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https://www.readbyqxmd.com/read/28651217/modeling-in-sewer-transformations-at-catchment-scale-implications-on-drug-consumption-estimates-in-wastewater-based-epidemiology
#1
Ann-Kathrin McCall, Rocco Palmitessa, Frank Blumensaat, Eberhard Morgenroth, Christoph Ort
To which extent illicit drugs are transformed during in-sewer transport, depends on a number of factors: i) substance-specific transformation rates, ii) environmental conditions, iii) point of discharge (location of drug user) and iv) sewer network properties, primarily hydraulic residence time (HRT) and the ratio of biofilm contact area to wastewater volume (A/Veq). Assessing associated uncertainties typically requires numerous simulations. Therefore, we propose a new two-step modeling framework: 1) Quantify hydrodynamic conditions...
May 20, 2017: Water Research
https://www.readbyqxmd.com/read/28651151/assessment-methods-and-schedules-for-collecting-daily-process-data-on-substance-use-related-health-behaviors-a-randomized-control-study
#2
Anne Buu, Lynn S Massey, Maureen A Walton, James A Cranford, Marc A Zimmerman, Rebecca M Cunningham
BACKGROUND: Interactive voice response (IVR) and short message service (SMS) systems have been used to collect daily process data on substance use. Yet, their relative compliance, use patterns, and user experiences are unknown. Furthermore, recent studies presented the potential of a hybrid weekly protocol requiring recall of behaviors in past week right after the weekend, in order to reduce the concerns about low compliance and measurement reactivity associated with daily data collection and also provide high quality data on the peak of use...
June 13, 2017: Drug and Alcohol Dependence
https://www.readbyqxmd.com/read/28650817/memaxes-visualization-and-analytics-for-characterizing-complex-memory-performance-behaviors
#3
Adolfo Alfredo Gimenez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
Memory performance is often a major bottleneck for high-performance computing (HPC) applications. Deepening memory hierarchies, complex memory management, and non-uniform access times have made memory performance behavior difficult to characterize, and users require novel, sophisticated tools to analyze and optimize this aspect of their codes. Existing tools target only specific factors of memory performance, such as hardware layout, allocations, or access instructions. However, today's tools do not suffice to characterize the complex relationships between these factors...
June 22, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28650798/coherent-semantic-visual-indexing-for-large-scale-image-retrieval-in-the-cloud
#4
Richang Hong, Lei Li, Junjie Cai, Dapeng Tao, Meng Wang, Qi Tian
The rapidly increasing number of images on the internet has further increased the need for efficient indexing for digital image searching of large databases. The design of a cloud service that provides high efficiency but compact image indexing remains challenging, partly due to the well-known semantic gap between user queries and the rich semantics of large-scale data sets. In this paper, we construct a novel joint semantic-visual space by leveraging visual descriptors and semantic attributes, which narrows the semantic gap by combining both attributes and indexing into a single framework...
September 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28650611/integrating-target-responsive-hydrogel-with-pressuremeter-readout-enables-simple-sensitive-user-friendly-quantitative-point-of-care-testing
#5
Dan Liu, Shasha Jia, Huimin Zhang, Yanli Ma, Zhichao Guan, Jiuxing Li, Zhi Zhu, Tianhai Ji, Chaoyong James Yang
Point-of-care testing (POCT) with the advantages of speed, simplicity, and low cost, as well as no need for instrumentation is critical for the measurement of analytes in a variety of environments lacking access to laboratory infrastructure. In the present study, a hydrogel pressure-based assay for quantitative POCT was developed by integrating a target-responsive hydrogel with pressuremeter readout. The target-responsive hydrogels were constructed with DNA grafted linear polyacrylamide and the crosslinking DNA for selective target recognition...
