Mathematical Intelligence Research Articles

Risk estimation of gestational diabetes and diabetes mellitus of type -2 because of PCOD through Mathematical and Artificial Intelligence models

Pre-existence of PCOD (polycystic ovarian disease) cause the severity of diabetes during pregnancy as gestational diabetes (GD) and post-pregnancy diabetes mellitus of type -2 (DMT-2). Early detection of PCOD may help manage the severity of diabetes mellitus in pregnancy and postnatal. This analysis conveyed to understand the pervasiveness of PCOD and its complication with diabetes mellitus and body mass index (BMI). A contextual and statistical study of the data extracted from kaggle.com in 541 patients (180 with PCOD and 361 without PCOD) of southern India has been done. The random forest (RF) technique of Artificial Intelligence (AI) model has been used to analyze the correlations among parameters. In the body mass index, 42% of 180 PCOD patients have ≥ 27 kg/m2 body mass, as waist-hip ratios are in the range of 0.80 – 1.00. With pre-existence PCOD, 35% of women are pregnant. It has observed that 84% pregnant women have the risk of developing gestational diabetes, and few women have the chance to develop diabetes mellitus of type-2. The results were analyzed by RF technique of AI through Karl Pearson’s coefficient of correlation. The patients struggling with PCOD, facing high BMI and high waist-hip ratio (0.80 – 1.00) risk of gestational diabetes, thereof early detection and diagnosis of PCOD will reduce the risk of development of GD and DMT-2.

Asymptotic linear - nonlinear duality, indeterminism and mathematical intelligence

The formalism of asymptotic duality structure with applications to late time asymptotic states of linear and nonlinear systems is presented. A scale invariant linear differential system is shown to admit higher derivative discontinuous, nonsmooth solutions under the action of asymptotic duality transformations. The relevant asymptotic quantities are self dual and finitely differentiable. The geometrical meaning and applications to higher order nonlinear systems are presented on the space of differentiable functions. A novel duality relationship between linear and nonlinear systems is exposed. A linear system is shown to extend self similarly over nonlinear, classically inaccessible scales thereby extending classical smooth solution space to a nonsmooth one. A nonlinear system, on the other hand, is shown to proliferate into a system of self similar linear equations that could be solved exactly to have a very efficient high precision computation of periodic orbits. An extension of self dual asymptotics to critically self dual case in the space of continuous functions reveals a connection to prime number theorem and the associated correction term respecting the Riemann hypothesis.

The Introduction of Geobox Media to Develop Mathematical Logical Intelligence on Early Childhood

At this time the child's ability in logical mathematics still needs to be developed in various ways, one of which is by playing. In the process of playing, it cannot be separated from the media, to develop mathematical logic intelligence, media related to numbers and geometric shape patterns are needed, such as playing Geobox media. This article aims to determine the increase in children's mathematical logic intelligence using GeoBox playing media. The type of research used is PTK (Classroom Action Research) in which the research subjects are 10 children who are in TPA Qurratu'Ain in Harusan, South Kalimantan, the results of this study indicate that the GeoBox playing media is able to make children's mathematical logic intelligence increase pre-cycle, which was initially 10, 0 then becomes 12.5 in cycle I and cycle II as much as 15.5%. The intelligence possessed by children can be developed in an appropriate and appropriate way for the child, therefore the selection of tools for children's play must be carefully selected so that this development can be optimal.

Understanding of Numerical Information during the COVID-19 Pandemic.

Media news during the Coronavirus Disease 2019 (COVID-19) pandemic often entail complex numerical concepts such as exponential increase or reproduction number. This study investigated whether people have difficulties in understanding such information and whether these difficulties are related to numerical competence, reflective thinking, and risk proneness. One hundred sixty-three participants provided answers to a numeracy scale focusing on complex numerical concepts relevant to COVID-19 (COV Numeracy Scale). They also provided responses to well-established objective and subjective scales, questions about affective states, and questions about the COVID-19 pandemic. Higher scores on the COV Numeracy Scale correlated with higher scores on the Health Numeracy Scale, in the Cognitive Reflection Test (CRT), and in self-assessments of verbal comprehension, mathematical intelligence, and subjective numeracy. Interestingly, scores on the COV Numeracy Scale also positively correlated with the number of consulted information sources about COVID-19. Accuracy in the CRT emerged as a significant predictor, explaining ca. 14% of variance on the COV Numeracy Scale. The results suggest that people with lower reflective thinking skills and lower subjective and objective numerical competence can be more at disadvantage when confronted with COVID-related numerical information in everyday life. These findings advise caution in the communication of relevant public health information that entails complex numerical concepts.

