Child Development

Research in neurobiology clarifies the extent to which the interaction between genetics and early experience shapes brain architecture that impacts mental health. The affective domain and emotional development often receive less recognition as a core capacity emerging during early childhood than the cognitive domain. However, the foundations for social competence are developed from early childhood experiences linked to a child's emotional relationships with caregivers. A review of the neuroscience literature provides a consensus of what a young child needs to experience in the first three years of life in order to achieve optimal social and emotional development for supporting learning.

Machine learning techniques will contribution to making Internet of Things (IoT) applications that are considered the most significant sources of new data in the coming future more intelligent, where the systems will be able to access raw data from different resources over the network and analyze this information in order to extract knowledge. This study focuses on supervised machine learning techniques that is considered the main pillar of the IoT smart data analysis. This study includes reviews and discussions of substantial issues related to supervised machine learning techniques, highlighting the advantages and limitations of each algorithm, and discusses the research trends and recommendations for further study.

The following publications are included in the Digital Collection. These are electronic publications which will be permanently accessible from the Digital Collection location. They have been cataloged and included in the State Library of Ohio’s catalog and OhioLINK central catalog. The publications are categorized by agency, and then listed alphabetically by title with OCLC accession number and Ohio documents call number. The monthly list is divided by monographs and serials. The Digital Collection includes some non-document publications