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Describing students' mathematic communication skill in solving mathematic word problem is the aim of this research. The type of research is descriptive qualitative. Students with guardian personality become the focus of this research by selecting two samples which are Guardian personality type student with average reading skill, and Guardian personality type student with low reading skill. The data collection technique used in this research is inventory test, reading skill test, mathematic communication test, and interview. The test and interview results are analyzed based on four indicators: (1) the competence to present visual idea, (2) the competence in using mathematic notation, (3) the understanding of mathematic concept, (4) the ability to paraphrase mathematic problem in their words comprehensively. The description results of average reading skill Guardian type students show that they are capable to represent mathematic word problem with exceptional concept as well as representing those problem on their own language and perspective. However, they face difficulty on using mathematic notation in order to solve the mathematic word problem. The low reading skill Guardian type students show that their capability to represent mathematic word problem into graphic is limited, similar to the other task, which are using the mathematic notation on problem solving, and understanding the fundamental of the material taught by the teacher. They also need longer time to fully understand the concept since their ability in reading comprehension is not enough. [ABSTRACT FROM AUTHOR]

This study discusses the creative thinking process of rational personality type students based on Keirsey's personality dimensions. The stage used is the creative thinking process, according to Wallas. This research is qualitative descriptive research with the research student of one 8th-grade student with a rational personality type. Data collection techniques in this study used questionnaires, tests, and interviews on geometry material. This study found that rational personality type students have creative thinking processes: preparation, incubation, illumination, and verification. [ABSTRACT FROM AUTHOR]

Mental health is a major issue in the world. We can see various forms of mental illness like anxiety, depression, and mania in many of the people around us. These various stages of mental illness are very common in any type of mental disorder. The biological background and social environment are the main causes of mental illness. Maintaining stability is the biggest challenge in mental disorders. Though various treatments and medications options are available, Artificial Intelligence has so many efficient ways for diagnosing and treating patients. In this paper, we summarize the efforts done and issues working with Artificial Intelligence for diagnosis and stability in mental disorders. [ABSTRACT FROM AUTHOR]

This paper runs over regions where it approaches a lot of individual conduct information. This information can be useful to arrange the personality traits as per attribute received. In this paper, the framework proposes a mechanism have been studied the different type of personality attributes and do compose as per the best five super attributes so that under 5 personality traits covers all attributes as subset of all 5 developed personality traits. The framework utilizes learning calculations like Naive Bayes, j48, Decision tree and Random Forest alongside cutting-edge information mining to mine user attributes information and gain from the examples. This learning would now be able to be utilized to group/anticipate user identity in view of past orders. In this paper we have done the personality classification and our target audience are the students who want to know what kind of career path will be most appropriate for them. We have collected the data from students and then processed to classify their personality on the basis of that data. By using it will be very helpful to all students who don't know which career line are suitable for them? According to the output of this process Random Forest got the higher accuracy i.e., the personality traits of a particular individual we can suggest them a suitable career path based on the result. [ABSTRACT FROM AUTHOR]

Personality or Persona is an essential component of life that indicates an individual's set of characteristics of a person that affects their lifestyles, behaviors, approach, defiance and perceptions. It impacts how one lives, speaks, behaves, communicates, articulates, and expresses themselves as well as one's emotional healthiness. Personality evaluation comes naturally to humans and is used on a day-to-day basis with different people and for various purposes. Texts and data are easily available on these Social Networking sites providing an opportunity to recognize an individual's personality traits automatically. This paper initiates efforts to understand that information can be efficiently consumed to analyze the personality type of a concerned user, the main target is to gain acquaintance of an individual's personality by using data gathered from various social media platforms of various individual users. Myers-Briggs Type Indicator is a dependable and infallible procedure to route the prediction. The outcomes of the corresponding techniques are matched and compared to illustrate better precision, accuracy and consistency. To achieve this, Machine Learning Techniques namely XGBoost classifier, Logistic regression, Support Vector Machines are put to use to predict personality traits. The following personality traits as defined by Myers-Briggs Type Indicator (MBTI) model, viz. Introversion-Extroversion(I-E), intuition-Sensing(N-S), Feeling-Thinking(F-T) and Judging-Perceiving(J-P) from input text. The potential future scope of this paper assists psychologists and consultants and experts to identify the corresponding personality types and their. connected cognitive processes. The project studies a person's posted or created content, for instance, Instagram/Facebook posts, Blogs, Twitter tweets, YouTube content. It makes use of an openly accessible standard dataset from Kaggle to perform the predictive analysis that uncovers a personality type of a person. The results obtained by two of the used classifiers are compared and comprehended, the methods are up to 65% accurate. However, the XGBoost classifier's performance is prominent showing more than 99% precision and accuracy for different traits. The nature of data collected, text preparation methods and machine learning approaches utilized to predict personality scores are all important issues in this study. The skewness of the dataset is the main issue associated with the prior work, which is minimized by applying the Re-sampling technique namely random over-sampling, resulting in better performance. For more exploration of the personality from text, pre-processing techniques including tokenization, word stemming, stop words elimination and feature selection are also exploited. [ABSTRACT FROM AUTHOR]