BAKAT ANAK DALAM PERSPEKTIK PSIKOLOGI

Talent is a capacity or potential that is influenced by experience orlearning, talent is related to the possibility of mastering a pattern of behavior in certainaspects of life. In my opinion talent is innate which is the potential to actualize himself as aservant (abid) who serves Allah and is the potential to actualize himself as (Khalifatullah)on earth, therefore talent must always be developed through exercises, so that talent will bewill help to become a responsible caliph. There is a close relationship between intelligenceand talent of children. This is indicated by the understanding of the child's own talentwhich means great potential in a type of intelligence. While intelligence itself is dividedinto several aspects, namely logical and mathematical intelligence, language intelligence,visual-spatial intelligence or imagination, kinesthetic or physical intelligence, musicalintelligence, interpersonal or social intelligence, intrapersonal intelligence, naturalistintelligence, spiritual intelligence, and financial intelligence. . This means that a person'stalent can lead to one of these intelligences.

Description on 10th grade–science Students’ Problem solving skill based on Wankat and Oreovics Theory viewed from Mathematical logical intelligence

This research aims to describe the ability of problem-solving based on the theory of Wankat and Oreovicz reviewed from mathematical logical intelligence in a system of linear equations in three variables. This research is a qualitative research with a descriptive method. The subjects in this research were students of class X IPA who represent each category of mathematical logical intelligence that is high, medium, and low. The research instruments consist of the mathematical logical intelligence test, the problem-solving ability test, and the interview guidelines. The results of research show that: (1) the student with high mathematical logical intelligence was able to solved the problem well. (2) the student with medium mathematical logical intelligence was able to do problem solving altough they did exprience misconseption in the calculating process; (3) the student with low mathematical logical intelligence was able to carry out same step of problem solving that is exploration step.

Applications of Non-Standard analysis in Topoi to Mathematical Neurosciences and Artificial Intelligence: Infons, Energons, Receptons (I)

The purpose of this paper is to promote new methods in mathematical modeling inspired by neuroscience—that is consciousness and subconsciousness—with an eye toward artificial intelligence as parts of the global brain. As a mathematical model, we propose topoi and their non-standard enlargements as models, due to the fact that their logic corresponds well to human thinking. For this reason, we built non-standard analysis in a special class of topoi; before now, this existed only in the topos of sets (A. Robinson). Then, we arrive at the pseudo-particles from the title and to a new axiomatics denoted by Intuitionistic Internal Set Theory (IIST); a class of models for it is provided, namely, non-standard enlargements of the previous topoi. We also consider the genetic–epigenetic interplay with a mathematical introduction consisting of a study of the Yang–Baxter equations with new mathematical results.

Effect of Mathematics Anxiety and Intelligence on Students’ Logical Thinking Ability


 This study aims to determine the effect of mathematics anxiety and intelligence on students' logical thinking skills. Which involved 96 respondents at high school. The research instruments used in this study were mathematics anxiety questionnaires, intelligence test questions, and logical thinking ability test questions. The data analysis technique used is multiple linear regression analysis. The results of this study indicate that there is an effect of mathematics anxiety and intelligence on students' logical thinking abilities.

A STUDY ON FACTORS AND TYPE OF ACADEMIC INTELLIGENCE (AQ)

In the present study, researchers attempt to find out “A Study on Factors And Type of Academic Intelligence.” This problem has been selected to find out in intelligence in the case of a person’s good Academic Achievement. So, The researchers have entitled the study “A Study on Factors And Type of Academic Intelligence.” Present the study focuses on Exploratory Research. Information is collected are various websites, journals, and After studying the Approach to Intelligence from Unitary to Multiple intelligences Theory. The main objective of the study to find out the concept of Academic Intelligence, Characteristics of Academic Intelligence, Factors of Academic Intelligence, Type of Academic Intelligence. Eight factors are necessary for Academic Intelligence but at least three factors necessary for anyone Academic Intelligence, eight-factor such as Cognitive Factor, Emotional Factor, Spiritual Factor, Social Factor, Cultural Factor, Problem Solving Factor, Mathematical Factor, Scientific Factor, etc. Eight different types of Academic Intelligence help in Academic Achievement. Such as Scientific Intelligence, Commercial Intelligence, Social scientific Intelligence, Educational Intelligence, Medical Intelligence, Technological Intelligence, Mathematical Intelligence, Management & Administration Intelligence. Findings of research studies are basic concepts, characteristics, Factors, and type of academic intelligence are known.

