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https://www.readbyqxmd.com/read/28818145/protective-effects-of-emotional-intelligence-and-proactive-coping-on-civil-pilots-mental-health
#1
Yaning Guo, Ming Ji, Xuqun You, Jie Huang
INTRODUCTION: Pilots' mental health is an issue of crucial importance that may endanger flight safety. As such, it is of profound significance to address the question of what characteristics are protective of mental health among pilots. The present study aimed to explore the indirect effects of emotional intelligence (EI) on depression and anxiety via proactive coping, and examine the moderating role of previous flight experience (PFE) in the conditional indirect effect of EI on depression through proactive coping...
September 1, 2017: Aerospace Medicine and Human Performance
https://www.readbyqxmd.com/read/28817175/drug-development-for-breast-colorectal-and-non-small-cell-lung-cancers-from-1979-to-2014
#2
Nancy A Nixon, Omar F Khan, Hasiba Imam, Patricia A Tang, Jose Monzon, Haocheng Li, Gavin Sun, Doreen Ezeife, Sunil Parimi, Scot Dowden, Vincent C Tam
BACKGROUND: Understanding the drug development pathway is critical for streamlining the development of effective cancer treatments. The objective of the current study was to delineate the drug development timeline and attrition rate of different drug classes for common cancer disease sites. METHODS: Drugs entering clinical trials for breast, colorectal, and non-small cell lung cancer were identified using a pharmaceutical business intelligence database. Data regarding drug characteristics, clinical trials, and approval dates were obtained from the database, clinical trial registries, PubMed, and regulatory Web sites...
August 17, 2017: Cancer
https://www.readbyqxmd.com/read/28815127/a-knowledge-based-system-for-intelligent-support-in-pharmacogenomics-evidence-assessment-ontology-driven-evidence-representation-and-retrieval
#3
Chia-Ju Lee, Beth Devine, Peter Tarczy-Hornoch
Pharmacogenomics holds promise as a critical component of precision medicine. Yet, the use of pharmacogenomics in routine clinical care is minimal, partly due to the lack of efficient and effective use of existing evidence. This paper describes the design, development, implementation and evaluation of a knowledge-based system that fulfills three critical features: a) providing clinically relevant evidence, b) applying an evidence-based approach, and c) using semantically computable formalism, to facilitate efficient evidence assessment to support timely decisions on adoption of pharmacogenomics in clinical care...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#4
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813990/a-learning-based-agent-for-home-neurorehabilitation
#5
Andreas Lydakis, Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813969/prediction-of-user-preference-over-shared-control-paradigms-for-a-robotic-wheelchair
#6
Ahmetcan Erdogan, Brenna D Argall
The design of intelligent powered wheelchairs has traditionally focused heavily on providing effective and efficient navigation assistance. Significantly less attention has been given to the end-user's preference between different assistance paradigms. It is possible to include these subjective evaluations in the design process, for example by soliciting feedback in post-experiment questionnaires. However, constantly querying the user for feedback during real-world operation is not practical. In this paper, we present a model that correlates objective performance metrics and subjective evaluations of autonomous wheelchair control paradigms...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28809786/octopus-a-design-methodology-for-motion-capture-wearables
#7
Javier Marin, Teresa Blanco, Jose J Marin
Human motion capture (MoCap) is widely recognised for its usefulness and application in different fields, such as health, sports, and leisure; therefore, its inclusion in current wearables (MoCap-wearables) is increasing, and it may be very useful in a context of intelligent objects interconnected with each other and to the cloud in the Internet of Things (IoT). However, capturing human movement adequately requires addressing difficult-to-satisfy requirements, which means that the applications that are possible with this technology are held back by a series of accessibility barriers, some technological and some regarding usability...
August 15, 2017: Sensors
https://www.readbyqxmd.com/read/28809720/aperiodic-robust-model-predictive-control-for-constrained-continuous-time-nonlinear-systems-an-event-triggered-approach
#8
Changxin Liu, Jian Gao, Huiping Li, Demin Xu
The event-triggered control is a promising solution to cyber-physical systems, such as networked control systems, multiagent systems, and large-scale intelligent systems. In this paper, we propose an event-triggered model predictive control (MPC) scheme for constrained continuous-time nonlinear systems with bounded disturbances. First, a time-varying tightened state constraint is computed to achieve robust constraint satisfaction, and an event-triggered scheduling strategy is designed in the framework of dual-mode MPC...
