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https://www.readbyqxmd.com/read/28806822/-multiple-myeloma-current-status-in-diagnostic-testing-and-therapy
#1
Michael Kehrer, Sebastian Koob, Andreas Strauss, Dieter Christian Wirtz, Jan Schmolders
Background Multiple myeloma is a haematological blood cancer of the bone marrow and is classified by the World Health Organisation (WHO) as a plasma cell neoplasm. In multiple myeloma, normal plasma cells transform into malignant myeloma cells and produce large quantities of an abnormal immunoglobulin called monoclonal protein or M protein. This ultimately causes multiple myeloma symptoms such as bone damage or kidney problems. The annual worldwide incidence of multiple myeloma is estimated to be 6 - 7/100,000 and accounts for 1% of all cancer...
August 14, 2017: Zeitschrift Für Orthopädie und Unfallchirurgie
https://www.readbyqxmd.com/read/28806756/generic-scalable-and-decentralized-fault-detection-for-robot-swarms
#2
Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis
Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on local coordination with neighboring robots. The decentralized approach to control confers number of potential benefits. In particular, inherent scalability and robustness are often highlighted as key distinguishing features of robot swarms compared with systems that rely on traditional approaches to multirobot coordination. It has, however, been shown that swarm robotics systems are not always fault tolerant...
2017: PloS One
https://www.readbyqxmd.com/read/28806754/short-term-prediction-of-solar-energy-in-saudi-arabia-using-automated-design-fuzzy-logic-systems
#3
Majid Almaraashi
Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. This problem affects optimal exploitation of solar energy, especially in connection with other resources. Therefore, reliable solar energy prediction models are essential to solar energy management and economics. This paper presents work aimed at designing reliable models to predict the global horizontal irradiance (GHI) for the next day in 8 stations in Saudi Arabia...
2017: PloS One
https://www.readbyqxmd.com/read/28806718/stochastic-separation-theorems
#4
A N Gorban, I Y Tyukin
The problem of non-iterative one-shot and non-destructive correction of unavoidable mistakes arises in all Artificial Intelligence applications in the real world. Its solution requires robust separation of samples with errors from samples where the system works properly. We demonstrate that in (moderately) high dimension this separation could be achieved with probability close to one by linear discriminants. Based on fundamental properties of measure concentration, we show that for M<aexp(bn) random M-element sets in R(n) are linearly separable with probability p, p>1-ϑ, where 1>ϑ>0 is a given small constant...
July 31, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28806717/efficient-construction-of-sparse-radial-basis-function-neural-networks-using-l1-regularization
#5
Xusheng Qian, He Huang, Xiaoping Chen, Tingwen Huang
This paper investigates the construction of sparse radial basis function neural networks (RBFNNs) for classification problems. An efficient two-phase construction algorithm (which is abbreviated as TPCLR1 for simplicity) is proposed by using L1 regularization. In the first phase, an improved maximum data coverage (IMDC) algorithm is presented for the initialization of RBF centers and widths. Then a specialized Orthant-Wise Limited-memory Quasi-Newton (sOWL-QN) method is employed to perform simultaneous network pruning and parameter optimization in the second phase...
July 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28806714/f-norm-distance-metric-based-robust-2dpca-and-face-recognition
#6
Tao Li, Mengyuan Li, Quanxue Gao, Deyan Xie
Two-dimensional principal component analysis (2DPCA) employs squared F-norm as the distance metric for dimensionality reduction. It is commonly known that squared F-norm is sensitive to the presence of outliers. To address this problem, we use F-norm instead of squared F-norm as the distance metric in the objective function and develop a non-greedy algorithm, which has a closed-form solution in each iteration and can maximize the criterion function, to solve the optimal solution. Our approach not only is robust to outliers but also well characterizes the geometric structure of data...
