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https://www.readbyqxmd.com/read/29774921/a-flexible-pressure-sensor-based-on-rgo-polyaniline-wrapped-sponge-with-tunable-sensitivity-for-human-motion-detection
#1
Gang Ge, Yichen Cai, Qiuchun Dong, Yizhou Zhang, Jinjun Shao, Wei Huang, Xiaochen Dong
High-performance stretchable and wearable electronic skins (E-skins) with high sensitivity and a large sensing range are urgently required with the rapid development of the Internet of things and artificial intelligence. Herein, a reduced graphene oxide (rGO)/polyaniline wrapped sponge is prepared via rGO coating and the in situ synthesis of polyaniline nanowires (PANI NWs) on the backbones of sponge for the fabrication of pressure sensors. From the as-prepared flexible sensor, tunable sensitivity (0.042 to 0...
May 18, 2018: Nanoscale
https://www.readbyqxmd.com/read/29771674/multisource-transfer-double-dqn-based-on-actor-learning
#2
Jie Pan, Xuesong Wang, Yuhu Cheng, Qiang Yu
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential role in the fields of artificial intelligence and machine learning. Since an RL agent needs to constantly interact with its surroundings, the deep Q network (DQN) is inevitably faced with the need to learn numerous network parameters, which results in low learning efficiency...
June 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29771494/screen-printed-washable-electronic-textiles-as-self-powered-touch-gesture-tribo-sensor-for-intelligent-human-machine-interaction
#3
Ran Cao, Xianjie Pu, Xinyu Du, Wei Yang, Jiaona Wang, Hengyu Guo, Shuyu Zhao, Zuqing Yuan, Chi Zhang, Congju Li, Zhong Lin Wang
Electronic textile (E-textile) with designable electric circuit and multi-functionalities holds great application prospect for future wearable electronics. However, most of the E-textiles still have critical challenges, including air permeability, satisfactory washability and massive fabrication. In this work, we fabricate a washable E-textile that addresses all of the concerns and show its application as a self-powered triboelectric gesture textile for intelligent human-machine interface. Utilizing conductive carbon nanotubes (CNTs) and screen-printing technology, this kind of E-textile embraces high conductivity (0...
May 17, 2018: ACS Nano
https://www.readbyqxmd.com/read/29769409/individuals-fail-to-reap-the-collective-benefits-of-diversity-because-of-over-reliance-on-personal-information
#4
Alan Novaes Tump, Max Wolf, Jens Krause, Ralf H J M Kurvers
Collective intelligence refers to the ability of groups to outperform individuals in solving cognitive tasks. Although numerous studies have demonstrated this effect, the mechanisms underlying collective intelligence remain poorly understood. Here, we investigate diversity in cue beliefs as a mechanism potentially promoting collective intelligence. In our experimental study, human groups observed a sequence of cartoon characters, and classified each character as a cooperator or defector based on informative and uninformative cues...
May 2018: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/29769044/visualizing-histopathologic-deep-learning-classification-and-anomaly-detection-using-nonlinear-feature-space-dimensionality-reduction
#5
Kevin Faust, Quin Xie, Dominick Han, Kartikay Goyle, Zoya Volynskaya, Ugljesa Djuric, Phedias Diamandis
BACKGROUND: There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) on focused classification tasks, most studies rely on probability distribution scores with empirically defined cutoff values based on post-hoc analysis. More generalizable tools that allow humans to visualize histology-based deep learning inferences and decision making are scarce...
May 16, 2018: BMC Bioinformatics
https://www.readbyqxmd.com/read/29765403/effect-of-maternal-administration-of-edible-bird-s-nest-on-the-learning-and-memory-abilities-of-suckling-offspring-in-mice
#6
Yong Xie, Hongliang Zeng, Zhiji Huang, Hui Xu, Qunyan Fan, Yi Zhang, Baodong Zheng
Although human brains continue developing throughout the underage developmental stages, the infancy period is considered the most important one for the whole life. It has been reported that sialic acid from edible bird's nest (EBN) can facilitate the development of brain and intelligence. In this study, by oral administration of EBN to female mice during the pregnancy or lactation period, the effects of EBN on the levels of sialic acid in mouse milk were determined using high-performance liquid chromatography (HPLC)...
2018: Neural Plasticity
https://www.readbyqxmd.com/read/29757747/the-human-touch-practical-and-ethical-implications-of-putting-ai-and-robotics-to-work-for-patients
#7
Jim Banks
We live in a time when science fiction can quickly become science fact. Within a generation, the Internet has matured from a technological marvel to a utility, and mobile telephones have redefined how we communicate. Health care, as an industry, is quick to embrace technology, so it is no surprise that the application of programmable robotic systems that can carry out actions automatically and artificial intelligence (AI), e.g., machines that learn, solve problems, and respond to their environment, is being keenly explored...