In conjunction with the scientific and technological revolution that the world is witnessing nowadays in all domains of life, work-related stress has become a serious and widespread issue. Work-related stress or stress of the job is a serious physical and emotional response that the person or the employee show when they are under stress especially when the job environment, requirements, and conditions do not match with their capabilities and their level of knowledge or education. In recent years, this issue has attracted the attention of many countries and researchers around the world as a result of its negative and severe effects on the individual, society, and economy of countries. The researchers noted that the stress of work relies on many factors, the most important is personality formation and characteristics. Such as optimism or pessimism, self-control, hardness, and self-efficacy. This study investigates and identifies the personality types of construction professional engineers in a growing country such as Yemen. Sixty-two (62) questionnaires set using a seven-point scale method were distributed among the professional engineers in the construction projects in Aden city south of Yemen to achieve the objective of this study. The data is analyzed using the frequency rate and scoring analysis method. The results will be categorized according to the personality type of the professional engineers then will be presented in tables and figures for easy interpretation. The outcomes of the study showed that Yemeni engineers are with different types of personalities confined between type A, AB, and B personality characteristics. This means those professionals engineers are distinguished by their punctuality and well-managed work-life balance. A good understanding of this study outcome in a growing country such as Yemen could be used as a road map for stress elimination, and improve the performance of construction professionals. [ABSTRACT FROM AUTHOR]

Children's mental disorders, namely as a disease of health disorders that include autistic mental retardation and anxiety disorders. Mental disorders in children are still many who do not know (the layman). This is due to the lack of knowledge related to child development disorders, or symptoms and the lack of special pediatricians and psychologists. This study aims to build and produce a system used to diagnose early symptoms in people with mental disorders in children and later can help provide a decision as good as the work of a pediatrician or psychologist. This study uses the forward chaining method to be able to trace on a basis consisting of symptoms, types of disturbances, and rules. The results of this application after passing tests in the form of black-box testing and usability testing. The results of usability testing showed that the community was helped in knowing the type of mental disorder experienced so that the presentation showed 86% and was included in the ^Very Good^ category. In terms of appearance and layout, people are not confused so that the calculation on the UI/UX aspect produces a very good category of 81% and 20% Errors/Bugs. [ABSTRACT FROM AUTHOR]

This research studied consumer engagement and gratification with special reference to brand-sponsored communication on social media. The research includes the method and likelihood of interaction of each personality type with various content types. Forrester's Techno graphic social ladder was used in correlation with the big five personality types to study the personality types. This research highlights the importance of understanding the target audience's motivations and gratifications while interacting with brand-sponsored communication/content and the social media platform's influence on the same. There were parallel findings relevant to the mentioned theme too. The three big questions that were answered through this research are: What is the content type vs. personality type that is most likely to interact with it? (Elements of the brand-sponsored content that make a difference) What are the motivations and gratifications behind interaction with the brand-sponsored content on social media? Which characteristics of the social media platform influence consumer content interaction? This paper finds a correlation between the personality types, their interests, expectations from the brand, gratifications sought, and method of interaction with brand-sponsored communication. Every personality type has its own set of interests, social media usage patterns, motivations behind interaction with brands, and expected gratifications from their user-generated content. Using these insights, the brands can plan their content strategy, online reputation management strategies, and online consumer engagement strategies more effectively. The research has also pinpointed how the current system of measuring audience consumer engagement can improve online consumer engagement. [ABSTRACT FROM AUTHOR]

