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https://www.readbyqxmd.com/read/28424062/health-system-factors-influencing-management-of-multidrug-resistant-tuberculosis-in-four-european-union-countries-learning-from-country-experiences
#1
Gerard de Vries, Svetla Tsolova, Laura F Anderson, Agnes C Gebhard, Einar Heldal, Vahur Hollo, Laura Sánchez-Cambronero Cejudo, Daniela Schmid, Bert Schreuder, Tonka Varleva, Marieke J van der Werf
BACKGROUND: In the European Union and European Economic Area only 38% of multidrug-resistant tuberculosis patients notified in 2011 completed treatment successfully at 24 months' evaluation. Socio-economic factors and patient factors such as demographic characteristics, behaviour and attitudes are associated with treatment outcomes. Characteristics of healthcare systems also affect health outcomes. This study was conducted to identify and better understand the contribution of health system components to successful treatment of multidrug-resistant tuberculosis...
April 19, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28418457/the-field-of-view-available-to-the-ventral-occipito-temporal-reading-circuitry
#2
Rosemary Le, Nathan Witthoft, Michal Ben-Shachar, Brian Wandell
Skilled reading requires rapidly recognizing letters and word forms; people learn this skill best for words presented in the central visual field. Measurements over the last decade have shown that when children learn to read, responses within ventral occipito-temporal cortex (VOT) become increasingly selective to word forms. We call these regions the VOT reading circuitry (VOTRC). The portion of the visual field that evokes a response in the VOTRC is called the field of view (FOV). We measured the FOV of the VOTRC and found that it is a small subset of the entire field of view available to the human visual system...
April 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/28418441/an-integrated-anti-arrhythmic-target-network-of-a-chinese-medicine-compound-wenxin-keli-revealed-by-combined-machine-learning-and-molecular-pathway-analysis
#3
Taiyi Wang, Ming Lu, Qunqun Du, Xi Yao, Peng Zhang, Xiaonan Chen, Weiwei Xie, Zheng Li, Yuling Ma, Yan Zhu
Wenxin Keli (WK), a Chinese patent medicine, is known to be effective against cardiac arrhythmias and heart failure. Although a number of electrophysiological findings regarding its therapeutic effect have been reported, the active components and system-level characterizations of the component-target interactions of WK have yet to be elucidated. In the current study, we present the first report of a new protective effect of WK on suppressing anti-arrhythmic-agent-induced arrhythmias. In a model of isolated guinea pig hearts, rapid perfusion of quinidine altered the heart rate and prolonged the Q-T interval...
April 18, 2017: Molecular BioSystems
https://www.readbyqxmd.com/read/28414904/in-silico-prediction-of-chemicals-binding-to-aromatase-with-machine-learning-methods
#4
Hanwen Du, Yingchun Cai, Hongbin Yang, Hongxiao Zhang, Yuhan Xue, Guixia Liu, Yun Tang, Weihua Li
Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefore, rapid and efficient identification of aromatase-related endocrine disrupting chemicals (EDCs) is important for toxicology and environment risk assessment. In this study, on the basis of the Tox21 10K compound library, in silico classification models for predicting aromatase binders/non-binders were constructed by machine learning methods...
April 17, 2017: Chemical Research in Toxicology
https://www.readbyqxmd.com/read/28407902/the-prediction-of-food-additives-in-the-fruit-juice-based-on-electronic-nose-with-chemometrics
#5
Shanshan Qiu, Jun Wang
Food additives are added to products to enhance their taste, and preserve flavor or appearance. While their use should be restricted to achieve a technological benefit, the contents of food additives should be also strictly controlled. In this study, E-nose was applied as an alternative to traditional monitoring technologies for determining two food additives, namely benzoic acid and chitosan. For quantitative monitoring, support vector machine (SVM), random forest (RF), extreme learning machine (ELM) and partial least squares regression (PLSR) were applied to establish regression models between E-nose signals and the amount of food additives in fruit juices...
September 1, 2017: Food Chemistry
https://www.readbyqxmd.com/read/28405355/face-familiarity-promotes-stable-identity-recognition-exploring-face-perception-using-serial-dependence
#6
Rebecca Kok, Jessica Taubert, Erik Van der Burg, Gillian Rhodes, David Alais
Studies suggest that familiar faces are processed in a manner distinct from unfamiliar faces and that familiarity with a face confers an advantage in identity recognition. Our visual system seems to capitalize on experience to build stable face representations that are impervious to variation in retinal input that may occur due to changes in lighting, viewpoint, viewing distance, eye movements, etc. Emerging evidence also suggests that our visual system maintains a continuous perception of a face's identity from one moment to the next despite the retinal input variations through serial dependence...
March 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28405214/a-real-time-phenotyping-framework-using-machine-learning-for-plant-stress-severity-rating-in-soybean
#7
Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K Singh, Baskar Ganapathysubramanian
BACKGROUND: Phenotyping is a critical component of plant research. Accurate and precise trait collection, when integrated with genetic tools, can greatly accelerate the rate of genetic gain in crop improvement. However, efficient and automatic phenotyping of traits across large populations is a challenge; which is further exacerbated by the necessity of sampling multiple environments and growing replicated trials. A promising approach is to leverage current advances in imaging technology, data analytics and machine learning to enable automated and fast phenotyping and subsequent decision support...
