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Förster resonance energy transfer (FRET) is ubiquitous in optical processes in the natural world. A methodology is proposed that uses an optical force to control its efficiency without contact in an aqueous solution of a thermo‐responsive polymer, polyvinyl methyl ether (PVME). Focusing irradiation of a near infrared laser beam into the solution results in the formation and trapping of a single polymer droplet. The polymer concentration in the droplet is controllable by changing the optical force from the laser light is shown. The polarity inside the droplet decreases with increasing the optical force. When small amounts of dye molecules, D (energy donor) and A (energy accepter), are dissolved in the polymer solution, D and A are absorbed (extracted) into the droplet. The concentrations of D and A are controllable by the optical force. Based on this mechanism, FRET between D and A is induced successfully, and can control the FRET efficiency. Finally, the modulation of fluorescence color of the droplet from blue, green, yellow, to an orange color is demosntrated simply by changing the optical force. The concept and technique are unique and will open a new channel to develop droplet chemistry and photochemistry. [ABSTRACT FROM AUTHOR]

Ocean warming profoundly impacts microbes in marine environments; yet, how lifestyle (e.g., free living versus biofilm associated) affects the bacterial response to rising temperature is not clear. Here, we compared transcriptional, enzymatic, and physiological responses of free-living and biofilm-associated Leisingera aquaemixtae M597, a member of the Roseobacteraceae family isolated from marine biofilms, to the increase in temperature from 25°C to 31°C. Complete genome sequencing and metagenomics revealed the prevalence of M597 in global ocean biofilms. Transcriptomics suggested a significant effect on the expression of genes related to carbohydrate metabolism, nitrogen and sulfur metabolism, and phosphorus utilization of free-living M597 cells due to temperature increase, but such drastic alterations were not observed in its biofilms. In the free-living state, the transcription of the key enzyme participating in the Embden-Meyerhof-Parnas pathway was significantly increased due to the increase in temperature, accompanied by a substantial decrease in the Entner-Doudoroff pathway, but transcripts of these glycolytic enzymes in biofilm-forming strains were independent of the temperature variation. The correlation between the growth condition and the shift in glycolytic pathways under temperature change was confirmed by enzymatic activity assays. Furthermore, the rising temperature affected the growth rate and the production of intracellular reactive oxygen species when M597 cells were free living rather than in biofilms. Thus, biofilm formation stabilizes metabolism in M597 when grown under high temperature and this homeostasis is probably related to the glycolytic pathways. [ABSTRACT FROM AUTHOR]

Simultaneous localization and mapping (SLAM) is essential for intelligent robots operating in unknown environments. However, existing algorithms are typically developed for specific types of solid-state LiDARs, leading to weak feature representation abilities for new sensors. Moreover, LiDAR-based SLAM methods are limited by distortions caused by LiDAR ego motion. To address the above issues, this paper presents a versatile and velocity-aware LiDAR-based odometry and mapping (VLOM) system. A spherical projection-based feature extraction module is utilized to process the raw point cloud generated by various LiDARs, hence avoiding the time-consuming adaptation of various irregular scan patterns. The extracted features are grouped into higher-level clusters to filter out smaller objects and reduce false matching during feature association. Furthermore, bundle adjustment is adopted to jointly estimate the poses and velocities for multiple scans, effectively improving the velocity estimation accuracy and compensating for point cloud distortions. Experiments on publicly available datasets demonstrate the superiority of VLOM over other state-of-the-art LiDAR-based SLAM systems in terms of accuracy and robustness. Additionally, the satisfactory performance of VLOM on RS-LiDAR-M1, a newly released solid-state LiDAR, shows its applicability to a wide range of LiDARs. [ABSTRACT FROM AUTHOR]

The shear thinning of a lubricant significantly affects lubrication film generation at high shear rates. The critical shear rate, defined at the onset of shear thinning, marks the transition of lubricant behaviors. It is challenging to capture the entire shear-thinning curve by means of molecular dynamics (MD) simulations owing to the low signal-to-noise ratio or long calculation time at comparatively low shear rates (104-106 s-1), which is likely coincident with the shear rates of interest for lubrication applications. This paper proposes an approach that correlates the shear-thinning phenomenon with the change in the molecular conformation characterized by the radius of gyration of the molecule. Such a correlation should be feasible to capture the major mechanism of shear thinning for smallto moderate-sized non-spherical molecules, which is shear-induced molecular alignment. The idea is demonstrated by analyzing the critical shear rate for squalane (C30H62) and 1-decene trimer (C30H62); it is then implemented to study the behaviors of different molecular weight poly-α-olefin (PAO) structures. Time-temperature-pressure superpositioning (TTPS) is demonstrated and it helps further extend the ranges of the temperature and pressure for shear-thinning behavior analyses. The research leads to a relationship between molecular weight and critical shear rate for PAO structures, and the results are compared with those from the Einstein-Debye equation. [ABSTRACT FROM AUTHOR]

