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https://www.readbyqxmd.com/read/28640401/two-stage-approach-for-risk-estimation-of-fetal-trisomy-21-and-other-aneuploidies-using-computational-intelligence-systems
#1
A C Neocleous, A Syngelaki, K H Nicolaides, C N Schizas
OBJECTIVE: To estimate the risk for fetal trisomy 21 (T21) and other chromosomal abnormalities at 11-13 week's gestation using computational intelligence classification methods. METHODS: As a first step, we train the artificial neural networks with 72054 euploid pregnancies, 295 cases of T21 and 305 of other chromosomal abnormalities (OCA). Then, we sort the cases into two categories of "no-risk" and "risk". The cases of "no-risk" are no further examined, while the cases with "risk" are forwarded in Stage 2 for further examination where we classify them in three types of risk, namely "no-risk", "moderate-risk" and "high-risk"...
June 22, 2017: Ultrasound in Obstetrics & Gynecology
https://www.readbyqxmd.com/read/28638329/the-contribution-of-cognitive-factors-to-individual-differences-in-understanding-noise-vocoded-speech-in-young-and-older-adults
#2
Stephanie Rosemann, Carsten Gießing, Jale Özyurt, Rebecca Carroll, Sebastian Puschmann, Christiane M Thiel
Noise-vocoded speech is commonly used to simulate the sensation after cochlear implantation as it consists of spectrally degraded speech. High individual variability exists in learning to understand both noise-vocoded speech and speech perceived through a cochlear implant (CI). This variability is partly ascribed to differing cognitive abilities like working memory, verbal skills or attention. Although clinically highly relevant, up to now, no consensus has been achieved about which cognitive factors exactly predict the intelligibility of speech in noise-vocoded situations in healthy subjects or in patients after cochlear implantation...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28632275/architectures-of-soft-robotic-locomotion-enabled-by-simple-mechanical-principles
#3
Liangliang Zhu, Yunteng Cao, Yilun Liu, Zhe Yang, Xi Chen
In nature, a variety of limbless locomotion patterns flourish, from the small or basic life forms (Escherichia coli, amoebae, etc.) to the large or intelligent creatures (e.g., slugs, starfishes, earthworms, octopuses, jellyfishes, and snakes). Many bioinspired soft robots based on locomotion have been developed in the past few decades. In this work, based on the kinematics and dynamics of two representative locomotion modes (i.e., worm-like crawling and snake-like slithering), we propose a broad set of innovative designs for soft mobile robots through simple mechanical principles...
June 20, 2017: Soft Matter
https://www.readbyqxmd.com/read/28631986/accuracy-statistics-in-predicting-independent-activities-of-daily-living-iadl-capacity-with-comprehensive-and-brief-neuropsychological-test-batteries
#4
Peter Karzmark, Gayle K Deutsch
This investigation was designed to determine the predictive accuracy of a comprehensive neuropsychological and brief neuropsychological test battery with regard to the capacity to perform instrumental activities of daily living (IADLs). Accuracy statistics that included measures of sensitivity, specificity, positive and negative predicted power and positive likelihood ratio were calculated for both types of batteries. The sample was drawn from a general neurological group of adults (n = 117) that included a number of older participants (age >55; n = 38)...
February 22, 2017: Applied Neuropsychology. Adult
https://www.readbyqxmd.com/read/28629282/emotional-intelligence-trauma-severity-and-emotional-expression
#5
Min C Kao, Yung Y Chen
This study investigated Emotional Intelligence (EI) as a moderator for the association between emotional expression and adaptive trauma processing, as measured by depressive symptoms. Using Pennebaker's written emotional expression paradigm, 105 participants were assigned to either a conventional trauma-writing or religious trauma-writing condition. Depressive symptoms were assessed at baseline and again at one-month post writing. No significant association between EI and religiousness was found at baseline...