Optimization of the Tungsten Inert Gas Process Parameters using Response Surface Methodology

Optimization is a very important techniques applied in the manufacturing industry that utilizes mathematical and artificial intelligence methods. The complexity associated with most optimization techniques have resulted to search for new ones. This search has led to the emergence of response surface methodology (RSM). The paper aims to optimize tungsten inert gas process parameters required to eliminate post-weld crack formation and stabilize heat input in mild steel weldment using RSM. The main input variables considered are voltage, current and speed whereas the response parameter is Brinell hardness number (BHN). The statistical design of experiment was done using the central composite design technique. The experiment was implemented 20 times with 5 specimens per experiment. The responses were measured, recorded and optimized using RSM. From the results, it was observed that a voltage of 21.95 V, current of 190.0 A, and welding speed of 5.00 mm/s produced a weld material with the following optimal properties; BHN (200.959 HAZ), heat input (1.69076 kJ/mm), cooling rate (72.07 /s), preheat temperature (150.68 ) and amount of diffusible hydrogen (12.36 mL/100g). The optimal solution was selected by design expert with a desirability value of 95.40 %.

MELATIH KECERDASAN MATEMATIS LOGIS ANAK MELALUI KEGIATAN FUN COOKING DI SD NU METRO LAMPUNG

This research was motivated by curiosity in terms of developing logical mathematical intelligence in first grade students at SD NU Metro Lampung. This research focused on Fun Cooking activities which aim to develop children's interests and talents. This study uses critical analysis method, so this study is descriptive qualitative analysis to become a learning innovation in students development at mathematical intelligence. From the results of the study, it can be seen that the first grade students at SD NU are very enthusiastic in participating in Fun Cooking activities. Through several processes, stages and explanations conveyed by the teacher, it turns out that the development of children's logical mathematical intelligence, in first grade students is very efficient and it can be seen that children are able to understand various types of staple food ingredients, dosages in making dough, children are able to understand numbers, understand the duration of time to bake cakes, be creative in printing and make innovations on pizza, understand geometric shapes, for example round, square, triangle, and so on.
 
 Keywords: Fun Cooking, Mathematical Intelligence, Interests and Talents

Multiple Intelligences Theory And The 99 Names Of God In Islam (asma Allah Al Husna): A Brain-based Perspective

Abstract In the early 1980s, Howard Gardner (1983) redefined the concept of intelligence and suggested that intelligence is not a single entity, but a variety of talents. His theory of Multiple Intelligences, considers rhythmic / musical, kinesthetic, spatial, interpersonal, intrapersonal, verbal, mathematical, existential and naturalistic intelligences. This theory acclaimed Gardner as the most influential educational theorist since John Dewey. Islam confirms Gardner’s theory and proposes a variety of intelligences, which can integrate educational curricula and promote learning, teaching and all ways of human life. The 99 names of Allah constitute the pillar of these intelligences. They either match with Gardner’s intelligence criteria, or are carefully confirmed findings by neuropsychology, and functional magnetic resonance imaging. Understanding these names might help neuropsychologists to understand the still hidden power of the brain. Keywords: Multiple intelligences Theory, 99 Names of Allah, neuropsychology, learning, functional magnetic resonance i

FEATURES OF USE OF LOGICAL BLOCKS OF DENNESH IN THE INTELLECTUAL DEVELOPMENT OF PRESCHOOL CHILDREN

The article identifies the relevance of the study of the problem of intellectual development of preschool children by didactic means. It is necessary to conduct research to find effective teaching aids that promote the intellectual development of preschool children. The definition of the concept of "intelligence", theoretical studies of intellectual development and intellectual education of preschoolers are presented. To substantiate the expediency of using and having a wide range of developmental possibilities of Dienes' logical blocks for the intellectual development of preschool children. Emphasis is placed on the fact that in the process of various actions with logical blocks, children master different skills, as well as develop logical and mathematical abilities and intelligence. The composition of a set of Dienes logic blocks is described. Some methodological aspects of working with them are described. The problem considered in the article has all prospects for further research. It is necessary to develop methodological recommendations for the use of logic games using Dienes blocks for the intellectual development of preschool children. The set of blocks attracts preschool children with a variety of shapes, bright colors, versatility in use. The varieties of games and game exercises with Dienes logic blocks are listed. We see the continuation of this study in the use of Dienes' logical blocks in the independent activities of preschool children. Examples of games and game exercises with Dienes logic blocks are given.