The anionic silicon clusters doped with three boron atoms, B3Sin- (n = 4-10), have been generated by laser vaporization and investigated by anion photoelectron spectroscopy. The vertical detachment energies (VDEs) and adiabatic detachment energies (ADEs) of these anionic clusters are determined. The lowest energy structures of B3Sin- (n = 4-10) clusters are globally searched using genetic algorithm incorporated with density functional theory (DFT) calculations. The photoelectron spectra, VDEs, ADEs of these B3Sin- clusters (n = 4-10) are simulated using B3LYP/6-311+G(d) calculations. Satisfactory agreement is found between theory and experiment. Most of the lowest-energy structures of B3Sin- (n = 4-10) clusters can be derived by using the squashed pentagonal bipyramid structure of B3Si4- as the major building unit. Analyses of natural charge populations show that the boron atoms always possess negative charges, and that the electrons transfer from the 3s orbital of silicon and the 2s orbital of boron to the 2p orbital of boron. The calculated average binding energies, second-order differences of energies, and the HOMO-LUMO gaps show that B3Si6- and B3Si9- clusters have relatively high stability and enhanced chemical inertness. In particular, the B3Si9- cluster with high symmetry (C3v) stands out as an interesting superatom cluster with a magic number of 40 skeletal electrons and a closed-shell electronic configuration of 1S²1P61D102S²2P61F14 for superatom orbitals. [ABSTRACT FROM AUTHOR]

In order to shorten the deflagration-to-detonation transition (DDT) distance of the pulse detonation combustion chamber, an experimental study of the effect of pneumatic atomization injector modification on atomization particle size amd gas-liquid two-phase U-bend pulse detonation combustion (U-PDC) chamber was carried out. Gasoline and air were used as fuel and oxidizer, and the atomization particle size was tested and the detonation characteristics of the U-PDC were obtained using the pneumatic atomization injector before and after the modification. The results show that the atomization size range of the injector before the modification is 111.6~152.9 µm, after the modification of the injector atomization size range of 76.4~107.2 µm, atomization size than before the modification is significantly reduced. The U-PDC using the injector before and after the modification can achieve stable operation in the range of 10~30 Hz, and the DDT distance shortened with the increase in frequency. At an operating frequency of 30 Hz, the DDT distance of U-PDC with the injector before modification is about 676 mm, and the DDT distance of U-PDC with injector after modification is shortened by 8.9% to about 616 mm. In addition, under the same operating conditions, due to the better atomization effect of the injector after modification, The fuel flow rate of U-PDC with the injector after modification is 5~10% smaller than that with the injector before modification when the average detonation pressure reaches its maximum value during the adjustment of fuel-flow. [ABSTRACT FROM AUTHOR]

Grey prediction theory is an important part of grey system theory. As one of the important models of grey prediction theory, GM (1,1) model has been widely used in economy, management, energy and other fields. In order to improve the prediction accuracy of the classical GM (1,1) model, this paper proposes a combined optimization method, that is, the difference equation is used to replace the static equation in the classical model, and the variable weight is used to construct the background value to reduce the system error caused by human intervention. Taking the domestic soybean annual consumption data as an example, the validity of the combined model is verified. The results show that the prediction accuracy of the combined optimization model is significantly better than that of the classical GM (1,1) model. [ABSTRACT FROM AUTHOR]

Easton's framework for theorizing political support continues to be influential for pertinent research. However, due to the complexity of Easton's arguments, there is some confusion on how to classify and measure political support in existing research. Building upon Easton's arguments, we propose a two-dimensional cognitive framework to examine political support, which not only adequately captures Easton's essential arguments but also effectively incorporates recent findings in cognitive psychology. Using the framework and multiple national surveys, we assess different instruments widely used to measure regime support in China. We clarify some confusion in the operationalization of political support, establish the salience of institutional settings in shaping its latent structure, assess key survey instruments of regime support, and offer guidelines on how to appropriately interpret related findings. [ABSTRACT FROM AUTHOR]