July 21, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28806701/application-of-different-spectrophotometric-methods-for-simultaneous-determination-of-elbasvir-and-grazoprevir-in-pharmaceutical-preparation
#7
Khalid A M Attia, Nasr M El-Abasawi, Ahmed El-Olemy, Ahmed H Abdelazim
The first three UV spectrophotometric methods have been developed of simultaneous determination of two new FDA approved drugs namely; elbasvir and grazoprevir in their combined pharmaceutical dosage form. These methods include simultaneous equation, partial least squares with and without variable selection procedure (genetic algorithm). For simultaneous equation method, the absorbance values at 369 (λmax of elbasvir) and 253nm (λmax of grazoprevir) have been selected for the formation of two simultaneous equations required for the mathematical processing and quantitative analysis of the studied drugs...
August 10, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28806634/a-correlation-based-bullet-identification-method-using-empirical-mode-decomposition
#8
Saeed Bigdeli, Hamed Danandeh, Mohsen Ebrahimi Moghaddam
The striations on bullet surface are 3D micro structures formed when a bullet is forcing its way out of barrel. Each barrel leaves individual striation patterns on bullets. Hence, the striation information of bullets is helpful for firearm identification. Common automatic identification methods process these images using linear time invariant (LTI) filters based on correlation. These methods do not consider the sensitivity of correlation based comparisons to nonlinear baseline drifts. The striations are undeniably random unique micro structures caused by random non-model-based imperfections in the tools used in rifling process, therefore any characteristic profile that is extracted from a bullet image is statistically non-stationary...
August 3, 2017: Forensic Science International
https://www.readbyqxmd.com/read/28806482/automated-segmentation-and-quantification-of-actin-stress-fibres-undergoing-experimentally-induced-changes
#9
H Rogge, N Artelt, N Endlich, K Endlich
The actin cytoskeleton is a main component of cells and it is crucially involved in many physiological processes, e.g. cell motility. Changes in the actin organization can be effected by diseases or vice versa. Due to the nonuniform pattern, it is difficult to quantify reasonable features of the actin cytoskeleton for a significantly high cell number. Here, we present an approach capable to fully segment and analyse the actin cytoskeleton of 2D fluorescence microscopic images with a special focus on stress fibres...
August 14, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28806413/reply-supply-efficient-crowdsourcing-when-workers-do-more-than-answer-questions
#10
Thomas C McAndrew, Elizaveta A Guseva, James P Bagrow
Crowdsourcing works by distributing many small tasks to large numbers of workers, yet the true potential of crowdsourcing lies in workers doing more than performing simple tasks-they can apply their experience and creativity to provide new and unexpected information to the crowdsourcer. One such case is when workers not only answer a crowdsourcer's questions but also contribute new questions for subsequent crowd analysis, leading to a growing set of questions. This growth creates an inherent bias for early questions since a question introduced earlier by a worker can be answered by more subsequent workers than a question introduced later...
2017: PloS One
https://www.readbyqxmd.com/read/28806318/computed-tomography-image-quality-evaluation-of-a-new-iterative-reconstruction-algorithm-in-the-abdomen-adaptive-statistical-iterative-reconstruction-v-a-comparison-with-model-based-iterative-reconstruction-adaptive-statistical-iterative-reconstruction-and
#11
Martin H Goodenberger, Nicolaus A Wagner-Bartak, Shiva Gupta, Xinming Liu, Ramon Q Yap, Jia Sun, Eric P Tamm, Corey T Jensen
OBJECTIVE: The purpose of this study was to compare abdominopelvic computed tomography images reconstructed with adaptive statistical iterative reconstruction-V (ASIR-V) with model-based iterative reconstruction (Veo 3.0), ASIR, and filtered back projection (FBP). METHODS AND MATERIALS: Abdominopelvic computed tomography scans for 36 patients (26 males and 10 females) were reconstructed using FBP, ASIR (80%), Veo 3.0, and ASIR-V (30%, 60%, 90%). Mean ± SD patient age was 32 ± 10 years with mean ± SD body mass index of 26...
