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https://www.readbyqxmd.com/read/28231323/even-good-bots-fight-the-case-of-wikipedia
#1
Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi, Taha Yasseri
In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, and sociality and it is hence natural to expect interactions between bots to be relatively predictable and uneventful...
2017: PloS One
https://www.readbyqxmd.com/read/28230767/an-adaptive-multi-sensor-data-fusion-method-based-on-deep-convolutional-neural-networks-for-fault-diagnosis-of-planetary-gearbox
#2
Luyang Jing, Taiyong Wang, Ming Zhao, Peng Wang
A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems. Nevertheless, this approach suffers from two challenges, which are (1) the feature extraction from various types of sensory data and (2) the selection of a suitable fusion level. It is usually difficult to choose an optimal feature or fusion level for a specific fault diagnosis task, and extensive domain expertise and human labor are also highly required during these selections...
February 21, 2017: Sensors
https://www.readbyqxmd.com/read/28229839/-the-impact-of-electronic-monitoring-on-healthcare-associated-infections-the-role-of-the-hvital-platform
#3
Rita Fontes Oliveira, Lídia Castro, José Pedro Almeida, Carlos Alves, António Ferreira
INTRODUCTION: In Portugal, 9.8% of patients admitted were inflicted with healthcare associated infections, corresponding to a prevalence of 11.7%. The Hospital de São João has developed a business intelligence platform able to supervise (the patients), monitor (the clinical condition) and notify (the healthcare personnel): HViTAL. This study aims to assess the impact of electronic monitoring on healthcare associated infections since the year of HViTAL implementation. MATERIAL AND METHODS: We evaluated data since January 2008 (moment from which computerized records exist) until December 2011, comparing them with subsequent data, those corresponding to January 2012 (implementation date of HViTAL) until 19 October 2015...
November 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28227535/skills-based-evaluation-of-alternative-input-methods-to-command-a-semi-autonomous-electric-wheelchair
#4
Mario Rojas, Pedro Ponce, Arturo Molina, Mario Rojas, Pedro Ponce, Arturo Molina, Pedro Ponce, Mario Rojas, Arturo Molina
This paper presents the evaluation, under standardized metrics, of alternative input methods to steer and maneuver a semi-autonomous electric wheelchair. The Human-Machine Interface (HMI), which includes a virtual joystick, head movements and speech recognition controls, was designed to facilitate mobility skills for severely disabled people. Thirteen tasks, which are common to all the wheelchair users, were attempted five times by controlling it with the virtual joystick and the hands-free interfaces in different areas for disabled and non-disabled people...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226537/automated-transepithelial-electrical-resistance-measurements-of-the-epiderm-reconstructed-human-epidermis-model
#5
Frank A Alexander, Joachim Wiest, Frank A Alexander, Joachim Wiest, Joachim Wiest, Frank A Alexander
Understanding the effect of exogenous substances on human skin is critical for toxicology assessment. To address this, numerous artificial models of the topmost layer of human skin, so-called reconstructed human epidermis (RhE), have been created in an attempt to produce a clear analogue for testing. Unfortunately, current testing modalities still rely on endpoint assays and are not capable of monitoring time-resolved changes in barrier function without using numerous redundant samples. In this work, a novel, time-resolved approach is realized by monitoring the transepithelial electrical resistance (TEER) of MatTek EpiDerm® reconstructed human epidermis model, utilizing an automated protocol with the Intelligent Mobile Lab for in vitro diagnostics (IMOLA-IVD)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223959/time-does-not-help-orangutans-pongo-abelii-solve-physical-problems
#6
Johan Lind, Sofie Lönnberg, Tomas Persson, Magnus Enquist
Many questions in animal intelligence and cognition research are challenging. One challenge is to identify mechanisms underlying reasoning in experiments. Here, we provide a way to design such tests in non-human animals. We know from research in skill acquisition in humans that reasoning and thinking can take time because some problems are processed in multiple steps before a solution is reached (e.g., during mental arithmetics). If animals are able to learn through similar processes their decision making can be time consuming, and most importantly improve if more time to process information is allowed...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28211470/transient-auditory-nerve-demyelination-as-a-new-mechanism-for-hidden-hearing-loss
#7
Guoqiang Wan, Gabriel Corfas
Hidden hearing loss (HHL) is a recently described auditory neuropathy believed to contribute to speech discrimination and intelligibility deficits in people with normal audiological tests. Animals and humans with HHL have normal auditory thresholds but defective cochlear neurotransmission, that is, reduced suprathreshold amplitude of the sound-evoked auditory nerve compound action potential. Currently, the only cellular mechanism known for HHL is loss of inner hair cell synapses (synaptopathy). Here we report that transient loss of cochlear Schwann cells results in permanent auditory deficits characteristic of HHL...
