keyword
MENU ▼
Read by QxMD icon Read
search

machine

keyword
https://www.readbyqxmd.com/read/28535519/development-of-the-new-kibou%C3%A2-equipment-for-continuous-renal-replacement-therapy-from-scratch-to-the-final-configuration
#1
Mauro Neri, Anna Lorenzin, Alessandra Brendolan, Francesco Garzotto, Fiorenza Ferrari, Silvia De Rosa, Raffaele Bonato, Gianluca Villa, Simona Bazzano, Fiorella D''Ippoliti, Zaccaria Ricci, Gaetano La Manna, Claudio Ronco
A new technology has recently appeared in the area of extracorporeal therapies for critically ill patients with acute kidney injury. The International Renal Research Institute of Vicenza was involved from the beginning in the development of a new continuous renal replacement therapy (CRRT) equipment with peculiar characteristics. We report the overall experience from design of the new machine to its in vitro and in vivo testing. Kibou® (Asahi Kasei Kuraray Medical Co., Ltd., Tokyo, Japan) is a new multifunctional machine designed for delivering RRT...
2017: Contributions to Nephrology
https://www.readbyqxmd.com/read/28535516/citrate-anticoagulation-during-continuous-renal-replacement-therapy
#2
Davide Ricci, Laura Panicali, Maria Grazia Facchini, Elena Mancini
During extracorporeal dialysis, some anticoagulation strategy is necessary to prevent the coagulation of blood. Heparin has historically been used as an anticoagulant because of its efficacy combined with low cost. However, a variable incidence of hemorrhagic complications (5-30%) has been documented in patients undergoing continuous renal replacement therapy (CRRT) with heparin as an anticoagulant. Citrate has anticoagulation properties secondary to its ability to chelate calcium, which is necessary for the coagulation cascade...
2017: Contributions to Nephrology
https://www.readbyqxmd.com/read/28535421/differentiation-of-crataegus-spp-guided-by-nuclear-magnetic-resonance-spectrometry-with-chemometric-analyses
#3
Jensen A Lund, Paula N Brown, Paul R Shipley
For compliance with US Current Good Manufacturing Practice regulations for dietary supplements, manufacturers must provide identity of source plant material. Despite the popularity of hawthorn as a dietary supplement, relatively little is known about the comparative phytochemistry of different hawthorn species, and in particular North American hawthorns. The combination of NMR spectrometry with chemometric analyses offers an innovative approach to differentiating hawthorn species and exploring the phytochemistry...
May 20, 2017: Phytochemistry
https://www.readbyqxmd.com/read/28534802/organ-location-determination-and-contour-sparse-representation-for-multi-organ-segmentation
#4
Siqi Li, Huiyan Jiang, Yu-Dong Yao, Benqiang Yang
Organ segmentation on computed tomography (CT) images is of great importance in medical diagnoses and treatment. This paper proposes organ location determination and contour sparse representation methods (OLD-CSR) for multiorgan segmentation (liver, kidney, and spleen) on abdomen CT images using an extreme learning machine (ELM) classifier. First, a location determination method is designed to obtain location information of each organ, which is used for coarse segmentation. Second, for coarse-to-fine segmentation, a contour gradient and rate change based feature point extraction method is proposed...
May 17, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28534798/alzheimer-s-disease-diagnosis-using-landmark-based-features-from-longitudinal-structural-mr-images
#5
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Structural magnetic resonance imaging (MRI) has been proven to be an effective tool for Alzheimer's disease (AD) diagnosis. While conventional MRI-based AD diagnosis typically uses images acquired at a single time point, a longitudinal study is more sensitive in detecting early pathological changes of AD, making it more favorable for accurate diagnosis. In general, there are two challenges faced in MRI-based diagnosis. First, extracting features from structural MR images requires timeconsuming nonlinear registration and tissue segmentation, whereas the longitudinal study with involvement of more scans further exacerbates the computational costs...