July 2016: International Journal of Psychiatry in Medicine
https://www.readbyqxmd.com/read/28628782/incorporation-of-a-health-economic-modelling-tool-into-public-health-commissioning-evidence-use-in-a-politicised-context
#6
Tom Sanders, Amy Grove, Sarah Salway, Susan Hampshaw, Elizabeth Goyder
This paper explores how commissioners working in an English local government authority (LA) viewed a health economic decision tool for planning services in relation to diabetes. We conducted 15 interviews and 2 focus groups between July 2015 and February 2016, with commissioners (including public health managers, data analysts and council members). Two overlapping themes were identified explaining the obstacles and enablers of using such a tool in commissioning: a) evidence cultures, and b) system interdependency...
June 12, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28626431/artificial-intelligence-assisted-online-social-therapy-for-youth-mental-health
#7
Simon D'Alfonso, Olga Santesteban-Echarri, Simon Rice, Greg Wadley, Reeva Lederman, Christopher Miles, John Gleeson, Mario Alvarez-Jimenez
Introduction: Benefits from mental health early interventions may not be sustained over time, and longer-term intervention programs may be required to maintain early clinical gains. However, due to the high intensity of face-to-face early intervention treatments, this may not be feasible. Adjunctive internet-based interventions specifically designed for youth may provide a cost-effective and engaging alternative to prevent loss of intervention benefits. However, until now online interventions have relied on human moderators to deliver therapeutic content...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28626013/sleep-disrupts-high-level-speech-parsing-despite-significant-basic-auditory-processing
#8
Shiri Makov, Omer Sharon, Nai Ding, Michal Ben-Shachar, Yuval Nir, Elana Zion Golumbic
The extent to which the sleeping brain processes sensory information remains unclear. This is particularly true for continuous and complex stimuli, such as speech, in which information is organized into hierarchically embedded structures. Recently, novel metrics for assessing the neural representation of continuous speech have been developed, using non-invasive brain recordings. Those were so far tested during wakefulness. Here we investigated, for the first time, the sleeping brain's capacity to process continuous speech at different hierarchical levels, using a newly developed Concurrent Hierarchical Tracking (CHT) approach that can online monitor the neural representation and processing-depth of continuous speech...
June 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28625354/foraging-cognition-reviving-the-ecological-intelligence-hypothesis
#9
REVIEW
Alexandra G Rosati
What are the origins of intelligent behavior? The demands associated with living in complex social groups have been the favored explanation for the evolution of primate cognition in general and human cognition in particular. However, recent comparative research indicates that ecological variation can also shape cognitive abilities. I synthesize the emerging evidence that 'foraging cognition' - skills used to exploit food resources, including spatial memory, decision-making, and inhibitory control - varies adaptively across primates...
June 15, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28618201/targeted-quantification-of-functional-enzyme-dynamics-in-environmental-samples-for-microbially-mediated-biogeochemical-processes
#10
Minjing Li, Yuqian Gao, Wei-Jun Qian, Liang Shi, Yuanyuan Liu, William C Nelson, Carrie D Nicora, Charles T Resch, Christopher Thompson, Sen Yan, James K Fredrickson, John M Zachara, Chongxuan Liu
Microbial enzymes catalytically drive biogeochemical processes in environments. The dynamic linkage between functional enzymes and biogeochemical species transformation has, however, rarely been investigated for decades because of the challenges to directly quantify enzymes in environmental samples. The diversity of microorganisms, the low amount of available biomass, and the complexity of chemical composition in environmental samples represent the main challenges. To address the diversity challenge, we first identify several signature peptides that are conserved in the targeted enzymes with the same functionality across many phylogenetically diverse microorganisms using metagenome-based protein sequence data...
June 15, 2017: Environmental Microbiology Reports
https://www.readbyqxmd.com/read/28614470/-health-technology-assessment-in-ecuador-s-ministry-of-public-health-as-a-tool-for-drug-purchasing-from-2012-to-2015
#11
Luciana Armijos, Santiago Escalante, Tatiana Villacrés
Objective: Learn how the Ministry of Public Health (MSP, the Spanish acronym) of Ecuador uses health technology assessment (HTA) in decision-making on the purchase of drugs that are not on the National List of Essential Medicines (NLEM). Methods: Information from databases of the Health Intelligence Directorate (DIS, the Spanish acronym) and the National Directorate of Drugs and Medical Devices (DNMDM, the Spanish acronym), was used to compare decisions made by both entities, to learn about the use and consistency of HTA reports in decisions on purchasing drugs not included in the NLEM...
