Explore the vast range of titles available.

In this book, Gregory Feist reviews and consolidates the scattered literatures on the psychology of science, then calls for the establishment of the field as a unique discipline. He offers the most comprehensive perspective yet on how science came to be possible in our species and on the important role of psychological forces in an individual's development of scientific interest, talent, and creativity. Without a psychological perspective, Feist argues, we cannot fully understand the development of scientific thinking or scientific genius.The author explores the major subdisciplines within psychology as well as allied areas, including biological neuroscience and developmental, cognitive, personality, and social psychology, to show how each sheds light on how scientific thinking, interest, and talent arise. He assesses which elements of scientific thinking have their origin in evolved mental mechanisms and considers how humans may have developed the highly sophisticated scientific fields we know today. In his fascinating and authoritative book, Feist deals thoughtfully with the mysteries of the human mind and convincingly argues that the creation of the psychology of science as a distinct discipline is essential to deeper understanding of human thought processes.

Presents more than thirty full-page science maps, fifty data charts, a timeline of science-mapping milestones, and 500 color images, which serve as a sumptuous visual index to the evolution of modern science and as an introduction to \"the science of science\"--charting the trajectory from scientific concept to published results.

Alfred C. Kinsey's revolutionary studies of human sexual behavior are world-renowned. His meticulous methods of data collection, from comprehensive entomological assemblies to personal sex history interviews, raised the bar for empirical evidence to an entirely new level. InThe Classification of Sex,Donna J. Drucker presents an original analysis of Kinsey's scientific career in order to uncover the roots of his research methods. She describes how his enduring interest as an entomologist and biologist in the compilation and organization of mass data sets structured each of his classification projects. As Drucker shows, Kinsey's lifelong mission was to find scientific truth in numbers and through observation-and to record without prejudice in the spirit of a true taxonomist.Kinsey's doctoral work included extensive research of the gall wasp, where he gathered and recorded variations in over six million specimens. His classification and reclassification ofCynipsled to the speciation of the genus that remains today. During his graduate training, Kinsey developed a strong interest in evolution and the links between entomological and human behavior studies. In 1920, he joined Indiana University as a professor in zoology, and soon published an introductory text on biology, followed by a coauthored field guide to edible wild plants.In 1938, Kinsey began teaching a noncredit course on marriage, where he openly discussed sexual behavior and espoused equal opportunity for orgasmic satisfaction in marital relationships. Soon after, he began gathering case histories of sexual behavior. As a pioneer in the nascent field of sexology, Kinsey saw that the key to its cogency was grounded in observation combined with the collection and classification of mass data. To support the institutionalization of his work, he cofounded the Institute for Sex Research at Indiana University in 1947. He and his staff eventually conducted over eighteen thousand personal interviews about sexual behavior, and in 1948 he publishedSexual Behavior in the Human Male,to be followed in 1953 bySexual Behavior in the Human Female.As Drucker's study shows, Kinsey's scientific rigor and his early use of data recording methods and observational studies were unparalleled in his field. Those practices shaped his entire career and produced a wellspring of new information, whether he was studying gall wasp wings, writing biology textbooks, tracing patterns of evolution, or developing a universal theory of human sexuality.

Presents more than thirty full-page science maps, fifty data charts, a timeline of science-mapping milestones, and 500 color images, which serve as a sumptuous visual index to the evolution of modern science and as an introduction to \"the science of science\"--charting the trajectory from scientific concept to published results.

Transposable elements are diverse and abundantly present in eukaryotic genomes. To help with the challenge of their identification and annotation, these authors propose the first unified hierarchical classification system for transposable elements. The system and nomenclature are kept up to date in a related database — WikiPoson. Our knowledge of the structure and composition of genomes is rapidly progressing in pace with their sequencing. The emerging data show that a significant portion of eukaryotic genomes is composed of transposable elements (TEs). Given the abundance and diversity of TEs and the speed at which large quantities of sequence data are emerging, identification and annotation of TEs presents a significant challenge. Here we propose the first unified hierarchical classification system, designed on the basis of the transposition mechanism, sequence similarities and structural relationships, that can be easily applied by non-experts. The system and nomenclature is kept up to date at the WikiPoson web site.

Vertebrate photoreceptors have been studied for well over a century, but a fixed nomenclature for referring to orthologous cell types across diverse species has been lacking. Instead, photoreceptors have been variably—and often confusingly—named according to morphology, presence/absence of ‘rhodopsin’, spectral sensitivity, chromophore usage, and/or the gene family of the opsin(s) they express. Here, we propose a unified nomenclature for vertebrate rods and cones that aligns with the naming systems of other retinal cell classes and that is based on the photoreceptor type’s putative evolutionary history. This classification is informed by the functional, anatomical, developmental, and molecular identities of the neuron as a whole, including the expression of deeply conserved transcription factors required for development. The proposed names will be applicable across all vertebrates and indicative of the widest possible range of properties, including their postsynaptic wiring, and hence will allude to their common and species-specific roles in vision. Furthermore, the naming system is open-ended to accommodate the future discovery of as-yet unknown photoreceptor types.

Existing missing value imputation methods focused on imputing the data regarding actual values towards a completion of datasets as an input for machine learning tasks. This work proposes an imputation of missing values towards improvement of accuracy performance for classification. The proposed method was based on bee algorithm and the use of k-nearest neighborhood with linear regression to guide on finding the appropriate solution in prevention of randomness. Among the processes, GINI importance score was utilized in selecting values for imputation. The imputed values thus reflected on improving a discriminative power in classification tasks instead of replicating the actual values from the original dataset. In this study, we evaluated the proposed method against frequently used imputation methods such as k-nearest neighborhood, principal components analysis, nonlinear principal, and component analysis to compare root mean square error results and accuracy of using imputed datasets in a classification task. The experimental results indicated that our proposed method obtained the best accuracy results from all datasets comparing to other methods. In comparison to original dataset, the classification model from imputed datasets yielded 15-25% higher accuracy in class prediction. From analysis, the results showed that feature ranking used in a classification process was affected and lead to noticeably change in informativeness as the imputed data from the proposed method played the role to boost a discriminating power.

Through analyses of disciplinary knowledge, school curricula, and classroom learning, the book uncovers flaws in the unifying dimensions of the science standards. It proposes respect for disciplinary diversity and attention to questions of value in choosing what science to teach.

In Natural Kinds and Genesis: The Classification of Material Entities, Stewart Umphrey raises and answers two questions: What is it to be a natural kind? And are there in fact any natural kinds? First, using the everyday understanding of things, he argues that natural kinds may be understood as classes or as types, and that the members or tokens of such kinds are individual continuants. A continuant is essentially a being-in-becoming, a material thing which changes and yet remains the same, in virtue of its nature or essence, as long as it exists. In the primary sense of the term, then, a natural kind is a class whose members closely resemble one another substantially, in virtue of their essences. Alternatively, it is a type whose tokens exemplify it in virtue of their essences. To answer the second question, one must make use of relevant scientific theories as well. Umphrey agrees with scientific essentialists that there are natural kinds, but he argues that most of the chemical, physical, and biological kinds posited in current theories are not natural kinds in the primary sense of the term. The natural-kinds realism he affirms is thus quite restricted: it requires the existence of enduring things which closely resemble one another in virtue of their essences, and such things exist, apparently, only if they have come into being, or emerged, in the course of symmetry-breaking events. Natural Kinds and Genesis will be of interest to philosophers of science and to those interested in the metaphysics of natural kinds and their members.