keyword
MENU ▼
Read by QxMD icon Read
search

Artificial

keyword
https://www.readbyqxmd.com/read/29352978/use-of-multimodality-imaging-and-artificial-intelligence-for-diagnosis-and-prognosis-of-early-stages-of-alzheimer-s-disease
#1
REVIEW
Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li
Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or stop the progression of AD. There is converging belief that disease-modifying treatments should focus on early stages of the disease, that is, the mild cognitive impairment (MCI) and preclinical stages. Making a diagnosis of AD and offering a prognosis (likelihood of converting to AD) at these early stages are challenging tasks but possible with the help of multimodality imaging, such as magnetic resonance imaging (MRI), fluorodeoxyglucose-positron emission topography (PET), amyloid-PET, and recently introduced tau-PET, which provides different but complementary information...
January 10, 2018: Translational Research: the Journal of Laboratory and Clinical Medicine
https://www.readbyqxmd.com/read/29352815/book-review-artificial-ventilation-a-basic-clinical-guide-by-dj-baker-springer-switzerland-2016-doi-10-1007-978-3-319-32501-9
#2
Samuel J Stratton
No abstract text is available yet for this article.
January 21, 2018: Prehospital and Disaster Medicine
https://www.readbyqxmd.com/read/29352660/clinical-significance-of-muc13-in-pancreatic-ductal-adenocarcinoma
#3
Sheema Khan, Nadeem Zafar, Shabia S Khan, Saini Setua, Stephen W Behrman, Zachary E Stiles, Murali M Yallapu, Peeyush Sahay, Hemendra Ghimire, Tomoko Ise, Satoshi Nagata, Lei Wang, Jim Y Wan, Prabhakar Pradhan, Meena Jaggi, Subhash C Chauhan
BACKGROUND: Poor prognosis of pancreatic cancer (PanCa) is associated with lack of an effective early diagnostic biomarker. This study elucidates significance of MUC13, as a diagnostic/prognostic marker of PanCa. METHODS: MUC13 was assessed in tissues using our in-house generated anti-MUC13 mouse monoclonal antibody and analyzed for clinical correlation by immunohistochemistry, immunoblotting, RT-PCR, computational and submicron scale mass-density fluctuation analyses, ROC and Kaplan Meir curve analyses...
January 15, 2018: HPB: the Official Journal of the International Hepato Pancreato Biliary Association
https://www.readbyqxmd.com/read/29352501/predictors-of-beef-calf-temperament-at-weaning-and-its-impact-on-temperament-at-breeding-and-reproductive-performance
#4
V R Kasimanickam, R L Abdel Aziz, H M Williams, R K Kasimanickam
Two experiments were conducted to determine (i) factors influencing calf temperament at weaning, (ii) association between heifer-calf temperament at weaning and temperament at breeding and (iii) effect of heifer-calf temperament on pregnancy rate per artificial insemination (P/AI). In experiment 1, beef cows and their calves (n = 285) from three farms were used. Sire docility estimated progeny difference (EPD) score, birth type (normal or assisted), calf gender, calf behaviour (during 1st 4 weeks) and calf health status (until weaning) were recorded...
January 19, 2018: Reproduction in Domestic Animals, Zuchthygiene
https://www.readbyqxmd.com/read/29352388/cutaneous-granulomatosis-a-comprehensive-review
#5
REVIEW
Benedetta Terziroli Beretta-Piccoli, Carlo Mainetti, Marie-Astrid Peeters, Emmanuel Laffitte
Cutaneous granulomatosis is a heterogeneous group of diseases, characterized by a skin inflammatory reaction triggered by a wide variety of stimuli, including infections, foreign bodies, malignancy, metabolites, and chemicals. From a pathogenic point of view, they are divided into non-infectious and infectious granulomas. Pathophysiological mechanisms are still poorly understood. Non-infectious granulomatous skin diseases include granuloma annulare, necrobiosis lipoidica, rheumatic nodules, foreign body granulomas, cutaneous sarcoidosis, and interstitial granulomatous dermatitis...
