October 16-18, 2017 Rome, Italy Key Topics : Managing Dementia, Diagnosis and Symptoms, Imaging Techniques, Pathophysiology and Disease Mechanisms, Geriatrics and Cognitive Disorder, Amyloid Protein in Dementia, Care Practice and Awareness, Therapeutic Targets, Animal Models and Translational Medicine, Vascular Dementia, Alzheimers disease and Dementia, Traumatic brain injury, Dementia with Lewy Bodies, Alzheimers clinical trials and studies,
March 27-29, 2017 Madrid, Spain Key Topics : Migrine and Neuropathic pain, Neurodegenrative disorders, Neuropediatrics and Neurorehabilitation, Neuroinfections and Neuroimmunology, Neurological Disorders, Neuromuscular Disorders, Neuroimaging and Radiology, Neurosurgery and Neural Circuits, Neuropharmacology, Neurogenetics, Central nervous system, Clinical Neurology and Neuropsychiatry, Neurotherapeutics, Diagnostics and Case Studies, Neurological Nursing, Neurology,
This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.
This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction.
This book draws on the author’s experience in conducting pragmatic test accuracy studies on screening instruments for dementia/mild cognitive impairment. To facilitate comprehension and assimilation, all data is presented in an easily accessible, succinct and user-friendly way by means of a structured tabular format that allows tests to be easily compared. The pragmatic design of studies ensures high external validity and generalizability for the test results. The book includes a wealth of data on previously presented studies, as well as hitherto unreported test measures (“Number needed” metrics). It presents recently described and new diagnostic metrics (Likelihood to be diagnosed or misdiagnosed; Summary utility index; Number needed for screening utility); data from new studies on screeners (Attended with sign; Free-Cog; Two question depression screener; Jenkins Sleep Questionnaire; Triple test); and previously unpublished data (combination of SMC Likert and MACE; IADL Scale and MMSE). Given its scope, the book will be of interest to all professionals, beginners and seasoned experts alike, whose work involves the assessment of individuals with cognitive (memory) complaints.
Designing robots with socio-emotional skills is a challenging research topic still in its infancy. These skills are important for robots to be able to provide not only physical, but also social support to human users, and to engage in and sustain long-term interactions with them in a variety of application domains that require human-robot interaction, including healthcare, education, entertainment, manufacturing, and many others. The availability of commercial robotic platforms and developments in collaborative academic research provide us a positive outlook, however, the capabilities of current social robots are quite limited. The main challenge is understanding the underlying mechanisms of the humans in responding to and interacting with real life situations, and how to model these mechanisms for the embodiment of naturalistic, human-inspired behaviors via robots. To address this challenge successfully requires an understanding of the essential components of social interaction including nonverbal behavioral cues such as interpersonal distance, body position, body posture, arm and hand gestures, head and facial gestures, gaze, silences, vocal outbursts and their dynamics. To create truly intelligent social robots, these nonverbal cues need to be interpreted to form an understanding of the higher level phenomena including first-impression formation, social roles, interpersonal relationships, focus of attention, synchrony, affective states, emotions, and personality, and in turn defining optimal protocols and behaviors to express these phenomena through robotic platforms in an appropriate and timely manner. Achieving this goal requires the fields of psychology, nonverbal behavior, vision, social signal processing, affective computing, and HRI to constantly interact with one another. This Research Topic aims to foster such interactions and collaborations by bringing together the latest works and developments from across a range of research groups and disciplines working in these fields. The Research Topic is a collection of 14 articles that span across five research themes. Three articles co-authored by Terada and Takeuchi, Jung et al., and Kennedy et al. explore the design of “social and affective cues” for robots and investigate their effects on human-robot interaction. Mirnig et al., Bremner et al., and Strait et al. investigate people’s “perceptions of robots” in different settings and scenarios, such as when robots make errors. Articles by Lee et al., Leite et al., and Heath et al. investigate the factors that shape “dialogic interaction with robots,” such as interaction context. The articles under the theme “social and affective therapy” by Rouaix et al., Rudovic et al., and Matsuda et al. report on how individuals from clinical populations, such as those with dementia, autism, and other pervasive developmental disorders (PDDs), interact with robots in therapeutic scenarios. Finally, Miklósi et al. and Durantin et al. offer “new perspectives in human-robot interaction” with a focus on reframing social interaction and human-robot relationships. We are excited about sharing this rich collection with the scientific community and about its contributions to the human-robot interaction literature.