February 17, 2017: Nature Communications
https://www.readbyqxmd.com/read/28208734/towards-building-a-computer-aided-education-system-for-special-students-using-wearable-sensor-technologies
#8
Raja Majid Mehmood, Hyo Jong Lee
Human computer interaction is a growing field in terms of helping people in their daily life to improve their living. Especially, people with some disability may need an interface which is more appropriate and compatible with their needs. Our research is focused on similar kinds of problems, such as students with some mental disorder or mood disruption problems. To improve their learning process, an intelligent emotion recognition system is essential which has an ability to recognize the current emotional state of the brain...
February 8, 2017: Sensors
https://www.readbyqxmd.com/read/28208671/a-passive-learning-sensor-architecture-for-multimodal-image-labeling-an-application-for-social-robots
#9
Marco A Gutiérrez, Luis J Manso, Harit Pandya, Pedro Núñez
Object detection and classification have countless applications in human-robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means dealing with constant environment changes and relatively low-quality sensor data due to the distance at which objects are often found...
February 11, 2017: Sensors
https://www.readbyqxmd.com/read/28203269/bionic-vision-based-intelligent-power-line-inspection-system
#10
Qingwu Li, Yunpeng Ma, Feijia He, Shuya Xi, Jinxin Xu
Detecting the threats of the external obstacles to the power lines can ensure the stability of the power system. Inspired by the attention mechanism and binocular vision of human visual system, an intelligent power line inspection system is presented in this paper. Human visual attention mechanism in this intelligent inspection system is used to detect and track power lines in image sequences according to the shape information of power lines, and the binocular visual model is used to calculate the 3D coordinate information of obstacles and power lines...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28199777/graphene-an-outstanding-multifunctional-coating-for-conventional-materials
#11
REVIEW
Lifang Tan, Chenxiao Wang, Mengqi Zeng, Lei Fu
As the most significant facilitator of human civilization, materials are eternal jewels in the view of researchers whose brilliance never faded. However, simple conventional materials, which are most commonly used and indispensable today, seem too primitive and insufficiently functional to meet the demands of the future intelligent and informational applications, urging more functions to be integrated. The ideal strategy to achieve the transformations of conventional materials non-destructively is functionalizing the surface and retaining the original properties at the same time...
February 15, 2017: Small
https://www.readbyqxmd.com/read/28197092/bci-control-of-heuristic-search-algorithms
#12
Marc Cavazza, Gabor Aranyi, Fred Charles
The ability to develop Brain-Computer Interfaces (BCI) to Intelligent Systems would offer new perspectives in terms of human supervision of complex Artificial Intelligence (AI) systems, as well as supporting new types of applications. In this article, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI. The rationale is that heuristic search is not only a basic AI mechanism but also one still at the heart of many different AI systems. We investigate how users' mental disposition can be harnessed to influence the performance of heuristic search algorithm through a mechanism of precision-complexity exchange...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28187187/widespread-signatures-of-positive-selection-in-common-risk-alleles-associated-to-autism-spectrum-disorder
#13
Renato Polimanti, Joel Gelernter
The human brain is the outcome of innumerable evolutionary processes; the systems genetics of psychiatric disorders could bear their signatures. On this basis, we analyzed five psychiatric disorders, attention deficit hyperactivity disorder, autism spectrum disorder (ASD), bipolar disorder, major depressive disorder, and schizophrenia (SCZ), using GWAS summary statistics from the Psychiatric Genomics Consortium. Machine learning-derived scores were used to investigate two natural-selection scenarios: complete selection (loci where a selected allele reached fixation) and incomplete selection (loci where a selected allele has not yet reached fixation)...
