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Zhiwei Zhou, Xiaotao Shen, Jia Tu, Zheng-Jiang Zhu
The rapid development of metabolomics has significantly advanced health and disease related research. However, metabolite identification remains a major analytical challenge for untargeted metabolomics. While the use of collision cross-section (CCS) values obtained in ion mobility - mass spectrometry (IM-MS) effectively increases identification confidence of metabolites, it is restricted by the limited number of available CCS values for metabolites. Here, we demonstrated the use of a machine-learning algorithm called support vector regression (SVR) to develop a prediction method that utilized 14 common molecular descriptors to predict CCS values for metabolites...
October 21, 2016: Analytical Chemistry
John M Collins, Ofer Reizes, Michael K Dempsey
Academic investigators are generating a plethora of insights and technologies that have the potential to significantly improve patient care. However, to address the imperative to improve the quality, cost and access to care with ever more constrained funding, the efficiency and the consistency with which they are translated into cost effective products and/or services need to improve. Healthcare commercialization programs (HCPs) are described and proposed as an option that institutions can add to their portfolio to improve translational research...
2016: IEEE Journal of Translational Engineering in Health and Medicine
Shruti Gupta, Jehan Alladina, Kevin Heaton, Eli Miloslavsky
BACKGROUND: Subspecialty fellows can serve as a tremendous educational resource to residents; however, there are multiple barriers to an effective resident-fellow teaching interaction in the setting of inpatient consultation. We designed and evaluated a resident-directed intervention to enhance communication and teaching during consultation on the general medicine wards. METHODS: Five medical teams were randomized to receive the intervention over a 3 month period (3 control, 2 intervention teams)...
October 20, 2016: BMC Medical Education
Emilie Venables, Jeffrey K Edwards, Saar Baert, William Etienne, Kelly Khabala, Helen Bygrave
INTRODUCTION: The number of people on antiretroviral therapy (ART) for the long-term management of HIV in low- and middle-income countries (LMICs) is continuing to increase, along with the prevalence of Non-Communicable Diseases (NCDs). The need to provide large volumes of HIV patients with ART has led to significant adaptations in how medication is delivered, but access to NCD care remains limited in many contexts. Medication Adherence Clubs (MACs) were established in Kibera, Kenya to address the large numbers of patients requiring chronic HIV and/or NCD care...
2016: PloS One
Yasheng Chen, Rajat Dhar, Laura Heitsch, Andria Ford, Israel Fernandez-Cadenas, Caty Carrera, Joan Montaner, Weili Lin, Dinggang Shen, Hongyu An, Jin-Moo Lee
Although cerebral edema is a major cause of death and deterioration following hemispheric stroke, there remains no validated biomarker that captures the full spectrum of this critical complication. We recently demonstrated that reduction in intracranial cerebrospinal fluid (CSF) volume (∆ CSF) on serial computed tomography (CT) scans provides an accurate measure of cerebral edema severity, which may aid in early triaging of stroke patients for craniectomy. However, application of such a volumetric approach would be too cumbersome to perform manually on serial scans in a real-world setting...
2016: NeuroImage: Clinical
Peter A Bos
Variation in the quality of parental care has a tremendous impact on a child's social-emotional development. Research investigating the predictors of this variability in human caregiving behavior has mostly focused on learning mechanisms. Evidence is currently accumulating for the complementary underlying role of steroid hormones and neuropeptides. An overview is provided of the hormones and neuropeptides relevant for human caregiving behavior. Then the developmental factors are described that stimulate variability in sensitivity to these hormones and neuropeptides, which may result in variability in the behavioral repertoire of caregiving...
October 20, 2016: Development and Psychopathology
Yun Lin, Chao Wang, Jiaxing Wang, Zheng Dou
Cognitive radio sensor networks are one of the kinds of application where cognitive techniques can be adopted and have many potential applications, challenges and future research trends. According to the research surveys, dynamic spectrum access is an important and necessary technology for future cognitive sensor networks. Traditional methods of dynamic spectrum access are based on spectrum holes and they have some drawbacks, such as low accessibility and high interruptibility, which negatively affect the transmission performance of the sensor networks...