June 26, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28650461/a-light-and-calcium-gated-transcription-factor-for-imaging-and-manipulating-activated-neurons
#6
Wenjing Wang, Craig P Wildes, Tanyaporn Pattarabanjird, Mateo I Sanchez, Gordon F Glober, Gillian A Matthews, Kay M Tye, Alice Y Ting
Activity remodels neurons, altering their molecular, structural, and electrical characteristics. To enable the selective characterization and manipulation of these neurons, we present FLARE, an engineered transcription factor that drives expression of fluorescent proteins, opsins, and other genetically encoded tools only in the subset of neurons that experienced activity during a user-defined time window. FLARE senses the coincidence of elevated cytosolic calcium and externally applied blue light, which together produce translocation of a membrane-anchored transcription factor to the nucleus to drive expression of any transgene...
June 26, 2017: Nature Biotechnology
https://www.readbyqxmd.com/read/28650222/understanding-nomophobia-structural-equation-modeling-and-semantic-network-analysis-of-smartphone-separation-anxiety
#7
Seunghee Han, Ki Joon Kim, Jang Hyun Kim
This study explicates nomophobia by developing a research model that identifies several determinants of smartphone separation anxiety and by conducting semantic network analyses on smartphone users' verbal descriptions of the meaning of their smartphones. Structural equation modeling of the proposed model indicates that personal memories evoked by smartphones encourage users to extend their identity onto their devices. When users perceive smartphones as their extended selves, they are more likely to get attached to the devices, which, in turn, leads to nomophobia by heightening the phone proximity-seeking tendency...
June 26, 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28650193/evaluation-of-an-open-access-cbt-based-internet-program-for-social-anxiety-patterns-of-use-retention-and-outcomes
#8
M Taylor Dryman, Lisa M McTeague, Thomas M Olino, Richard G Heimberg
OBJECTIVE: Internet-delivered cognitive-behavioral therapy (ICBT) has been established as both efficacious and effective in reducing symptoms of social anxiety. However, most research has been conducted in controlled settings, and little is known regarding the utility of such programs in an open-access format. The present study examined the use, adherence, and effectiveness of Joyable, an open-access, Internet-delivered, coach-supported CBT-based intervention for social anxiety. METHOD: Participants were 3,384 registered users (Mage [SD] = 29...
June 26, 2017: Journal of Consulting and Clinical Psychology
https://www.readbyqxmd.com/read/28648396/25-years-of-serving-the-community-with-ribosomal-rna-gene-reference-databases-and-tools
#9
Frank Oliver Glöckner, Pelin Yilmaz, Christian Quast, Jan Gerken, Alan Beccati, Andreea Ciuprina, Gerrit Bruns, Pablo Yarza, Jörg Peplies, Ralf Westram, Wolfgang Ludwig
SILVA (lat. forest) is a comprehensive web resource, providing services around up to date, high-quality datasets of aligned ribosomal RNA gene (rDNA) sequences from the Bacteria, Archaea, and Eukaryota domains. SILVA dates back to the year 1991 when Dr. Wolfgang Ludwig from the Technical University Munich started the integrated software workbench ARB (lat. tree) to support high-quality phylogenetic inference and taxonomy based on the SSU and LSU rDNA marker genes. At that time, the ARB project maintained both, the sequence reference datasets and the software package for data analysis...
June 22, 2017: Journal of Biotechnology
https://www.readbyqxmd.com/read/28647947/continuous-glucose-monitoring-in-pediatrics-the-gap-between-potential-benefits-and-the-reality-of-utility
#10
Regina L Taddeo, Joanne T Moser, Pantea P Minnock
Continuous Glucose Monitoring (CGM) is rapidly becoming a standard of care in the management of Type 1 diabetes (T1D). Today's devices are nearly as accurate as home glucose meters. They provide glucose data every 5 minutes, alert to high and low blood glucose levels, and allow for remote monitoring of a user's glucose data and patterns. Use of CGM has many benefits including support for tighter glycemic control without increasing the risk for hypoglycemia. There is however emerging evidence of some negative aspects associated with using CGM, which may result in decreased utilization of the device as well as a decline in quality of life, especially in the pediatric population...