June 8, 2017: Revista Panamericana de Salud Pública, Pan American Journal of Public Health
https://www.readbyqxmd.com/read/28613251/dynamic-speed-adaptation-for-path-tracking-based-on-curvature-information-and-speed-limits
#12
Citlalli Gámez Serna, Yassine Ruichek
A critical concern of autonomous vehicles is safety. Different approaches have tried to enhance driving safety to reduce the number of fatal crashes and severe injuries. As an example, Intelligent Speed Adaptation (ISA) systems warn the driver when the vehicle exceeds the recommended speed limit. However, these systems only take into account fixed speed limits without considering factors like road geometry. In this paper, we consider road curvature with speed limits to automatically adjust vehicle's speed with the ideal one through our proposed Dynamic Speed Adaptation (DSA) method...
June 14, 2017: Sensors
https://www.readbyqxmd.com/read/28605153/fabrication-of-ph-and-thermoresponsive-three-layered-micelles-via-host-guest-interactions
#13
Jingyan Zhang, Haiou Zhou, Hao Liu, Jinming Hu, Shiyong Liu
Well-defined β-cyclodextrin (β-CD)-terminated double hydrophilic diblock copolymers (DHBCs), β-CD- poly(di(ethylene glycol) methyl ether methacrylate) (PMEO2 MA)-b-poly(2-(diethylamino)ethyl methacrylate) (PDEA) (BP1) and β-CD-PDEA-b-PMEO2 MA (BP2), are synthesized via sequential atom transfer radical polymerizations of di(ethylene glycol) methyl ether methacrylate and 2-(diethylamino)ethyl methacrylate using alkynyl-functionalized initiator, followed by click reactions with an excess of mono-azido-substituted β-cyclodextrin (β-CD-N3 )...
June 12, 2017: Macromolecular Rapid Communications
https://www.readbyqxmd.com/read/28604615/review-on-the-traction-system-sensor-technology-of-a-rail-transit-train
#14
REVIEW
Jianghua Feng, Junfeng Xu, Wu Liao, Yong Liu
The development of high-speed intelligent rail transit has increased the number of sensors applied on trains. These play an important role in train state control and monitoring. These sensors generally work in a severe environment, so the key problem for sensor data acquisition is to ensure data accuracy and reliability. In this paper, we follow the sequence of sensor signal flow, present sensor signal sensing technology, sensor data acquisition, and processing technology, as well as sensor fault diagnosis technology based on the voltage, current, speed, and temperature sensors which are commonly used in train traction systems...
June 11, 2017: Sensors
https://www.readbyqxmd.com/read/28604499/academic-achievement-and-risk-factors-for-adolescents-with-attention-deficit-hyperactivity-disorder-in-middle-school-and-early-high-school
#15
Nardia Zendarski, Emma Sciberras, Fiona Mensah, Harriet Hiscock
OBJECTIVE: Examine academic achievement of students with attention-deficit hyperactivity disorder (ADHD) during the early high school period and identify potentially modifiable risk factors for low achievement. METHOD: Data were collected through surveys (adolescent, parent, and teacher) and direct assessment of Australian adolescents (12-15 yr; n = 130) with ADHD in early high school (i.e., US middle and high school grades). Academic achievement outcomes were measured by linking to individual performance on the National Assessment Program-Literacy and Numeracy (NAPLAN) tests, direct assessment of reading and math, and teacher report of academic competence...
June 7, 2017: Journal of Developmental and Behavioral Pediatrics: JDBP
https://www.readbyqxmd.com/read/28604047/the-smartphone-and-the-driver-s-cognitive-workload-a-comparison-of-apple-google-and-microsoft-s-intelligent-personal-assistants
#16
David L Strayer, Joel M Cooper, Jonna Turrill, James R Coleman, Rachel J Hopman
The goal of this research was to examine the impact of voice-based interactions using 3 different intelligent personal assistants (Apple's Siri, Google's Google Now for Android phones, and Microsoft's Cortana) on the cognitive workload of the driver. In 2 experiments using an instrumented vehicle on suburban roadways, we measured the cognitive workload of drivers when they used the voice-based features of each smartphone to place a call, select music, or send text messages. Cognitive workload was derived from primary task performance through video analysis, secondary-task performance using the Detection Response Task (DRT), and subjective mental workload...
