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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/28228292/a-fresh-look-at-bioresorbable-scaffold-technology-intuition-pumps
#2
EDITORIAL
Sundeep Mishra
Bioresorbable scaffolds (BRS) are a new enticing treatment option in coronary interventions. Absorb BVS™ Is the most widely used and researched polymer based BRS, eluting everolimus. However currently it has several technical limitations; low radial support, larger strut size, poor visualization, poor deliverability and complex implantation technique. Magnesium based BRS are an alternate but they are also limited not only by lower radial support and poor visualization but also earlier bio-absorption. Material processing: blow-molding, annealing, polymer orientation, change in composition and use of higher molecular weight polymer, as well new polymers like tyrosine or salicyclate analogs and even hybrid (polymer and metallic) combined with intelligent cell design has led to evolution of BRS technology...
January 2017: Indian Heart Journal
https://www.readbyqxmd.com/read/28227683/artsens-%C3%A2-mobile-a-portable-image-free-platform-for-automated-evaluation-of-vascular-stiffness
#3
Malay Ilesh Shah, Jayaraj Joseph, T Aryasree, Mohanasankar Sivaprakasam, Malay Ilesh Shah, Jayaraj Joseph, T Aryasree, Mohanasankar Sivaprakasam, T Aryasree, Mohanasankar Sivaprakasam, Jayaraj Joseph, Malay Ilesh Shah
Vascular stiffness is a key physiological marker significant in screening and early diagnosis of vascular disease. However, state of art techniques for vascular stiffness evaluation are not suited for field deployment. We present ARTSENS(®) Mobile, a portable, image-free ultrasound technology platform for automated evaluation of carotid artery stiffness, amenable for field deployment. The technology utilises a single element ultrasound transducer operated in pulse echo modality to investigate arterial wall dynamics, assisted by intelligent algorithms for wall identification and motion tracking to completely automate the measurement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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/28227146/power-management-design-for-lab-on-chip-biosensors
#5
Xiaojian Yu, Kambiz Moez, I-Chyn Wey, Jie Chen, Xiaojian Yu, Kambiz Moez, I-Chyn Wey, Jie Chen, Kambiz Moez, Xiaojian Yu, I-Chyn Wey, Jie Chen
Over the past decades, we have witnessed the growth demands of portable lab-on-chip biosensors. These lab-on-chip devices are mostly powered by battery, and intelligent power management systems are required to provide supply voltage for different functional units on biosensors (e.g. a microfluidic control system might require higher voltage than the rest working units of biosensors). In this paper, a fully integrated multiple-stage voltage multiplier is proposed to provide high-voltage power needs. The proposed design was implemented with the IBM's 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227048/anticoagulation-manager-development-of-a-clinical-decision-support-mobile-application-for-management-of-anticoagulants
#6
Chih-Wen Cheng, Hang Wu, Pamela J Thompson, Julie R Taylor, Barbara A Zehnbauer, Karlyn K Wilson, May D Wang, Chih-Wen Cheng, Hang Wu, Pamela J Thompson, Julie R Taylor, Barbara A Zehnbauer, Karlyn K Wilson, May D Wang, Karlyn K Wilson, Pamela J Thompson, Barbara A Zehnbauer, Hang Wu, Julie R Taylor, Chih-Wen Cheng, May D Wang
Patients with certain clotting disorders or conditions have a greater risk of developing arterial or venous clots and downstream embolisms, strokes, and arterial insufficiency. These patients need prescription anticoagulant drugs to reduce the possibility of clot formation. However, historically, the clinical decision making workflow in determining the correct type and dosage of anticoagulant(s) is part science and part art. To address this problem, we developed Anticoagulation Manager, an intelligent clinical decision workflow management system on iOS-based mobile devices to help clinicians effectively choose the most appropriate and helpful follow-up clotting tests for patients with a common clotting profile...
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
#7
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/28222516/intelligent-assistive-technology-for-alzheimer-s-disease-and-other-dementias-a-systematic-review
#8
Marcello Ienca, Jotterand Fabrice, Bernice Elger, Maurizio Caon, Alessandro Scoccia Pappagallo, Reto W Kressig, Tenzin Wangmo
Intelligent assistive technologies (IATs) have the potential of offering innovative solutions to mitigate the global burden of dementia and provide new tools for dementia care. While technological opportunities multiply rapidly, clinical applications are rare as the technological potential of IATs remains inadequately translated into dementia care. In this article, the authors present the results of a systematic review and the resulting comprehensive technology index of IATs with application in dementia care...