August 12, 2017: Journal of Computer Assisted Tomography
https://www.readbyqxmd.com/read/28806293/-optimizing-your-post-surgical-scars-a-systematic-review-on-best-practices-in-preventative-scar-management-1
#12
Justin L Perez, Rod J Rohrich
BACKGROUND: Scar management is critical for every plastic surgeon's practice and, ultimately, the patient's satisfaction with his or her aesthetic result. Despite the critical nature of this component of routine post-operative care, there has yet to be a comprehensive analysis of the available literature over the last decade to assess the best algorithmic approach to scar care. To this end, a systematic review of best practices in preventative scar management was conducted to elucidate the highest level of evidence available on this subject to date...
August 3, 2017: Plastic and Reconstructive Surgery
https://www.readbyqxmd.com/read/28806189/the-use-of-optical-coherence-tomography-in-neuro-ophthalmology
#13
Noel C Y Chan, Carmen K M Chan
PURPOSE OF REVIEW: In the last decade, with the advances of optical coherence tomography (OCT) technology, different imaging protocols and analysis algorithms have been introduced to maximize the potential of this diagnostic tool in the evaluation of different eye diseases. This review aims to provide an update on these additional features, with respect to the management of a diverse range of neuro-ophthalmologic conditions. RECENT FINDINGS: Macular ganglion cell complex (mGCC) analysis has been shown to be superior to peripapillary retinal nerve fiber layer (pRNFL) analysis in certain settings, such as differentiating Leber's hereditary optic neuropathy from functional visual loss; monitoring neurodegenerative diseases or multiple sclerosis; and predicting visual loss in nonarteritic ischemic optic neuropathy...
August 12, 2017: Current Opinion in Ophthalmology
https://www.readbyqxmd.com/read/28806141/cutaneous-leishmaniasis-in-saudi-arabia-a-comprehensive-overview
#14
Abuzaid A Abuzaid, Abdalmohsin M Abdoon, Mohamed A Aldahan, Abdullah G Alzahrani, Raaft F Alhakeem, Abdullah M Asiri, Mohamed H Alzahrani, Ziad A Memish
Despite the great efforts by health authorities in Kingdom of Saudi Arabia (KSA), Cutaneous Leishmaniasis (CL) continues to be a major public health problem in the country. Many risk factors make KSA prone to outbreaks and epidemics; among these, rapid urbanization and the huge population movement are the most important. The disease is endemic in many parts of KSA, with the majority of cases concentrated in six regions, including Al-Qaseem, Riyadh, Al-Hassa, Aseer, Ha'il, and Al-Madinah. Leishmania major (L...
August 14, 2017: Vector Borne and Zoonotic Diseases
https://www.readbyqxmd.com/read/28806091/sparsity-based-super-resolution-for-sem-images
#15
Shahar Tsiper, Or Dicker, Idan Kaizerman, Zeev Zohar, Mordechai Segev, Yonina C Eldar
The Scanning Electron Microscope (SEM) is an electron microscope that produces an image of a sample by scanning it with a focused beam of electrons. The electrons interact with the atoms in the sample, which emit secondary electrons that contain information about the surface topography and composition. The sample is scanned by the electron beam point by point, until an image of the surface is formed. Since its invention in 1942, the capabilities of SEMs have become paramount in the discovery and understanding of the nanometer world, and today it is extensively used for both research and in industry...
August 14, 2017: Nano Letters
https://www.readbyqxmd.com/read/28805974/effect-of-single-nucleotide-polymorphisms-in-adh1b-adh4-adh1c-oprm1-drd2-bdnf-and-aldh2-genes-on-alcohol-dependence-in-a-caucasian-population
#16
Martha-Spyridoula Katsarou, Konstantinos Karakonstantis, Nikolaos Demertzis, Emmanouil Vourakis, Aspasia Skarpathioti, Aleksandr E Nosyrev, Aristidis Tsatsakis, Theodoris Kalogridis, Nikolaos Drakoulis
Alcohol is a frequently used addictive substance worldwide. Aim of this study is to determine the frequency distribution of SNPs within ADH1B, ADH4, ADH1C, ALDH2, BDNF, OPRM1, and DRD2 genes in a southeastern European Caucasian population from Greece. For this purpose samples of 1276 volunteers were analyzed after deidentification and anonymization. The allele distribution of the examined polymorphisms in the present Greek population cohort was as follows: rs1229984 (ADH1B): GG(wt) = 64.14%, GA = 29.86%, AA = 4...