May 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28534790/neighborhood-based-stopping-criterion-for-contrastive-divergence
#6
Enrique Romero Merino, Ferran Mazzanti Castrillejo, Jordi Delgado Pin
Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Divergence (CD) learning algorithm, an approximation to the gradient of the data log-likelihood (logL). A simple reconstruction error is often used as a stopping criterion for CD, although several authors have raised doubts concerning the feasibility of this procedure. In many cases, the evolution curve of the reconstruction error is monotonic, while the logL is not, thus indicating that the former is not a good estimator of the optimal stopping point for learning...
May 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534788/rankmap-a-framework-for-distributed-learning-from-dense-data-sets
#7
Azalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, Richard Baraniuk, Farinaz Koushanfar
This paper introduces RankMap, a platform-aware end-to-end framework for efficient execution of a broad class of iterative learning algorithms for massive and dense data sets. Our framework exploits data structure to scalably factorize it into an ensemble of lower rank subspaces. The factorization creates sparse low-dimensional representations of the data, a property which is leveraged to devise effective mapping and scheduling of iterative learning algorithms on the distributed computing machines. We provide two APIs, one matrix-based and one graph-based, which facilitate automated adoption of the framework for performing several contemporary learning applications...
May 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534781/reviving-the-two-state-markov-chain-approach
#8
Andrzej Mizera, Jun Pang, Qixia Yuan
Probabilistic Boolean networks (PBNs) is a well-established computational framework for modelling biological systems. The steady-state dynamics of PBNs is of crucial importance in the study of such systems. However, for large PBNs, which often arise in systems biology, obtaining the steady-state distribution poses a significant challenge. In this paper, we revive the two-state Markov chain approach to solve this problem. This paper contributes in three aspects. First, we identify a problem of generating biased results with the approach and we propose a few heuristics to avoid such a pitfall...
May 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28534767/domain-generalization-and-adaptation-using-low-rank-exemplar-svms
#9
Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool
Domain adaptation between diverse source and target domains is a challenging research problem, especially in the real-world visual recognition tasks where the images and videos consist of significant variations in viewpoints, illuminations, qualities, etc. In this paper, we propose a new approach for domain generalization and domain adaptation based on exemplar SVMs. Specifically, we decompose the source domain into many subdomains, each of which contains only one positive training sample and all negative samples...
May 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28534414/estimating-pm2-5-concentrations-in-the-conterminous-united-states-using-the-random-forest-approach
#10
Xuefei Hu, Jessica Hartmann Belle, Xia Meng, Avani Wildani, Lance Waller, Matthew Strickland, Yang Liu
To estimate PM2.5 concentrations, many parametric regression models have been developed, while non-parametric machine learning algorithms are used less often and national-scale models are rare. In this paper, we develop a random forest model incorporating Aerosol Optical Depth (AOD) data, meteorological fields, and land use variables to estimate daily 24-hour averaged ground level PM2.5 concentrations over the conterminous United States in 2011. Random forests are an ensemble learning method that provides predictions with high accuracy and interpretability...
May 23, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28534335/-consistency-analysis-between-preoperative-ct-enterography-and-intraoperative-findings-in-patients-undergoing-surgery-for-crohn-s-disease
#11
Jianbo Yang, Jianfeng Gong, Yi Li, Lili Gu, Weiming Zhu, Jieshou Li
OBJECTIVE: To evaluate the diagnostic value of preoperative CT enterography (CTE) on obstruction, fistula and abscess formation compared to intraoperative findings in patients undergoing surgery for Crohn's disease(CD), aiming to provide reference to clinical practice. METHODS: Preoperative CTE data of 176 CD patients confirmed by clinic, endoscopy, imaging, operation and pathology at the Department of General Surgery in Nanjing Jinling Hospital from January 2013 to December 2015 were enrolled in retrospective cohort study...
