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Intelligence in humans

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https://www.readbyqxmd.com/read/29160691/bioinspired-tribotronic-resistive-switching-memory-for-self-powered-memorizing-mechanical-stimuli
#1
Yihui Sun, Xin Zheng, Xiaoqin Yan, Qingliang Liao, Shuo Liu, Guangjie Zhang, Yong Li, Yue Zhang
Haptic memory, from the interaction of skin and brain, can not only perceive external stimuli but also memorize it after removing the external stimuli. For the mimicry of human sensory memory, a self-powered artificial tactile memorizing system were developed by coupling bionic electronic skin and nonvolatile RRAM. The tribotronic nanogenerator is utilized as electronic skin to transform the touching signal into electric pulse, which will be programmed into the artificial brain: RRAM. Owing to the advanced structural designs and accurately parameter matching, including the output voltages and the resistances in different resistive states, the artificial brain can be operated at self-powered mode to memorize the touch stimuli with the responsivity up to 2000%...
November 21, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29156647/effects-of-nutritional-interventions-during-pregnancy-on-infant-and-child-cognitive-outcomes-a-systematic-review-and-meta-analysis
#2
REVIEW
Rachael M Taylor, Shanna M Fealy, Alessandra Bisquera, Roger Smith, Clare E Collins, Tiffany-Jane Evans, Alexis J Hure
BACKGROUND: Epidemiological studies have demonstrated that folate, iodine and iron intake during pregnancy impacts on foetal brain development and cognitive function. However, in human studies, the relationship with other dietary nutrients is less clear. OBJECTIVE: This systematic review aims to critically appraise the current literature and meta-analyses results from nutritional interventions during pregnancy that aimed to optimise infant and child cognitive outcomes...
November 20, 2017: Nutrients
https://www.readbyqxmd.com/read/29155639/when-machines-think-radiology-s-next-frontier
#3
Keith J Dreyer, J Raymond Geis
Artificial intelligence (AI), machine learning, and deep learning are terms now seen frequently, all of which refer to computer algorithms that change as they are exposed to more data. Many of these algorithms are surprisingly good at recognizing objects in images. The combination of large amounts of machine-consumable digital data, increased and cheaper computing power, and increasingly sophisticated statistical models combine to enable machines to find patterns in data in ways that are not only cost-effective but also potentially beyond humans' abilities...
December 2017: Radiology
https://www.readbyqxmd.com/read/29154142/child-trafficking-and-the-european-migration-crisis-the-role-of-forensic-practitioners
#4
Zuzana Obertová, Cristina Cattaneo
Trafficking in children is one of the worst forms of human rights violation and is categorised as a serious crime. Children at high risk of becoming victims of trafficking are runaways, children with a history of abuse, and migrant children. Internationally, cases of child trafficking are increasing the most in Europe, which is likely the result of the current migration crisis. In crises, preventing and combating human trafficking needs to be prioritized, considering that the aims of humanitarian action include saving lives, easing suffering and preserving human dignity...
November 4, 2017: Forensic Science International
https://www.readbyqxmd.com/read/29150090/graph-based-representation-of-behavior-in-detection-and-prediction-of-daily-living-activities
#5
Piotr Augustyniak, Grażyna Ślusarczyk
Various surveillance systems capture signs of human activities of daily living (ADLs) and store multimodal information as time line behavioral records. In this paper, we present a novel approach to the analysis of a behavioral record used in a surveillance system designed for use in elderly smart homes. The description of a subject's activity is first decomposed into elementary poses - easily detectable by dedicated intelligent sensors - and represented by the share coefficients. Then, the activity is represented in the form of an attributed graph, where nodes correspond to elementary poses...
November 10, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29147562/cognitive-computing-and-escience-in-health-and-life-science-research-artificial-intelligence-and-obesity-intervention-programs
#6
REVIEW
Thomas Marshall, Tiffiany Champagne-Langabeer, Darla Castelli, Deanna Hoelscher
Objective: To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies. Methods: The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience...
December 2017: Health Information Science and Systems
https://www.readbyqxmd.com/read/29144420/visual-positioning-indoors-human-eyes-vs-smartphone-cameras
#7
Dewen Wu, Ruizhi Chen, Liang Chen
Artificial Intelligence (AI) technologies and their related applications are now developing at a rapid pace. Indoor positioning will be one of the core technologies that enable AI applications because people spend 80% of their time indoors. Humans can locate themselves related to a visually well-defined object, e.g., a door, based on their visual observations. Can a smartphone camera do a similar job when it points to an object? In this paper, a visual positioning solution was developed based on a single image captured from a smartphone camera pointing to a well-defined object...