Bayesian (machine) learning has been playing a significant role in machine learning for a long time due to its particular ability to embrace uncertainty, encode prior knowledge, and endow interpretability. On the back of Bayesian learning’s great success, Bayesian nonparametric learning (BNL) has emerged as a force for further advances in this field due to its greater modelling flexibility and representation power. Instead of playing with the fixed-dimensional probabilistic distributions of Bayesian learning, BNL creates a new “game” with infinite-dimensional stochastic processes. BNL has long been recognised as a research subject in statistics, and, to date, several state-of-the-art pilot studies have demonstrated that BNL has a great deal of potential to solve real-world machine-learning tasks. However, despite these promising results, BNL has not created a huge wave in the machine-learning community. Esotericism may account for this. The books and surveys on BNL written by statisticians are overcomplicated and filled with tedious theories and proofs. Each is certainly meaningful but may scare away newresearchers, especially thosewith computer science backgrounds. Hence, the aim of this article is to provide a plain-spoken, yet comprehensive, theoretical survey of BNL in terms that researchers in the machine-learning community can understand. It is hoped this survey will serve as a starting point for understanding and exploiting the benefits of BNL in our current scholarly endeavours. To achieve this goal,we have collated the extant studies in this field and aligned themwith the steps of a standard BNL procedure—from selecting the appropriate stochastic processes through manipulation to executing the model inference algorithms. At each step, past efforts have been thoroughly summarised and discussed. In addition, we have reviewed the common methods for implementing BNL in various machine-learning tasks along with its diverse applications in the real world as examples to motivate future studies. [ABSTRACT FROM AUTHOR]

A digital eight-element beamforming RF modulator allows accurate steering of multiple independent beams. The key to the efficiency is the pairing of area-efficient bandpass $\Delta \Sigma $ modulation with N-path filtering to suppress quantization noise. Beamforming digital signal processing (DSP) is enabled by careful frequency management, which facilitates efficient digital phase shifting, upsampling, and upconversion. A 40-nm CMOS prototype generates two 1.2-GHz beams, with 40-MHz RF bandwidth. The prototype consumes 128 mW and occupies an active area of only 0.19 mm2, which is only 16 mW and 0.02 mm2 per element. This represents an order-of-magnitude improvement in area and power consumption per element compared to the state-of-the-art digital to RF modulators. [ABSTRACT FROM AUTHOR]

Ritonavir (RTV) is on the World Health Organization's List of Essential Medicines for antiretroviral therapy, but can cause hepatotoxicity by unknown mechanisms. Multiple clinical studies found that hepatotoxicity occurred in 100% of participants who were pretreated with rifampicin or efavirenz followed by RTV-containing regimens. Both rifampicin and efavirenz are activators of the pregnane X receptor (PXR), a transcription factor with significant inter-species differences in ligand-dependent activation. Using PXR-humanized mouse models, we recapitulated the RTV hepatotoxicity observed in the clinic. PXR was found to modulate RTV hepatotoxicity through CYP3A4-dependent pathways involved in RTV bioactivation, oxidative stress, and endoplasmic reticulum stress. In summary, the current work demonstrated the essential roles of human PXR and CYP3A4 in RTV hepatotoxicity, which can be applied to guide the safe use of RTV-containing regimens in the clinic. [ABSTRACT FROM AUTHOR]

Eukaryotic cell metabolism consists of processes that generate available energy, such as glycolysis, the tricarboxylic acid (TCA) cycle, and oxidative phosphorylation (Oxphos), and those that consume it, including macromolecular synthesis, the maintenance of ionic gradients, and cellular detoxification. By converting pyruvate to acetyl-CoA (AcCoA), the pyruvate dehydrogenase (PDH) complex (PDC) links glycolysis and the TCA cycle. Surprisingly, disrupting the connection between glycolysis and the TCA cycle by inactivation of PDC has only minor effects on cell replication. However, the molecular basis for this metabolic re-equilibration is unclear. We report here that CRISPR/Cas9-generated PDH-knockout (PDH-KO) rat fibroblasts reprogrammed their metabolism and their response to short-term c-Myc (Myc) oncoprotein overexpression. PDH-KO cells replicated normally but produced surprisingly little lactate. They also exhibited higher rates of glycolysis and Oxphos. In addition, PDH-KO cells showed altered cytoplasmic and mitochondrial pH, redox states, and mitochondrial membrane potential (ΔΨM). Conditionally activated Myc expression affected some of these parameters in a PDH-dependent manner. PDH-KO cells had increased oxygen consumption rates in response to glutamate, but not to malate, and were depleted in all TCA cycle substrates between α-ketoglutarate and malate despite high rates of glutaminolysis, as determined by flux studies with isotopically labeled glutamine. Malate and pyruvate were diverted to produce aspartate, thereby potentially explaining the failure to accumulate lactate. Weconclude thatPDH-KO cells maintain proliferative capacity by utilizing glutamine to supply high rates of AcCoA-independent flux through the bottom portion of the TCA cycle while accumulating pyruvate and aspartate that rescue their redox defects. [ABSTRACT FROM AUTHOR]

