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https://www.readbyqxmd.com/read/28537727/performance-and-self-consistency-of-the-generalized-dielectric-dependent-hybrid-functional
#1
Nicholas P Brawand, Marco Govoni, Márton Vörös, Giulia Galli
We analyze the performance of the recently proposed screened exchange constant functional (SX) (Phys. Rev. X \textbf{2016}, 10, 642) on the GW100 test set, and we discuss results obtained at different levels of self-consistency. The SX functional is a generalization of dielectric dependent hybrid functionals to finite systems, it is non-empirical and depends on the average screening of the exchange interaction. We compare results for ionization potentials obtained with SX to those of CCSD(T) calculations and experiments and we find excellent agreement, on par with recent state of the art methods based on many body perturbation theory...
May 24, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28537722/a-novel-micro-mea-design-to-precisely-measure-the-in-situ-activity-of-orr-electrocatalysts-for-pemfc
#2
Zhi Long, Yankai Li, Guangrong Deng, Changpeng Liu, Junjie Ge, Shuhua Ma, Wei Xing
An in-situ micro-MEA technique, which could precisely measure the performance of ORR electrocatalyst using Nafion as electrolyte, was designed and compared with regular thin-film rotating-disk electrode (TFRDE) (0.1 M HClO4) and normal in-situ membrane electrode assembly (MEA) tests. Compared to the traditional TFRDE method, the micro-MEA technique makes the acquisition of catalysts' behavior at low potential values easily achieved without being limited by the solubility of O2 in water. At the same time, it successfully mimics the structure of regular MEAs and obtains similar results to a regular MEA, thus providing a new technique to simply measure the electrode activity without being bothered by complicated fabrication of regular MEA...
May 24, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28535616/drug-induced-osteonecrosis-of-the-jaw-the-state-of-the-art
#3
A Fassio, F Bertoldo, L Idolazzi, O Viapiana, M Rossini, D Gatti
Osteonecrosis of the jaw (ONJ) is a rare adverse event of antiresorptive drugs such as bisphosphonates (BP) and denosumab (DMAb). The diagnosis of ONJ is considered in cases where exposed bone in the maxillofacial region does not heal within 8 weeks in a patient previously treated with an antiresorptive agent. In patients with osteoporosis, ONJ is reported as a very rare adverse event while in oncologic patients with bone metastases or malignant hypercalcemia the incidence is significantly higher (up to the 1-10% of the patients)...
May 22, 2017: Reumatismo
https://www.readbyqxmd.com/read/28535601/risk-of-post-fire-metal-mobilization-into-surface-water-resources-a-review
#4
REVIEW
Joji Abraham, Kim Dowling, Singarayer Florentine
One of the significant economic benefits to communities around the world of having pristine forest catchments is the supply of substantial quantities of high quality potable water. This supports a saving of around US$ 4.1 trillion per year globally by limiting the cost of expensive drinking water treatments and provision of unnecessary infrastructure. Even low levels of contaminants specifically organics and metals in catchments when in a mobile state can reduce these economic benefits by seriously affecting the water quality...
May 19, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28535344/clarifying-the-controversial-catalytic-performance-of-co-oh-2-and-co3o4-for-oxygen-reduction-evolution-reactions-toward-efficient-zn-air-batteries
#5
Zhishuang Song, Xiaopeng Han, Yida Deng, Naiqin Zhao, Wenbin Hu, Cheng Zhong
Cobalt-based nanomaterials have been widely studied as catalysts for the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) due to their remarkable bifunctional catalytic activity, low cost and easy available. However, controversial results concerning OER/ORR performance exist between different types of cobalt-based catalysts, especially for Co(OH)2 and Co3O4. To address this issue, we develop a facile electrochemical deposition method to grow Co(OH)2 directly on the skeleton of carbon cloth, and further Co3O4 was obtained by post thermal treatment...
May 23, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28535081/advances-in-antidepressants-for-treating-post-stroke-depression
#6
Stefano Paolucci
Introduction Post-stroke depression (PSD) is a common and serious complication after stroke, occurring in nearly one third of stroke survivors, and affecting mortality rate, functional outcome, rehabilitation results and quality of life. However, in the common clinical practice only a minority of patients are properly treated. A relatively small number of scientific reports are available on clinical usefulness and safety of antidepressants (ADs) in PSD. Areas Covered This report provides an updated review about pharmacological state of art of PSD, including efficacy and safety of different drugs and their role on prevention, treatment and functional outcome...