January 19, 2018: Clinical Reviews in Allergy & Immunology
https://www.readbyqxmd.com/read/29352347/autologous-cell-based-therapy-for-treatment-of-large-bone-defects-from-bench-to-bedside
#6
REVIEW
R Verboket, M Leiblein, C Seebach, C Nau, M Janko, M Bellen, H Bönig, D Henrich, I Marzi
OBJECTIVES: Reconstruction of long segmental bone defects is demanding for patients and surgeons, and associated with long-term treatment periods and substantial complication rates in addition to high costs. While defects up to 4-5 cm length might be filled up with autologous bone graft, heterologous bone from cadavers, or artificial bone graft substitutes, current options to reconstruct bone defects greater than 5 cm consist of either vascularized free bone transfers, the Masquelet technique or the Ilizarov distraction osteogenesis...
January 19, 2018: European Journal of Trauma and Emergency Surgery: Official Publication of the European Trauma Society
https://www.readbyqxmd.com/read/29352317/optic-flow-detection-is-not-influenced-by-visual-vestibular-congruency
#7
Vivian Holten, Paul R MacNeilage
Optic flow patterns generated by self-motion relative to the stationary environment result in congruent visual-vestibular self-motion signals. Incongruent signals can arise due to object motion, vestibular dysfunction, or artificial stimulation, which are less common. Hence, we are predominantly exposed to congruent rather than incongruent visual-vestibular stimulation. If the brain takes advantage of this probabilistic association, we expect observers to be more sensitive to visual optic flow that is congruent with ongoing vestibular stimulation...
2018: PloS One
https://www.readbyqxmd.com/read/29352285/deep-neural-networks-show-an-equivalent-and-often-superior-performance-to-dermatologists-in-onychomycosis-diagnosis-automatic-construction-of-onychomycosis-datasets-by-region-based-convolutional-deep-neural-network
#8
Seung Seog Han, Gyeong Hun Park, Woohyung Lim, Myoung Shin Kim, Jung Im Na, Ilwoo Park, Sung Eun Chang
Although there have been reports of the successful diagnosis of skin disorders using deep learning, unrealistically large clinical image datasets are required for artificial intelligence (AI) training. We created datasets of standardized nail images using a region-based convolutional neural network (R-CNN) trained to distinguish the nail from the background. We used R-CNN to generate training datasets of 49,567 images, which we then used to fine-tune the ResNet-152 and VGG-19 models. The validation datasets comprised 100 and 194 images from Inje University (B1 and B2 datasets, respectively), 125 images from Hallym University (C dataset), and 939 images from Seoul National University (D dataset)...
2018: PloS One
https://www.readbyqxmd.com/read/29352222/artificial-chameleon-skin-that-controls-spectral-radiation-development-of-chameleon-cool-coating-c3
#9
Hiroki Gonome, Masashi Nakamura, Junnosuke Okajima, Shigenao Maruyama
Chameleons have a diagnostic thermal protection that enables them to live under various conditions. Our developed special radiative control therefore is inspired by the chameleon thermal protection ability by imitating its two superposed layers as two pigment particles in one coating layer. One particle imitates a chameleon superficial surface for color control (visible light), and another particle imitates a deep surface to reflect solar irradiation, especially in the near-infrared region. Optical modeling allows us to optimally design the particle size and volume fraction...
January 19, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29352006/machine-learning-in-cardiovascular-medicine-are-we-there-yet
#10
REVIEW
Khader Shameer, Kipp W Johnson, Benjamin S Glicksberg, Joel T Dudley, Partho P Sengupta
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing several terms like machine learning, cognitive learning, deep learning and reinforcement learning-based methods that can be used to integrate and interpret complex biomedical and healthcare data in scenarios where traditional statistical methods may not be able to perform...
January 19, 2018: Heart: Official Journal of the British Cardiac Society
https://www.readbyqxmd.com/read/29351717/prediction-of-protein-configurational-entropy-popcoen
#11
Martin Goethe, Jan Gleixner, Ignacio Fita, J Miguel Rubi
A knowledge-based method for configurational entropy prediction of proteins is presented which is extremely fast compared to previous approaches because it does not involve any kind of configurational sampling. Instead, the configurational entropy of a query fold is estimated by evaluating an artificial neural network which was trained on molecular-dynamics simulations of about 1000 proteins. The predicted entropy can be incorporated into a large class of protein software based on cost-function minimization/evaluation in which configurational entropy is currently neglected for performance reasons...