November 16, 2017: Sensors
https://www.readbyqxmd.com/read/29143409/chronnectome-fingerprinting-identifying-individuals-and-predicting-higher-cognitive-functions-using-dynamic-brain-connectivity-patterns
#8
Jin Liu, Xuhong Liao, Mingrui Xia, Yong He
The human brain is a large, interacting dynamic network, and its architecture of coupling among brain regions varies across time (termed the "chronnectome"). However, very little is known about whether and how the dynamic properties of the chronnectome can characterize individual uniqueness, such as identifying individuals as a "fingerprint" of the brain. Here, we employed multiband resting-state functional magnetic resonance imaging data from the Human Connectome Project (N = 105) and a sliding time-window dynamic network analysis approach to systematically examine individual time-varying properties of the chronnectome...
November 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29140522/ecodrug-a-database-connecting-drugs-and-conservation-of-their-targets-across-species
#9
Bas Verbruggen, Lina Gunnarsson, Erik Kristiansson, Tobias Österlund, Stewart F Owen, Jason R Snape, Charles R Tyler
Pharmaceuticals are designed to interact with specific molecular targets in humans and these targets generally have orthologs in other species. This provides opportunities for the drug discovery community to use alternative model species for drug development. It also means, however, there is potential for mode of action related effects in non-target wildlife species as many pharmaceuticals reach the environment through patient use and manufacturing wastes. Acquiring insight in drug target ortholog predictions across species and taxonomic groups has proven difficult because of the lack of an optimal strategy and because necessary information is spread across multiple and diverse sources and platforms...
November 11, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/29140281/non-contact-sensor-for-long-term-continuous-vital-signs-monitoring-a-review-on-intelligent-phased-array-doppler-sensor-design
#10
REVIEW
Travis Hall, Donald Y C Lie, Tam Q Nguyen, Jill C Mayeda, Paul E Lie, Jerry Lopez, Ron E Banister
It has been the dream of many scientists and engineers to realize a non-contact remote sensing system that can perform continuous, accurate and long-term monitoring of human vital signs as we have seen in many Sci-Fi movies. Having an intelligible sensor system that can measure and record key vital signs (such as heart rates and respiration rates) remotely and continuously without touching the patients, for example, can be an invaluable tool for physicians who need to make rapid life-and-death decisions. Such a sensor system can also effectively help physicians and patients making better informed decisions when patients' long-term vital signs data is available...
November 15, 2017: Sensors
https://www.readbyqxmd.com/read/29137456/highly-stretchable-conductors-based-on-expanded-graphite-macro-confined-in-tubular-rubber
#11
Wei Luo, Tongfei Wu, Biqiong Chen, Mei Liang, Huawei Zou
Highly stretchable and durable conductors are significant to the development of wearable devices, robots, human-machine interfaces and other artificial intelligence products. Although many respectable methods have been reported, it is still a challenge to fabricate stretchable conductors with a large elastic limit, high conductivity and excellent reliability in rapid, effective and economic ways. Herein, a facile method is offered to fabricate high-performance stretchable tubular conductors (TCs) based on a macro-confined structure of expanded graphite (EG) in rubber tubing by simply physical packing...
November 15, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29136661/domain-learning-naming-game-for-color-categorization
#12
Doujie Li, Zhongyan Fan, Wallace K S Tang
Naming game simulates the evolution of vocabulary in a population of agents. Through pairwise interactions in the games, agents acquire a set of vocabulary in their memory for object naming. The existing model confines to a one-to-one mapping between a name and an object. Focus is usually put onto name consensus in the population rather than knowledge learning in agents, and hence simple learning model is usually adopted. However, the cognition system of human being is much more complex and knowledge is usually presented in a complicated form...
2017: PloS One
https://www.readbyqxmd.com/read/29135806/fluid-intelligence-relates-to-the-resting-state-amplitude-of-low-frequency-fluctuation-and-functional-connectivity-a-multivariate-pattern-analysis
#13
Changjun Li, Guocheng Yang, Meiling Li, Bo Li
The goal of this study was to investigate the relationship between fluid intelligence (gF) and the pattern of the functional characteristics in the resting state in adults using multivariate pattern analysis. Resting-state functional images from 100 participants in the Human Connectome Project data set were analyzed. The amplitude of low-frequency fluctuation (ALFF) was first calculated, and a support vector regression approach was used to identify the association with gF. To discover whether the connectivity of the gF-associated areas was also related to gF, we further checked the seed-based functional connectivity using the seeds from the ALFF...
November 13, 2017: Neuroreport
https://www.readbyqxmd.com/read/29134320/artificial-intelligence-in-neurodegenerative-disease-research-use-of-ibm-watson-to-identify-additional-rna-binding-proteins-altered-in-amyotrophic-lateral-sclerosis
#14
Nadine Bakkar, Tina Kovalik, Ileana Lorenzini, Scott Spangler, Alix Lacoste, Kyle Sponaugle, Philip Ferrante, Elenee Argentinis, Rita Sattler, Robert Bowser
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with no effective treatments. Numerous RNA-binding proteins (RBPs) have been shown to be altered in ALS, with mutations in 11 RBPs causing familial forms of the disease, and 6 more RBPs showing abnormal expression/distribution in ALS albeit without any known mutations. RBP dysregulation is widely accepted as a contributing factor in ALS pathobiology. There are at least 1542 RBPs in the human genome; therefore, other unidentified RBPs may also be linked to the pathogenesis of ALS...
