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https://www.readbyqxmd.com/read/29346417/xylose-donor-transport-is-critical-for-fungal-virulence
#1
Lucy X Li, Carsten Rautengarten, Joshua L Heazlewood, Tamara L Doering
Cryptococcus neoformans, an AIDS-defining opportunistic pathogen, is the leading cause of fungal meningitis worldwide and is responsible for hundreds of thousands of deaths annually. Cryptococcal glycans are required for fungal survival in the host and for pathogenesis. Most glycans are made in the secretory pathway, although the activated precursors for their synthesis, nucleotide sugars, are made primarily in the cytosol. Nucleotide sugar transporters are membrane proteins that solve this topological problem, by exchanging nucleotide sugars for the corresponding nucleoside phosphates...
January 2018: PLoS Pathogens
https://www.readbyqxmd.com/read/29346321/new-control-paradigms-for-resources-saving-an-approach-for-mobile-robots-navigation
#2
Rafael Socas, Raquel Dormido, Sebastián Dormido
In this work, an event-based control scheme is presented. The proposed system has been developed to solve control problems appearing in the field of Networked Control Systems (NCS). Several models and methodologies have been proposed to measure different resources consumptions. The use of bandwidth, computational load and energy resources have been investigated. This analysis shows how the parameters of the system impacts on the resources efficiency. Moreover, the proposed system has been compared with its equivalent discrete-time solution...
January 18, 2018: Sensors
https://www.readbyqxmd.com/read/29346103/wavedec-a-wavelet-approach-to-identify-both-shared-and-individual-patterns-of-copy-number-variations
#3
Hongmin Cai, Peihua Chen, Jiazhou Chen, Jiulun Cai, Yan Song, Guoqiang Han
Copy-number variations (CNVs) are associated with complex diseases and particular tumor types. Array-based comparative genomic hybridization (aCGH) is a common approach for the detection of CNVs. Traditional CNV detection methods for multiple aCGH samples mainly use batch samples to find common variations, not accounting for the individual characteristics of each sample. Accurately differentiating both the commonly shared and the individual CNV patterns is pivotal to identify cell populations, or to distinguish cell growth (as in cancer) from invasion of new cells...
February 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29346101/stacked-denoising-tensor-auto-encoder-for-action-recognition-with-spatiotemporal-corruptions
#4
Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu
Spatially or temporally corrupted action videos are impractical for recognition via vision or learning models. It usually happens when streaming data are captured from unintended moving cameras, which bring occlusion or camera vibration and accordingly result in arbitrary loss of spatiotemporal information. In reality, it is intractable to deal with both spatial and temporal corruptions at the same time. In this paper, we propose a coupled stacked denoising tensor auto-encoder (CSDTAE) model, which approaches this corruption problem in a divide-and-conquer fashion by jointing both the spatial and temporal schemes together...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29346094/reweighted-low-rank-matrix-analysis-with-structural-smoothness-for-image-denoising
#5
Hengyou Wang, Yigang Cen, Zhiquan He, Zhihai He, Ruizhen Zhao, Fengzhen Zhang
In this paper, we develop a new low-rank matrix recovery algorithm for image denoising. We incorporate the total variation (TV) norm and the pixel range constraint into the existing reweighted low-rank matrix analysis to achieve structural smoothness and to significantly improve quality in the recovered image. Our proposed mathematical formulation of the low-rank matrix recovery problem combines the nuclear norm, TV norm, and norm, thereby allowing us to exploit the low-rank property of natural images, enhance the structural smoothness, and detect and remove large sparse noise...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29346093/multipolarization-through-wall-radar-imaging-using-low-rank-and-jointly-sparse-representations
#6
Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung
Compressed sensing techniques have been applied to through-the-wall radar imaging (TWRI) and multipolarization TWRI for fast data acquisition and enhanced target localization. The studies so far in this area have either assumed effective wall clutter removal prior to image formation or performed signal estimation, wall clutter mitigation, and image formation independently. This paper proposes a low-rank and sparse imaging model for jointly addressing the problem of wall clutter mitigation and image formation in multichannel TWRI...
April 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/29345749/self-production-of-oxygen-system-cao2-mno2-pda-mb-for-the-photodynamic-therapy-research-and-switch-control-tumor-cell-imaging
#7
Chenhui Ji, Zhongzhong Lu, Yonghui Xu, Beibei Shen, Shiyong Yu, Dan Shi
Photodynamic therapy (PDT) holds promise in biochemical study and tumor treatment. A novel multifunctional nanosystem CaO2 /MnO2 @polydopamine (PDA)-methylene blue (MB) nanosheet (CMP-MB) was designed. CaO2 nanoparticles were encapsulated by MnO2 nanosheet, and then PDA was coated on the surface of CaO2 /MnO2 nanosheets, which could adsorb photosensitizer MB through hydrophobic interaction or π-π stacking. In this nanosystem, CaO2 /MnO2 had the ability of self-production of oxygen, which solved the problem of tumor hypoxia largely...