June 2017: Pediatric Endocrinology Reviews: PER
https://www.readbyqxmd.com/read/28647723/a-retrospective-cohort-study-of-high-impact-users-among-patients-with-cerebrovascular-conditions
#11
Ahsan Rao, Alice Jones, Alex Bottle, Ara Darzi, Paul Aylin
OBJECTIVE: To apply group-based trajectory modelling (GBTM) to the hospital administrative data to evaluate, model and visualise trends and changes in the frequency of long-term hospital care use of the subgroups of patients with cerebrovascular conditions. DESIGN: A retrospective cohort study of patients with cerebrovascular conditions. SETTINGS: Secondary care of all patients with cerebrovascular conditions admitted to English National Hospital Service hospitals...
June 24, 2017: BMJ Open
https://www.readbyqxmd.com/read/28647475/advanced-cell-classifier-user-friendly-machine-learning-based-software-for-discovering-phenotypes-in-high-content-imaging-data
#12
Filippo Piccinini, Tamas Balassa, Abel Szkalisity, Csaba Molnar, Lassi Paavolainen, Kaisa Kujala, Krisztina Buzas, Marie Sarazova, Vilja Pietiainen, Ulrike Kutay, Kevin Smith, Peter Horvath
High-content, imaging-based screens now routinely generate data on a scale that precludes manual verification and interrogation. Software applying machine learning has become an essential tool to automate analysis, but these methods require annotated examples to learn from. Efficiently exploring large datasets to find relevant examples remains a challenging bottleneck. Here, we present Advanced Cell Classifier (ACC), a graphical software package for phenotypic analysis that addresses these difficulties. ACC applies machine-learning and image-analysis methods to high-content data generated by large-scale, cell-based experiments...
June 16, 2017: Cell Systems
https://www.readbyqxmd.com/read/28647456/improved-recovery-of-functionally-active-eosinophils-and-neutrophils-using-novel-immunomagnetic-technology
#13
Kiho Son, Manali Mukherjee, Brendan A S McIntyre, Jose C Eguez, Katherine Radford, Nicola LaVigne, Caroline Ethier, Francis Davoine, Luke Janssen, Paige Lacy, Parameswaran Nair
Clinically relevant and reliable reports derived from in vitro research are dependent on the choice of cell isolation protocols adopted between different laboratories. Peripheral blood eosinophils are conventionally isolated using density-gradient centrifugation followed by immunomagnetic selection (positive/negative) while neutrophils follow a more simplified dextran-sedimentation methodology. With the increasing sophistication of molecular techniques, methods are now available that promise protocols with reduced user-manipulations, improved efficiency, and better yield without compromising the purity of enriched cell populations...
June 21, 2017: Journal of Immunological Methods
https://www.readbyqxmd.com/read/28647426/age-related-changes-in-structural-connectivity-are-improved-using-subject-specific-thresholding
#14
Corinna M Bauer, Lauren E Zajac, Bang-Bon Koo, Ronald J Killiany, Lotfi B Merabet
BACKGROUND: Deterministic diffusion tractography obtained from high angular resolution diffusion imaging (HARDI) requires user-defined quantitative anisotropy (QA) thresholds. Most studies employ a common threshold across all subjects even though there is a strong degree of individual variation within groups. We sought to explore whether it would be beneficial to use individual thresholds in order to accommodate individual variance. To do this, we conducted two independent experiments...
June 21, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28647425/use-of-antibiotics-and-the-prevalence-of-antibiotic-associated-diarrhoea-in-patients-with-spinal-cord-injuries-an-international-multicentre-centre-study
#15
Samford Wong, Piera Santullo, Shashivadan P Hirani, Naven Kumar, Joy R Chowdhury, Angel García-Forcada, Marta Recio, Fátima Paz, Ineta Zobina, Sreedhar Kolli, Carlotte Kiekens, Nathalie Draulans, Ellen Roels, Janneke Martens-Bijlsma, Jean O'Driscoll, Ali Jamous, Mofid Saif
BACKGROUND: Little is known about the use of antibiotics and the extent of antibiotic-associated diarrhoea (AAD) in spinal cord injury (SCI) patients. AIMS: To (1) record the use of antibiotics; (2) establish the prevalence of AAD and Clostridium difficile infection (CDI) and (3) assess whether there was any seasonal variation in antibiotic use and incidence of AAD. METHODS: A retrospective study was conducted in six European SCI centres during October 2014 to June 2015...