January 19, 2018: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/29351656/evaluation-of-a-new-neutron-energy-spectrum-unfolding-code-based-on-an-adaptive-neuro-fuzzy-inference-system-anfis
#12
Seyed Abolfazl Hosseini, Iman Esmaili Paeen Afrakoti
The purpose of the present study was to reconstruct the energy spectrum of a poly-energetic neutron source using an algorithm developed based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a kind of artificial neural network based on the Takagi-Sugeno fuzzy inference system. The ANFIS algorithm uses the advantages of both fuzzy inference systems and artificial neural networks to improve the effectiveness of algorithms in various applications such as modeling, control and classification. The neutron pulse height distributions used as input data in the training procedure for the ANFIS algorithm were obtained from the simulations performed by MCNPX-ESUT computational code (MCNPX-Energy engineering of Sharif University of Technology)...
January 17, 2018: Journal of Radiation Research
https://www.readbyqxmd.com/read/29351591/could-seasonally-deteriorating-environments-favour-the-evolution-of-autogamous-selfing-and-a-drought-escape-physiology-through-indirect-selection-a-test-of-the-time-limitation-hypothesis-using-artificial-selection-in-clarkia
#13
Simon K Emms, Alisa A Hove, Leah S Dudley, Susan J Mazer, Amy S Verhoeven
Background and Aims: The evolution of selfing from outcrossing may be the most common transition in plant reproductive systems and is associated with a variety of ecological circumstances and life history strategies. The most widely discussed explanation for these associations is the reproductive assurance hypothesis - the proposition that selfing is favoured because it increases female fitness when outcross pollen receipt is limited. Here an alternative explanation, the time limitation hypothesis, is addressed, one scenario of which proposes that selfing may evolve as a correlated response to selection for a faster life cycle in seasonally deteriorating environments...
January 17, 2018: Annals of Botany
https://www.readbyqxmd.com/read/29351588/sorghum-root-system-classification-in-contrasting-p-environments-reveals-three-main-rooting-types-and-root-architecture-related-marker-trait-associations
#14
Sebastian Parra-Londono, Mareike Kavka, Birgit Samans, Rod Snowdon, Silke Wieckhorst, Ralf Uptmoor
Background and Aims: Roots facilitate acquisition of macro- and micronutrients, which are crucial for plant productivity and anchorage in the soil. Phosphorus (P) is rapidly immobilized in the soil and hardly available for plants. Adaptation to P scarcity relies on changes in root morphology towards rooting systems well suited for topsoil foraging. Root-system architecture (RSA) defines the spatial organization of the network comprising primary, lateral and stem-derived roots and is important for adaptation to stress conditions...
January 17, 2018: Annals of Botany
https://www.readbyqxmd.com/read/29351563/a-consensus-linkage-map-of-lentil-based-on-dart-markers-from-three-ril-mapping-populations
#15
Duygu Ates, Secil Aldemir, Ahmad Alsaleh, Semih Erdogmus, Seda Nemli, Abdullah Kahriman, Hakan Ozkan, Albert Vandenberg, Bahattin Tanyolac
BACKGROUND: Lentil (Lens culinaris ssp. culinaris Medikus) is a diploid (2n = 2x = 14), self-pollinating grain legume with a haploid genome size of about 4 Gbp and is grown throughout the world with current annual production of 4.9 million tonnes. MATERIALS AND METHODS: A consensus map of lentil (Lens culinaris ssp. culinaris Medikus) was constructed using three different lentils recombinant inbred line (RIL) populations, including "CDC Redberry" x "ILL7502" (LR8), "ILL8006" x "CDC Milestone" (LR11) and "PI320937" x "Eston" (LR39)...
