scholarly journals Sportsman’s Mental State Evaluation and Early Warning Method Using Decision Tree

2022 ◽  
Author(s):  
Nitin Kumar
Keyword(s):  
Decision Tree ◽  
Early Warning ◽  
Mental States ◽  
Psychological Problem ◽  
Activation Function ◽  
Psychological State ◽  
State Evaluation ◽  
Text Word ◽  
Text Information ◽  
Text Content

Abstract Aiming at the intelligent needs of psychological state assessment of university students, the text information-based psychological problem identification approach is investigated in the paper. This approach uses the text of student forums within universities as the database and introduces the convolutional neural network (CNN) model in deep learning, which contains a convolutional layer, a pooling layer, and a fully connected layer. After the convolution is completed, the convolution result is de-linearized by the activation function, and then pooling is performed to improve the fitting ability of the network for nonlinearities. For data processing, behavioral features attribute features, content features, and social relationship features are extracted from text information as the input of the CNN by using the decision tree. The psychological lexicon of expertise (LIWC) is used to enhance the efficiency of text word frequency statistics when performing text content extraction. To evaluate the performance of the proposed method, simulations are performed in the open dataset of CLPsyh2017 ReachOut Forum, and the FastText method is used as a comparison. The results show that the CNN model achieves an accuracy of 0.71 in the full-sample domain, which is significantly higher than that of the FastText model at 0.64. In the early warning evaluation of mental states, the CNN performance is better than that of FastText.

Seeming to Seem

2018 ◽  
Author(s):  
David Rosenthal
Keyword(s):  
Mental States ◽  
Order Theory ◽  
Higher Order ◽  
Psychological State ◽  
Intentional Stance ◽  
First Person ◽  
Psychological States ◽  
Third Person ◽  
Higher Order Theory ◽  
The Third Person

Dennett’s account of consciousness starts from third-person considerations. I argue this is wise, since beginning with first-person access precludes accommodating the third-person access we have to others’ mental states. But Dennett’s first-person operationalism, which seeks to save the first person in third-person, operationalist terms, denies the occurrence of folk-psychological states that one doesn’t believe oneself to be in, and so the occurrence of folk-psychological states that aren’t conscious. This conflicts with Dennett’s intentional-stance approach to the mental, on which we discern others’ mental states independently of those states’ being conscious. We can avoid this conflict with a higher-order theory of consciousness, which saves the spirit of Dennett’s approach, but enables us to distinguish conscious folk-psychological states from nonconscious ones. The intentional stance by itself can’t do this, since it can’t discern a higher-order awareness of a psychological state. But we can supplement the intentional stance with the higher-order theoretical apparatus.

Early Warning of Power Plant Equipment Based on Massive Real-Time Data Mining Technology

2014 ◽  
Vol 599-601 ◽  
pp. 1487-1490 ◽  
Author(s):  
Li Kun Zheng ◽  
Kun Feng ◽  
Xiao Qing Xiao ◽  
Wei Qiao Song
Keyword(s):  
Data Mining ◽  
Power Plant ◽  
Real Time ◽  
Early Warning ◽  
Time Data ◽  
Mining Technology ◽  
Equipment Safety ◽  
State Evaluation ◽  
Power Plant Equipment ◽  
Real Time Data

This paper mainly discusses the application of the mass real-time data mining technology in equipment safety state evaluation in the power plant and the realization of the equipment comprehensive quantitative assessment and early warning of potential failure by mining analysis and modeling massive amounts of real-time data the power equipment. In addition to the foundational technology introduced in this paper, the technology is also verified by the application case in the power supply side remote diagnosis center of Guangdong electric institute.

Development and validation of the Mental-Physical Verb Norms (MPVN): A Text Analysis Measure of Mental State Attribution

2021 ◽  
Author(s):  
Ram Isaac Orr ◽  
michael gilead
Keyword(s):  
Text Analysis ◽  
Human Life ◽  
Mental States ◽  
Future Research ◽  
Intentional Stance ◽  
Unique Contribution ◽  
Mental State Attribution ◽  
Text Content ◽  
Normative Ratings ◽  
Development And Validation

Attribution of mental states to self and others, i.e., mentalizing, is central to human life. Current measures are lacking in ability to directly gauge the extent of individuals engage in spontaneous mentalizing. Focusing on natural language use as an expression of inner psychological processes, we developed the Mental-Physical Verb Norms (MPVN). These norms are participant-derived ratings of the extent to which common verbs reflect mental (opposite physical) activities and occurrences, covering ~80% of all verbs appearing within a given English text. Content validity was assessed against existing expert-compiled dictionaries of mental states and cognitive processes, as well as against normative ratings of verb concreteness. Criterion Validity was assessed through natural text analysis of internet comments relating to mental health vs. physical health. Results showcase the unique contribution of the MPVN ratings as a measure of the degree to which individuals adopt the intentional stance in describing targets, by describing both self and others in mental, opposite physical terms. We discuss potential uses for future research across various psychological and neurocognitive disciplines.