June 21, 2017: Journal of Hospital Infection
https://www.readbyqxmd.com/read/28646877/sbmlmod-a-python-based-web-application-and-web-service-for-efficient-data-integration-and-model-simulation
#16
Sascha Schäuble, Anne-Kristin Stavrum, Mathias Bockwoldt, Pål Puntervoll, Ines Heiland
BACKGROUND: Systems Biology Markup Language (SBML) is the standard model representation and description language in systems biology. Enriching and analysing systems biology models by integrating the multitude of available data, increases the predictive power of these models. This may be a daunting task, which commonly requires bioinformatic competence and scripting. RESULTS: We present SBMLmod, a Python-based web application and service, that automates integration of high throughput data into SBML models...
June 24, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28646874/cmsa-a-heterogeneous-cpu-gpu-computing-system-for-multiple-similar-rna-dna-sequence-alignment
#17
Xi Chen, Chen Wang, Shanjiang Tang, Ce Yu, Quan Zou
BACKGROUND: The multiple sequence alignment (MSA) is a classic and powerful technique for sequence analysis in bioinformatics. With the rapid growth of biological datasets, MSA parallelization becomes necessary to keep its running time in an acceptable level. Although there are a lot of work on MSA problems, their approaches are either insufficient or contain some implicit assumptions that limit the generality of usage. First, the information of users' sequences, including the sizes of datasets and the lengths of sequences, can be of arbitrary values and are generally unknown before submitted, which are unfortunately ignored by previous work...
June 24, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28646369/impacts-of-a-temporary-urban-pop-up-park-on-physical-activity-and-other-individual-and-community-level-outcomes
#18
Deborah Salvo, Jorge A Banda, Jylana L Sheats, Sandra J Winter, Daniela Lopes Dos Santos, Abby C King
Physical inactivity is a known risk factor for obesity and a number of chronic diseases. Modifying the physical features of neighborhoods to provide residents with equitable and convenient access to spaces for physical activity (PA) is a promising strategy for promoting PA. Public urban recreation spaces (e.g., parks) play an important role in promoting PA and are potentially an important neighborhood element for optimizing social capital and liveability in cities. Most studies examining the effects of park availability and use on PA have focused on traditional, permanent parks...
June 23, 2017: Journal of Urban Health: Bulletin of the New York Academy of Medicine
https://www.readbyqxmd.com/read/28645842/opennft-an-open-source-python-matlab-framework-for-real-time-fmri-neurofeedback-training-based-on-activity-connectivity-and-multivariate-pattern-analysis
#19
Yury Koush, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergei Bibikov, Frank Scharnowski, Artem Nikonorov, Dimitri Van De Ville
Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising clinical applications. Because of the rapid technical developments of MRI techniques and the availability of high-performance computing, new methodological advances in rt-fMRI neurofeedback become possible. Here we outline the core components of a novel open-source neurofeedback framework, termed Open NeuroFeedback Training (OpenNFT), which efficiently integrates these new developments...
June 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/28645058/promoting-physical-activity-in-high-poverty-neighborhood-parks-a-cluster-randomized-controlled-trial
#20
Deborah A Cohen, Bing Han, Kathryn P Derose, Stephanie Williamson, Terry Marsh, Laura Raaen, Thomas L McKenzie
Although physical activity can help mitigate or prevent multiple chronic diseases, most people in the U.S., especially high-poverty minority groups, engage in insufficient levels of physical activity. To test ways to promote more physical activity in high-poverty area public parks we conducted a randomized controlled intervention trial. After completing baseline measures of park-based physical activity using systematic direct observation three times/day each month for six months and assessing preferences for park programming among 1445 residents living within 1 mile of study parks, we randomized 48 parks in high poverty neighborhoods in the City of Los Angeles, California during 2013-2014 to four study arms: 1) free physical activity classes over a 6-month period, 2) a frequent user program where participants could win prizes based upon the number of visits they made to the park, 3) both the programs, and 4) neither one (control condition)...
June 3, 2017: Social Science & Medicine
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