2017: Plant Methods
https://www.readbyqxmd.com/read/28404854/autologous-stem-cell-transplantation-disrupts-adaptive-immune-responses-during-rebound-shiv-viremia
#8
Daniel B Reeves, Christopher W Peterson, Hans-Peter Kiem, Joshua T Schiffer
Primary HIV-1 infection induces a virus-specific adaptive/cytolytic immune response that impacts plasma viral load setpoint and rate of progression to AIDS. Combination antiretroviral therapy (cART) suppresses plasma viremia to undetectable levels that rebound upon cART treatment interruption. Following cART withdrawal, the memory component of the virus-specific adaptive immune response may improve viral control compared to primary infection. Here, using primary infection and treatment interruption data from macaques infected with simian/human immunodeficiency virus (SHIV), we observe lower peak viral load but unchanged viral setpoint during viral rebound...
April 12, 2017: Journal of Virology
https://www.readbyqxmd.com/read/28400994/pathological-diagnosis-of-gastric-cancers-with-a-novel-computerized-analysis-system
#9
Kosuke Oikawa, Akira Saito, Tomoharu Kiyuna, Hans Peter Graf, Eric Cosatto, Masahiko Kuroda
BACKGROUND: Recent studies of molecular biology have provided great advances for diagnostic molecular pathology. Automated diagnostic systems with computerized scanning for sampled cells in fluids or smears are now widely utilized. Automated analysis of tissue sections is, however, very difficult because they exhibit a complex mixture of overlapping malignant tumor cells, benign host-derived cells, and extracellular materials. Thus, traditional histological diagnosis is still the most powerful method for diagnosis of diseases...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28393106/a-million-variables-and-more-the-fast-greedy-equivalence-search-algorithm-for-learning-high-dimensional-graphical-causal-models-with-an-application-to-functional-magnetic-resonance-images
#10
Joseph Ramsey, Madelyn Glymour, Ruben Sanchez-Romero, Clark Glymour
We describe two modifications that parallelize and reorganize caching in the well-known Greedy Equivalence Search (GES) algorithm for discovering directed acyclic graphs on random variables from sample values. We apply one of these modifications, the Fast Greedy Search (FGS) assuming faithfulness, to an i.i.d. sample of 1,000 units to recover with high precision and good recall an average degree 2 directed acyclic graph (DAG) with one million Gaussian variables. We describe a modification of the algorithm to rapidly find the Markov Blanket of any variable in a high dimensional system...
March 2017: Int J Data Sci Anal
https://www.readbyqxmd.com/read/28386161/interval-probabilistic-neural-network
#11
Piotr A Kowalski, Piotr Kulczycki
Automated classification systems have allowed for the rapid development of exploratory data analysis. Such systems increase the independence of human intervention in obtaining the analysis results, especially when inaccurate information is under consideration. The aim of this paper is to present a novel approach, a neural networking, for use in classifying interval information. As presented, neural methodology is a generalization of probabilistic neural network for interval data processing. The simple structure of this neural classification algorithm makes it applicable for research purposes...
2017: Neural Computing & Applications
https://www.readbyqxmd.com/read/28386011/engrams-and-circuits-crucial-for-systems-consolidation-of-a-memory
#12
Takashi Kitamura, Sachie K Ogawa, Dheeraj S Roy, Teruhiro Okuyama, Mark D Morrissey, Lillian M Smith, Roger L Redondo, Susumu Tonegawa
Episodic memories initially require rapid synaptic plasticity within the hippocampus for their formation and are gradually consolidated in neocortical networks for permanent storage. However, the engrams and circuits that support neocortical memory consolidation have thus far been unknown. We found that neocortical prefrontal memory engram cells, which are critical for remote contextual fear memory, were rapidly generated during initial learning through inputs from both the hippocampal-entorhinal cortex network and the basolateral amygdala...
April 7, 2017: Science
https://www.readbyqxmd.com/read/28384156/how-evolution-learns-to-generalise-using-the-principles-of-learning-theory-to-understand-the-evolution-of-developmental-organisation
#13
Kostas Kouvaris, Jeff Clune, Loizos Kounios, Markus Brede, Richard A Watson
One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic variation to rapidly adapt in novel selective environments. Such variability is crucial for evolvability, but poorly understood. In particular, how can natural selection favour developmental organisations that facilitate adaptive evolution in previously unseen environments? Such a capacity suggests foresight that is incompatible with the short-sighted concept of natural selection. A potential resolution is provided by the idea that evolution may discover and exploit information not only about the particular phenotypes selected in the past, but their underlying structural regularities: new phenotypes, with the same underlying regularities, but novel particulars, may then be useful in new environments...