Arabidopsis seed development involves maternal small interfering RNAs (siRNAs) that induce RNA-directed DNA methylation (RdDM) through the NRPD1-mediated pathway. To investigate their biological functions, we characterized siRNAs in the endosperm and seed coat that were separated by laser-capture microdissection (LCM) in reciprocal genetic crosses with an nrpd1 mutant. We also monitored the spatial-temporal activity of the NRPD1-mediated pathway on seed development using the AGO4:GFP::AGO4 (promoter:GFP::protein) reporter and promoter:GUS sensors of siRNA-mediated silencing. From these approaches, we identified four distinct groups of siRNA loci dependent on or independent of the maternal NRPD1 allele in the endosperm or seed coat. A group of maternally expressed NRPD1-siRNA loci targets endosperm-preferred genes, including those encoding AGAMOUS-LIKE (AGL) transcription factors. Using translational promoter:AGL::GUS constructs as sensors, we demonstrate that spatial and temporal expression patterns of these genes in the endosperm are regulated by the NRPD1-mediated pathway irrespective of complete silencing (AGL91) or incomplete silencing (AGL40) of these target genes. Moreover, altered expression of these siRNA-targeted genes affects seed size. We propose that the corresponding maternal siRNAs could account for parent-of-origin effects on the endosperm in interploidy and hybrid crosses. These analyses reconcile previous studies on siRNAs and imprinted gene expression during seed development. [ABSTRACT FROM AUTHOR]

The aim of this work is to enable increased production of aromatics by the use of salen-porphyrin complex (ZnPSC6) as a binuclear catalyst for the catalytic oxidation of Indulin AT lignin. Catalytic activity was enhanced by the increase in active sites, as confirmed by the results observed in the conversion of lignin model compounds and Indulin AT lignin compared with processes using the mononuclear complexes Zn(salen) and Zn(Phe-TPP). The yields of long and convoluted aromatics from the catalytic oxidation of Indulin AT lignin with ZnPSC6 reached high values after reaction at 80°C for 24 h. Notably, the formation of vanillin was promoted by the increase in active sites over ZnPSC6. This was followed by a significant decrease of β-O-4 linkages and refractory condensed substructures in the lignin, induced by ZnPSC6. This may be expected to be an important area for further study. [ABSTRACT FROM AUTHOR]

The nasal carriage rate of Staphylococcus aureus in human is 25 to 30%, and S. aureus sporadically causes severe infections. However, the mechanisms underlying staphylococcal carriage remain largely unknown. In the present study, we constructed an rpoB-based microbiome method for staphylococcal species discrimination. Based on a microbiome scheme targeting viable cell DNA using propidium monoazide (PMA) dye (PMA microbiome method), we also developed a new method to allow the comprehensive viability analysis of any bacterial taxon. To clarify the ecological distribution of staphylococci in the nasal microbiota, we applied these methods in 46 nasal specimens from healthy adults. PMA microbiome results showed that Staphylococcaceae and Corynebacteriaceae were the most predominant viable taxa (average relative abundance: 0.435262 and 0.375195, respectively), and Staphylococcus epidermidis exhibited the highest viability in the nasal microbiota. Staphylococcus aureus detection rates from nasal specimens by rpoB-based conventional and PMA microbiome methods were 84.8% (39 of 46) and 69.5% (32 of 46), respectively, which substantially exceeded the values obtained by a culture method using identical specimens (36.9%). Our results suggest that Staphylococcaceae species, especially S. epidermidis, adapted most successfully to human nasal cavity. High detection of S. aureus DNA by microbiome methods suggests that almost all healthy adults are consistently exposed to S. aureus in everyday life. Furthermore, the large difference in S. aureus detection rates between culture and microbiome methods suggests that S. aureus cells frequently exist in a viable but nonculturable state in nasal cavities. Our method and findings will contribute to a better understanding of the mechanisms underlying carriage of indigenous bacteria. [ABSTRACT FROM AUTHOR]

