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https://www.readbyqxmd.com/read/28346064/modeling-and-simulation-of-two-wheelchair-accessories-for-pushing-doors
#1
Soran Jalal Abdullah, Javeed Shaikh Mohammed
Independent mobility is vital to individuals of all ages, and wheelchairs have proven to be great personal mobility devices. The tasks of opening and navigating through a door are trivial for healthy people, while the same tasks could be difficult for some wheelchair users. A wide range of intelligent wheelchair controllers and systems, robotic arms, or manipulator attachments integrated with wheelchairs have been developed for various applications, including manipulating door knobs. Unfortunately, the intelligent wheelchairs and robotic attachments are not widely available as commercial products...
March 27, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/28344110/toward-a-systematic-exploration-of-nano-bio-interactions
#2
REVIEW
Xue Bai, Fang Liu, Yin Liu, Cong Li, Shenqing Wang, Hongyu Zhou, Wenyi Wang, Hao Zhu, Dave Winkler, Bing Yan
Many studies of nanomaterials make non-systematic alterations of nanoparticle physicochemical properties. Given the immense size of the property space for nanomaterials, such approaches are not very useful in elucidating fundamental relationships between inherent physicochemical properties of these materials and their interactions with, and effects on, biological systems. Data driven artificial intelligence methods such as machine learning algorithms have proven highly effective in generating models with good predictivity and some degree of interpretability...
March 24, 2017: Toxicology and Applied Pharmacology
https://www.readbyqxmd.com/read/28342724/a-hypergraph-and-arithmetic-residue-based-probabilistic-neural-network-for-classification-in-intrusion-detection-systems
#3
M R Gauthama Raman, Nivethitha Somu, Kannan Kirthivasan, V S Shankar Sriram
Over the past few decades, the design of an intelligent Intrusion Detection System (IDS) remains an open challenge to the research community. Continuous efforts by the researchers have resulted in the development of several learning models based on Artificial Neural Network (ANN) to improve the performance of the IDSs. However, there exists a tradeoff with respect to the stability of ANN architecture and the detection rate for less frequent attacks. This paper presents a novel approach based on Helly property of Hypergraph and Arithmetic Residue-based Probabilistic Neural Network (HG AR-PNN) to address the classification problem in IDS...
February 17, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28338440/a-study-of-cognitive-function-in-treatment-refractory-obsessive-compulsive-disorder-treated-with-capsulotomy
#4
Feilong Gong, Peng Li, Bin Li, Shizhen Zhang, Xinjie Zhang, Sen Yang, Hongbin Liu, Wei Wang
OBJECTIVE Anterior capsulotomy (AC) is sometimes used as a last resort for treatment-refractory obsessive-compulsive disorder (OCD). Previous studies assessing neuropsychological outcomes in patients with OCD have identified several forms of cognitive dysfunction that are associated with the disease, but few have focused on changes in cognitive function in OCD patients who have undergone surgery. In the present study, the authors investigated the effects of AC on the cognitive function of patients with treatment-refractory OCD...
March 24, 2017: Journal of Neurosurgery
https://www.readbyqxmd.com/read/28336477/a-novel-semantic-representation-for-eligibility-criteria-in-clinical-trials
#5
Efthymios Chondrogiannis, Vassiliki Andronikou, Anastasios Tagaris, Efstathios Karanastasis, Theodora Varvarigou, Masatsugu Tsuji
Eligibility Criteria (EC) comprise an important part of a clinical study, being determinant of its cost, duration and overall success. Their formal, computer-processable description can significantly improve clinical trial design and conduction by enabling their intelligent processing, replicability and linkability with other data. For EC representation purposes, related standards were investigated, along with published literature. Moreover, a considerable number of clinicaltrials.gov studies was analyzed in collaboration with clinical experts for the determination and classification of parameters of clinical research importance...
March 21, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28336341/visuospatial-information-processing-load-and-the-ratio-between-parietal-cue-and-target-p3-amplitudes-in-the-attentional-network-test
#6
Dimitri M Abramov, Monique Pontes, Adailton T Pontes, Carlos A Mourao-Junior, Juliana Vieira, Carla Quero Cunha, Tiago Tamborino, Paulo R Galhanone, Leonardo C deAzevedo, Vladimir V Lazarev
In ERP studies of cognitive processes during attentional tasks, the cue signals containing information about the target can increase the amplitude of the parietal cue P3 in relation to the 'neutral' temporal cue, and reduce the subsequent target P3 when this information is valid, i.e. corresponds to the target's attributes. The present study compared the cue-to-target P3 ratios in neutral and visuospatial cueing, in order to estimate the contribution of valid visuospatial information from the cue to target stages of the task performance, in terms of cognitive load...