February 7, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28221382/mechanistic-insights-into-the-photoinduced-charge-carrier-dynamics-of-biobr-cds-nanosheet-heterojunctions-for-photovoltaic-application
#9
Huimin Jia, Beibei Zhang, Weiwei He, Yong Xiang, Zhi Zheng
The rational design of high performance hetero-structure photovoltaic devices requires a full understanding of the photoinduced charge transfer mechanism and kinetics at the interface of heterojunctions. In this paper, we intelligently fabricated p-BiOBr/n-CdS heterojunctions with perfect nanosheet arrays by using a facile successive ionic layer adsorption and reaction and chemical bath deposition methods at low temperature. A BiOBr/CdS heterojunction based solar cell has been fabricated which exhibited enhanced photovoltaic responses...
February 21, 2017: Nanoscale
https://www.readbyqxmd.com/read/28216657/a-strategic-design-of-an-opto-chemical-security-device-with-resettable-and-reconfigurable-password-based-upon-dual-channel-two-in-one-chemosensor-molecule
#10
Tapas Majumdar, Basudeb Haldar, Arabinda Mallick
A simple strategy is proposed to design and develop an intelligent device based on dual channel ion responsive spectral properties of a commercially available molecule, harmine (HM). The system can process different sets of opto-chemical inputs generating different patterns as fluorescence outputs at specific wavelengths which can provide an additional level of protection exploiting both password and pattern recognitions. The proposed system could have the potential to come up with highly secured combinatorial locks at the molecular level that could pose valuable real time and on-site applications for user authentication...
February 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28216586/state-space-formulation-of-nonlinear-vibration-responses-collected-from-a-dynamic-rotor-bearing-system-an-extension-of-bearing-diagnostics-to-bearing-prognostics
#11
Peter W Tse, Dong Wang
Bearings are widely used in various industries to support rotating shafts. Their failures accelerate failures of other adjacent components and may cause unexpected machine breakdowns. In recent years, nonlinear vibration responses collected from a dynamic rotor-bearing system have been widely analyzed for bearing diagnostics. Numerous methods have been proposed to identify different bearing faults. However, these methods are unable to predict the future health conditions of bearings. To extend bearing diagnostics to bearing prognostics, this paper reports the design of a state space formulation of nonlinear vibration responses collected from a dynamic rotor-bearing system in order to intelligently predict bearing remaining useful life (RUL)...
February 14, 2017: Sensors
https://www.readbyqxmd.com/read/28215473/machine-learning-based-prediction-of-adverse-drug-effects-an-example-of-seizure-inducing-compounds
#12
Mengxuan Gao, Hideyoshi Igata, Aoi Takeuchi, Kaoru Sato, Yuji Ikegaya
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machine learning-based in vitro system designed to detect seizure-inducing side effects. We recorded local field potentials from the CA1 alveus in acute mouse neocortico-hippocampal slices, while 14 drugs were bath-perfused at 5 different concentrations each. For each experimental condition, we collected seizure-like neuronal activity and merged their waveforms as one graphic image, which was further converted into a feature vector using Caffe, an open framework for deep learning...
January 28, 2017: Journal of Pharmacological Sciences
https://www.readbyqxmd.com/read/28214562/leveraging-health-informatics-to-a-foster-smart-systems-response-to-health-disparities-and-health-equity-challenges
#13
Timothy Jay Carney, Amanda Y Kong
Informaticians are challenged to design health IT solutions for complex problems like health disparities but are only achieving mixed results in demonstrating a direct impact on health outcomes. This presentation of collective intelligence and the corresponding terms of smart health, knowledge ecosystem, enhanced health disparities informatics capacities, knowledge exchange, big-data, and situational awareness are means of demonstrating the complex challenges informatics professional face in trying to model, measure, and manage an intelligence and a smart systems response to health disparities...