May 2018: IEEE Pulse
https://www.readbyqxmd.com/read/29753263/the-hirisplex-s-system-for-eye-hair-and-skin-colour-prediction-from-dna-introduction-and-forensic-developmental-validation
#8
Lakshmi Chaitanya, Krystal Breslin, Sofia Zuñiga, Laura Wirken, Ewelina Pośpiech, Magdalena Kukla-Bartoszek, Titia Sijen, Peter de Knijff, Fan Liu, Wojciech Branicki, Manfred Kayser, Susan Walsh
Forensic DNA Phenotyping (FDP), i.e. the prediction of human externally visible traits from DNA, has become a fast growing subfield within forensic genetics due to the intelligence information it can provide from DNA traces. FDP outcomes can help focus police investigations in search of unknown perpetrators, who are generally unidentifiable with standard DNA profiling. Therefore, we previously developed and forensically validated the IrisPlex DNA test system for eye colour prediction and the HIrisPlex system for combined eye and hair colour prediction from DNA traces...
April 12, 2018: Forensic Science International. Genetics
https://www.readbyqxmd.com/read/29750367/efficacy-of-maternal-choline-supplementation-during-pregnancy-in-mitigating-adverse-effects-of-prenatal-alcohol-exposure-on-growth-and-cognitive-function-a-randomized-double-blind-placebo-controlled-clinical-trial
#9
Sandra W Jacobson, R Colin Carter, Christopher D Molteno, Mark E Stanton, Jane Herbert, Nadine M Lindinger, Catherine E Lewis, Neil C Dodge, H Eugene Hoyme, Steven H Zeisel, Ernesta M Meintjes, Christopher P Duggan, Joseph L Jacobson
BACKGROUND: We recently demonstrated the acceptability and feasibility of a randomized, double-blind choline supplementation intervention for heavy drinking women during pregnancy. In this paper, we report our results relating to the efficacy of this intervention in mitigating adverse effects of prenatal alcohol exposure on infant growth and cognitive function. METHODS: 69 Cape Coloured (mixed ancestry) heavy drinkers in Cape Town, South Africa, recruited in mid-pregnancy, were randomly assigned to receive a daily oral dose of either 2 g of choline or placebo from time of enrollment until delivery...
May 11, 2018: Alcoholism, Clinical and Experimental Research
https://www.readbyqxmd.com/read/29750165/how-artificial-intelligence-can-improve-our-understanding-of-the-genes-associated-with-endometriosis-natural-language-processing-of-the-pubmed-database
#10
REVIEW
J Bouaziz, R Mashiach, S Cohen, A Kedem, A Baron, M Zajicek, I Feldman, D Seidman, D Soriano
Endometriosis is a disease characterized by the development of endometrial tissue outside the uterus, but its cause remains largely unknown. Numerous genes have been studied and proposed to help explain its pathogenesis. However, the large number of these candidate genes has made functional validation through experimental methodologies nearly impossible. Computational methods could provide a useful alternative for prioritizing those most likely to be susceptibility genes. Using artificial intelligence applied to text mining, this study analyzed the genes involved in the pathogenesis, development, and progression of endometriosis...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29749590/imaging-health-record-and-artificial-intelligence-hype-or-hope
#11
REVIEW
Marco Mazzanti, Ervina Shirka, Hortensia Gjergo, Endri Hasimi
PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based on multi-modal data. The "Health Care Internet of Things", which uses sensors, apps, and remote monitoring could provide continuous clinical information in the cloud that enables clinicians to access the information they need to care for patients everywhere. Greater standardization of acquisition protocols will be needed to maximize the potential gains from automation and machine learning...
May 10, 2018: Current Cardiology Reports
https://www.readbyqxmd.com/read/29742572/development-of-human-face-literature-database-using-text-mining-approach-phase-i
#12
Paramjit Kaur, Kewal Krishan, Suresh K Sharma
The face is an important part of the human body by which an individual communicates in the society. Its importance can be highlighted by the fact that a person deprived of face cannot sustain in the living world. The amount of experiments being performed and the number of research papers being published under the domain of human face have surged in the past few decades. Several scientific disciplines, which are conducting research on human face include: Medical Science, Anthropology, Information Technology (Biometrics, Robotics, and Artificial Intelligence, etc...
May 8, 2018: Journal of Craniofacial Surgery
https://www.readbyqxmd.com/read/29742522/the-effects-of-emotional-intelligence-training-on-the-job-performance-of-australian-aged-care-workers
#13
Leila Karimi, Sandra G Leggat, Timothy Bartram, Jiri Rada
BACKGROUND: Emotional intelligence (EI) training is popular among human resource practitioners, but there is limited evidence of the impact of such training on health care workers. PURPOSE: In the current article, we examine the effects of EI training on quality of resident care and worker well-being and psychological empowerment in an Australian aged care facility. We use Bar-On's (1997) conceptualization of EI. METHODOLOGY/APPROACH: We used a quasiexperimental design in 2014-2015 with experimental (training) and control (nontraining) groups of 60 participants in each group in two geographically separate facilities...