scholarly journals Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gang Wang ◽  
Keming Wang ◽  
Yingying Zhou ◽  
Xiaoyan Mo ◽  
Weilin Xiao
Keyword(s):  
Financial Crisis ◽  
Decision Tree ◽  
Early Warning ◽  
Financial Management ◽  
Early Warning System ◽  
Comprehensive Evaluation ◽  
Warning System ◽  
Predictive Ability ◽  
Tree Models ◽  
The Impact

The financial crisis is a realistic problem that the general enterprise must encounter in the process of financial management. Due to the impact of the COVID-19 and the Sino-US trade war, domestic companies with unsound financial conditions are at risk of shutdowns and bankruptcies. Therefore, it is urgently needed to study the financial warning of enterprises. In this study, three decision tree models are used to establish the financial crisis early warning system. These three decision tree models include C50, CART, and random forest decision trees. In addition, the ROC curve was used for comprehensive evaluation of the accuracy analysis of the model to confirm the predictive ability of each model. This result can provide reference for domestic financial departments and provide financial management basis for the investing public.

A Study on Personal Characteristics of the Freshman and Graduates of in Five Different Universities of Shanxi Province of China

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
B. Han ◽  
R. Tang ◽  
M. Xu ◽  
S. Zhao
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Psychological Health ◽  
Personal Characteristics ◽  
Psychological Problem ◽  
Mental Health Status ◽  
Psychological State ◽  
Shanxi Province ◽  
Neuroticism Scale ◽  
P Type

Aims:To study on Personal Characteristics of the freshman and graduates in five different universities.Methods:The 1022 freshman and 956 graduates from five different universities were tested with the Eysenck Personality Questiornaire (EPQ). They came from one was general university, two technological universities, one is medical university, one is agricultural university.Results:Distribution of freshman and graduates personal characteristics in various sexes and universities is different. There are 19% and 12% of freshman with some psychological problem were P type and N type respectively according to neuroticism scale of EPQ, 64% of that were unstable temperament; 31% of the freshman who were unstable temperament and 25% were mental health status was extroversion disposition. But in graduates are 42% and 34% ( P type and N type) respectively according to neuroticism scale of EPQ. Unstable temperament is 58% and mental health status was extroversion disposition is 39%.Conclusion:The freshman and graduates psychological health of Shanxi Province of China is poor and should be paid more attention. the psychological state is related to different universities. the freshman and graduates are associated with personal characteristics, unstable professions, emotional trouble and passive attitude to the value and so on.

An Application of Rough Set Analysis toa Psycho-Physiological Study - Assessing the RelationBetween Psychological Scale and Immunological Biomarker

2009 ◽  
Vol 13 (4) ◽  
pp. 352-359
Author(s):  
Shusaku Nomura ◽  
◽  
Yasuo Kudo ◽  
Keyword(s):  
Rough Set ◽  
Linear Correlation ◽  
Mental Stress ◽  
Rough Set Theory ◽  
Physiological State ◽  
Mental States ◽  
Psychological State ◽  
Analysis Method ◽  
Psychological Scale ◽  
The Relationship

This study aims at an application of rough set theory to illustrate the relationship between human psychological and physiological states. Recent behavioral medicine studies have revealed that various human secretory substances change according to mental states. These substances, the hormones and immune substances, show temporal increase against mental stress. Thus, it is frequently introduced as biomarkers of mental stress. The relationship between these biomarkers and human chronic stresses or daily mental states was also suggested in the previous studies. However the results of these studies were sometimes inconsistent with each other. Some technical reasons were indicated for this discrepancy. Among that, we focused on the analysis technique investigating the relationship between human psychological state, i.e., scores of a psychological scale, and physiological state, i.e., level of the secretory biomarkers. In this paper, we introduced Rough Set analysis method instead of using a conventional linear correlation analysis method. In the experiment, the salivary secretory immunoglobulin A (IgA), which is a major stress biomarker, of 20 male students was assessed before and after a short-term stressful mental workload. Also, 65 items of psychological mood scale was assessed as a psychological index. The result showed that some items strongly related with the change in the IgA, while no significant linear correlation was obtained among them.

scholarly journals Sustainable Development of College and University Education by use of Data Mining Methods

2021 ◽  
Vol 16 (05) ◽  
pp. 102
Author(s):  
Liwen Wang ◽  
Soo-Jin Chung
Keyword(s):  
College Students ◽  
Decision Tree ◽  
Association Rules ◽  
Early Warning ◽  
Decision Tree Model ◽  
Apriori Algorithm ◽  
Tree Model ◽  
C Language ◽  
Education Management ◽  
Early Warning Mechanism

