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https://www.readbyqxmd.com/read/28346795/understanding-the-emission-impacts-of-hov-to-hot-lane-conversions-experience-from-atlanta-ga
#1
Yanzhi Ann Xu, Haobing Liu, Michael O Rodgers, Angshuman Guin, Michael Hunter, Adnan Sheikh, Randall L Guensler
Converting a congested High Occupancy Vehicle (HOV) lane into a High Occupancy Toll (HOT) lane is a viable option for improving travel time reliability for carpools and buses that use the managed lane. However, the emission impacts of HOV-to-HOT-conversions are not well understood. The lack of emissions impact quantification for HOT conversions creates a policy challenge for agencies making transportation funding choices. The goal of this paper is to evaluate the case study before-and-after changes in vehicle emissions for the Atlanta, GA I-85 HOV/HOT lane conversion project, implemented in October, 2011...
March 27, 2017: Journal of the Air & Waste Management Association
https://www.readbyqxmd.com/read/28342962/intellectual-evaluation-of-children-exposed-to-phthalate-tainted-products-after-the-2011-taiwan-phthalate-episode
#2
Po-Chin Huang, Chih-Hsin Tsai, Chu-Chih Chen, Ming-Tsang Wu, Mei-Lien Chen, Shu-Li Wang, Bai-Hsiun Chen, Ching-Chang Lee, Jouni J K Jaakkola, Wen-Chiu Wu, Min-Kung Chen, Chao A Hsiung, Rapit Group
INTRODUCTION: Phthalate exposure may reduce intellectual development in young children. In 2011, numerous Taiwanese children had been reported to have consumed phthalate-tainted products. We investigated the effects of phthalate exposure on the intellectual development of these children after the 2011 Taiwan di-2-ethylhexyl phthalate (DEHP) episode. METHODS: We recruited 204 children, aged 3-12 y, from 3 hospitals in Taiwan between 2012 and 2013. First-morning urine samples were collected for analyzing 5 phthalate metabolites...
March 23, 2017: Environmental Research
https://www.readbyqxmd.com/read/28342918/evidence-of-the-impact-of-visuo-spatial-processing-on-magnitude-representation-in-22q11-2-microdeletion-syndrome
#3
Lucie Attout, Marie-Pascale Noël, Line Vossius, Laurence Rousselle
The influence of visuo-spatial skills on numerical magnitude processing is the subject of a long-standing debate. As most of the numerical and non-numerical magnitude abilities underpinning mathematical development are visual by nature, they are often assessed in the visual modality, thereby confusing visuo-spatial and numerical processing. In order to assess the influence of visuo-spatial processing on numerical magnitude representation, we examined magnitude processing in patients with 22q11.2 deletion syndrome (22q11DS), a genetic condition characterized by a cognitive profile with a relative weakness in visuo-spatial abilities but with preserved verbal abilities...
March 22, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28335471/mobile-phonocardiogram-diagnosis-in-newborns-using-support-vector-machine
#4
Amir Mohammad Amiri, Mohammadreza Abtahi, Nick Constant, Kunal Mankodiya
Phonocardiogram (PCG) monitoring on newborns is one of the most important and challenging tasks in the heart assessment in the early ages of life. In this paper, we present a novel approach for cardiac monitoring applied in PCG data. This basic system coupled with denoising, segmentation, cardiac cycle selection and classification of heart sound can be used widely for a large number of the data. This paper describes the problems and additional advantages of the PCG method including the possibility of recording heart sound at home, removing unwanted noises and data reduction on a mobile device, and an intelligent system to diagnose heart diseases on the cloud server...
March 18, 2017: Healthcare (Basel, Switzerland)
https://www.readbyqxmd.com/read/28334644/low-level-inorganic-arsenic-exposure-and-neuropsychological-functioning-in-american-indian-elders
#5
Clint R Carroll, Carolyn Noonan, Eva M Garroutte, Ana Navas-Acien, Steven P Verney, Dedra Buchwald
BACKGROUND: Inorganic arsenic at high and prolonged doses is highly neurotoxic. Few studies have evaluated whether long-term, low-level arsenic exposure is associated with neuropsychological functioning in adults. OBJECTIVES: To investigate the association between long-term, low-level inorganic arsenic exposure and neuropsychological functioning among American Indians aged 64-95. METHODS: We assessed 928 participants in the Strong Heart Study by using data on arsenic species in urine samples collected at baseline (1989-1991) and results of standardized tests of global cognition, executive functioning, verbal learning and memory, fine motor functioning, and speed of mental processing administered during comprehensive follow-up evaluations in 2009-2013...