January 18, 2018: Journal of Biomedical Materials Research. Part B, Applied Biomaterials
https://www.readbyqxmd.com/read/29345743/refining-mortality-estimates-in-shark-demographic-analyses-a-bayesian-inverse-matrix-approach
#8
Jonathan J Smart, André E Punt, William T White, Colin A Simpfendorfer
Leslie matrix models are an important analysis tool in conservation biology that are applied to a diversity of taxa. The standard approach estimates the finite rate of population growth (λ) from a set of vital rates. In some instances, an estimate of λ is available, but the vital rates are poorly understood and can be solved for using an inverse matrix approach. However, these approaches are rarely attempted due to pre-requisites of information on the structure of age or stage-classes. This study addressed this issue by using a combination of Monte Carlo simulations and the sample-importance-resampling (SIR) algorithm to solve the inverse matrix problem without data on population structure...
January 18, 2018: Ecological Applications: a Publication of the Ecological Society of America
https://www.readbyqxmd.com/read/29345713/synthetic-and-immunological-studies-on-trimeric-muc1-immunodominant-motif-antigen-based-anti-cancer-vaccine-candidates
#9
Mingjing Li, Fan Yu, Chao Yao, Peng George Wang, Yonghui Liu, Wei Zhao
Therapeutic vaccines have been regarded as a very promising treatment modality against cancer. Tumor-associated MUC1 is a promising antigen for the design of antitumor vaccines. However, body's immune tolerance and low immunogenicity of MUC1 glycopeptides limited their use as effective antigen epitopes of therapeutic vaccines. To solve this problem, we chose the immune dominant region of MUC1 VNTRs. We designed and synthesized its linear trivalent glycopeptide fragments and coupled the fragments with BSA. Immunological evaluation indicated that the antibodies induced by glycosylated MUC1 based vaccine 11 had a stronger binding than non-glycosylated 10...
January 18, 2018: Organic & Biomolecular Chemistry
https://www.readbyqxmd.com/read/29345425/eligibility-of-sacubitril-valsartan-in-a-real-world-heart-failure-population-a-community-based-single-centre-study
#10
Helena Norberg, Ellinor Bergdahl, Krister Lindmark
AIMS: This study aims to investigate the eligibility of the Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor (ARNI) with ACE inhibitor to Determine Impact on Global Mortality and Morbidity in Heart Failure (PARADIGM-HF) study to a real-world heart failure population. METHODS AND RESULTS: Medical records of all heart failure patients living within the catchment area of Umeå University Hospital were reviewed. This district consists of around 150 000 people...
January 18, 2018: ESC Heart Failure
https://www.readbyqxmd.com/read/29344463/team-based-learning-strategy-in-biochemistry-perceptions-and-attitudes-of-faculty-and-1st-year-medical-students
#11
Namrata Chhabra, Sahiba Kukreja, Sarah Chhabra, Sahil Chhabra, Sameenah Khodabux, Harshal Sabane
Background: Team-based learning (TBL) strategy has been widely adapted by medical schools all over the world, but the reports regarding the perceptions and the attitudes of faculty and undergraduate medical students towards TBL approach have been conflicting. Aim: The study aimed to introduce TBL strategy in curriculum of Biochemistry after evaluating its effectiveness through perceptions and attitudes of faculty and 1st-year medical students. Materials and Methods: One hundred and fifty students of first professional M...
December 2017: International Journal of Applied and Basic Medical Research
https://www.readbyqxmd.com/read/29344451/evaluation-of-brainstorming-session-as-a-teaching-learning-tool-among-postgraduate-medical-biochemistry-students
#12
Binita Goswami, Anju Jain, Bidhan Chandra Koner
Background: The thrust for postgraduate teaching should be self-directed learning with equal participation by all students in academic discussions. Group discussions involve conduction of the discourse by a leader who guides the discussion as well as points out any wrong information. This discourages quieter students from participation with the fear of rebuke. Brainstorming is devoid of all such fallacies with no judgment and reprimand. Aim: The aim of this study was to use brainstorming as a teaching-learning tool among postgraduate students of medical biochemistry...
December 2017: International Journal of Applied and Basic Medical Research
https://www.readbyqxmd.com/read/29342944/a-novel-adaptive-modulation-based-on-nondata-aided-error-vector-magnitude-in-non-line-of-sight-condition-of-wireless-sensor-network
#13
Fan Yang, Xiaoping Zeng, Haiwei Mao, Xin Jian, Xiaoheng Tan, Derong Du
The high demand for multimedia applications in environmental monitoring, invasion detection, and disaster aid has led to the rise of wireless sensor network (WSN). With the increase of reliability and diversity of information streams, the higher requirements on throughput and quality of service (QoS) have been put forward in data transmission between two sensor nodes. However, lower spectral efficiency becomes a bottleneck in non-line-of-sight (NLOS) transmission of WSN. This paper proposes a novel nondata-aided error vector magnitude based adaptive modulation (NDA-EVM-AM) to solve the problem...