March 20, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28333495/variables-associated-with-achievement-in-higher-education-a-systematic-review-of-meta-analyses
#7
Michael Schneider, Franzis Preckel
The last 2 decades witnessed a surge in empirical studies on the variables associated with achievement in higher education. A number of meta-analyses synthesized these findings. In our systematic literature review, we included 38 meta-analyses investigating 105 correlates of achievement, based on 3,330 effect sizes from almost 2 million students. We provide a list of the 105 variables, ordered by the effect size, and summary statistics for central research topics. The results highlight the close relation between social interaction in courses and achievement...
March 23, 2017: Psychological Bulletin
https://www.readbyqxmd.com/read/28332823/from-dual-mode-triboelectric-nanogenerator-to-smart-tactile-sensor-a-multiplexing-design
#8
Tao Li, Jingdian Zou, Fei Xing, Meng Zhang, Xia Cao, Ning Wang, Zhong Lin Wang
Triboelectric nanogenerators (TENGs) can be applied for the next generation of artificial intelligent products, where skin-like tactile sensing advances the ability of robotics to feel and interpret environment. In this paper, a flexible and thin tactile sensor was developed on the basis of dual-mode TENGs. The effective transduction of touch and pressure stimulus into independent and interpretable electrical signals permits the instantaneous sensing of location and pressure with a plane resolution of 2 mm, a high-pressure-sensing sensitivity up to 28 mV·N(-1), and a linear pressure detection ranging from 40 to 140 N...
March 23, 2017: ACS Nano
https://www.readbyqxmd.com/read/28331566/person-centered-prediction-of-survival-in-population-based-screening-program-by-an-intelligent-clinical-decision-support-system
#9
Reza Safdari, Elham Maserat, Hamid Asadzadeh Aghdaei, Amir Hossein Javan Amoli, Hamid Mohaghegh Shalmani
AIM: To survey person centered survival rate in population based screening program by an intelligent clinical decision support system. BACKGROUND: Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan...
2017: Gastroenterology and Hepatology From Bed to Bench
https://www.readbyqxmd.com/read/28328516/anrad-a-neuromorphic-anomaly-detection-framework-for-massive-concurrent-data-streams
#10
Qiuwen Chen, Ryan Luley, Qing Wu, Morgan Bishop, Richard W Linderman, Qinru Qiu
The evolution of high performance computing technologies has enabled the large-scale implementation of neuromorphic models and pushed the research in computational intelligence into a new era. Among the machine learning applications, unsupervised detection of anomalous streams is especially challenging due to the requirements of detection accuracy and real-time performance. Designing a computing framework that harnesses the growing computing power of the multicore systems while maintaining high sensitivity and specificity to the anomalies is an urgent research topic...
March 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28327515/shadow-detection-based-on-regions-of-light-sources-for-object-extraction-in-nighttime-video
#11
Gil-Beom Lee, Myeong-Jin Lee, Woo-Kyung Lee, Joo-Heon Park, Tae-Hwan Kim
Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection. Shadow regions inside video frames sometimes appear as foreground objects, interfere with ensuing processes, and finally degrade the event detection performance of the systems. Conventional studies have mostly used intensity, color, texture, and geometric information to perform shadow detection in daytime video, but these methods lack the capability of removing shadows in nighttime video...
March 22, 2017: Sensors
https://www.readbyqxmd.com/read/28325604/early-prediction-of-radiotherapy-induced-parotid-shrinkage-and-toxicity-based-on-ct-radiomics-and-fuzzy-classification
#12
Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the prediction is obtained timely, before or during the early phase of treatment. Artificial intelligence can address the problem, by learning from examples and building classification models. In particular, fuzzy logic has shown its suitability for medical applications, in order to manage uncertain data, and to build transparent rule-based classifiers...
March 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#13
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28301390/pre-and-postoperative-binaural-unmasking-for-bimodal-cochlear-implant-listeners
#14
Benjamin M Sheffield, Gerald Schuchman, Joshua G W Bernstein
OBJECTIVES: Cochlear implants (CIs) are increasingly recommended to individuals with residual bilateral acoustic hearing. Although new hearing-preserving electrode designs and surgical approaches show great promise, CI recipients are still at risk to lose acoustic hearing in the implanted ear, which could prevent the ability to take advantage of binaural unmasking to aid speech recognition in noise. This study examined the tradeoff between the benefits of a CI for speech understanding in noise and the potential loss of binaural unmasking for CI recipients with some bilateral preoperative acoustic hearing...