2018: PloS One
https://www.readbyqxmd.com/read/29351320/coiled-coil-formation-of-the-membrane-fusion-k-e-peptides-viewed-by-electron-paramagnetic-resonance
#16
Pravin Kumar, Martin van Son, Tingting Zheng, Dayenne Valdink, Jan Raap, Alexander Kros, Martina Huber
The interaction of the complementary K (Ac-(KIAALKE)3-GW-NH2) and E (Ac-(EIAALEK)3-GY-NH2) peptides, components of the zipper of an artificial membrane fusion system (Robson Marsden H. et al. Angew Chemie Int Ed. 2009) is investigated by electron paramagnetic resonance (EPR). By frozen solution continuous-wave EPR and double electron-electron resonance (DEER), the distance between spin labels attached to the K- and to the E-peptide is measured. Three constructs of spin-labelled K- and E-peptides are used in five combinations for low temperature investigations...
2018: PloS One
https://www.readbyqxmd.com/read/29351290/land-use-change-in-oil-palm-dominated-tropical-landscapes-an-agent-based-model-to-explore-ecological-and-socio-economic-trade-offs
#17
Claudia Dislich, Elisabeth Hettig, Jan Salecker, Johannes Heinonen, Jann Lay, Katrin M Meyer, Kerstin Wiegand, Suria Tarigan
Land-use changes have dramatically transformed tropical landscapes. We describe an ecological-economic land-use change model as an integrated, exploratory tool used to analyze how tropical land-use change affects ecological and socio-economic functions. The model analysis seeks to determine what kind of landscape mosaic can improve the ensemble of ecosystem functioning, biodiversity, and economic benefit based on the synergies and trade-offs that we have to account for. More specifically, (1) how do specific ecosystem functions, such as carbon storage, and economic functions, such as household consumption, relate to each other? (2) How do external factors, such as the output prices of crops, affect these relationships? (3) How do these relationships change when production inefficiency differs between smallholder farmers and learning is incorporated? We initialize the ecological-economic model with artificially generated land-use maps parameterized to our study region...
2018: PloS One
https://www.readbyqxmd.com/read/29351240/machine-learning-and-infrared-thermography-for-fiber-orientation-assessment-on-randomly-oriented-strands-parts
#18
Henrique Fernandes, Hai Zhang, Alisson Figueiredo, Fernando Malheiros, Luis Henrique Ignacio, Stefano Sfarra, Clemente Ibarra-Castanedo, Gilmar Guimaraes, Xavier Maldague
The use of fiber reinforced materials such as randomly-oriented strands has grown in recent years, especially for manufacturing of aerospace composite structures. This growth is mainly due to their advantageous properties: they are lighter and more resistant to corrosion when compared to metals and are more easily shaped than continuous fiber composites. The resistance and stiffness of these materials are directly related to their fiber orientation. Thus, efficient approaches to assess their fiber orientation are in demand...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351223/a-novel-walking-detection-and-step-counting-algorithm-using-unconstrained-smartphones
#19
Xiaomin Kang, Baoqi Huang, Guodong Qi
Recently, with the development of artificial intelligence technologies and the popularity of mobile devices, walking detection and step counting have gained much attention since they play an important role in the fields of equipment positioning, saving energy, behavior recognition, etc. In this paper, a novel algorithm is proposed to simultaneously detect walking motion and count steps through unconstrained smartphones in the sense that the smartphone placement is not only arbitrary but also alterable. On account of the periodicity of the walking motion and sensitivity of gyroscopes, the proposed algorithm extracts the frequency domain features from three-dimensional (3D) angular velocities of a smartphone through FFT (fast Fourier transform) and identifies whether its holder is walking or not irrespective of its placement...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351215/multi-sensor-data-integration-using-deep-learning-for-characterization-of-defects-in-steel-elements
#20
Grzegorz Psuj
Nowadays, there is a strong demand for inspection systems integrating both high sensitivity under various testing conditions and advanced processing allowing automatic identification of the examined object state and detection of threats. This paper presents the possibility of utilization of a magnetic multi-sensor matrix transducer for characterization of defected areas in steel elements and a deep learning based algorithm for integration of data and final identification of the object state. The transducer allows sensing of a magnetic vector in a single location in different directions...
January 19, 2018: Sensors
keyword
keyword
53482
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"