A Quantitative Study of Java Software Buildability

Researchers, students and practitioners often encounter a situation when the build process of a third-party software system fails. In this paper, we aim to confirm this observation present mainly as anecdotal evidence so far. Using a virtual environment simulating a programmer's one, we try to fully automatically build target archives from the source code of over 7,200 open source Java projects. We found that more than 38% of builds ended in failure. Build log analysis reveals the largest portion of errors are dependency-related. We also conduct an association study of factors affecting build success

Communicative Competence and Self-Determination

Self-determination describes people acting as the primary causal agents in their lives through their own volition (Wehmeyer, 1998; Wehmeyer, 2005). Volition means making choices with intention and consciousness. Self-determination consists of four essential characteristics related to volition: Autonomy, self-regulation, psychological empowerment, and self realization (Wehmeyer et al., 2007). Acting autonomously, in a manner to achieve specified goals, problem solving to meet those goals and being aware of the possible outcomes describe some of the activities related to volition and the characteristic of self determination (Light & Gullens, 2000; Wehmeyer et al., 2007). Self-determined people influence their own lives. People with physical and cognitive impairments need supports to act volitionally, and to act as causal agents in their own lives, where causal agent refers to the individual behaving in a specific ways to influence events in their environment, activities and other people (Light, 1997; Light & Gullens, 2000)

Cognitive Poetics

In her introduction to the Oxford Handbook of Cognitive Literary Studies, Lisa Zunshine, scholar in the field and its best historian, describes cognitive literary critics as working “not toward consilience with science but toward a richer engagement with a variety of theoretical paradigms in literary and cultural studies" (2015). Scholars from most traditional humanities fields: philosophers (both analytical and phenomenological and philosophers of mind and of language), cultural, literary, and art historians, literary critics and linguists, for example, and social scientists as well (anthropologists, archaeologists, and ethologists), have found the various fields of brain science to offer new perspectives on some persistent questions. Studies by developmental psychologists have made major contributions. And as brain imaging has become more powerful and widely used, the hypotheses of neurophysiologists and neurobiologists have come into the picture. Evolutionary biology has made perhaps the largest contribution by providing the overriding argument in the field—namely that human potential, individual behavior, and group dynamics can be studied as emerging phenomena. This begins with bodies that have over the millennia grown into worlds in which competition and cooperation have built and continue to build cultural life

Archetypes Embodied, Then and Now

With the support of recent theorizing in evolutionary biology and anthropology, this essay refurbishes the term archetype for reuse, recognizing that it signals a painful cognitive failure. Examples are taken from The Terminator movies and pictures of the annunciation to Mary

Development of a parents' short form survey of their children's oral health.

BackgroundParents play an important role in their children's oral health behaviors, provide oral health access, initiate prevention, and coping strategies for health care.AimThis paper develops a short form (SF) to assist parents to evaluate their children's oral health status using Patient-Reported Outcome Measurement Information System (PROMIS) framework that conceptualized health as physical, mental, and social components.DesignSurveys of parents were conducted at dental clinics in Los Angeles County, together with an on-site clinical examination by dentists to determine clinical outcomes, Children's Oral Health Status Index (COHSI), and referral recommendations (RRs). Graded response models in item response theory were used to create the SF. A toolkit including SF, demographic information, and algorithms was developed to predict the COHSI and RRs.ResultsThe final SF questionnaire consists of eight items. The square root mean squared error for the prediction of COHSI is 7.6. The sensitivity and specificity of using SF to predict immediate treatment needs (binary RRs) are 85% and 31%.ConclusionsThe parent SF is an additional component of the oral health evaluation toolkit that can be used for oral health screening, surveillance program, policy planning, and research of school-aged children and adolescents from guardian perspectives

Sent Away from the Garden? The Pastoral Logic of Tasso, Marvell, and Haley

The pastoral genre provides cognitive literary historians a clear example of how genre cooperates with and enacts the most basic cognitive tasks of the imagination, namely the ability to toggle between concrete sense data and abstractions. This essay discusses the predictive processing hypothesis and suggest that it offers a usefully revisionary way of thinking about genres and archetypes. Examples from Tasso's Aminta (c.1573), Marvell's "The Garden," (c.1650), and Jennifer Haley's The Nether (2013) exemplify both the artists' and the audiences' cognitive flexibility, and their attempts to solve representationally hungry problems by re-representing them

Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

ObjectivesEvaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health. Parent and Child toolkits consist of short-form survey items (12 for children and 8 for parents) with and without children's demographic information (7 questions) to predict the child's oral health status and need for treatment.MethodsData were collected from 12 dental practices in Los Angeles County from 2015 to 2016. We predicted COHSI score and RFTN using random Bootstrap samples with manually introduced Gaussian noise together with machine learning algorithms, such as Extreme Gradient Boosting and Naive Bayesian algorithms (using R). The toolkits predicted the probability of treatment needs and the COHSI score with percentile (ranking). The performance of the toolkits was evaluated internally and externally by residual mean square error (RMSE), correlation, sensitivity and specificity.ResultsThe toolkits were developed based on survey responses from 545 families with children aged 2 to 17 y. The sensitivity and specificity for predicting RFTN were 93% and 49% respectively with the external data. The correlation(s) between predicted and clinically determined COHSI was 0.88 (and 0.91 for its percentile). The RMSEs of the COHSI toolkit were 4.2 for COHSI (and 1.3 for its percentile).ConclusionsSurvey responses from children and their parents/guardians are predictive for clinical outcomes. The toolkits can be used by oral health programs at baseline among school populations. The toolkits can also be used to quantify differences between pre- and post-dental care program implementation. The toolkits' predicted oral health scores can be used to stratify samples in oral health research.Knowledge transfer statementThis study creates the oral health toolkits that combine self- and proxy- reported short forms with children's demographic characteristics to predict children's oral health and treatment needs using Machine Learning algorithms. The toolkits can be used by oral health programs at baseline among school populations to quantify differences between pre and post dental care program implementation. The toolkits can also be used to stratify samples according to the treatment needs and oral health status