October 12, 2016: Sensors
Farzaneh Karimi-Alavijeh, Saeed Jalili, Masoumeh Sadeghi
BACKGROUND: Metabolic syndrome which underlies the increased prevalence of cardiovascular disease and Type 2 diabetes is considered as a group of metabolic abnormalities including central obesity, hypertriglyceridemia, glucose intolerance, hypertension, and dyslipidemia. Recently, artificial intelligence based health-care systems are highly regarded because of its success in diagnosis, prediction, and choice of treatment. This study employs machine learning technics for predict the metabolic syndrome...
May 2016: ARYA Atherosclerosis
Anna-Lisa Vollmer, Britta Wrede, Katharina J Rohlfing, Pierre-Yves Oudeyer
One of the big challenges in robotics today is to learn from human users that are inexperienced in interacting with robots but yet are often used to teach skills flexibly to other humans and to children in particular. A potential route toward natural and efficient learning and teaching in Human-Robot Interaction (HRI) is to leverage the social competences of humans and the underlying interactional mechanisms. In this perspective, this article discusses the importance of pragmatic frames as flexible interaction protocols that provide important contextual cues to enable learners to infer new action or language skills and teachers to convey these cues...
2016: Frontiers in Neurorobotics
Judit Lám, Gergő Merész, Gyula Bakacsi, Éva Belicza, Cecília Surján, Erika Takács
INTRODUCTION: The accreditation system for health care providers was developed in Hungary aiming to increase safety, efficiency, and efficacy of care and optimise its organisational operation. AIM: The aim of this study was to assess changes of organisational culture in pilot institutes of the accreditation program. METHOD: 7 volunteer pilot institutes using an internationally validated questionnaire were included. The impact study was performed in 2 rounds: the first before the introduction of the accreditation program, and the second a year later, when the standards were already known...
October 2016: Orvosi Hetilap
Evangelia I Zacharaki, Iosif Mporas, Kyriakos Garganis, Vasileios Megalooikonomou
Epileptiform discharges in interictal electroencephalography (EEG) form the mainstay of epilepsy diagnosis and localization of seizure onset. Visual analysis is rater-dependent and time consuming, especially for long-term recordings, while computerized methods can provide efficiency in reviewing long EEG recordings. This paper presents a machine learning approach for automated detection of epileptiform discharges (spikes). The proposed method first detects spike patterns by calculating similarity to a coarse shape model of a spike waveform and then refines the results by identifying subtle differences between actual spikes and false detections...
June 2016: Brain Informatics
Cao Xiao, Jesse Bledsoe, Shouyi Wang, Wanpracha Art Chaovalitwongse, Sonya Mehta, Margaret Semrud-Clikeman, Thomas Grabowski
Today, diagnosis of attention deficit hyperactivity disorder (ADHD) still primarily relies on a series of subjective evaluations that highly rely on a doctor's experiences and intuitions from diagnostic interviews and observed behavior measures. An accurate and objective diagnosis of ADHD is still a challenge and leaves much to be desired. Many children and adults are inappropriately labeled with ADHD conditions, whereas many are left undiagnosed and untreated. Recent advances in neuroimaging studies have enabled us to search for both structural (e...
September 2016: Brain Informatics
Shanshan Wang, Jianbo Liu, Xi Peng, Pei Dong, Qiegen Liu, Dong Liang
Compressed sensing magnetic resonance imaging (CSMRI) employs image sparsity to reconstruct MR images from incoherently undersampled K-space data. Existing CSMRI approaches have exploited analysis transform, synthesis dictionary, and their variants to trigger image sparsity. Nevertheless, the accuracy, efficiency, or acceleration rate of existing CSMRI methods can still be improved due to either lack of adaptability, high complexity of the training, or insufficient sparsity promotion. To properly balance the three factors, this paper proposes a two-layer tight frame sparsifying (TRIMS) model for CSMRI by sparsifying the image with a product of a fixed tight frame and an adaptively learned tight frame...