To improve the education efficiency of the students, the student-centered education plan is explored. First, the Apriori algorithm of association rules is used to mine the potential related patterns in the score data of college students and establish a reasonable teaching method. Second, aided by the decision tree model, the factors affecting students' academic performance are studied, and the potential relationship between different courses is studied. Finally, the Apriori algorithm of association rules combined with decision tree model is used to generate the early warning mechanism of students' achievement, and the course performance of college students is empirically analyzed. The results show that: C language has two sides of dependence on many subjects; higher mathematics → linear algebra → mathematical statistics → computer composition principle → computer network. The teaching scheme of C language → C + + → Java more conforms to the learning mechanism of college students. Through empirical analysis, the early warning mechanism of association rule Apriori algorithm and decision tree model can effectively analyze student's course and give student's achievement. It is found that the method proposed can provide theoretical basis for students, teachers, and university administrators to carry out education reform and education management decision-making, improve students' performance and education quality, and realize the "student-oriented" education concept, so it can be applied to the actual education management.

scholarly journals An Automatic Coffee Plant Diseases Identification Using Hybrid Approaches of Image Processing and Decision Tree

2018 ◽  
Vol 9 (3) ◽  
pp. 806 ◽  
Author(s):  
Abrham Debasu Mengistu ◽  
Seffi Gebeyehu Mengistu ◽  
Dagnachew Melesew Alemayehu
Keyword(s):  
Image Processing ◽  
Decision Tree ◽  
Activation Function ◽  
Plant Diseases ◽  
Southern Ethiopia ◽  
Coffee Plant ◽  
Coffee Berry ◽  
Hybrid Approaches ◽  
Coffee Leaf Rust ◽  
Coffee Plants

<p>Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD) and Coffee Wilt Disease (CWD) are the three main diseases that attack coffee plants. This paper presents the identification of these types diseases using hybrid approaches of image processing and decision tree. The images are taken from Southern Ethiopia, Jimma and Zegie. In this paper backpropagation artificial neural network (BPNN) and decision tree had been used as techniques; a total of 9100 images were collected. From these, 70% are used for training and the remaining 30% are used for testing. In general, 94.5% accuracy achieved when decision tree and BPNN with tanh activation function are combined.</p>

scholarly journals Application of Non-drug Methods in the Complex Rehabilitation of Children with Congenital Epidermolysis Bullosa

2021 ◽  
Vol 20 (4) ◽  
pp. 43-49
Author(s):  
Olga M. Konova ◽  
Tatiana V. Sviridova ◽  
Svetlana B. Lazurenko ◽  
Irina P. Brazhnikova ◽  
Svetlana V. Isaenkova ◽  
...  
Keyword(s):  
Epidermolysis Bullosa ◽  
Specific Treatment ◽  
Mental States ◽  
Rehabilitation Program ◽  
Mean Value ◽  
State Evaluation ◽  
Questionnaire Assessment ◽  
Before And After ◽  
The Individual ◽  
Parental Commitment

Congenital epidermolysis bullosa is known to be on the list of rare diseases for which there is no specific treatment. Determining thecontent and means of the rehabilitation program for patients with epidermolysis bullosa is not an easy task and involves a carefulselection of methods for each patient. Aim. The article analyzes the results of the use of non-drug methods in the complex rehabilitation of 90 children (from 6,5 to 18 years)with congenital epidermolysis bullosa. Material and methods. To assess the effectiveness of rehabilitation in the study before and after treatment we used methods ofclinical examination with skin state evaluation and standard psychological and pedagogical examination to determine the degree ofsocial adaptation of patients (analysis of medical and psychological and pedagogical documentation, structured conversation aboutsocial conditions of the child’s life, “Color diagnostic test of nervous and mental states and relations” (V.I. Timofeev and Y.I. Filimonenko),the method “Drawing of an unknown animal” (M.Z. Dukarevich, adaptation by A.L. Venger), “The T.V. Dembo-S.Y. Rubinstein Self-AssessmentResearch Method, the Self-Concept Scale” (E. Pierce, L. Harris, adapted by A. M. Prikhozhan), questionnaire “Assessment ofparental compliance” (D.E. Morisky, L.V. Green), questionnaire “Feeling, activity, mood” (V.A. Doskin, N.A. Lavrentieva, V.B. Sharay andM.P. Miroshnikov). The way in which diagnostics was organized varied taking into account the individual psychophysical capabilitiesof the child. Results. The effectiveness evaluation of the complex rehabilitation of children with epidermolysis bullosa showed an improvementin the clinical condition of the children (significant reduction/elimination of dryness and itching of the skin) and the indicators of wellbeing(mean value: before 30 points after 45, p ≤0.05), activity (mean value: before 25 after 34, p ≤0.05), mood (mean value: before 44,after 51, p ≤0.05) of patients (WAM questionnaire), an increase in the degree of parental commitment to treating children (Moriski-Green questionnaire) from medium to medium and high values. Conclusion. The inclusion of physical therapy and psychological and pedagogical methods of assistance in the process of rehabilitationtreatment increases its effectiveness, activates the compensatory potential of the child’s body, promotes harmonization of intrafamilyrelationships, and thus improves the quality of life of the child and his or her relatives.

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