May 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28533960/body-composition-estimation-from-selected-slices-equations-computed-from-a-new-semi-automatic-thresholding-method-developed-on-whole-body-ct%C3%A2-scans
#12
Alizé Lacoste Jeanson, Ján Dupej, Chiara Villa, Jaroslav Brůžek
BACKGROUND: Estimating volumes and masses of total body components is important for the study and treatment monitoring of nutrition and nutrition-related disorders, cancer, joint replacement, energy-expenditure and exercise physiology. While several equations have been offered for estimating total body components from MRI slices, no reliable and tested method exists for CT scans. For the first time, body composition data was derived from 41 high-resolution whole-body CT scans. From these data, we defined equations for estimating volumes and masses of total body AT and LT from corresponding tissue areas measured in selected CT scan slices...
2017: PeerJ
https://www.readbyqxmd.com/read/28533819/the-optimal-crowd-learning-machine
#13
Bilguunzaya Battogtokh, Majid Mojirsheibani, James Malley
BACKGROUND: Any family of learning machines can be combined into a single learning machine using various methods with myriad degrees of usefulness. RESULTS: For making predictions on an outcome, it is provably at least as good as the best machine in the family, given sufficient data. And if one machine in the family minimizes the probability of misclassification, in the limit of large data, then Optimal Crowd does also. That is, the Optimal Crowd is asymptotically Bayes optimal if any machine in the crowd is such...
2017: BioData Mining
https://www.readbyqxmd.com/read/28533766/predicting-the-hma-lma-status-in-marine-sponges-by-machine-learning
#14
Lucas Moitinho-Silva, Georg Steinert, Shaun Nielsen, Cristiane C P Hardoim, Yu-Chen Wu, Grace P McCormack, Susanna López-Legentil, Roman Marchant, Nicole Webster, Torsten Thomas, Ute Hentschel
The dichotomy between high microbial abundance (HMA) and low microbial abundance (LMA) sponges has been observed in sponge-microbe symbiosis, although the extent of this pattern remains poorly unknown. We characterized the differences between the microbiomes of HMA (n = 19) and LMA (n = 17) sponges (575 specimens) present in the Sponge Microbiome Project. HMA sponges were associated with richer and more diverse microbiomes than LMA sponges, as indicated by the comparison of alpha diversity metrics. Microbial community structures differed between HMA and LMA sponges considering Operational Taxonomic Units (OTU) abundances and across microbial taxonomic levels, from phylum to species...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28533733/tobacco-smoke-exposure-reduces-paraoxonase-activity-in-a-murine-model
#15
Robert M Reed, Saif M Borgan, Michael Eberlein, Monica Goldklang, Joshua Lewis, Michael Miller, Mohamad Navab, Bo S Kim
AIM: To demonstrate a direct inhibitory effect of cigarette smoke exposure on paraoxonase 1 activity in a murine in vivo model. METHODS: At 8 weeks old, we randomized 10 C57/bl6 mice to an environment consisting of either filtered air or cigarette smoke for 6 months. Smoke exposure (7 hours per day, 5 days per week) was standardized using a model TE-10 smoking machine and adjusted to maintain constant sidestream and mainstream smoke. After 6 months of exposure, we assessed differences in lung air space, cholesterol, lipid, and lipoprotein profiles, as well as paraoxonase activity in mice exposed to cigarette smoke extract compared to unexposed control mice...
March 2017: International Journal of Biomedical Science: IJBS
https://www.readbyqxmd.com/read/28533700/risk-management-and-regulations-for-lower-limb-medical-exoskeletons-a-review
#16
REVIEW
Yongtian He, David Eguren, Trieu Phat Luu, Jose L Contreras-Vidal
Gait disability is a major health care problem worldwide. Powered exoskeletons have recently emerged as devices that can enable users with gait disabilities to ambulate in an upright posture, and potentially bring other clinical benefits. In 2014, the US Food and Drug Administration approved marketing of the ReWalk™ Personal Exoskeleton as a class II medical device with special controls. Since then, Indego™ and Ekso™ have also received regulatory approval. With similar trends worldwide, this industry is likely to grow rapidly...
