Results 11 to 20 of about 115,791 (159)
Choral: Object-oriented Choreographic Programming
ACM Transactions on Programming Languages and Systems, 2023 Choreographies are coordination plans for concurrent and distributed systems, which define the roles of the involved participants and how they are supposed to work together.
Saverio Giallorenzo +2 more
semanticscholar +1 more source
Free Objects in Constraint-logic Object-oriented Programming
ACM-SIGPLAN International Conference on Principles and Practice of Declarative Programming, 2021 Constraint-logic object-oriented programming facilitates the integrated development of business software that occasionally solves constraint-logic problems or makes other use of structured search.
Jan C. Dageförde +2 more
semanticscholar +1 more source
Schizophrenia-mimicking layers outperform conventional neural network layers [PDF]
Frontiers Neurorobot 16, 851471 (2022), 2020 We have reported nanometer-scale three-dimensional studies of brain networks of schizophrenia cases and found that their neurites are thin and tortuous compared to healthy controls. This suggests that connections between distal neurons are suppressed in microcircuits of schizophrenia cases.
arxiv +1 more source
Diagnosis of Schizophrenia: A comprehensive evaluation [PDF]
IEEE Journal of Biomedical Health and Informatics, 2022, 2022 Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the diagnosis of Schizophrenia have not been evaluated. Here, we sought to access the performance of classification models along with different feature selection approaches on the
arxiv +1 more source
A Comparative Study of Programming Languages in Rosetta Code [PDF]
Proceedings of the 37th International Conference on Software
Engineering (ICSE'15), pages 778-788. IEEE, 2015, 2014 Sometimes debates on programming languages are more religious than scientific. Questions about which language is more succinct or efficient, or makes developers more productive are discussed with fervor, and their answers are too often based on anecdotes and unsubstantiated beliefs.
arxiv +1 more source
SIGP, 2018 The object-oriented approach to programming and design is characterized by its focus on the data structures of a program rather than the procedures. Often, invoking a procedure with a data object as its principal argument is thought of as ‘sending a ...
R. P. T. Dyke, John C. Kunz
semanticscholar +1 more source
Schizophrenia research under the framework of predictive coding: body, language, and others [PDF]
arXiv, 2023 Although there have been so many studies on schizophrenia under the framework of predictive coding, works focusing on treatment are very preliminary. A model-oriented, operationalist, and comprehensive understanding of schizophrenia would promote the therapy turn of further research. We summarize predictive coding models of embodiment, co-occurrence of
arxiv
A Quantitative and Qualitative Analysis of Schizophrenia Language [PDF]
arXiv, 2022 Schizophrenia is one of the most disabling mental health conditions to live with. Approximately one percent of the population has schizophrenia which makes it fairly common, and it affects many people and their families. Patients with schizophrenia suffer different symptoms: formal thought disorder (FTD), delusions, and emotional flatness.
arxiv
Aberrant High-Order Dependencies in Schizophrenia Resting-State Functional MRI Networks [PDF]
arXiv, 2023 The human brain has a complex, intricate functional architecture. While many studies primarily emphasize pairwise interactions, delving into high-order associations is crucial for a comprehensive understanding of how functional brain networks intricately interact beyond simple pairwise connections.
arxiv
Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning [PDF]
arXiv, 2022 Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve classification and diagnostic accuracy.
arxiv