November 13, 2017: Acta Neuropathologica
https://www.readbyqxmd.com/read/29129011/embodiment-and-estrangement-results-from-first-in-human-intelligent-bci-trial
#15
F Gilbert, M Cook, T O'Brien, J Illes
While new generations of implantable brain computer interface (BCI) devices are being developed, evidence in the literature about their impact on the patient experience is lagging. In this article, we address this knowledge gap by analysing data from the first-in-human clinical trial to study patients with implanted BCI advisory devices. We explored perceptions of self-change across six patients who volunteered to be implanted with artificially intelligent BCI devices. We used qualitative methodological tools grounded in phenomenology to conduct in-depth, semi-structured interviews...
November 11, 2017: Science and Engineering Ethics
https://www.readbyqxmd.com/read/29127954/human-dimension-of-health-service-management
#16
Jo M Martins, Godfrey Isouard, Brenda Freshman
This article identifies three relevant and valid constructs that are associated with personal and organisational performance that can be used in the training of current and future health service managers: personal engagement at work, emotional intelligence and conflict resolution. A review was undertaken of the literature in human resources management to identify key concepts that bind and strengthen the management of organisations. A curriculum content analysis was then performed of postgraduate health management courses in Australia to assess the extent of inclusion in these areas...
November 13, 2017: Australian Health Review: a Publication of the Australian Hospital Association
https://www.readbyqxmd.com/read/29127485/oct-based-deep-learning-algorithm-for-the-evaluation-of-treatment-indication-with-anti-vascular-endothelial-growth-factor-medications
#17
Philipp Prahs, Viola Radeck, Christian Mayer, Yordan Cvetkov, Nadezhda Cvetkova, Horst Helbig, David Märker
PURPOSE: Intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF) medications have become the standard of care for their respective indications. Optical coherence tomography (OCT) scans of the central retina provide detailed anatomical data and are widely used by clinicians in the decision-making process of anti-VEGF indication. In recent years, significant progress has been made in artificial intelligence and computer vision research. We trained a deep convolutional artificial neural network to predict treatment indication based on central retinal OCT scans without human intervention...
November 10, 2017: Graefe's Archive for Clinical and Experimental Ophthalmology
https://www.readbyqxmd.com/read/29126368/associations-between-cooperation-reactive-aggression-and-social-impairments-among-boys-with-autism-spectrum-disorder
#18
Miia Kaartinen, Kaija Puura, Päivi Pispa, Mika Helminen, Raili Salmelin, Erja Pelkonen, Petri Juujärvi, Esther B Kessler, David H Skuse
Cooperation is a fundamental human ability that seems to be inversely related to aggressive behaviour in typical development. However, there is no knowledge whether similar association holds for children with autism spectrum disorder. A total of 27 boys with autism spectrum disorder and their gender, age and total score intelligence matched controls were studied in order to determine associations between cooperation, reactive aggression and autism spectrum disorder-related social impairments. The participants performed a modified version of the Prisoner's Dilemma task and the Pulkkinen Aggression Machine which measure dimensions of trust, trustworthiness and self-sacrifice in predisposition to cooperate, and inhibition of reactive aggression in the absence and presence of situational cues, respectively...
November 1, 2017: Autism: the International Journal of Research and Practice
https://www.readbyqxmd.com/read/29124959/speech-therapy-in-adolescents-with-down-syndrome-in-pursuit-of-communication-as-a-fundamental-human-right
#19
Susan Rvachew, Marla Folden
PURPOSE: The achievement of speech intelligibility by persons with Down syndrome facilitates their participation in society. Denial of speech therapy services by virtue of low cognitive skills is a violation of their fundamental human rights as proclaimed in the Universal Declaration of Human Rights in general and in Article 19 in particular. Here, we describe the differential response of an adolescent with Down syndrome to three speech therapy interventions and demonstrate the use of a single subject randomisation design to identify effective treatments for children with complex communication disorders...
November 10, 2017: International Journal of Speech-language Pathology
https://www.readbyqxmd.com/read/29123555/meritocracy-ask-yourself
#20
EDITORIAL
Massimiliano Polastri, Maria Cristina Truisi
Meritocracy refers to a governmental or other administrative system wherein appointments and responsibilities are assigned to individuals based on their merits, which are determined through objective evaluations or examinations. Merit can be earned by either intellectual or manual labour, as each person has his or her own talents. Nevertheless, there is no absolute definition of merit because both intelligence and skill are relative. In our current society, individuals can, theoretically, reach any goal in a meritocratic system...
November 2017: J Intensive Care Soc
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