This study aims to describe students' mathematical literacy in solving PISA-like problems based on Keirsey types of personality. This study is a descriptive study with a qualitative approach. The subjects in this study were 60 junior high school students who were then selected six 15-years old students consisting of three guardian personality students and three artisan personality students that were measured by Personality Classification Test (PCT). Those six students were given Mathematical Literacy Test (MLT) and task-based interviews. Furthermore, the data from both tests were analyzed based on mathematical literacy indicators according to PISA (formulate, employ, and interpret and evaluate) and obtained descriptions of students' mathematical literacy. The results of this study showed that there are different descriptions of mathematical literacy between students with guardian personality type and students with artisan personality type. Students with guardian personality types tend to present the solution of problem in a comprehensive and structured procedure. While students with artisan personality types tend to be more flexible in problem solving. The result of this study can be used as a guideline in the future study regarding to students' mathematical literacy based on personality types. [ABSTRACT FROM AUTHOR]

Elder people are the assets of the nation and can ensure peaceful and healthy life. Due to societal and financial difficulties, elders are not able to afford medical facilities. Healthcare is still an evolving service in most of the developing and under developing countries. Healthy nation can contribute more wealth to the society. Life span of people has increased with technological support and statistic reveals that by 2030 the population of elderly people (above 65years) will become double. Most of the researches on types of cancer, heart diseases, diabetes, and arthritis and so on. Mental related diseases also play a vital role nowadays. Due to life style, chronic diseases (Blood pressure, diabetes), and depression leads to mental illness. It has huge personal, medical, financial and societal impact. This paper analyses the types of mental illness, its causes, preventive and diagnosis methods. Also analyses the importance of machine learning, image processing IoT and expert systems in this field. The proposed analysis can improve the understanding and importance of cognitive impairment. [ABSTRACT FROM AUTHOR]

This research is describe students' ability to solve arithmetic sequence problems based on the IDEAL problem solving stages (Identify problem, Define goal, Explore possible strategies, Anticipate outcome and act, Look back and learn) in terms of The Keirsey Temperament Sorter (guardian, artisan, idealist, rational personality type) and ability category (excellent, good, enough, less, very less). This type of research is descriptive with a qualitative approach. The research data collection method used questionnaires, tests and interviews. The research subjects were 10 students of class XII of a school in Bondowoso, East Java. Based on results of the research obtained guardian personality type student SGSB are able to fulfill 4 stages of IDEAL problem solving. Artisan personality type students SASB are able to fulfill 4 stages and SAC are able to fulfill 3 stages. Idealist personality type student SISB are able to fulfill 5 stages, SIC are able to fulfill 3 stages, while SISK are able to fulfill 2 stages. Rational personality type student SRSB are able to fulfill 5 stages, SRB are able to fulfill 4 stages, SRK are able to fulfill 2 stages, and SRSK only to fulfill 1 stage. [ABSTRACT FROM AUTHOR]

Beliefs, personality type, motivation, and problem-solving are essential aspects that influence mathematics success. Although these aspects are essential, there is still not much research that reveals how the impact of belief aspects on other essential aspects. This article reports on how belief impacts motivation and problem solving in students with different personality types. Subjects with different personalities are selected, then data is retrieved. Data were collected by conducting interviews based on problem-solving and motivation questionnaires. The interview transcription results are then analyzed for a conclusion. This study demonstrates that belief systems have a complex relationship with motivation and problem-solving implications based on personality types. For students with different personality types, the students' beliefs impact differences in motivation and problem-solving strategies that will be used. Introverts tend to use detailed strategies, whereas extroverts tend to use strategies that lack calculations in solving math problems. [ABSTRACT FROM AUTHOR]

This paper proposes a way to approach the “hard problem” of consciousness. First, we present a typology of the main models developed in the litterature to understand consciousness. Most of them adopt a physicalist ontology and a functionalist epistemology. We then present the main features of a metamodel we have elaborated to interpret nonlinear systems evolving toward complexity and autonomy. This systemic metamodel is a general framework that can later be used to make models of specific systems. As an extension of the mechanist paradigm, it is based on three primordial categories objects, relations and wholes or systems. In the last part, we apply it to the cases of the logic of life and the nature of consciousness. Both can be interpreted by the metamodel, in particular, by the autopoiesis proposed by Maturana and Varela for life and self-reference for consciousness. © 2004 American Institute of Physics [ABSTRACT FROM AUTHOR]