2017: Medical Devices: Evidence and Research
https://www.readbyqxmd.com/read/28533372/visualization-and-characterization-of-individual-type-iii-protein-secretion-machines-in-live-bacteria
#17
Yongdeng Zhang, María Lara-Tejero, Jörg Bewersdorf, Jorge E Galán
Type III protein secretion machines have evolved to deliver bacterially encoded effector proteins into eukaryotic cells. Although electron microscopy has provided a detailed view of these machines in isolation or fixed samples, little is known about their organization in live bacteria. Here we report the visualization and characterization of the Salmonella type III secretion machine in live bacteria by 2D and 3D single-molecule switching superresolution microscopy. This approach provided access to transient components of this machine, which previously could not be analyzed...
May 22, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28533015/in%C3%A2-vitro-comparison-of-the-load-bearing-capacity-of-ceramic-and-metal-ceramic-resin-bonded-fixed-dental-prostheses-in-the-posterior-region
#18
Wolfgang Bömicke, Moritz Waldecker, Johannes Krisam, Peter Rammelsberg, Stefan Rues
STATEMENT OF PROBLEM: The clinical use of ceramic resin-bonded fixed dental prostheses (RBFDPs) in the posterior region is desirable for esthetic and biological reasons but has been associated with many technical problems, including fractures or chipping of the veneer. Although these problems may be overcome by using monolithic zirconia, information is lacking about the load-bearing capacity of resin-bonded monolithic zirconia restorations for replacing a molar. PURPOSE: The purpose of this in vitro study was to compare the load-bearing capacity (Fu), the load at initial damage (F1d), and the failure pattern of posterior RBFDPs fabricated from monolithic zirconia (MZr), veneered zirconia (VZr), and veneered cobalt-chromium (VCo)...
May 20, 2017: Journal of Prosthetic Dentistry
https://www.readbyqxmd.com/read/28532942/robot-assisted-simulated-cataract-surgery
#19
Tristan Bourcier, Jimmy Chammas, Pierre-Henri Becmeur, Arnaud Sauer, David Gaucher, Philippe Liverneaux, Jacques Marescaux, Didier Mutter
PURPOSE: To evaluate the feasibility of robot-assisted simulated cataract surgery. SETTING: Institut de Recherche Contre les Cancers de l'Appareil Digestif, European Institute of Telesurgery, and Strasbourg University Hospital, Strasbourg, France. DESIGN: Experimental study. METHODS: Cataract surgeries were performed on a Kitaro cataract wet-lab training system simultaneously using the Da Vinci Xi robotic surgical system and the Whitestar Signature phacoemulsification system...
April 2017: Journal of Cataract and Refractive Surgery
https://www.readbyqxmd.com/read/28532525/management-of-risks-from-water-and-ice-from-ice-machines-for-the-very-immunocompromised-host-a-process-improvement-project-prompted-by-an-outbreak-of-rapidly-growing-mycobacteria-on-a-pediatric-hematopoietic-stem-cell-transplant-hsct-unit
#20
Amanda Guspiel, Jeremiah Menk, Andrew Streifel, Keith Messinger, John Wagner, Patricia Ferrieri, Susan Kline
BACKGROUND In 2011, pediatric hematopoietic stem cell transplant (HSCT) patients were moved from an older hospital to a new children's hospital. To minimize bacterial growth in the new hospital's water during construction, the plumbing system was flushed and disinfected before occupancy. However, 6 months after occupancy, an increased incidence of rapidly growing mycobacteria (RGM) was detected in clinical cultures. Over 10 months, 15 pediatric HSCT patients were infected, while no pediatric HSCT patients had been infected in the preceding 12 months...
May 23, 2017: Infection Control and Hospital Epidemiology
keyword
keyword
47491
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"