The effect of corona block length on micelle structure and molecular chain exchange kinetics has been investigated for a series of dilute poly(styrene)-b-poly(ethylene-alt-propylene) (SEP) diblock copolymer micelles with constant PS core block length (〈Ncore〉 ≈ 255) but different PEP corona block lengths (〈Ncorona〉 = 256-2080), using a combination of dynamic light scattering (DLS), small-angle X-ray scattering (SAXS), and time-resolved small-angle neutron scattering (TR-SANS). Smaller core radii and aggregation numbers, but significantly thicker corona layers (proportional to Ncorona0.7), were observed with increasing corona block length. Furthermore, 2 orders of magnitude more rapid chain exchange was observed in SEP micelles with the longest corona block compared to the shortest. This effect is attributed to the entropic gain arising from the relief of corona chain stretching upon chain expulsion. We further extend a previous theoretical model by explicitly including a corona term associated with the entropy change in the chain exchange process, which successfully explains the influence of the corona blocks on chain exchange. Our results are in excellent agreement with simulation results of Li and Dormidontova but are apparently contradictory with Halperin and Alexander's theory for hairy micelles and with experimental observations in two other systems that the exchange kinetics slow down with increasing corona block length. These discrepancies reveal unanticipated complexity regarding the role of the corona block in chain exchange. [ABSTRACT FROM AUTHOR]

We measured the photoelectron spectra of diatomic AuSi- and AuGe- and conducted calculations on the structures and electronic properties of AuSi-/0 and AuGe-/0. The calculations at the CASSCF/CASPT2 level confirmed that experimentally observed spectra features of AuSi- and AuGe- can be attributed to the transitions from the 3Σ- anionic ground state to the 2Π (2Π1/2 and 2Π3/2), 4Σ-, 32Σ+, and 42Σ+ electronic states of their neutral counterparts. The electron affinities (EAs) of AuSi and AuGe are determined by the experiments to be 1.54 ± 0.05 and 1.51 ± 0.05 eV, respectively. The spin-orbit splittings (2Π1/2-2Π3/2) of AuSi and AuGe measured in this work are in agreement with the literature values. The energy difference between the 4Σ- (A) and 2Π1/2 states of AuSi obtained in this work is in reasonable agreement with the literature value, while that of AuGe obtained in this work by anion photoelectron spectroscopy is slightly larger than the literature value by neutral emission spectroscopy. The term energies of the 32Σ+ (B) and 42Σ + (C) states of AuSi and AuGe were also determined based on the photoelectron spectra. Because of the different bond lengths between the anionic and neutral states, the electronic state terms energies of AuSi and AuGe estimated from the anion photoelectron spectra might be slightly different from those obtained from the neutral emission spectra. [ABSTRACT FROM AUTHOR]

Classification of healthy and diseased wheat heads in a rapid and non-destructive manner for the early diagnosis of Fusarium head blight disease research is difficult. Our work applies a deep neural network classification algorithm to the pixels of hyperspectral image to accurately discern the disease area. The spectra of hyperspectral image pixels in a manually selected region of interest are preprocessed via mean removal to eliminate interference, due to the time interval and the environment. The generalization of the classification model is considered, and two improvements are made to the model framework. First, the pixel spectra data are reshaped into a two-dimensional data structure for the input layer of a Convolutional Neural Network (CNN). After training two types of CNNs, the assessment shows that a two-dimensional CNN model is more efficient than a one-dimensional CNN. Second, a hybrid neural network with a convolutional layer and bidirectional recurrent layer is reconstructed to improve the generalization of the model. When considering the characteristics of the dataset and models, the confusion matrices that are based on the testing dataset indicate that the classification model is effective for background and disease classification of hyperspectral image pixels. The results of the model show that the two-dimensional convolutional bidirectional gated recurrent unit neural network (2D-CNN-BidGRU) has an F1 score and accuracy of 0.75 and 0.743, respectively, for the total testing dataset. A comparison of all the models shows that the hybrid neural network of 2D-CNN-BidGRU is the best at preventing over-fitting and optimize the generalization. Our results illustrate that the hybrid structure deep neural network is an excellent classification algorithm for healthy and Fusarium head blight diseased classification in the field of hyperspectral imagery. [ABSTRACT FROM AUTHOR]