June 2017: Canadian Journal of Experimental Psychology, Revue Canadienne de Psychologie Expérimentale
https://www.readbyqxmd.com/read/28600189/effect-of-high-dose-simvastatin-on-cognitive-neuropsychiatric-and-health-related-quality-of-life-measures-in-secondary-progressive-multiple-sclerosis-secondary-analyses-from-the-ms-stat-randomised-placebo-controlled-trial
#17
Dennis Chan, Sophie Binks, Jennifer M Nicholas, Chris Frost, M Jorge Cardoso, Sebastien Ourselin, David Wilkie, Richard Nicholas, Jeremy Chataway
BACKGROUND: In the 24-month MS-STAT phase 2 trial, we showed that high-dose simvastatin significantly reduced the annualised rate of whole brain atrophy in patients with secondary progressive multiple sclerosis (SPMS). We now describe the results of the MS-STAT cognitive substudy, in which we investigated the treatment effect on cognitive, neuropsychiatric, and health-related quality-of-life (HRQoL) outcome measures. METHODS: We did a secondary analysis of MS-STAT, a 24-month, double-blind, controlled trial of patients with SPMS done at three neuroscience centres in the UK between Jan 28, 2008, and Nov 4, 2011...
June 6, 2017: Lancet Neurology
https://www.readbyqxmd.com/read/28594815/preparation-of-biomimetic-hierarchically-helical-fiber-actuators-from-carbon-nanotubes
#18
Jue Deng, Yifan Xu, Sisi He, Peining Chen, Luke Bao, Yajie Hu, Bingjie Wang, Xuemei Sun, Huisheng Peng
Mechanically responsive materials that are able to sense and respond to external stimuli have important applications in soft robotics and the formation of artificial muscles, such as intelligent electronics, prosthetic limbs, comfort-adjusting textiles and miniature actuators for microfluidics. However, previous artificial muscles based on polymer materials are insufficient in generating large actuations, fast responses, diverse deformation modes and high cycle performances. To this end, carbon nanotubes (CNTs) are proposed as promising candidates to be assembled into artificial muscles, as they are lightweight, robust and have high surface-to-volume ratios...
July 2017: Nature Protocols
https://www.readbyqxmd.com/read/28594638/recognition-of-normal-abnormal-phonocardiographic-signals-using-deep-convolutional-neural-networks-and-mel-frequency-spectral-coefficients
#19
Vykintas Maknickas, Algirdas Maknickas
Intensive care unit patients are heavily monitored, and several clinically relevant parameters are routinely extracted from high resolution signals. The goal of the 2016 PhysioNet/CinC Challenge was to encourage the creation of an intelligent system that fused information from different phonocardiographic signals to create a robust set of normal/abnormal signal detections. Methods: Deep convolutional neural networks and mel-frequency spectral coefficients were used for recognition of normal-abnormal phonocardiographic signals of the human heart...
June 8, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28594564/dynamic-modulation-of-radiative-heat-transfer-beyond-the-blackbody-limit
#20
Kota Ito, Kazutaka Nishikawa, Atsushi Miura, Hiroshi Toshiyoshi, Hideo Iizuka
Dynamic control of electromagnetic heat transfer without changing mechanical configuration opens possibilities in intelligent thermal management in nanoscale systems. We confirmed by experiment that the radiative heat transfer is dynamically modulated beyond the blackbody limit. The near-field electromagnetic heat exchange mediated by phonon-polariton is controlled by the metal-insulator transition of tungsten-doped vanadium dioxide. The functionalized heat flux is transferred over an area of 1.6 cm(2) across a 370 nm gap, which is maintained by the microfabricated spacers and applied pressure...
June 12, 2017: Nano Letters
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