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https://www.readbyqxmd.com/read/28651080/robust-recursive-absolute-value-inequalities-discriminant-analysis-with-sparseness
#1
Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen
In this paper, we propose a novel absolute value inequalities discriminant analysis (AVIDA) criterion for supervised dimensionality reduction. Compared with the conventional linear discriminant analysis (LDA), the main characteristics of our AVIDA are robustness and sparseness. By reformulating the generalized eigenvalue problem in LDA to a related SVM-type "concave-convex" problem based on absolute value inequalities loss, our AVIDA is not only more robust to outliers and noises, but also avoids the SSS problem...
June 9, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28650813/knowledge-based-topic-model-for-unsupervised-object-discovery-and-localization
#2
Zhenxing Niu, Gang Hua, Le Wang, Xinbo Gao
Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models such as Latent Dirichlet Allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery...
June 22, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28644794/electrocardiogram-signal-quality-assessment-based-on-structural-image-similarity-metric
#3
Yalda Shahriari, Richard Fidler, Michele Pelter, Yong Bai, Andrea Villaroman, Xiao Hu
OBJECTIVE: We developed an image-based electrocardiographic (ECG) quality assessment technique that mimics how clinicians annotate ECG signal quality. METHODS: We adopted the Structural Similarity Measure (SSIM) to compare images of two ECG records that are obtained from displaying ECGs in a standard scale. Then a subset of representative ECG images from the training set was selected as templates through a clustering method. SSIM between each image and all the templates were used as the feature vector for the linear discriminant analysis (LDA) classifier...
June 21, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28641433/why-are-ggas-so-accurate-for-reaction-kinetics-on-surfaces-systematic-comparison-of-hybrid-vs-nonhybrid-dft-for-representative-reactions
#4
Andrew Mahler, Benjamin G Janesko, Salvador Moncho, Edward N Brothers
"Jacob's Ladder" of approximate exchange-correlation (XC) functionals in Kohn-Sham density functional theory are widely accepted to have systematic errors in reaction barriers. The first-rung local spin-density approximation (LDA) typically predicts barriers below generalized gradient approximations, which in turn predict barriers below experiment and below fourth-rung hybrid functionals incorporating a fraction of exact exchange. We show that several reactions from previous literature reports, as well as new simulations of carbon-carbon coupling in the Fischer-Tropsch process, do not follow this conventional picture...
June 21, 2017: Journal of Chemical Physics
https://www.readbyqxmd.com/read/28630804/diversity-analysis-of-gut-microbiota-in-osteoporosis-and-osteopenia-patients
#5
Jihan Wang, Yangyang Wang, Wenjie Gao, Biao Wang, Heping Zhao, Yuhong Zeng, Yanhong Ji, Dingjun Hao
Some evidence suggests that bone health can be regulated by gut microbiota. To better understand this, we performed 16S ribosomal RNA sequencing to analyze the intestinal microbial diversity in primary osteoporosis (OP) patients, osteopenia (ON) patients and normal controls (NC). We observed an inverse correlation between the number of bacterial taxa and the value of bone mineral density. The diversity estimators in the OP and ON groups were increased compared with those in the NC group. Beta diversity analyses based on hierarchical clustering and principal coordinate analysis (PCoA) could discriminate the NC samples from OP and ON samples...
2017: PeerJ
https://www.readbyqxmd.com/read/28630643/improved-classification-accuracy-of-powdery-mildew-infection-levels-of-wine-grapes-by-spatial-spectral-analysis-of-hyperspectral-images
#6
Uwe Knauer, Andrea Matros, Tijana Petrovic, Timothy Zanker, Eileen S Scott, Udo Seiffert
BACKGROUND: Hyperspectral imaging is an emerging means of assessing plant vitality, stress parameters, nutrition status, and diseases. Extraction of target values from the high-dimensional datasets either relies on pixel-wise processing of the full spectral information, appropriate selection of individual bands, or calculation of spectral indices. Limitations of such approaches are reduced classification accuracy, reduced robustness due to spatial variation of the spectral information across the surface of the objects measured as well as a loss of information intrinsic to band selection and use of spectral indices...
2017: Plant Methods
https://www.readbyqxmd.com/read/28630032/what-are-people-tweeting-about-zika-an-exploratory-study-concerning-its-symptoms-treatment-transmission-and-prevention
#7
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth
BACKGROUND: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus. OBJECTIVE: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment...
June 19, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28628849/kinematic-patterns-underlying-disguised-movements-spatial-and-temporal-dissimilarity-compared-to-genuine-movement-patterns
#8
Fabian Helm, Jörn Munzert, Nikolaus F Troje
This study examined the kinematic characteristics of disguised movements by applying linear discriminant (LDA) and dissimilarity analyses to the motion data from 788 disguised and 792 non-disguised 7-m penalty throws performed by novice and expert handball field players. Results of the LDA showed that discrimination between type of throws (disguised vs. non-disguised) was more error-prone when throws were performed by experts (spatial: 4.6%; temporal: 29.6%) compared to novices (spatial: 1.0%; temporal: 20...