August 14, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28806754/short-term-prediction-of-solar-energy-in-saudi-arabia-using-automated-design-fuzzy-logic-systems
#9
Majid Almaraashi
Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. This problem affects optimal exploitation of solar energy, especially in connection with other resources. Therefore, reliable solar energy prediction models are essential to solar energy management and economics. This paper presents work aimed at designing reliable models to predict the global horizontal irradiance (GHI) for the next day in 8 stations in Saudi Arabia...
2017: PloS One
https://www.readbyqxmd.com/read/28806716/efficient-hardware-implementation-of-the-subthalamic-nucleus-external-globus-pallidus-oscillation-system-and-its-dynamics-investigation
#10
Shuangming Yang, Xile Wei, Jiang Wang, Bin Deng, Chen Liu, Haitao Yu, Huiyan Li
Modeling and implementation of the nonlinear neural system with physiologically plausible dynamic behaviors are considerably meaningful in the field of computational neuroscience. This study introduces a novel hardware platform to investigate the dynamical behaviors within the nonlinear subthalamic nucleus-external globus pallidus system. In order to reduce the implementation complexities, a hardware-oriented conductance-based subthalamic nucleus (STN) model is presented, which can reproduce accurately the dynamical characteristics of biological conductance-based STN cells...
July 26, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28806336/musical-rehabilitation-in-adult-cochlear-implant-recipients-with-a-self-administered-software
#11
Leah Smith, Lee Bartel, Samidha Joglekar, Joseph Chen
OBJECTIVE: The goal of this study was to determine if a self-administered computer-based rehabilitation program could improve music appreciation and speech understanding in adults who have a cochlear implant (CI). STUDY DESIGN: Prospective study. SETTING: Tertiary adult CI program. PATIENTS: Twenty-one postlingually deafened cochlear implant users between the ages of 27 and 79 years were recruited. INTERVENTIONS(S): A self-administered music rehabilitative software was designed to help improve the perception of musical patterns of increasing complexity, as well as pitch and timbre perception, premised on focused and divided attention...
September 2017: Otology & Neurotology
https://www.readbyqxmd.com/read/28806232/assessment-of-medical-surgical-patients-perception-of-hospital-noises-and-reported-ability-to-rest
#12
Christine L Locke, Diana S Pope
OBJECTIVES: The purpose was to determine if an enhanced privacy curtain (1) impacted ability to rest while hospitalized in the acute care setting and (2) improved patient satisfaction associated with environmental noise. METHODS: The project evaluated a privacy curtain designed to increase speech privacy and intelligibility and reduce reverberation time (echo). The curtain was similar to the existing privacy curtain with 2 exceptions: the curtain panel had pocket inserts that absorbed sound, and curtain panels could be zipped together to reduce sound transmission through gaps...
September 2017: Clinical Nurse Specialist CNS
https://www.readbyqxmd.com/read/28803960/evaluating-impacts-of-different-longitudinal-driver-assistance-systems-on-reducing-multi-vehicle-rear-end-crashes-during-small-scale-inclement-weather
#13
Ye Li, Lu Xing, Wei Wang, Hao Wang, Changyin Dong, Shanwen Liu
Multi-vehicle rear-end (MVRE) crashes during small-scale inclement (SSI) weather cause high fatality rates on freeways, which cannot be solved by traditional speed limit strategies. This study aimed to reduce MVRE crash risks during SSI weather using different longitudinal driver assistance systems (LDAS). The impact factors on MVRE crashes during SSI weather were firstly analyzed. Then, four LDAS, including Forward collision warning (FCW), Autonomous emergency braking (AEB), Adaptive cruise control (ACC) and Cooperative ACC (CACC), were modeled based on a unified platform, the Intelligent Driver Model (IDM)...
August 9, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28803481/autonomous-collision-free-navigation-of-microvehicles-in-complex-and-dynamically-changing-environments
#14
Tianlong Li, Xiaocong Chang, Zhiguang Wu, Jinxing Li, Guangbin Shao, Xinghong Deng, Jianbin Qiu, Bin Guo, Guangyu Zhang, Qiang He, Longqiu Li, Joseph Wang
Self-propelled micro- and nanoscale robots represent a rapidly emerging and fascinating robotics research area. However, designing autonomous and adaptive control systems for operating micro-/nanorobotics in complex and dynamically-changing environments, which is a highly demanding feature, is still an unmet challenge. Here we describe a smart microvehicle for precise autonomous navigation in complicated environments and traffic scenarios. The fully autonomous navigation system of the smart microvehicle is composed of a microscope-coupled CCD camera, an artificial intelligence planner, and a magnetic field generator...