February 15, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28210230/acute-mental-discomfort-associated-with-suicide-behavior-in-a-clinical-sample-of-patients-with-affective-disorders-ascertaining-critical-variables-using-artificial-intelligence-tools
#14
Susana Morales, Jorge Barros, Orietta Echávarri, Fabián García, Alex Osses, Claudia Moya, María Paz Maino, Ronit Fischman, Catalina Núñez, Tita Szmulewicz, Alemka Tomicic
AIM: In efforts to develop reliable methods to detect the likelihood of impending suicidal behaviors, we have proposed the following. OBJECTIVE: To gain a deeper understanding of the state of suicide risk by determining the combination of variables that distinguishes between groups with and without suicide risk. METHOD: A study involving 707 patients consulting for mental health issues in three health centers in Greater Santiago, Chile. Using 345 variables, an analysis was carried out with artificial intelligence tools, Cross Industry Standard Process for Data Mining processes, and decision tree techniques...
2017: Frontiers in Psychiatry
https://www.readbyqxmd.com/read/28209428/an-artificial-intelligence-based-improved-classification-of-two-phase-flow-patterns-with-feature-extracted-from-acquired-images
#15
C Shanthi, N Pappa
Flow pattern recognition is necessary to select design equations for finding operating details of the process and to perform computational simulations. Visual image processing can be used to automate the interpretation of patterns in two-phase flow. In this paper, an attempt has been made to improve the classification accuracy of the flow pattern of gas/ liquid two- phase flow using fuzzy logic and Support Vector Machine (SVM) with Principal Component Analysis (PCA). The videos of six different types of flow patterns namely, annular flow, bubble flow, churn flow, plug flow, slug flow and stratified flow are recorded for a period and converted to 2D images for processing...
February 13, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28208693/a-miniature-magnetic-force-based-three-axis-ac-magnetic-sensor-with-piezoelectric-vibrational-energy-harvesting-functions
#16
Chiao-Fang Hung, Po-Chen Yeh, Tien-Kan Chung
In this paper, we demonstrate a miniature magnetic-force-based, three-axis, AC magnetic sensor with piezoelectric/vibrational energy-harvesting functions. For magnetic sensing, the sensor employs a magnetic-mechanical-piezoelectric configuration (which uses magnetic force and torque, a compact, single, mechanical mechanism, and the piezoelectric effect) to convert x-axis and y-axis in-plane and z-axis magnetic fields into piezoelectric voltage outputs. Under the x-axis magnetic field (sine-wave, 100 Hz, 0.2-3...
February 8, 2017: Sensors
https://www.readbyqxmd.com/read/28208671/a-passive-learning-sensor-architecture-for-multimodal-image-labeling-an-application-for-social-robots
#17
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/28207630/clinical-trials-for-immunosuppression-in-transplantation-the-case-for-reform-and-change-in-direction
#18
Philip J O'Connell, Dirk Kuypers, Roslyn R Mannon, Michael Abecassis, Stephen Chadban, John S Gill, Barbara Murphy, Peter W Nickerson, Jesse D Schold, Peter Stock, Daniel Seron, Rita Alloway, Jonathan Bromberg, Klemens Budde, Stanley Jordan, Christophe Legendre, Carmen Lefaucheur, Minnie Sarwall, Dorry Segev, Mark D Stegall, Stefan G Tullius, Germaine Wong, E Steve Woodle, Nancy Ascher, Randall E Morris
Currently trials of immunosuppression in transplantation are in decline because their objectives remain focused on improving acute rejection rates and graft survival in the first 12 months. With 1 year renal graft survival rates of greater than 90% the best that can be hoped for is noninferiority trial outcomes compared to current standard of care. Current trial design is not leading to novel therapies improving long term outcomes and safety, and hence important unmet clinical needs in transplantation remain unanswered...
February 15, 2017: Transplantation
https://www.readbyqxmd.com/read/28204845/mirnas-target-databases-developmental-methods-and-target-identification-techniques-with-functional-annotations
#19
REVIEW
Nagendra Kumar Singh
PURPOSE: microRNA (miRNA) regulates diverse biological mechanisms and metabolisms in plants and animals. Thus, the discoveries of miRNA has revolutionized the life sciences and medical research.The miRNA represses and cleaves the targeted mRNA by binding perfect or near perfect or imperfect complementary base pairs by RNA-induced silencing complex (RISC) formation during biogenesis process. One miRNA interacts with one or more mRNA genes and vice versa, hence takes part in causing various diseases...
February 15, 2017: Cellular and Molecular Life Sciences: CMLS
https://www.readbyqxmd.com/read/28203269/bionic-vision-based-intelligent-power-line-inspection-system
#20
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
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