March 15, 2017: Ear and Hearing
https://www.readbyqxmd.com/read/28300785/health-monitoring-and-evaluation-of-long-span-bridges-based-on-sensing-and-data-analysis-a-survey
#15
REVIEW
Jianting Zhou, Xiaogang Li, Runchuan Xia, Jun Yang, Hong Zhang
Aimed at the health monitoring and evaluation of bridges based on sensing technology, the monitoring contents of different structural types of long-span bridges were defined. Then, the definition, classification, selection principle, and installation requirements of the sensors were summarized. The concept was proposed that new adaptable long-life sensors could be developed by new theories and new effects. The principle and methods to select controlled sections and optimize the layout design of measuring points were illustrated...
March 16, 2017: Sensors
https://www.readbyqxmd.com/read/28300762/an-approach-to-automated-fusion-system-design-and-adaptation
#16
Alexander Fritze, Uwe Mönks, Christoph-Alexander Holst, Volker Lohweg
Industrial applications are in transition towards modular and flexible architectures that are capable of self-configuration and -optimisation. This is due to the demand of mass customisation and the increasing complexity of industrial systems. The conversion to modular systems is related to challenges in all disciplines. Consequently, diverse tasks such as information processing, extensive networking, or system monitoring using sensor and information fusion systems need to be reconsidered. The focus of this contribution is on distributed sensor and information fusion systems for system monitoring, which must reflect the increasing flexibility of fusion systems...
March 16, 2017: Sensors
https://www.readbyqxmd.com/read/28295639/role-of-charge-traps-in-the-performance-of-atomically-thin-transistors
#17
Iddo Amit, Tobias J Octon, Nicola J Townsend, Francesco Reale, C David Wright, Cecilia Mattevi, Monica F Craciun, Saverio Russo
Transient currents in atomically thin MoTe2 field-effect transistors (FETs) are measured during cycles of pulses through the gate electrode. The curves of the transient currents are analyzed in light of a newly proposed model for charge-trapping dynamics that renders a time-dependent change in the threshold voltage as the dominant effect on the channel hysteretic behavior over emission currents from the charge traps. The proposed model is expected to be instrumental in understanding the fundamental physics that governs the performance of atomically thin FETs and is applicable to the entire class of atomically thin-based devices...
March 15, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28292606/speech-language-and-reading-skills-in-10-year-old-children-with-palatal-clefts-the-impact-of-additional-conditions
#18
Kristin Billaud Feragen, Ragnhild Aukner, Tone K Særvold, Øydis Hide
BACKGROUND: This study examined speech (hypernasality and intelligibility), language, and reading skills in children with a cleft palate, specifically investigating additional conditions to the cleft, in order to differentiate challenges related to a cleft only, and challenges associated with an additional condition. DESIGN: Cross-sectional data collected during routine assessments of speech and language in a centralised treatment setting. PARTICIPANTS: Children born with cleft with palatal involvement from four birth cohorts (n=184), aged 10...
March 7, 2017: Journal of Communication Disorders
https://www.readbyqxmd.com/read/28290709/selection-of-test-setup-parameters-to-target-specific-signal-to-noise-regions-in-speech-on-speech-intelligibility-testing
#19
Filip M Rønne, Søren Laugesen, Niels Søgaard Jensen
OBJECTIVE: To investigate the magnitude of the change in speech-reception threshold (SRT) provided by altering four different test-setup parameters. Furthermore, to determine whether these changes in SRT are of a sufficient magnitude, such that they can be used to design a test-setup in future experiments that target a predefined signal-to-noise ratio (SNR) region. This could be particularly important if the test contrast investigated is confounded with test SNR. DESIGN: The investigated test-setup parameters were: Spatial separation between target (0°) and maskers (±15°, ±30°, ±45°, or ±75°), number of maskers (two, four or six), scoring method (scoring percent-correct words or sentences) and masker gender (same or opposite to target)...
March 14, 2017: International Journal of Audiology
https://www.readbyqxmd.com/read/28287972/videography-based-unconstrained-video-analysis
#20
Kang Li, Sheng Li, Sangmin Oh, Yun Fu
Video analysis and understanding play a central role in visual intelligence. In this paper, we aim to analyze unconstrained videos, by designing features and approaches to represent and analyze videography styles in the videos. Videography denotes the process of making videos. The unconstrained videos are defined as the long duration consumer videos that usually have diverse editing artifacts and significant complexity of contents. We propose to construct a videography dictionary, which can be utilized to represent every video clip as a sequence of videography words...
March 6, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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