May 23, 2017: Expert Opinion on Pharmacotherapy
https://www.readbyqxmd.com/read/28534887/when-is-early-antiretroviral-therapy-early-enough-for-hiv-remission
#7
Eva Poveda, Manuelo Cresp
Several strategies to reduce and control the HIV reservoir are being evaluating to achieve the great challenge of HIV remission or functional cure. Some of these are based on immune and gene therapy, or in the use of agents with latency reversing properties. Moreover, acute HIV infection and the impact of early antiretroviral treatment (ART) initiation is another key issue of current research. It has been demonstrated that ART initiation during acute HIV infection minimizes the establishment of the latent HIV reservoir...
May 23, 2017: AIDS Reviews
https://www.readbyqxmd.com/read/28534869/advancing-precambrian-palaeomagnetism-with-the-paleomagia-and-pint-qpi-databases
#8
Toni H Veikkolainen, Andrew J Biggin, Lauri J Pesonen, David A Evans, Nicholas A Jarboe
State-of-the-art measurements of the direction and intensity of Earth's ancient magnetic field have made important contributions to our understanding of the geology and palaeogeography of Precambrian Earth. The PALEOMAGIA and PINT(QPI) databases provide thorough public collections of important palaeomagnetic data of this kind. They comprise more than 4,100 observations in total and have been essential in supporting our international collaborative efforts to understand Earth's magnetic history on a timescale far longer than that of the present Phanerozoic Eon...
May 23, 2017: Scientific Data
https://www.readbyqxmd.com/read/28534806/feature-selection-for-nonstationary-data-application-to-human-recognition-using-medical-biometrics
#9
Majid Komeili, Wael Louis, Narges Armanfard, Dimitrios Hatzinakos
Electrocardiogram (ECG) and transient evoked otoacoustic emission (TEOAE) are among the physiological signals that have attracted significant interest in biometric community due to their inherent robustness to replay and falsification attacks. However, they are time-dependent signals and this makes them hard to deal with in across-session human recognition scenario where only one session is available for enrollment. This paper presents a novel feature selection method to address this issue. It is based on an auxiliary dataset with multiple sessions where it selects a subset of features that are more persistent across different sessions...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28534791/a-self-paced-regularization-framework-for-multilabel-learning
#10
Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha
In this brief, we propose a novel multilabel learning framework, called multilabel self-paced learning, in an attempt to incorporate the SPL scheme into the regime of multilabel learning. Specifically, we first propose a new multilabel learning formulation by introducing a self-paced function as a regularizer, so as to simultaneously prioritize label learning tasks and instances in each iteration. Considering that different multilabel learning scenarios often need different self-paced schemes during learning, we thus provide a general way to find the desired self-paced functions...
May 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534789/boundary-eliminated-pseudoinverse-linear-discriminant-for-imbalanced-problems
#11
Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao
Existing learning models for classification of imbalanced data sets can be grouped as either boundary-based or nonboundary-based depending on whether a decision hyperplane is used in the learning process. The focus of this paper is a new approach that leverages the advantage of both approaches. Specifically, our new model partitions the input space into three parts by creating two additional boundaries in the training process, and then makes the final decision based on a heuristic measurement between the test sample and a subset of selected training samples...
May 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28534785/efficient-hardware-implementation-of-real-time-low-power-movement-intention-detector-system-using-fft-and-adaptive-wavelet-transform
#12
Alireza Chamanzar, Mahdi Shabany, Alireza Malekmohammadi, Sara Mohammadinejad
The brain-computer interfacing (BCI), a platform to extract features and classify different motor movement tasks from noisy and highly correlated electroencephalogram signals, is limited mostly by the complex and power-hungry algorithms. Among different techniques recently devised to tackle this issue, real-time onset detection, due to its negligible delay and minimal power overhead, is the most efficient one. Here, we propose a novel algorithm that outperforms the state-of-the-art design by sixfold in terms of speed, without sacrificing the accuracy for a real-time, hand movement intention detection based on the adaptive wavelet transform with only 1 s detection delay and maximum sensitivity of 88% and selectivity of 78% (only 7% loss of sensitivity)...
May 17, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28534783/nahal-flex-a-numerical-and-alphabetical-hinge-detection-algorithm-for-flexible-protein-structure-alignment
#13
Samira Fotoohifiroozabadi, Mohd Saberi Mohamad, Safaai Deris
Flexible proteins are proteins that have conformational changes in their structures. Protein flexibility analysis is critical for classifying and understanding protein functionality. For that analysis, the hinge areas where proteins show flexibility must be detected. To detect the location of the hinges, previous methods have utilized the three-dimensional (3D) structure of proteins, which is highly computational. To reduce the computational complexity, this study proposes a novel text-based method using structural alphabets (SAs) for detecting the hinge position, called NAHAL-Flex...