2016: BioMed Research International
Antonio Mazzella, Anne Olland, Pierre Emmanuel Falcoz, Stephane Renaud, Nicola Santelmo, Gilbert Massard
BACKGROUND: This study evaluates the number of video-assisted thoracic surgery-lobectomies (VATS-lobectomies) required for an experienced consultant thoracic surgeon to obtain competence and to perform standard quality surgery. METHODS: We have analysed the initial VATS-experience (January 2012 to September 2014) of a confirmed senior consultant who has performed 145 consecutive anatomic resections by thoracoscopy. After excluding bilobectomies, segmentectomies, and lobectomies for infectious disease, we have focused into 119 consecutive lobectomies, classified into 4 chronologic groups of 30 each...
September 2016: Journal of Thoracic Disease
Ritva Heljasvaara, Mari Aikio, Heli Ruotsalainen, Taina Pihlajaniemi
Collagen XVIII is a ubiquitous basement membrane (BM) proteoglycan produced in three tissue-specific isoforms that differ in their N-terminal non-collagenous sequences, but share collagenous and C-terminal non-collagenous domains. The collagenous domain provides flexibility to the large collagen XVIII molecules on account of multiple interruptions in collagenous sequences. Each isoform has a complex multi-domain structure that endows it with an ability to perform various biological functions. The long isoform contains a frizzled-like (Fz) domain with Wnt-inhibiting activity and a unique domain of unknown function (DUF959), which is also present in the medium isoform...
October 13, 2016: Matrix Biology: Journal of the International Society for Matrix Biology
Andrew Vo, Ken N Seergobin, Penny A MacDonald
Dopaminergic therapy has been shown to worsen some cognitive functions, particularly learning, in Parkinson's disease (PD). This has been attributed to dopamine overdose of brain regions that are relatively dopamine replete. Dopamine dosages are titrated to the severely depleted dorsal striatum (DS). According to this account, dopaminergic therapy should worsen cognitive functions in healthy young adults who have normal dopamine levels. As a critical test of the dopamine overdose hypothesis, we tested the effect of levodopa on learning stimulus-response associations and on performing stimulus-specific responses once these associations were learned...
October 12, 2016: Behavioural Brain Research
Maria Dadarlat, Philip Sabes
Naturalistic control of brain-machine interfaces will require artificial proprioception, potentially delivered via intracortical microstimulation (ICMS).We have previously shown that multi-channel ICMS can guide a monkey reaching to unseen targets in a planar workspace. Here, we expand on that work, asking how ICMS is decoded into target angle and distance by analyzing the performance of a monkey when ICMS feedback was degraded. From the resulting pattern of errors, we found that the animal's estimate of target direction was consistent with a weighted circular-mean strategy-close to the optimal decoding strategy given the ICMS encoding...
October 11, 2016: IEEE Transactions on Haptics
Yan Li, Ruiping Wang, Zhen Cui, Shiguang Shan, Xilin Chen
We address the problem of face video retrieval in TV-series which searches video clips based on the presence of specific character, given one face track of his/her. This is tremendously challenging because on one hand, faces in TV-series are captured in largely uncontrolled conditions with complex appearance variations, and on the other hand retrieval task typically needs efficient representation with low time and space complexity. To handle this problem, we propose a compact and discriminative representation for the huge body of video data, named Compact Video Code (CVC)...
October 10, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
M J Paldino, F Golriz, M L Chapieski, W Zhang, Z D Chu
BACKGROUND AND PURPOSE: The biologic basis for intelligence rests to a large degree on the capacity for efficient integration of information across the cerebral network. We aimed to measure the relationship between network architecture and intelligence in the pediatric, epileptic brain. MATERIALS AND METHODS: Patients were retrospectively identified with the following: 1) focal epilepsy; 2) brain MR imaging at 3T, including resting-state functional MR imaging; and 3) full-scale intelligence quotient measured by a pediatric neuropsychologist...
October 13, 2016: AJNR. American Journal of Neuroradiology
Glòria Jodar I Solà, Joan Gené I Badia, Pilar Delgado Hito, M Antonia Campo Osaba, Jose Luís Del Val García
BACKGROUND: The concept of leadership has been studied in various disciplines and from different theoretical approaches. It is a dynamic concept that evolves over time. There are few studies in our field on managers' self-perception of their leadership style. There are no pure styles, but one or another style is generally favoured to a greater or lesser degree. In the primary health care (PHC) setting, managers' leadership style is defined as a set of attitudes, behaviours, beliefs and values...
October 12, 2016: BMC Health Services Research
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