June 16, 2017: Human Movement Science
https://www.readbyqxmd.com/read/28623815/colorimetric-sensor-array-for-protein-discrimination-based-on-different-dna-chain-length-dependent-gold-nanoparticles-aggregation
#9
Xiangcong Wei, Yuxian Wang, Yingxin Zhao, Zhengbo Chen
A facile colorimetric sensor array for detection of proteins was demonstrated using DNA as nonspecific receptors. We found that different proteins could trigger the DNA-protected gold nanoparticles (AuNPs) to show different aggregation behaviors in the presence of salt with high concentrations along with various color changes. As a proof-of-concept application, a multi-protein discrimination array was fabricated with two ssDNA strands (15A and 30A bases) as a receptor array. The combinatorial colorimetric response of this sensor array can be analyzed by linear discriminant analysis (LDA) and hierarchical cluster analysis (HCA)...
June 12, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28623609/administration-of-direct-oral-anticoagulants-in-patients-with-myeloproliferative-neoplasms
#10
Jean-Christophe Ianotto, Marie-Anne Couturier, Hubert Galinat, Dominique Mottier, Christian Berthou, Gaëlle Guillerm, Eric Lippert, Aurélien Delluc
Direct oral anticoagulants (DOACs) have been approved to treat and prevent thrombotic events. However, they are not yet labeled for use in patients with active cancers. Myeloproliferative neoplasms (MPNs) are clonal chronic disorders with a high incidence of thrombotic events, for which low-dose aspirin (LDA) is the standard drug treatment. We analyzed efficacy and safety of DOACs prescription in patients treated for MPNs. An MPN database, the OBENE registry, was established at our institution. We collected biological and clinical data from diagnosis to last follow-up for every patient included in this study...
June 16, 2017: International Journal of Hematology
https://www.readbyqxmd.com/read/28622686/alpha-glucosidase-inhibitor-use-is-associated-with-decreased-colorectal-neoplasia-risk-in-patients-with-type-2-diabetes-mellitus-receiving-colonoscopy-a-retrospective-study
#11
Yohei Horibe, Seiji Adachi, Tomohiko Ohno, Naoe Goto, Mitsuru Okuno, Midori Iwama, Osamu Yamauchi, Takao Kojima, Koshiro Saito, Takashi Ibuka, Ichiro Yasuda, Hiroshi Araki, Hisataka Moriwaki, Masahito Shimizu
PURPOSE: The purpose of this study was to clarify the factors that influence the incidence of colorectal neoplasia in patients with type 2 diabetes mellitus (DM). STUDY DESIGN AND SETTING: Among a total of 1176 patients who underwent total colonoscopy at our hospital, we retrospectively analyzed 168 patients with type 2 DM. Univariate and multivariate logistic regression analyses were then performed to identify the risk factors associated with colorectal neoplasia...
June 8, 2017: Oncotarget
https://www.readbyqxmd.com/read/28617229/analyzing-the-field-of-bioinformatics-with-the-multi-faceted-topic-modeling-technique
#12
Go Eun Heo, Keun Young Kang, Min Song, Jeong-Hoon Lee
BACKGROUND: Bioinformatics is an interdisciplinary field at the intersection of molecular biology and computing technology. To characterize the field as convergent domain, researchers have used bibliometrics, augmented with text-mining techniques for content analysis. In previous studies, Latent Dirichlet Allocation (LDA) was the most representative topic modeling technique for identifying topic structure of subject areas. However, as opposed to revealing the topic structure in relation to metadata such as authors, publication date, and journals, LDA only displays the simple topic structure...
May 31, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28612601/classification-of-bladder-cancer-patients-via-penalized-linear-discriminant-analysis
#13
Hadi Raeisi Shahraki, Peyman Bemani, Maryam Jalali
Objectives: In order to identify genes with the greatest contribution to bladder cancer, we proposed a sparse model making the best discrimination from other patients. Methods: In a cross-sectional study, 22 genes with a key role in most cancers were considered in 21 bladder cancer patients and 14 participants of the same age (± 3 years) without bladder cancer in Shiraz city, Southern Iran. Real time-PCR was carried out using SYBR Green and for each of the 22 target genes 2-Δct as a quantitative index of gene expression was reported...
May 1, 2017: Asian Pacific Journal of Cancer Prevention: APJCP
https://www.readbyqxmd.com/read/28611579/stacked-autoencoders-for-the-p300-component-detection
#14
Lukáš Vařeka, Pavel Mautner
Novel neural network training methods (commonly referred to as deep learning) have emerged in recent years. Using a combination of unsupervised pre-training and subsequent fine-tuning, deep neural networks have become one of the most reliable classification methods. Since deep neural networks are especially powerful for high-dimensional and non-linear feature vectors, electroencephalography (EEG) and event-related potentials (ERPs) are one of the promising applications. Furthermore, to the authors' best knowledge, there are very few papers that study deep neural networks for EEG/ERP data...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28609617/putative-markers-of-adulteration-of-higher-grade-olive-oil-with-less-expensive-pomace-olive-oil-by-gc-combined-with-chemometrics
#15
Hazem Jabeur, Malika Drira, Ahmed Rebai, Mohamed Bouaziz
The present work has been carried out to ascertain that extra-virgin olive oil (EVOO) is adulteration free. For this purpose, refined pomace olive oils (RPOO) are commonly used for extra-virgin olive oil adulteration and repassed olive oils (ROO) are used for lampante olive oil (LOO) fraudulent operation. Indeed, fatty acid ethyl esters could be used as a parameter for the detection of EVOO fraud with 2% of RPOO. The addition of more than 10% of RPOO to EVOO would be detected by the amount of erythrodiol, uvaol, waxes and aliphatic alcohols...