March 18, 2017: Environmental Research
https://www.readbyqxmd.com/read/28333904/-intestinal-endometriosis-a-case-report
#6
Sławomir Krzemiński
Endometriosis intestines due to its non-specific symptoms can pose diagnostic problems, a lack of or incorrect treatment worsens the quality of life, sometimes leading to serious complications. The differential diagnosis of abdominal pain, especially in patients of reproductive age should be taken disease into account. Often abdominal pain in young women are classified as a functional gastrointestinal disorder, and only carefully collected intelligence allows you to focus on the diagnosis of endometriosis, especially if the symptoms significantly impair quality of life...
March 21, 2017: Polski Merkuriusz Lekarski: Organ Polskiego Towarzystwa Lekarskiego
https://www.readbyqxmd.com/read/28326111/the-korean-version-of-the-schizophrenia-cognition-rating-scale-reliability-and-validity
#7
Eun-Chan Kang, Sung-Jin Kim, Young-Soo Seo, Sung-Soo Jung, Beom-Joo Seo, Jeoung-Whan Ryu, Joo-Cheol Shim, Jung-Joon Moon, Dong-Wook Jeon, Kyoung-Duck Park, Do-Un Jung
OBJECTIVE: This study's aim was to develop and standardize a Korean version (SCoRS-K) of the Schizophrenia Cognition Rating Scale (SCoRS), which is used to evaluate the degree of cognitive dysfunction affecting the everyday functioning of people with schizophrenia. METHODS: Eighty-four schizophrenia patients with stable symptoms who were receiving outpatient treatment and rehabilitation therapy, and 29 demographically matched non-patient controls, participated in the study...
March 2017: Psychiatry Investigation
https://www.readbyqxmd.com/read/28318904/dual-memory-neural-networks-for-modeling-cognitive-activities-of-humans-via-wearable-sensors
#8
Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life as well as build human-aware intelligent agents for practical purposes. However, modeling the human cognitive activity from wearable-sensor data stream is challenging because learning new information often results in loss of previously acquired information, causing a problem known as catastrophic forgetting...
February 20, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28292606/speech-language-and-reading-skills-in-10-year-old-children-with-palatal-clefts-the-impact-of-additional-conditions
#9
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/28286616/a-survey-on-the-relationship-between-emotional-intelligence-and-level-of-depression-and-anxiety-among-women-with-breast-cancer
#10
Nasrin Amirifard, Mehrdad Payandeh, Mehrnoush Aeinfar, Masoud Sadeghi, Edris Sadeghi, Somaye Ghafarpor
Background: Emotional Intelligence (EQ) is positively associated with mental health and it can have a crucial role in mental disorder therapy by suitable coping mechanisms. The present study aimed to evaluate the relationship of EQ with anxiety and depression among the women with breast cancer. Subjects and Methods: During 2013 and in a cross-sectional study, 98 breast cancer patients (14 to 21 years old) entered into the study. For data collection, the following instruments were the Bar-On EQ inventory, Beck Depression Inventory and Cattle Anxiety Inventory...
January 1, 2017: International Journal of Hematology-oncology and Stem Cell Research
https://www.readbyqxmd.com/read/28286478/cortical-alpha-oscillations-predict-speech-intelligibility
#11
Andrew Dimitrijevic, Michael L Smith, Darren S Kadis, David R Moore
Understanding speech in noise (SiN) is a complex task involving sensory encoding and cognitive resources including working memory and attention. Previous work has shown that brain oscillations, particularly alpha rhythms (8-12 Hz) play important roles in sensory processes involving working memory and attention. However, no previous study has examined brain oscillations during performance of a continuous speech perception test. The aim of this study was to measure cortical alpha during attentive listening in a commonly used SiN task (digits-in-noise, DiN) to better understand the neural processes associated with "top-down" cognitive processing in adverse listening environments...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28282936/fault-diagnosis-from-raw-sensor-data-using-deep-neural-networks-considering-temporal-coherence
#12
Ran Zhang, Zhen Peng, Lifeng Wu, Beibei Yao, Yong Guan
Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time domain or frequency domain features from raw time series sensor data. Then, some classifiers are utilized to make diagnosis. However, these conventional fault diagnosis approaches suffer from the expertise of feature selection and they do not consider the temporal coherence of time series data...
March 9, 2017: Sensors
https://www.readbyqxmd.com/read/28282239/the-role-of-teamwork-in-the-analysis-of-big-data-a-study-of-visual-analytics-and-box-office-prediction
#13
Verica Buchanan, Yafeng Lu, Nathan McNeese, Michael Steptoe, Ross Maciejewski, Nancy Cooke
Historically, domains such as business intelligence would require a single analyst to engage with data, develop a model, answer operational questions, and predict future behaviors. However, as the problems and domains become more complex, organizations are employing teams of analysts to explore and model data to generate knowledge. Furthermore, given the rapid increase in data collection, organizations are struggling to develop practices for intelligence analysis in the era of big data. Currently, a variety of machine learning and data mining techniques are available to model data and to generate insights and predictions, and developments in the field of visual analytics have focused on how to effectively link data mining algorithms with interactive visuals to enable analysts to explore, understand, and interact with data and data models...