August 12, 2017: ACS Nano
https://www.readbyqxmd.com/read/28800738/advances-in-closed-loop-deep-brain-stimulation-devices
#15
REVIEW
Mahboubeh Parastarfeizabadi, Abbas Z Kouzani
BACKGROUND: Millions of patients around the world are affected by neurological and psychiatric disorders. Deep brain stimulation (DBS) is a device-based therapy that could have fewer side-effects and higher efficiencies in drug-resistant patients compared to other therapeutic options such as pharmacological approaches. Thus far, several efforts have been made to incorporate a feedback loop into DBS devices to make them operate in a closed-loop manner. METHODS: This paper presents a comprehensive investigation into the existing research-based and commercial closed-loop DBS devices...
August 11, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28796973/the-role-of-social-cue-utilization-and-closing-the-loop-communication-in-the-performance-of-ad-hoc-dyads
#16
Daniel J Yee, Mark W Wiggins, Ben J Searle
OBJECTIVE: To examine whether social cue utilization impacts the performance of ad hoc dyads through its relationship with closing the loop, a communication process whereby team members respond more frequently to initiating statements made by others. BACKGROUND: There lacks unequivocal experimental evidence for any single cognitive-based process that might predict the performance of ad hoc teams. METHOD: Using a quasi-experimental design, 80 participants were classified into 40 dyads based on their levels of social cue utilization and attempted a team problem-solving task...
September 2017: Human Factors
https://www.readbyqxmd.com/read/28792257/strategies-for-interprofessional-facilitators-and-clinical-supervisors-that-may-enhance-the-emotional-intelligence-of-therapy-students
#17
Nigel Gribble, Richard K Ladyshewsky, Richard Parsons
Emotional intelligence (EI) is a critical skill for occupational therapy, physiotherapy, and speech pathology students (therapy students). This article reports the findings from an analysis of interviews with therapy students (n = 24) to determine the aspects of clinical placements that therapy students perceived as influencing the changes in EI scores. This article reports the findings of the qualitative phase of a longitudinal, retrospective mixed methods design. Interviewees were selected using purposive sampling...
August 9, 2017: Journal of Interprofessional Care
https://www.readbyqxmd.com/read/28790044/access-3-project-protocol-young-people-and-health-system-navigation-in-the-digital-age-a-multifaceted-mixed-methods-study
#18
Melissa Kang, Fiona Robards, Lena Sanci, Katharine Steinbeck, Stephen Jan, Catherine Hawke, Marlene Kong, Tim Usherwood
BACKGROUND: The integration of digital technology into everyday lives of young people has become widespread. It is not known whether and how technology influences barriers and facilitators to healthcare, and whether and how young people navigate between face-to-face and virtual healthcare. To provide new knowledge essential to policy and practice, we designed a study that would explore health system access and navigation in the digital age. The study objectives are to: (1) describe experiences of young people accessing and navigating the health system in New South Wales (NSW), Australia; (2) identify barriers and facilitators to healthcare for young people and how these vary between groups; (3) describe health system inefficiencies, particularly for young people who are marginalised; (4) provide policy-relevant knowledge translation of the research data...
August 7, 2017: BMJ Open
https://www.readbyqxmd.com/read/28783079/an-ultra-low-power-turning-angle-based-biomedical-signal-compression-engine-with-adaptive-threshold-tuning
#19
Jun Zhou, Chao Wang
Intelligent sensing is drastically changing our everyday life including healthcare by biomedical signal monitoring, collection, and analytics. However, long-term healthcare monitoring generates tremendous data volume and demands significant wireless transmission power, which imposes a big challenge for wearable healthcare sensors usually powered by batteries. Efficient compression engine design to reduce wireless transmission data rate with ultra-low power consumption is essential for wearable miniaturized healthcare sensor systems...
August 6, 2017: Sensors
https://www.readbyqxmd.com/read/28782029/eye-motion-triggered-self-powered-mechnosensational-communication-system-using-triboelectric-nanogenerator
#20
Xianjie Pu, Hengyu Guo, Jie Chen, Xue Wang, Yi Xi, Chenguo Hu, Zhong Lin Wang
Mechnosensational human-machine interfaces (HMIs) can greatly extend communication channels between human and external devices in a natural way. The mechnosensational HMIs based on biopotential signals have been developing slowly owing to the low signal-to-noise ratio and poor stability. In eye motions, the corneal-retinal potential caused by hyperpolarization and depolarization is very weak. However, the mechanical micromotion of the skin around the corners of eyes has never been considered as a good trigger signal source...
July 2017: Science Advances
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