methodology of Interactional Linguistics.

THRESHOLD HYPOTHESIS: THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND EMOTIONAL CREATIVITY

The previous study (Ivcevic et al., 2007) related to the relationship between emotional intelligence (EI) and emotional creativity (EC) showed that these two constructs represent interrelated but&nbsp; independent sets of abilities. It was proposed that the connection between those emotional traits could&nbsp; be the same as the association between general intelligence and creativity is (Averill, 1999). Howev- er, it is still not clear whether this relationship is determined by the threshold hypothesis. The present&nbsp; work aims to explore the specificity of the relationship between emotional intelligence and emotional&nbsp; creativity – namely, to examine the threshold hypothesis. 342 individuals participated in the study,&nbsp; aged from 17 to 49 (M=21.87, SD=5.84). Results indicate that emotional intelligence and emotional&nbsp; creativity are independent but related constructs. Emotional intelligence as a unitary construct as well&nbsp; as its factors predicts emotional creativity. And this relationship is explained by the threshold hypoth- esis. Namely, segmented regression showed that sociability and well-being predict emotional creativ- ity when scores on those factors are higher than the threshold is. Emotionality and self-control predict&nbsp; emotional creativity only when scores on mentioned emotional intelligence factors are less than the&nbsp; threshold is. The relationship between emotional creativity and emotional intelligence is explained by&nbsp; the threshold hypothesis. The obtained data sheds light on the specificity of the relationship between&nbsp; trait emotional intelligence and the creativity in emotional domain.

COVID-19 and E-Learning Adoption in Higher Education: A Multi-Group Analysis and Recommendation

Transition to e-learning has become crucial in the last two years, partially forced by the current pandemic. Therefore, the main objective of this study is to examine an integrated and comprehensive moderation-cum-mediation model that focuses on user intention to adopt e-learning. Self-efficacy, interaction, and e-learning contents were taken as the independent constructs. User satisfaction and user intention were taken as dependent constructs. Enjoyment and choice were taken as moderators. “Choice” was explicitly used in this study as a moderator to test whether the transition was by force or choice. Five hundred and sixty-two teachers and students from two countries, India and Saudi Arabia, were considered for this study. The findings indicate that self-efficacy and interaction augment user satisfaction and user intention. User satisfaction enhances user intention. It also mediates the relationship between self-efficacy, interaction, and user intention. Choice moderates the relationship between interaction and user intention. Enjoyment moderates the relationship between e-learning contents and user intention. This study is unique as it provides a multi-group analysis that compares nationality, gender, and the type of respondents in a multi-national context. All the stakeholders of e-learning, the teachers, the students, the policymakers, and the platforms, may find the results of this study particularly useful.

Is clinical insight a determinant factor of subjective recovery in persons living with schizophrenia or schizoaffective disorders?

Good clinical insight is predictive of clinical recovery in schizophrenia (i.e. symptomatic remission and functional improvement). However, the recent subjective recovery paradigm (i.e. the self-identity reconstruction process with and beyond psychosis) questioned the relevance of seeking patients’ awareness of their medically-defined illness. This study aimed to assess the relationship between clinical insight and subjective recovery in individuals with psychotic disorders. Sixty-seven outpatients diagnosed with schizophrenia or schizoaffective disorder were assessed for clinical insight using the Scale to assess Unawareness of Mental Disorder (SUMD) and for self-rated subjective recovery using the Recovery Assessment Scale (RAS). Among all dimensions of insight, only the unawareness of current symptoms was significantly associated with RAS total score, with illness duration as the only moderating factor. On the final regression model, unawareness of current symptoms was confirmed as the strongest of six factors explaining all together 44% of the subjective recovery variance, whereas clinical insight taken as an independent multidimensional construct did not significantly participate in explaining subjective recovery. Our study highlights the weak and only partial implication of clinical insight in subjective recovery, and invites clinicians to consider the patients’ meaning making process of morbid experiences in order to build a self-directed and medically-supported recovery.