August 2017: Pharmacology Research & Perspectives
https://www.readbyqxmd.com/read/28805917/technical-note-impact-of-pedigree-depth-on-convergence-of-single-step-genomic-blup-in-a-purebred-swine-population
#17
I Pocrnic, D A L Lourenco, H L Bradford, C Y Chen, I Misztal
In genomic evaluations, it is desirable to have low computing cost while retaining high accuracy of evaluation for young animals. When the population is large but only few animals have phenotypes, especially for low heritability traits, the convergence rate of BLUP or single-step genomic BLUP (ssGBLUP) can be very slow. This study investigates the effect of pedigree truncation on convergence rate and solutions of ssGBLUP for data exhibiting slow convergence. The data consisted of 216,000, 221,000, 732,000, and 579,000 phenotypes on 4 traits...
August 2017: Journal of Animal Science
https://www.readbyqxmd.com/read/28805806/lung-tumor-exome-files-with-t-cell-receptor-recombinations-a-mouse-model-of-t-cell-infiltrates-reflecting-mutation-burdens
#18
Yaping N Tu, Wei Lue Tong, Timothy J Fawcett, George Blanck
Tumor exomes and RNASeq data were originally intended for obtaining tumor mutations and gene expression profiles, respectively. However, recent work has determined that tumor exome and RNAseq read files contain reads representing T-cell and B-cell receptor (TcR and BcR) recombinations, presumably due to infiltrating lymphocytes. Furthermore, the recovery of immune receptor recombination reads has demonstrated correlations with specific, previously appreciated aspects of tumor immunology. To further understand the usefulness of recovering TcR and BcR recombinations from tumor exome files, we developed a scripted algorithm for recovery of reads representing these recombinations from a previously described mouse model of lung tumorigenesis...
August 14, 2017: Laboratory Investigation; a Journal of Technical Methods and Pathology
https://www.readbyqxmd.com/read/28805805/whole-tumor-section-quantitative-image-analysis-maximizes-between-pathologists-reproducibility-for-clinical-immunohistochemistry-based-biomarkers
#19
Michael Barnes, Chukka Srinivas, Isaac Bai, Judith Frederick, Wendy Liu, Anindya Sarkar, Xiuzhong Wang, Yao Nie, Bryce Portier, Monesh Kapadia, Olcay Sertel, Elizabeth Little, Bikash Sabata, Jim Ranger-Moore
Pathologists have had increasing responsibility for quantitating immunohistochemistry (IHC) biomarkers with the expectation of high between-reader reproducibility due to clinical decision-making especially for patient therapy. Digital imaging-based quantitation of IHC clinical slides offers a potential aid for improvement; however, its clinical adoption is limited potentially due to a conventional field-of-view annotation approach. In this study, we implemented a novel solely morphology-based whole tumor section annotation strategy to maximize image analysis quantitation results between readers...
August 14, 2017: Laboratory Investigation; a Journal of Technical Methods and Pathology
https://www.readbyqxmd.com/read/28805794/large-scale-mapping-of-cortical-synaptic-projections-with-extracellular-electrode-arrays
#20
Mark Shein-Idelson, Lorenz Pammer, Mike Hemberger, Gilles Laurent
Understanding circuit computation in the nervous system requires sampling activity over large neural populations and maximizing the number of features that can be extracted. By combining planar arrays of extracellular electrodes with the three-layered cortex of turtles, we show that synaptic signals induced along individual axons as well as action potentials can be easily captured. Two types of information can be extracted from these signals, the neuronal subtype (inhibitory or excitatory)-whose identification is more reliable than with traditional measures such as action potential width-and a (partial) spatial map of functional axonal projections from individual neurons...
August 14, 2017: Nature Methods
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