Mathematical reasoning ability of junior high school viewed from logical mathematical intelligence

Mathematical reasoning is crucial especially at school since students need to think logically and be able to draw new conclusion based on evidence. This is a descriptive qualitative research which aims to analyze mathematical reasoning ability viewed from logical mathematical intelligence with 32 eight graders of Junior High School of 01 Jiwan involved. Instrument used is mathematical reasoning ability and logical mathematical intelligence test. The result of the research shows that students with high logical mathematical intelligence were able to present mathematical statement (88.89%), compile evidences or create solution (81.48%), design the characteristic or relationship pattern of mathematical phenomena (74.07%), and describe the logical conclusion related to ideas and their relationship (77.78%). Students with medium logical mathematical intelligence were able to present mathematical statement (60%), compile evidences or create solution (71.11%), design the characteristics or relationship pattern of mathematical phenomena (55.56%), and describe the logical conclusion related to some ideas and their relationship (57.78%). Students with low logical mathematical intelligence were able to present mathematical statement (58.33%), compile evidences or create solution (54.17%), design the characteristics or relationship pattern of mathematical phenomena (50%), and describe the logical conclusion related to some ideas and their relationship (45.83%).

Helicobacter pylori infection in adult obesity-related nephropathy patients under the partial differential network mathematical model-based artificial intelligence health data monitoring

This study aimed to explore the relationship between obesity-related glomerulopathy (ORG) and Helicobacter pylori (HP) infection in adults. Therefore, an artificial intelligence health data monitoring system was established based on the partial differential network mathematical model. The 13C breath test method was applied to detect HP infection in the research objects. A total of 130 patients were included in this study, and rolled into an experimental group (test results were negative) and a control group (test results were positive) according to the results of the 13C breath test. The results showed that there were 83 patients (63.85%) with HP-positive infection and 47 patients (36.15%) with HP-negative infection. The serum creatinine (SCr), 24-hour urine protein level, and the proportions of patients with damaged renal tubules, abnormal retinol-binding protein (RBP), and abnormal N-aceltyl-D-glucosaminidase (NAG) of the patients in the experimental group were markedly higher than those of the control group (P < 0.05); the proportions of patients with global sclerosis, segmental sclerosis, severe fibrosis, and moderate fibrosis in the experimental group were substantially higher than those of the control group (P < 0.05); and the proportions of patients with hypertriglyceridemia, hyperuricemia (HUA), and low high-density lipoprotein cholesterol (LDL-C) in the experimental group were greatly higher than the proportions of the control group (P < 0.05). In short, the partial differential network mathematical model-based artificial intelligence health data monitoring system under E-health can obtain the basic information of the patients in real time, and the HP-positive infection was highly expressed in the ORG patients. The renal function damage of patients with HP-positive infection in ORG was more serious than that of patients with HP-negative infection. Thus, HP infection might be related to the process of ORG.

The use of artificial intelligence algorithms in the criminalistic study of criminal activity (on the example of serial crimes)

Since artificial intelligence technologies are firmly embedded in many areas of modern life, it is time to explore in detail their capabilities in criminology in the study of criminal activity. The article describes the experience of developing digital models of serial crimes committed for sexual reasons using artificial intelligence algorithms. The empirical basis of the study was data on 1068 serial crimes, including murder. Methods of mathematical statistics and a number of artificial intelligence algorithms were used for data processing: gradient boosting, neural networks, logistic regression, etc. As a result, typical signs of crimes and natural connections between them, used for training models, presented by artificial intelligence algorithms, are revealed. The obtained decision support systems allow predicting the distance from the crime scene to the place of residence of the offender (accuracy 88.3—93.5 %), the age of the offender (accuracy 80.3 %, confidence interval ±6 years), the presence of a mental illness (accuracy 81.5 %) and criminal record (accuracy 82 %), as well as some other characteristics. According to the results of the study, it is concluded that the methods of mathematical statistics and artificial intelligence can be used in the investigation of crimes, as well as in criminalistics.

