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https://www.readbyqxmd.com/read/28531268/implementation-of-an-integrated-approach-to-the-national-hiv-aids-strategy-for-improving-human-immunodeficiency-virus-care-for-youths
#1
J Dennis Fortenberry, Linda J Koenig, Bill G Kapogiannis, Carrie L Jeffries, Jonathan M Ellen, Craig M Wilson
Importance: Youths aged 13 to 24 years old living with human immunodeficiency virus (HIV) are less likely than adults to receive the health and prevention benefits of HIV treatments, with only a small proportion having achieved sustained viral suppression. These age-related disparities in HIV continuum of care are owing in part to the unique developmental issues of adolescents and young adults as well as the complexity and fragmentation of HIV care and related services. This article summarizes a national, multiagency, and multilevel approach to HIV care for newly diagnosed youths designed to bridge some of these fragmentations by addressing National HIV/AIDS Strategy goals for people living with HIV...
May 22, 2017: JAMA Pediatrics
https://www.readbyqxmd.com/read/28525544/bistability-causality-and-complexity-in-cortical-networks-an-in-vitro-perturbational-study
#2
Mattia D'Andola, Beatriz Rebollo, Adenauer G Casali, Julia F Weinert, Andrea Pigorini, Rosa Villa, Marcello Massimini, Maria V Sanchez-Vives
Measuring the spatiotemporal complexity of cortical responses to direct perturbations provides a reliable index of the brain's capacity for consciousness in humans under both physiological and pathological conditions. Upon loss of consciousness, the complex pattern of causal interactions observed during wakefulness collapses into a stereotypical slow wave, suggesting that cortical bistability may play a role. Bistability is mainly expressed in the form of slow oscillations, a default pattern of activity that emerges from cortical networks in conditions of functional or anatomical disconnection...
May 19, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28505840/evolutionary-fields-can-explain-patterns-of-high-dimensional-complexity-in-ecology
#3
James Wilsenach, Pietro Landi, Cang Hui
One of the properties that make ecological systems so unique is the range of complex behavioral patterns that can be exhibited by even the simplest communities with only a few species. Much of this complexity is commonly attributed to stochastic factors that have very high-degrees of freedom. Orthodox study of the evolution of these simple networks has generally been limited in its ability to explain complexity, since it restricts evolutionary adaptation to an inertia-free process with few degrees of freedom in which only gradual, moderately complex behaviors are possible...
April 2017: Physical Review. E
https://www.readbyqxmd.com/read/28504932/generalizing-pooling-functions-in-cnns-mixed-gated-and-tree
#4
Chen-Yu Lee, Patrick Gallagher, Zhuowen Tu
In this paper, we seek to improve deep neural networks by generalizing the pooling operations that play a central role in the current architectures. We pursue a careful exploration of approaches to allow pooling to learn and to adapt to complex and variable patterns. The two primary directions lie in: (1) learning a pooling function via (two strategies of) combining of max and average pooling, and (2) learning a pooling function in the form of a tree-structured fusion of pooling filters that are themselves learned...
May 12, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28502383/rolling-bearing-fault-diagnosis-using-adaptive-deep-belief-network-with-dual-tree-complex-wavelet-packet
#5
Haidong Shao, Hongkai Jiang, Fuan Wang, Yanan Wang
Automatic and accurate identification of rolling bearing fault categories, especially for the fault severities and compound faults, is a challenge in rotating machinery fault diagnosis. For this purpose, a novel method called adaptive deep belief network (DBN) with dual-tree complex wavelet packet (DTCWPT) is developed in this paper. DTCWPT is used to preprocess the vibration signals to refine the fault characteristics information, and an original feature set is designed from each frequency-band signal of DTCWPT...
May 11, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28500720/casting-away-the-shadows-elucidating-the-role-of-light-mediated-posttranscriptional-control-in-plants
#6
REVIEW
Carlos E Hernando, Carolina Garcia, Julieta L Mateos
Light signals trigger precise changes in gene expression networks that activate distinctive developmental programs in plants. The transcriptome is shaped at different stages, both by the regulation of gene expression and also by posttranscriptional mechanisms that alter the sequence or abundance of the transcripts generated. Posttranscriptional mechanisms have attracted much interest in recent years with the advent of high-throughput technologies and bioinformatics tools. One such posttranscriptional process, alternative splicing, increases proteome diversity without increasing gene number by changing the function of individual proteins, while another, miRNA-mediated gene silencing, fine-tunes the amount of mRNA produced...
May 2017: Photochemistry and Photobiology
https://www.readbyqxmd.com/read/28497026/chchd4-regulates-intracellular-oxygenation-and-perinuclear-distribution-of-mitochondria
#7
Luke W Thomas, Oliver Staples, Mark Turmaine, Margaret Ashcroft
Hypoxia is a characteristic of the tumor microenvironment and is known to contribute to tumor progression and treatment resistance. Hypoxia-inducible factor (HIF) dimeric transcription factors control the cellular response to reduced oxygenation by regulating the expression of genes involved in metabolic adaptation, cell motility, and survival. Alterations in mitochondrial metabolism are not only a downstream consequence of HIF-signaling but mitochondria reciprocally regulate HIF signaling through multiple means, including oxygen consumption, metabolic intermediates, and reactive oxygen species generation...