INCENTIVE EFFECT AND EMOTION REGULATION OF INFORMATION TECHNOLOGY ON INNOVATION BEHAVIOR

INCENTIVE EFFECT AND EMOTION REGULATION OF INFORMATION TECHNOLOGY ON INNOVATION BEHAVIOR

ПРЕДСТАВЛЕНИЯ О ТРАЕКТОРИИ САМООБРАЗОВАНИЯ У СТУДЕНТОВ ПЕРВОГО И ВЫПУСКНОГО КУРСОВ БАКАЛАВРИАТА

Statement of the problem. The article is devoted to the problem of forming students’ representations about the trajectory of self-directed learning in order to increase their adaptability in a rapidly changing world. The need to increase students’ degree of its thoughtfulness is emphasized. This article emphasizes the need in independent and thoughtful construction of this trajectory by university students. The purpose of the article is to present the results of a study on creation of a technique identifying students’ perspectives of self-directed learning trajectory, as well as to report findings about features of these perspectives among first-and final-year undergraduate students. Research methods. To identify students’ perspectives of self-directed learning trajectory, a questionnaire was developed in accordance with the ideas of A.V. Hutorskiy, G.M. Kuleshova, E.A. Aleksandrova, Y.G. Yudina, S.V. Vdovina, I.S. Yakimanskaya, S.V. Yudakova, etc. The questionnaire identifies the following components for perspectives of self-directed learning trajectory: plans for self-directed learning, ideas about their implementations, and ideas about actions for achieving aims of self-directed learning. Research results. Statistically significant differences between perspectives of self-directed learning trajectory among first- and final-year students were revealed: the perspectives of self-directed learning trajectory and range of interests are clearer among final-year students than among first-year students. Additionally, self-directed learning motivation and time-management skills are higher in the group of final-year students in comparison with the group of first-year students. First-year students prefer workshops, lectures, conferences, summer or winter schools as ways to improve their knowledge and skills, while final-year students prefer to read books, take notes, and communicate with specialists. All students are characterized by a poor level of analysis of difficulties which they may encounter in the process of self-directed learning, and unwillingness to allocate fixed time for classes during self-directed learning. Conclusions. The guidelines for students in order to help them to build clear perspectives of self-directed learning trajectory were developed. The authors’ contribution consists in creation of the questionnaire for identification of students’ perspectives of self-directed learning trajectory and in conducting the study that expands knowledge about the psychology of students’ self-directed learning.

Stochastic Evolutionary Game Analysis on the Strategy Selection of Green Building Stakeholders from the Perspective of Supply-Demand Subject Populations

In construction industry, the research and development (R&amp;D) and application of green building technologies (GBTs) are crucial to promote the development of green buildings. From the perspective of supply-demand subject populations, this paper discusses the dynamic evolution process of strategy between individuals within construction enterprise populations and between construction enterprise populations and consumer populations. Firstly, based on Moran process, the stochastic evolutionary game model of construction enterprises adopting independent innovation strategy was constructed to obtain the conditions for the dominance of independent innovation strategy. Next, the bimatrix game model of construction enterprise populations and consumer populations was constructed to obtain the equilibrium frequency of the joint strategy. Then, the influence laws of the change of parameters on game were discussed through numerical simulations. The results show that (1) reducing the cost of independent R&amp;D cost, reducing the spillover effect coefficient, increasing the loss of technology introduction, and increasing R&amp;D subsidies for independent innovation construction enterprises are all conducive to IIS becoming an evolutionary stable strategy. (2) The marginal effect of IIS increases with the decrease in the spillover effect coefficient, the increase in the loss of technology introduction of construction enterprises, and the increase R&amp;D subsidies. (3) The smaller the mutation rate is, the greater the cross-price sensitivity coefficient is, the greater the green sensitivity coefficient is, the greater the probability of government active encouragement is, and the more dominant (production of green buildings, purchase of green buildings) is. Finally, relevant measures and suggestions are proposed.

A multi-classification model for non-small cell lung cancer subtypes based on independent subtask learning.

The non-small cell lung cancer (NSCLC) can be divided into adenocarcinoma (ADC), squamous cell carcinoma (SCC), large cell carcinoma (LCC), and not otherwise specified (NOS), which is crucial for clinical decision-making. However, current related researches are rare for the complex multi-classification of NSCLC, mainly due to the serious data imbalance, the difficulty to unify the feature space, and the complicated decision boundary among multiple subtypes. The machine learning method of traditional "one-vs-one" (OVO) is difficult to solve these problems and achieve good results. To this end, we propose a novel independent subtask learning (ISTL) method to better carry out the multi-classification task. Specifically, it includes four pertinent strategies: (1) independent data expansion; (2) independent feature selection (IFS); (3) independent model construction; and (4) a novel voting strategy: majority voting combined with Bayesian prior. We performed experiments using 1036 CT scans (ADC:SCC:LCC:NOS=600:268:105:63) collected from eight international databases, and the data acquisition was highly complex and diverse. The experimental results showed that the ISTL method obtained an accuracy of 0.812 on the independent test cohort, which significantly improved the performance of multi-classification compared with the traditional OVO-support vector machine (0.691) and OVO-random forest (0.710) models. After the IFS, six selected feature sets of six binary tasks are obviously different, indicating that the ISTL method has better interpretability to distinguish the multiple NSCLC subtypes. The results of a further auxiliary contrast experiment showed that four pertinent strategies were all effective. Our work indicates that the ISTL method can effectively perform multi-classification of NSCLC subtypes with better interpretability for clinical computer-aided detection and has the potential to be applied in a wide range of multi-classification studies.

Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm

The development of the cruise industry is an important part of the country’s “Marine power” and “One Belt, One Road” strategy. Improving the independent construction of cruise ships is of great significance to my country’s economic and social development. Aiming at the problem of the assembly order of cruise ship outfitting parts are many, the quantity is large, and the interchangeability of materials is higher than that of conventional ships, a cruise ship outfitting on-board assembly scheduling problem model is constructed, and a cruise ship outfitting on-board assembly material scheduling method oriented to generally outfitting is proposed. The improved genetic algorithm is used to dispatch the materials on the outfitting ships to realize the optimal utilization of the materials and materials, and the effectiveness of the method is proved by the example verification.