February 10, 2017: PLoS Genetics
https://www.readbyqxmd.com/read/28174613/banknote-recognition-investigating-processing-and-cognition-framework-using-competitive-neural-network
#14
Oyebade K Oyedotun, Adnan Khashman
Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28155865/a-genome-wide-association-study-identifies-genetic-variants-associated-with-mathematics-ability
#15
Huan Chen, Xiao-Hong Gu, Yuxi Zhou, Zeng Ge, Bin Wang, Wai Ting Siok, Guoqing Wang, Michael Huen, Yuyang Jiang, Li-Hai Tan, Yimin Sun
Mathematics ability is a complex cognitive trait with polygenic heritability. Genome-wide association study (GWAS) has been an effective approach to investigate genetic components underlying mathematic ability. Although previous studies reported several candidate genetic variants, none of them exceeded genome-wide significant threshold in general populations. Herein, we performed GWAS in Chinese elementary school students to identify potential genetic variants associated with mathematics ability. The discovery stage included 494 and 504 individuals from two independent cohorts respectively...
February 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28148806/the-quest-for-the-ffa-and-where-it-led
#16
Nancy Kanwisher
This article tells the story behind our first paper on the fusiform face area (FFA): how we chose the question, developed the methods, and followed the data to find the FFA and subsequently many other functionally specialized cortical regions. The paper's impact had less to do with the particular findings in the paper itself and more to do with the method that it promoted and the picture of the human mind and brain that it led to. The use of a functional localizer to define a candidate region in each subject individually enabled us not just to make pictures of brain activation, but also to ask principled, hypothesis-driven questions about a thing in nature...
February 1, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28140743/the-roles-of-motor-activity-and-environmental-enrichment-in-intellectual-disability
#17
Andrea De Giorgio
In people with intellectual disabilities, an enriched environment can stimulate the acquisition of motor skills and could partially repair neuronal impairment thanks to exploration and motor activity. A deficit in environmental and motor stimulation leads to low scores in intelligence tests and can cause serious motor skill problems. Although studies in humans do not give much evidence for explaining basic mechanisms of intellectual disability and for highlighting improvements due to enriched environmental stimulation, animal models have been valuable in the investigation of these conditions...
January 31, 2017: Somatosensory & Motor Research
https://www.readbyqxmd.com/read/28138367/machine-learning-and-data-mining-methods-in-diabetes-research
#18
REVIEW
Ioannis Kavakiotis, Olga Tsave, Athanasios Salifoglou, Nicos Maglaveras, Ioannis Vlahavas, Ioanna Chouvarda
The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). To this end, application of machine learning and data mining methods in biosciences is presently, more than ever before, vital and indispensable in efforts to transform intelligently all available information into valuable knowledge. Diabetes mellitus (DM) is defined as a group of metabolic disorders exerting significant pressure on human health worldwide...
2017: Computational and Structural Biotechnology Journal
https://www.readbyqxmd.com/read/28129944/reduced-cholinergic-basal-forebrain-integrity-links-neonatal-complications-and-adult-cognitive-deficits-after-premature-birth
#19
Michel J Grothe, Lukas Scheef, Josef Bäuml, Chun Meng, Marcel Daamen, Nicole Baumann, Claus Zimmer, Stefan Teipel, Peter Bartmann, Henning Boecker, Dieter Wolke, Afra Wohlschläger, Christian Sorg
BACKGROUND: Prematurely born individuals have an increased risk for long-term neurocognitive impairments. In animal models, development of the cholinergic basal forebrain (cBF) is selectively vulnerable to adverse effects of perinatal stressors, and impaired cBF integrity results in lasting cognitive deficits. We hypothesized that cBF integrity is impaired in prematurely born individuals and mediates adult cognitive impairments associated with prematurity. METHODS: We used magnetic resonance imaging-based volumetric assessments of a cytoarchitectonically defined cBF region of interest to determine differences in cBF integrity between 99 adults who were born very preterm and/or with very low birth weight and 106 term-born control subjects from the same birth cohort...
December 15, 2016: Biological Psychiatry
https://www.readbyqxmd.com/read/28126242/artificial-intelligence-in-medicine
#20
Pavel Hamet, Johanne Tremblay
Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI is generally accepted as having started with the invention of robots. The term derives from the Czech word robota, meaning biosynthetic machines used as forced labor. In this field, Leonardo Da Vinci's lasting heritage is today's burgeoning use of robotic-assisted surgery, named after him, for complex urologic and gynecologic procedures. Da Vinci's sketchbooks of robots helped set the stage for this innovation...
January 11, 2017: Metabolism: Clinical and Experimental
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