March 2017: Big Data
https://www.readbyqxmd.com/read/28269622/toward-personalized-and-context-aware-prompting-for-smartphone-based-intervention
#14
Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook
Intervention strategies can help individuals with cognitive impairment to increase adherence to instructions, independence, and activity engagement and reduce errors on everyday instrumental activities of daily living (IADLs) and caregiver burden. However, to be effective, intervention prompts should be given at a time that does not interrupt other important user activities and is more convenient. In this paper, we propose an intelligent personalized intervention system for smartphones. In our approach, we use context and activity awareness to time prompts when they will most likely be viewed and used...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269312/classification-of-eeg-based-mental-fatigue-using-principal-component-analysis-and-bayesian-neural-network
#15
Rifai Chai, Yvonne Tran, Ganesh R Naik, Tuan N Nguyen, Sai Ho Ling, Ashley Craig, Hung T Nguyen
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268841/amp-a-platform-for-managing-and-mining-data-in-the-treatment-of-autism-spectrum-disorder
#16
Erik Linstead, Ryan Burns, Duy Nguyen, David Tyler
We introduce AMP (Autism Management Platform), an integrated health care information system for capturing, analyzing, and managing data associated with the diagnosis and treatment of Autism Spectrum Disorder in children. AMP's mobile application simplifies the means by which parents, guardians, and clinicians can collect and share multimedia data with one another, facilitating communication and reducing data redundancy, while simplifying retrieval. Additionally, AMP provides an intelligent web interface and analytics platform which allow physicians and specialists to aggregate and mine patient data in real-time, as well as give relevant feedback to automatically learn data filtering preferences over time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267549/improved-cancer-detection-in-automated-breast-ultrasound-by-radiologists-using-computer-aided-detection
#17
J C M van Zelst, T Tan, B Platel, M de Jong, A Steenbakkers, M Mourits, A Grivegnee, C Borelli, N Karssemeijer, R M Mann
OBJECTIVE: To investigate the effect of dedicated Computer Aided Detection (CAD) software for automated breast ultrasound (ABUS) on the performance of radiologists screening for breast cancer. METHODS: 90 ABUS views of 90 patients were randomly selected from a multi-institutional archive of cases collected between 2010 and 2013. This dataset included normal cases (n=40) with >1year of follow up, benign (n=30) lesions that were either biopsied or remained stable, and malignant lesions (n=20)...
April 2017: European Journal of Radiology
https://www.readbyqxmd.com/read/28265525/a-study-of-emotional-intelligence-among-postgraduate-medical-students-in-delhi
#18
Rajkrishna Ravikumar, O P Rajoura, Rahul Sharma, Manjeet S Bhatia
CONTEXT: The importance of emotional intelligence (EI) in the successful practice of medicine has been well established. However, efforts to study the same in India, especially in doctors and medical students, are lacking. This study has measured the emotional intelligence of postgraduate medical students in Delhi and aimed to identify some of the factors affecting it. METHODS: A cross-sectional analytical study, using the Schutte's Self-Report Emotional Intelligence Test, to measure the EI of 200 postgraduate medical students of two medical colleges in Delhi...
January 22, 2017: Curēus
https://www.readbyqxmd.com/read/28257459/predictive-value-of-traction-force-measurement-in-vacuum-extraction-development-of-a-multivariate-prognostic-model
#19
Kristina Pettersson, Khurram Yousaf, Jonas Ranstam, Magnus Westgren, Gunilla Ajne
OBJECTIVE: To enable early prediction of strong traction force vacuum extraction. DESIGN: Observational cohort. SETTING: Karolinska University Hospital delivery ward, tertiary unit. POPULATION AND SAMPLE SIZE: Term mid and low metal cup vacuum extraction deliveries June 2012-February 2015, n = 277. METHODS: Traction forces during vacuum extraction were collected prospectively using an intelligent handle...
2017: PloS One
https://www.readbyqxmd.com/read/28256928/performance-assessment-of-human-resource-by-integration-of-hse-and-ergonomics-and-efqm-management-system
#20
Mohsen Sadegh Amalnick, Mansour Zarrin
Purpose The purpose of this paper is to present an integrated framework for performance evaluation and analysis of human resource (HR) with respect to the factors of health, safety, environment and ergonomics (HSEE) management system, and also the criteria of European federation for quality management (EFQM) as one of the well-known business excellence models. Design/methodology/approach In this study, an intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) along with fuzzy data envelopment analysis (FDEA) are developed and employed to assess the performance of the company...
March 13, 2017: International Journal of Health Care Quality Assurance
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