Mathematical logical intelligences as a predictor of mathematics learning outcomes

Penelitian ini dimaksudkan guna mengetahui prediksi hasil belajar matematika siswa mengacu dari kecerdasan logis matematis serta kecerdasan visual spasial. Penelitian ini menerapkan pendekatan kuantitatif, jenis penelitian korelasional. Penelitian dilaksanakan di SMP Negeri 16 Yogyakarta. Sampel yang digunakan sebanyak 36 siswa, metode penentuan sampel memakai cluster random sampling. Adapun instrumen yang dipakai guna menghimpun data yaitu skala kecerdasan logis matematis serta visual spasial. Teknik analisis data pada penelitian ini memakai analisis regresi ganda menggunakan software SPSS 25. Hasil penelitian menunjukkan jika kecerdasan logis matematis dan visual spasial terbukti sebagai prediktor hasil belajar matematika siswa kelas VIII SMP Negeri 16 Yogyakarta.

Neural correlates of improved inductive reasoning ability in abacus‐trained children: A resting state fMRI study

Abacus-based mental calculation (AMC) training may improve mathematics-related abilities and transfer to other cognitive domains. Thus, it was hypothesized that inductive reasoning abilities can be improved by AMC training given the overlapping cognitive processes and neural correlates between AMC and inductive reasoning. The aim of the current study was to examine the underlying neurobiological mechanisms of this possible adaption by resting-state functional magnetic resonance imaging (rs-fMRI). Sixty-three children were randomly assigned to either the AMC-trained or the nontrained group. The AMC-trained group was required to perform abacus training for 2 hours per week for 5 years whereas the nontrained group was not required to perform any abacus training. Each participant's rs-fMRI data were collected after abacus training, and regional homogeneity (ReHo) analysis was performed to determine the neural activity differences between groups. The participants' posttraining mathematical ability, intelligence quotients, and inductive reasoning ability were recorded and evaluated. The results revealed that AMC-trained children exhibited a significantly higher mathematical ability and inductive reasoning performance and higher ReHo in the rostrolateral prefrontal cortex (RLPFC) compared to the nontrained group. In particular, the increased ReHo in the RLPFC was found to be positively correlated with improved inductive reasoning performance. Our findings suggest that rs-fMRI may reflect the modulation of training in task-related networks.

Analysis of mathematical creative thinking level based on logical mathematical intelligence

Creativity is an ability that must be developed from an early age. The ability to think creatively is also one of the higher-order thinking skills needed in the 21st century. This study aimed to analyze the level of mathematical creative thinking skills of students’ mathematical logical intelligence. Indicators on the ability to think creatively include fluency, flexibility, and novelty. The method used in this research was descriptive qualitative. Data filling methods were tests, interviews, and documentation. The results of this study revealed the profile of students’ level of mathematical critical thinking and logical mathematical intelligence, and showed that students who have high mathematical logical intelligence are at level 3 creative thinking (creative). Students who have mathematical moderate logical intelligence are at level 2 creative thinking (creative enough) and students who have low mathematical logical intelligence are at creative thinking level 0 (not creative). Therefore, based on the results of this study, we know that students who have high, medium, and low mathematical logical intelligence can solve math problems based on their creative thinking abilities.

The effect of inquiry learning model and logical mathematical intelligence on the learning outcomes of high school students

This research aimed to determine the differences in student learning outcomes through the Inquiry learning model, to see the influence of the interaction between learning models and logical-mathematical intelligence on student learning outcomes, and to find out differences in student learning outcomes through the inquiry learning model in the logical-group mathematical intelligence high and low. The research was conducted at Public High School 2 in South Tangerang City with a sample of 74 students consisting of 37 students in the experimental class and 37 students in the control class. This study used the quasi-experiment method and the research design was treatment by level 2x2. Based on the research results obtained by data analysis and hypothesis testing, it can be concluded that: (1) there are differences in the learning outcomes of students when given the inquiry learning model; (2) there is an interaction effect between inquiry learning models and logical-mathematical intelligence on student learning outcomes; (3) the learning outcomes of students who are taught with the guided inquiry learning model are higher than those taught with the self inquiry learning model in both the high and low logical-mathematical intelligence groups.