Intelligence Proficiency Research Articles

Fostering Tomorrow: Uniting Artificial Intelligence and Social Pediatrics for Comprehensive Child Well-being.

This comprehensive review explores the integration of artificial intelligence (AI) in the field of social pediatrics, emphasizing its potential to revolutionize child healthcare. Social pediatrics, a specialized branch within the discipline, focuses on the significant influence of societal, environmental, and economic factors on children's health and development. This field adopts a holistic approach, integrating medical, psychological, and environmental considerations. This review aims to explore the potential of AI in revolutionizing child healthcare from social pediatrics perspective. To achieve that, we explored AI applications in preventive care, growth monitoring, nutritional guidance, environmental risk factor prediction, and early detection of child abuse. The findings highlight AI's significant contributions in various areas of social pediatrics. Artificial intelligence's proficiency in handling large datasets is shown to enhance diagnostic processes, personalize treatments, and improve overall healthcare management. Notable advancements are observed in preventive care, growth monitoring, nutritional counseling, predicting environmental risks, and early child abuse detection. We find that integrating AI into social pediatric healthcare aims to enhance the effectiveness, accessibility, and equity of pediatric health services. This integration ensures high-quality care for every child, regardless of their social background. The study elucidates AI's multifaceted applications in social pediatrics, including natural language processing, machine learning algorithms for health outcome predictions, and AI-driven tools for health and environmental monitoring, collectively fostering a more efficient, informed, and responsive pediatric healthcare system.

The impact of cultural intelligence on supply chain collaboration

Scholars and practitioners have emphasised the importance of gaining insights about cultural backgrounds of partners when engaged in a supply chain relationship. Using confirmatory factor analysis and structural equation modelling (SEM), this study examines the relationship between cultural intelligence (CQ) and supply chain collaboration and its impact on organisational performance. Reliable and valid instruments of three constructs (cultural intelligence proficiency, supply chain collaboration, and firm performance) were developed through rigorous empirical analysis. The results indicate that CQ proficiency enhances managerial performance and significantly improves supply chain collaboration outcomes.

双生兒を用いた知能・國語學力及び身體的成熟度に關する研究

The present paper is a report of a study of heredity and the influence of the environment on the degree of physical maturation, intelligence proficiency in the language in twins.The subjects studied are 50 pairs of twins, -25 pairs of identical twins, 18 pairs of fraternal twins, 7 pairs of unlike-sex twins, and 11 pairs of the control group of unrelated individuals. The last group is made up of 11 pairs of children, aged from 6 to 12, of the like-sex and of the same date of birth, and were picked up from the classes in which the selected twins were enrolled in school. The intelligence was measured by the non-language group intelligence test. The proficiency of the Japanese language was examined by the present author's test for each grade. The rough scores of the tests were converted to standard scores. The degree of bodily maturation was determined by the degree of ossification, which is evaluated by the measurement of the X-ray pictures of carpal bones, and is represented by Growth Quotient, G. O. = (the total of the areas of the subject's wrist bones) ÷ (the standard area obtained by the author's formula)×100.In the first place the author calculated the correlation between each of the I. Q′. s or proficiency in the language (Z-Score) and the bodily maturation degree (G. Q.). In the second place the author tried to determine how much influence heredity and environment have on each of the G. Q.′s and the I. Q.′s, and Z-score and calculated the ratio of heredity and environmental influence on the Concurrence Quotients (C. Q.) which are the index standing for the proportion of concurrence of I. Q. and G. Q. (I. Q./G. Q.×100), of Z-score and G. Q. (Z-score/G. Q.×100), or of Z-score and I. Q. (Z-score/I. Q.×100).As a statistical procedure the writer adopted, first, the method of calculating the degree of resemblance of twins by the percentile deviation (D = A - B/A + B×100) of measured values or index, and the ratio of heredity and influence of environment on twins based on F. Lenz's formula and others. Then the author resorted to the method of analysis of variance by which one may obtain the intraclass correlation (r′).The correlation coefficients and the correlation ratios thus obtained are as follows (Table 1) :Table 1** 1 percent level.Table 2The resemblance of twins calculated from the mean percentile deviation (e= ΣD/N) and the ratio of heredity and influence of enviroment obtained by the Lenz's formula follow (Table 2) : Since the homogeneity of variances as regards the trains under consideration is the fundamental assumption underlying the analysis of varance by which one may obtain the intraclass correlations, L-tests are run for the comparsions of properties for the twins and the control group. All of the L-values obtained indicate the homogeneity of variance at 1 percent level. The author then proceeded with the test of hypothesis that the trails of individuals are independent of the particular twin pair to which the individual belongs, by calculating the F-ratio. Then, when the result thus obtained is significant at a specified level of significance, the author calculated the intraclass correlation. The intraclass correlation coefficients (r′) thus calculated on G. Q., I. Q, , Z-Socre, and each C. Q. are as follows (table 3) :From the author's observation based on his above-mentioned study, it is evident the heredity exerts on influence not only on each realm of intelligence, proficiency in the language and the physical maturation degree but also on the degree of concurrence of each pair of the two properties among them. Then it is also observed that the correlation between intelligence or proficiency in language and the bodily maturation degree is based upon the hereditary factor which is someTable 3** 1 percent level * 5 percent levelcommon trait in mental and physical development.