May 9, 2018: Health Care Management Review
https://www.readbyqxmd.com/read/29740295/temporal-resolution-needed-for-auditory-communication-measurement-with-mosaic-speech
#14
Yoshitaka Nakajima, Mizuki Matsuda, Kazuo Ueda, Gerard B Remijn
Temporal resolution needed for Japanese speech communication was measured. A new experimental paradigm that can reflect the spectro-temporal resolution necessary for healthy listeners to perceive speech is introduced. As a first step, we report listeners' intelligibility scores of Japanese speech with a systematically degraded temporal resolution, so-called "mosaic speech": speech mosaicized in the coordinates of time and frequency. The results of two experiments show that mosaic speech cut into short static segments was almost perfectly intelligible with a temporal resolution of 40 ms or finer...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29737828/light-activated-ros-responsive-nanoplatform-co-delivering-apatinib-and-doxorubicin-for-enhanced-chemo-photodynamic-therapy-of-multidrug-resistant-tumors
#15
Xiao Wei, Lingqiao Liu, Xing Guo, Yi Wang, Jingya Zhao, Shaobing Zhou
Cancer chemotherapy faces the problem of the multidrug resistance (MDR) of tumor cells, which is a puzzling issue that leads to treatment failure. To address it, an innovative approach is proposed to construct a light-activated reactive oxygen species (ROS)-responsive nanoplatform based on a protoporphyrin (PpIX)-conjugated and dual chemotherapeutics-loaded polymer micelle. This system combines chemotherapy and photodynamic therapy (PDT) to defeat the MDR of tumors. Such an intelligent nanocarrier can prolong the blood circulation due to the negatively charged polysaccharide component of chondroitin sulfate (CS) and subsequently being selectively internalized by DOX-resistant human breast cancer MCF-7 cells (MCF-7/ADR)...
May 8, 2018: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29736073/a-study-of-neuropsychological-profile-of-human-immunodeficiency-virus-positive-children-and-adolescents-on-antiretroviral-therapy
#16
Vasantmeghna S Murthy, Ajita S Nayak, Minal K Joshi, Kaneenica Ninawe
Aims: The aim is to study the neuropsychological and functional profile of children and adolescents with human immunodeficiency virus (HIV) infection on antiretroviral therapy (ART) and the association between the neuropsychological status and medical illness variables, treatment variables, and functional status in the cases of the sample and compare with normal controls. Materials and Methods: Forty-two HIV-positive children and adolescents on ART were evaluated and compared with 40 matched controls not known to be HIV-positive...
January 2018: Indian Journal of Psychiatry
https://www.readbyqxmd.com/read/29734683/do-monetary-incentives-influence-users-behavior-in-participatory-sensing
#17
Ngo Manh Khoi, Sven Casteleyn, M Mehdi Moradi, Edzer Pebesma
Participatory sensing combines the powerful sensing capabilities of current mobile devices with the mobility and intelligence of human beings, and as such has to potential to collect various types of information at a high spatial and temporal resolution. Success, however, entirely relies on the willingness and motivation of the users to carry out sensing tasks, and thus it is essential to incentivize the users’ active participation. In this article, we first present an open, generic participatory sensing framework (Citizense) which aims to make participatory sensing more accessible, flexible and transparent...
May 4, 2018: Sensors
https://www.readbyqxmd.com/read/29733671/visual-working-memory-is-more-tolerant-than-visual-long-term-memory
#18
Mark W Schurgin, Jonathan I Flombaum
Human visual memory is tolerant, meaning that it supports object recognition despite variability across encounters at the image level. Tolerant object recognition remains one capacity in which artificial intelligence trails humans. Typically, tolerance is described as a property of human visual long-term memory (VLTM). In contrast, visual working memory (VWM) is not usually ascribed a role in tolerant recognition, with tests of that system usually demanding discriminatory power-identifying changes, not sameness...
May 7, 2018: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/29726076/synergistic-gating-of-electro-iono-photoactive-2d-chalcogenide-neuristors-coexistence-of-hebbian-and-homeostatic-synaptic-metaplasticity
#19
Rohit Abraham John, Fucai Liu, Nguyen Anh Chien, Mohit R Kulkarni, Chao Zhu, Qundong Fu, Arindam Basu, Zheng Liu, Nripan Mathews
Emulation of brain-like signal processing with thin-film devices can lay the foundation for building artificially intelligent learning circuitry in future. Encompassing higher functionalities into single artificial neural elements will allow the development of robust neuromorphic circuitry emulating biological adaptation mechanisms with drastically lesser neural elements, mitigating strict process challenges and high circuit density requirements necessary to match the computational complexity of the human brain...
May 4, 2018: Advanced Materials
https://www.readbyqxmd.com/read/29724701/experiences-of-a-motivational-interview-delivered-by-a-robot-qualitative-study
#20
Joana Galvão Gomes da Silva, David J Kavanagh, Tony Belpaeme, Lloyd Taylor, Konna Beeson, Jackie Andrade
BACKGROUND: Motivational interviewing is an effective intervention for supporting behavior change but traditionally depends on face-to-face dialogue with a human counselor. This study addressed a key challenge for the goal of developing social robotic motivational interviewers: creating an interview protocol, within the constraints of current artificial intelligence, which participants will find engaging and helpful. OBJECTIVE: The aim of this study was to explore participants' qualitative experiences of a motivational interview delivered by a social robot, including their evaluation of usability of the robot during the interaction and its impact on their motivation...
May 3, 2018: Journal of Medical Internet Research
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