January 15, 2018: Sensors
https://www.readbyqxmd.com/read/29342396/cross-domain-metric-and-multiple-kernel-learning-based-on-information-theory
#14
Wei Wang, Hao Wang, Chen Zhang, Yang Gao
Learning an appropriate distance metric plays a substantial role in the success of many learning machines. Conventional metric learning algorithms have limited utility when the training and test samples are drawn from related but different domains (i.e., source domain and target domain). In this letter, we propose two novel metric learning algorithms for domain adaptation in an information-theoretic setting, allowing for discriminating power transfer and standard learning machine propagation across two domains...
January 17, 2018: Neural Computation
https://www.readbyqxmd.com/read/29342247/peath-single-individual-haplotyping-by-a-probabilistic-evolutionary-algorithm-with-toggling
#15
Joong Chae Na, Jong-Chan Lee, Je-Keun Rhee, Soo-Yong Shin
Motivation: Single individual haplotyping (SIH) is critical in genomic association studies and genetic diseases analysis. However, most genomic analysis studies do not perform haplotype-phasing analysis due to its complexity. Several computational methods have been developed to solve the SIH problem, but these approaches have not generated sufficiently reliable haplotypes. Results: Here, we propose a novel SIH algorithm, called PEATH (Probabilistic Evolutionary Algorithm with Toggling for Haplotyping), to achieve more accurate and reliable haplotyping...
January 12, 2018: Bioinformatics
https://www.readbyqxmd.com/read/29342158/real-time-community-detection-in-full-social-networks-on-a-laptop
#16
Benjamin Paul Chamberlain, Josh Levy-Kramer, Clive Humby, Marc Peter Deisenroth
For a broad range of research and practical applications it is important to understand the allegiances, communities and structure of key players in society. One promising direction towards extracting this information is to exploit the rich relational data in digital social networks (the social graph). As global social networks (e.g., Facebook and Twitter) are very large, most approaches make use of distributed computing systems for this purpose. Distributing graph processing requires solving many difficult engineering problems, which has lead some researchers to look at single-machine solutions that are faster and easier to maintain...
2018: PloS One
https://www.readbyqxmd.com/read/29341442/motivating-influences-and-ability-based-outcomes-of-dental-hygiene-baccalaureate-education-in-canada
#17
Z Kanji, D M Laronde
BACKGROUND: There is a scarcity of studies on Canadian baccalaureate dental hygienists. As discussions about baccalaureate education for dental hygiene continue on a national level, examining outcomes of earning a dental hygiene degree is paramount. OBJECTIVE: To investigate the motivating reasons and ability-based outcomes of earning a Bachelor of Dental Science in Dental Hygiene (BDSc) degree from the University of British Columbia (UBC), Canada. METHODS: UBC dental hygiene entry-to-practice (ETP) and degree-completion (DC) graduates (n = 116; 32%) from 1994 to 2016 participated in an online mixed-methods survey...
January 17, 2018: International Journal of Dental Hygiene
https://www.readbyqxmd.com/read/29341375/transparency-enhancing-technology-allows-three-dimensional-assessment-of-gastrointestinal-mucosa-a-porcine-model
#18
Hiroya Mizutani, Satoshi Ono, Tetsuo Ushiku, Yotaro Kudo, Masako Ikemura, Natsuko Kageyama, Nobutake Yamamichi, Mitsuhiro Fujishiro, Takao Someya, Masashi Fukayama, Kazuhiko Koike, Hiroshi Onodera
Although high-resolution three-dimensional imaging of endoscopically resected gastrointestinal specimens can help elucidating morphological features of gastrointestinal mucosa or tumor, there are no established methods to achieve this without breaking specimens apart. We evaluated the utility of transparency-enhancing technology for three-dimensional assessment of gastrointestinal mucosa in porcine models. Esophagus, stomach, and colon mucosa samples obtained from a sacrificed swine were formalin-fixed and paraffin-embedded, and subsequently deparaffinized for analysis...
January 17, 2018: Pathology International
https://www.readbyqxmd.com/read/29340803/robust-exponential-memory-in-hopfield-networks
#19
Christopher J Hillar, Ngoc M Tran
The Hopfield recurrent neural network is a classical auto-associative model of memory, in which collections of symmetrically coupled McCulloch-Pitts binary neurons interact to perform emergent computation. Although previous researchers have explored the potential of this network to solve combinatorial optimization problems or store reoccurring activity patterns as attractors of its deterministic dynamics, a basic open problem is to design a family of Hopfield networks with a number of noise-tolerant memories that grows exponentially with neural population size...
January 16, 2018: Journal of Mathematical Neuroscience
https://www.readbyqxmd.com/read/29340616/pychimera-use-ucsf-chimera-modules-in-any-python-2-7-project
#20
Jaime Rodríguez-Guerra Pedregal, Jean-Didier Maréchal
Motivation: UCSF Chimera (Pettersen et al., 2004) is a powerful visualization tool remarkably present in the computational chemistry and structural biology communities. Built on a C ++ core wrapped under a Python 2.7 environment, one could expect to easily import UCSF Chimera's arsenal of resources in custom scripts or software projects. Nonetheless, this is not readily possible if the script is not executed within UCSF Chimera due to the isolation of the platform. UCSF ChimeraX (Goddard et al...
January 11, 2018: Bioinformatics
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