June 13, 2017: Journal of Agricultural and Food Chemistry
https://www.readbyqxmd.com/read/28606257/-microflora-changes-in-upper-digestive-tract-and-bile-in-acute-liver-failure-mice
#16
H J Liu, L Yu, Y X Hu, M L Cheng
Objective: To study the changes of upper digestive tract and bile flora associated with acute liver failure in mice. Methods: Mice were randomly divided into 2 groups: control group and acute liver failure group (group M). Acute liver failure in group M was induced by intraperitoneal injection of D-galactosamine (D-GaIN). The information of relative abundance and diversity were observed by high-throughput sequencing of V3 + V4 region in 16 S rDNA from bacteria of oral cavity, stomach, duodenal and bile.Bacterial translocation and changes associated with acute liver injury were identified by LEfSe (LDA effect size) analysis...
June 6, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/28604864/from-the-kohn-sham-band-gap-to-the-fundamental-gap-in-solids-an-integer-electron-approach
#17
E J Baerends
It is often stated that the Kohn-Sham occupied-unoccupied gap in both molecules and solids is "wrong". We argue that this is not a correct statement. The KS theory does not allow to interpret the exact KS HOMO-LUMO gap as the fundamental gap (difference (I - A) of electron affinity (A) and ionization energy (I), twice the chemical hardness), from which it indeed differs, strongly in molecules and moderately in solids. The exact Kohn-Sham HOMO-LUMO gap in molecules is much below the fundamental gap and very close to the much smaller optical gap (first excitation energy), and LDA/GGA yield very similar gaps...
June 21, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28602297/quantification-of-coffea-arabica-and-coffea-canephora-var-robusta-concentration-in-blends-by-means-of-synchronous-fluorescence-and-uv-vis-spectroscopies
#18
A Dankowska, A Domagała, W Kowalewski
The potential of fluorescence, UV-Vis spectroscopies as well as the low- and mid-level data fusion of both spectroscopies for the quantification of concentrations of roasted Coffea arabica and Coffea canephora var. robusta in coffee blends was investigated. Principal component analysis was used to reduce data multidimensionality. To calculate the level of undeclared addition, multiple linear regression (PCA-MLR) models were used with lowest root mean square error of calibration (RMSEC) of 3.6% and root mean square error of cross-validation (RMSECV) of 7...
September 1, 2017: Talanta
https://www.readbyqxmd.com/read/28599180/near-infrared-fluorescent-dual-ligand-functionalized-au-ncs-based-multidimensional-sensor-array-for-pattern-recognition-of-multiple-proteins-and-serum-discrimination
#19
Shenghao Xu, Teng Gao, Xiuying Feng, Xiaojian Fan, Gufan Liu, Yaning Mao, Xijuan Yu, Jiehua Lin, Xiliang Luo
Here, a multidimensional sensor array capable of analyzing various proteins and discriminating between serums from different stages of breast cancer patients were developed based on six kinds of near infrared fluorescent dual ligand functionalized Au NCs (functionalized with different amino acids) as sensing receptors. These six kinds of different amino acids functionalized Au NCs were synthesized for the first time within 2h due to the direct donation of delocalized electrons of electron-rich atoms or groups of the ligands to the Au core...
June 6, 2017: Biosensors & Bioelectronics
https://www.readbyqxmd.com/read/28597306/maintenance-of-remission-with-combination-etanercept-dmard-therapy-versus-dmards-alone-in-active-rheumatoid-arthritis-results-of-an-international-treat-to-target-study-conducted-in-regions-with-limited-biologic-access
#20
Karel Pavelka, Nurullah Akkoç, Mustafa Al-Maini, Cristiano A F Zerbini, Dmitry E Karateev, Evgeny L Nasonov, Mahboob U Rahman, Ronald Pedersen, Andrew Dinh, Qi Shen, Radu Vasilescu, Sameer Kotak, Ehab Mahgoub, Bonnie Vlahos
In this transglobal, randomized, double-blind, placebo-controlled, treat-to-target study, the maintenance of efficacy was compared between biologic-and biologic-free-disease-modifying antirheumatic drug (DMARD) combination regimens after low disease activity (LDA) was achieved with biologic DMARD induction therapy. Patients with moderate-to-severe rheumatoid arthritis despite methotrexate therapy received open-label etanercept 50 mg subcutaneously once weekly plus methotrexate with or without other conventional synthetic (cs) DMARDs for 24 weeks...
June 9, 2017: Rheumatology International
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