2017: Frontiers in Oncology
https://www.readbyqxmd.com/read/28495007/a-lightweight-qrs-detector-for-single-lead-ecg-signals-using-a-max-min-difference-algorithm
#8
Diptangshu Pandit, Li Zhang, Chengyu Liu, Samiran Chattopadhyay, Nauman Aslam, Chee Peng Lim
BACKGROUND AND OBJECTIVES: Detection of the R-peak pertaining to the QRS complex of an ECG signal plays an important role for the diagnosis of a patient's heart condition. To accurately identify the QRS locations from the acquired raw ECG signals, we need to handle a number of challenges, which include noise, baseline wander, varying peak amplitudes, and signal abnormality. This research aims to address these challenges by developing an efficient lightweight algorithm for QRS (i.e., R-peak) detection from raw ECG signals...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28494948/microvessel-chaste-an-open-library-for-spatial-modeling-of-vascularized-tissues
#9
James A Grogan, Anthony J Connor, Bostjan Markelc, Ruth J Muschel, Philip K Maini, Helen M Byrne, Joe M Pitt-Francis
Spatial models of vascularized tissues are widely used in computational physiology. We introduce a software library for composing multiscale, multiphysics models for applications including tumor growth, angiogenesis, osteogenesis, coronary perfusion, and oxygen delivery. Composition of such models is time consuming, with many researchers writing custom software. Recent advances in imaging have produced detailed three-dimensional (3D) datasets of vascularized tissues at the scale of individual cells. To fully exploit such data there is an increasing need for software that allows user-friendly composition of efficient, 3D models of vascularized tissues, and comparison of predictions with in vivo or in vitro experiments and alternative computational formulations...
May 9, 2017: Biophysical Journal
https://www.readbyqxmd.com/read/28491032/topological-filtering-of-dynamic-functional-brain-networks-unfolds-informative-chronnectomics-a-novel-data-driven-thresholding-scheme-based-on-orthogonal-minimal-spanning-trees-omsts
#10
Stavros I Dimitriadis, Christos Salis, Ioannis Tarnanas, David E Linden
The human brain is a large-scale system of functionally connected brain regions. This system can be modeled as a network, or graph, by dividing the brain into a set of regions, or "nodes," and quantifying the strength of the connections between nodes, or "edges," as the temporal correlation in their patterns of activity. Network analysis, a part of graph theory, provides a set of summary statistics that can be used to describe complex brain networks in a meaningful way. The large-scale organization of the brain has features of complex networks that can be quantified using network measures from graph theory...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28490773/rapid-face-adaptation-distributes-representation-in-inferior-temporal-cortex-across-time-and-neuronal-dimensions
#11
Abdol-Hossein Vahabie, Mohammad-Reza A Dehaqani, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Hossein Esteky
Neuronal networks of the brain adapt their information processing according to the history of stimuli. Whereas most studies have linked adaptation to repetition suppression, recurrent connections within a network and disinhibition due to adaptation predict more complex response patterns. The main questions of this study are as follows: what is the effect of the selectivity of neurons on suppression/enhancement of neural responses? What are the consequences of adaptation on information representation in neural population and the temporal structure of response patterns? We studied rapid face adaptation using spiking activities of neurons in the inferior-temporal (IT) cortex...
May 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28490541/exosomes-as-mediators-of-the-systemic-adaptations-to-endurance-exercise
#12
Adeel Safdar, Mark A Tarnopolsky
Habitual endurance exercise training is associated with multisystemic metabolic adaptations that lower the risk of inactivity-associated disorders such as obesity and type 2 diabetes mellitus (T2DM). Identification of complex systemic signaling networks responsible for these benefits are of great interest because of their therapeutic potential in metabolic diseases; however, specific signals that modulate the multisystemic benefits of exercise in multiple tissues and organs are only recently being discovered...
May 10, 2017: Cold Spring Harbor Perspectives in Medicine
https://www.readbyqxmd.com/read/28489422/mechanisms-of-automaticity-and-anticipatory-control-in-fluid-intelligence
#13
Arthur W Joyce
The constructs of fluid (Gf) and crystalized (Gc) intelligence represent an early attempt to describe the mechanisms of problem solving in the vertebrate brain. Modern neuroscience demonstrates that problem solving involves interplay between the mechanisms of automaticity and anticipatory control, enabling nature's elegant solution to the challenges animals face in their environment. Studies of neural functioning are making clear the primary role of cortical-subcortical interactions in the manifestation of intelligent behavior in humans and other vertebrates...