May 17, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28534780/katzlgo-large-scale-prediction-of-lncrna-functions-by-using-the-katz-measure-based-on-multiple-networks
#14
Zuping Zhang, Jingpu Zhang, Chao Fan, Yongjun Tang, Lei Deng
Aggregating evidences have shown that long non-coding RNAs (lncRNAs) generally play key roles in cellular biological processes such as epigenetic regulation, gene expression regulation at transcriptional and post-transcriptional levels, cell differentiation and others. However, most lncRNAs have not been functionally characterized. There is an urgent need to develop computational approaches for function annotation of increasing available lncRNAs. In this article, we propose a global network-based method, KATZLGO, to predict the functions of human lncRNAs at large scale...
May 16, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28534774/a-fast-ellipse-detector-using-projective-invariant-pruning
#15
Qi Jia, Xin Fan, Zhongxuan Luo, Lianbo Song, Tie Qiu
Detecting elliptical objects from an image is a central task in robot navigation and industrial diagnosis where the detection time is always a critical issue. Existing methods are hardly applicable to these real-time scenarios of limited hardware resource due to the huge number of fragment candidates (edges or arcs) for fitting ellipse equations. In this paper, we present a fast algorithm detecting ellipses with high accuracy. The algorithm leverages a newly developed projective invariant to significantly prune the undesired candidates and to pick out elliptical ones...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28534773/sparsity-based-color-image-super-resolution-via-exploiting-cross-channel-constraints
#16
Hojjat Mousavi, Vishal Monga
Sparsity constrained single image super-resolution (SR) has been of much recent interest. A typical approach involves sparsely representing patches in a low-resolution (LR) input image via a dictionary of example LR patches, and then using the coefficients of this representation to generate the highresolution (HR) output via an analogous HR dictionary. However, most existing sparse representation methods for super resolution focus on the luminance channel information and do not capture interactions between color channels...
May 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28534768/personalized-age-progression-with-bi-level-aging-dictionary-learning
#17
Xiangbo Shu, Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, Shuicheng Yan
Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging dictionary to reveal its aging characteristics (e.g., wrinkles), where the dictionary bases corresponding to the same index yet from two neighboring aging dictionaries form a particular aging pattern cross these two age groups, and a linear combination of all these patterns expresses a particular personalized aging process...
May 17, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28534765/the-animal-kingdom-is-also-a-bioengineering-field-exploring-the-art-and-science-of-vetinary-medicine-retrospectroscope
#18
Max E Valentinuzzi
Medical science developed in tandem with the evolution of biological species and their associated diseases. Because of the close interaction between humans and other animals, even those in the wild, taking care of the former also means caring for the latter. Several scientific forerunners delved into animals' anatomical and physiological secrets in their quest to better understand animal biology and functions, thereby laying the foundation for animal medicine. Here, I briefly explore the long and complex road that led to the current state of veterinary science and provide a few examples of its present standing...
May 2017: IEEE Pulse
https://www.readbyqxmd.com/read/28534561/dielectrophoretic-assembly-of-liquid-phase-exfoliated-tis3-nanoribbons-for-photodetecting-applications
#19
R Frisenda, E Giovanelli, P Mishra, P Gant, E Flores, C Sánchez, J R Ares, D Perez de Lara, I J Ferrer, E M Pérez, A Castellanos-Gomez
Liquid-phase exfoliation is a technique capable of producing large quantities of two-dimensional materials in suspension. Despite many efforts in the optimization of the exfoliation process itself, not much has been done towards the integration of liquid-phase-exfoliated materials in working solid-state devices. In this article, we use dielectrophoresis to direct the assembly of liquid-phase-exfoliated TiS3 nanoribbons between two gold electrodes to produce photodetectors working in the visible region. Through electrical and optical measurements we characterize the responsivity of the device and we find values as large as 3...
May 23, 2017: Chemical Communications: Chem Comm
https://www.readbyqxmd.com/read/28534535/the-potential-of-organoids-in-urological-cancer-research
#20
REVIEW
Shangqian Wang, Dong Gao, Yu Chen
Technical advances in the development of organoid systems enable cell lines, primary adult cells, or stem or progenitor cells to develop into diverse, multicellular entities, which can self-renew, self-organize, and differentiate. These 3D organoid cultures have proven to be of value in increasing our understanding of the biology of disease and offer the potential of regenerative and genetic therapies. The successful application of 3D organoids derived from adult tissue into urological cancer research can further our understanding of these diseases and could also provide preclinical cancer models to realize the precision medicine paradigm by therapeutic screening of individual patient samples ex vivo...
May 23, 2017: Nature Reviews. Urology
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