April 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28382678/recognising-and-responding-to-in-hospital-clinical-deterioration-an-integrative-review-of-interprofessional-practice-issues
#14
REVIEW
Emily Allen, Doug Elliott, Debra Jackson
AIMS AND OBJECTIVES: To identify, appraise and synthesise current evidence regarding organisation-wide interprofessional practice issues that facilitate or inhibit effective recognition and response to clinical deterioration, using a theoretical Rapid Response System (RRS) model. BACKGROUND: Recognition and response to clinical deterioration, in adult general medical-surgical ward patients, is embedded as a routine interprofessional practice in acute healthcare organisations worldwide...
April 5, 2017: Journal of Clinical Nursing
https://www.readbyqxmd.com/read/28369366/banning-shisha-smoking-in-public-places-in-iran-an-advocacy-coalition-framework-perspective-on-policy-process-and-change
#15
Akram Khayatzadeh-Mahani, Eric Breton, Arne Ruckert, Ronald Labonté
Introduction: Shisha smoking is a widespread custom in Iran with a rapidly growing prevalence especially among the youth. In this article, we analyze the policy process of enforcing a federal/state ban on shisha smoking in all public places in Kerman Province, Iran. Guided by the Advocacy Coalition Framework (ACF), we investigate how a shisha smoking ban reached the political agenda in 2011, how it was framed by different policy actors, and why no significant breakthrough took place despite its inclusion on the agenda...
March 27, 2017: Health Policy and Planning
https://www.readbyqxmd.com/read/28364922/understanding-the-policy-environment-for-immunization-supply-chains-lessons-learned-from-landscape-analyses-in-uganda-and-senegal
#16
Henry Luzze, Ousseynou Badiane, El Hadji Mamadou Ndiaye, Annette Seck Ndiaye, Brian Atuhaire, Phionah Atuhebwe, Phillippe Guinot, Erin Fry Sosne, Abdoulaye Gueye
As immunization programs around the world undergo rapid change and expansion, supply chain and logistics systems have become strained, making it increasingly challenging for national public health systems to provide reliable, safe, and efficient access to vaccines. Governments and immunization partners have been aware of this problem for several years, and in 2010, the World Health Organization (WHO) launched the Effective Vaccine Management (EVM) process to help countries identify shortcomings in their immunization supply chains and develop plans for systematic improvement...
April 19, 2017: Vaccine
https://www.readbyqxmd.com/read/28362673/fixed-level-frequency-threshold-testing-for-ototoxicity-monitoring
#17
Catherine C Rieke, Odile H Clavier, Lindsay V Allen, Allison P Anderson, Chris A Brooks, Abigail M Fellows, Douglas S Brungart, Jay C Buckey
OBJECTIVES: Hearing loss from ototoxicity is often most pronounced at high frequencies. To improve patient monitoring and compliance, high-frequency testing methods should be short and easy to administer. We evaluated the repeatability and accuracy of a Békésy-like, fixed-level frequency threshold (FLFT) technique. This test takes less than a minute and could provide a rapid and effective way to determine the highest audible frequency. We hypothesized the FLFT test would be repeatable in normal-hearing subjects, and accurate when compared with Békésy fixed-frequency audiometry in the sensitive region for ototoxicity (SRO)...
March 30, 2017: Ear and Hearing
https://www.readbyqxmd.com/read/28360839/emerging-roles-for-glycogen-in-the-cns
#18
REVIEW
Alice E Waitt, Liam Reed, Bruce R Ransom, Angus M Brown
The ability of glycogen, the depot into which excess glucose is stored in mammals, to act as a source of rapidly available energy substrate, has been exploited by several organs for both general and local advantage. The liver, expressing the highest concentration of glycogen maintains systemic normoglycemia ensuring the brain receives a supply of glucose in excess of demand. However the brain also contains glycogen, although its role is more specialized. Brain glycogen is located exclusively in astrocytes in the adult, with the exception of pathological conditions, thus in order to benefit neurons, and energy conduit (lactate) is trafficked inter-cellularly...
2017: Frontiers in Molecular Neuroscience
https://www.readbyqxmd.com/read/28352218/cinematic-operation-of-the-cerebral-cortex-interpreted-via-critical-transitions-in-self-organized-dynamic-systems
#19
Robert Kozma, Walter J Freeman
Measurements of local field potentials over the cortical surface and the scalp of animals and human subjects reveal intermittent bursts of beta and gamma oscillations. During the bursts, narrow-band metastable amplitude modulation (AM) patters emerge for a fraction of a second and ultimately dissolve to the broad-band random background activity. The burst process depends on previously learnt conditioned stimuli (CS), thus different AM patterns may emerge in response to different CS. This observation leads to our cinematic theory of cognition when perception happens in discrete steps manifested in the sequence of AM patterns...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28347443/digital-disease-detection-a-systematic-review-of-event-based-internet-biosurveillance-systems
#20
Jesse O'Shea
BACKGROUND: Internet access and usage has changed how people seek and report health information. Meanwhile,infectious diseases continue to threaten humanity. The analysis of Big Data, or vast digital data, presents an opportunity to improve disease surveillance and epidemic intelligence. Epidemic intelligence contains two components: indicator based and event-based. A relatively new surveillance type has emerged called event-based Internet biosurveillance systems. These systems use information on events impacting health from Internet sources, such as social media or news aggregates...
May 2017: International Journal of Medical Informatics
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