May 10, 2017: Applied Neuropsychology. Child
https://www.readbyqxmd.com/read/28487515/auditory-target-and-novelty-processing-in-patients-with-unilateral-hippocampal-sclerosis-a-current-source-density-study
#14
Adrià Vilà-Balló, Clément François, David Cucurell, Júlia Miró, Mercè Falip, Montserrat Juncadella, Antoni Rodríguez-Fornells
The capacity to respond to novel events is crucial for adapting to the constantly changing environment. Here, we recorded 29-channel Event Related Brain Potentials (ERPs) during an active auditory novelty oddball paradigm and used for the first time Current Source Density-transformed Event Related Brain Potentials and associated time-frequency spectra to study target and novelty processing in a group of epileptic patients with unilateral damage of the hippocampus (N = 18) and in healthy matched control participants (N = 18)...
May 9, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28483866/extreme-weather-and-climate-events-with-ecological-relevance-a-review
#15
REVIEW
Caroline C Ummenhofer, Gerald A Meehl
Robust evidence exists that certain extreme weather and climate events, especially daily temperature and precipitation extremes, have changed in regard to intensity and frequency over recent decades. These changes have been linked to human-induced climate change, while the degree to which climate change impacts an individual extreme climate event (ECE) is more difficult to quantify. Rapid progress in event attribution has recently been made through improved understanding of observed and simulated climate variability, methods for event attribution and advances in numerical modelling...
June 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28480991/unraveling-the-multistimuli-responses-of-a-complex-dynamic-system-of-pseudopeptidic-macrocycles
#16
Angel M Valdivielso, Francesc Puig-Castellví, Joan Atcher, Jordi Solà, Romà Tauler, Ignacio Alfonso
Dynamic combinatorial libraries (DCLs) are excellent benchmark models to study the stimuli-responsiveness of chemical networks. However, increasingly complex systems are difficult to analyze with simple data analysis methods, because many variables and connections must be considered for their full understanding. Here we propose the use of multivariate data analysis methods to bisect the evolution of a complex synthetic dynamic library of pseudopeptidic macrocycles, containing side chains with charges of different sign...
May 8, 2017: Chemistry: a European Journal
https://www.readbyqxmd.com/read/28478747/creation-of-a-virtual-antidotes-network-between-pharmacy-departments-of-catalan-hospitals
#17
Raquel Aguilar-Salmerón, Edurne Fernández de Gamarra-Martínez, Milagros García-Peláez, Antoni Broto-Sumalla, Lidia Martínez-Sánchez, Santiago Nogué-Xarau
Objetive: To design a virtual antidote network between hospitals that could help to locate on-line those hospitals that stocked those antidotes with the highest difficulty in terms of availability, and ensured that the medication was loaned in case of necessity. METHODS: The application was developed by four hospital pharmacists and two clinical toxicologists with the support of a Healthcare Informatics Consultant Company. RESULTS: The antidotes network in Catalonia, Spain, was launched in July 2015...
May 1, 2017: Farmacia Hospitalaria
https://www.readbyqxmd.com/read/28477340/a-neural-network-approach-for-fast-automated-quantification-of-dir-performance
#18
John Neylon, Yugang Min, Daniel A Low, Anand Santhanam
PURPOSE: A critical step in adaptive radiotherapy (ART) workflow is deformably registering the simulation CT with the daily or weekly volumetric imaging. Quantifying the deformable image registration accuracy under these circumstances is a complex task due to the lack of known ground-truth landmark correspondences between the source data and target data. Generating landmarks manually (using experts) is time-consuming, and limited by image quality and observer variability. While image similarity metrics (ISM) may be used as an alternative approach to quantify the registration error, there is a need to characterize the ISM values by developing a non-linear cost function and translate them to physical distance measures in order to enable fast, quantitative comparison of registration performance...
May 5, 2017: Medical Physics
https://www.readbyqxmd.com/read/28477278/an-automatic-segmentation-method-of-a-parameter-adaptive-pcnn-for-medical-images
#19
Jing Lian, Bin Shi, Mingcong Li, Ziwei Nan, Yide Ma
PURPOSE: Since pre-processing and initial segmentation steps in medical images directly affect the final segmentation results of the regions of interesting, an automatic segmentation method of a parameter-adaptive pulse-coupled neural network is proposed to integrate the above-mentioned two segmentation steps into one. This method has a low computational complexity for different kinds of medical images and has a high segmentation precision. METHODS: The method comprises four steps...
May 5, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28474389/developmental-functioning-and-medical-co-morbidity-profile-of-children-with-complex-and-essential-autism
#20
Jaimie Flor, Jayne Bellando, Maya Lopez, Amy Shui
Children with Autism Spectrum Disorders (ASD) may be characterized as "complex" (those with microcephaly and/or dysmorphology) or "essential" (those with neither of these two). Previous studies found subjects in the complex group exhibited lower IQ scores, poorer response to behavioral intervention, more seizures and more abnormal EEGs and brain MRIs compared to the essential group. The objective of this study was to determine if there are differences in complex versus essential subjects based on several developmental/psychological measures as well as certain medical comorbidities...
May 5, 2017: Autism Research: Official Journal of the International Society for Autism Research
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