Macrolides antibiotics have been effectively used in many chronic diseases, especially with Pseudomonas aeruginosa (P. aeruginosa) infection. The mechanisms underlying the therapeutic effects of macrolides in these diseases remain poorly understood. We established a mouse model of chronic lung infection using P. aeruginosa agar-beads, with azithromycin treatment or placebo. Lung injury, bacterial clearance, and inflammasome-related proteins were measured. In vitro, the inflammasomes activation induced by flagellin or ATP were assessed in LPS-primed macrophages with or without macrolides treatment. Plasma IL-18 levels were determined from patients who were diagnosed with bronchiectasis isolated with or without P. aeruginosa and treated with azithromycin for 3-5 days. Azithromycin treatment enhanced bacterial clearance and attenuated lung injury in mice chronically infected with P. aeruginosa, which resulted from the inhibition of caspase-1-dependent IL-1β and IL-18 secretion. In vitro, azithromycin and erythromycin inhibited NLRC4 and NLRP3 inflammasomes activation. Plasma IL-18 levels were higher in bronchiectasis patients with P. aeruginosa isolation compared with healthy controls. Azithromycin administration markedly decreased IL-18 secretion in bronchiectasis patients. The results of this study reveal that azithromycin and erythromycin exert a novel anti-inflammatory effect by attenuating inflammasomes activation, which suggests potential treatment options for inflammasome-related diseases. [ABSTRACT FROM AUTHOR]

In recent years, multiple types of substrates have been applied for regulating cell orientation. Among them, surface topography patterns with grooves or ridges have been widely utilizing for cell culturing. However, this construction is still complicated, low cost-effective and exhibits some technological limitations with either "top-down" or "bottom-up" approaches. Here, a simple and green method was developed by utilizing butterfly wings (Morpho menelaus, Papilio ulysses telegonus and Ornithoptera croesus lydius) with natural anisotropic nanostructures to generate cell alignment. A two-step chemical treatment was proposed to achieve more hydrophilic butterfly wings preceding cell culturing. Furthermore, calcein acetoxymethyl ester (Calcein-AM) staining and Methylthiazolyldiphenyl-tetrazolium bromide (MTT) assay results demonstrated the appropriate viability of NIH-3T3 fibroblast cells on those butterfly wings. Moreover, the cells displayed a high degree of alignment in each specimen of these wings. We anticipate that those originating from natural butterfly wings will pose important applications for tissue engineering. [ABSTRACT FROM AUTHOR]

Virtual machine (VM) live migration has been applied to system load balancing in cloud environments for the purpose of minimizing VM downtime and maximizing resource utilization. However, the migration process is both time- and cost-consuming as it requires the transfer of large size files or memory pages and consumes a huge amount of power and memory for the origin and destination physical machine (PM), especially for storage VM migration. This process also leads to VM downtime or slowdown. To deal with these shortcomings, we develop a Multi-objective Load Balancing (MO-LB) system that avoids VM migration and achieves system load balancing by transferring extra workload from a set of VMs allocated on an overloaded PM to other compatible VMs in the cluster with greater capacity. To reduce the time factor even more and optimize load balancing over a cloud cluster, MO-LB contains a CPU Usage Prediction (CUP) sub-system. The CUP not only predicts the performance of the VMs but also determines a set of appropriate VMs with the potential to execute the extra workload imposed on the VMs of an overloaded PM. We also design a Multi-Objective Task Scheduling optimization model using Particle Swarm Optimization to migrate the extra workload to the compatible VMs. The proposed method is evaluated using a VMware-vSphere-based private cloud in contrast to the VM migration technique applied by vMotion. The evaluation results show that the MO-LB system dramatically increases VM performance while reducing service response time, memory usage, job makespan, power consumption and the time taken for the load balancing process. [ABSTRACT FROM AUTHOR]

Traditional relational topic models provide a successful way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, document clustering, and link prediction, could benefit from this revealed knowledge. However, existing relational topic models are based on an assumption that the number of hidden topics is known a priori, which is impractical in many real-world applications. Therefore, in order to relax this assumption, we propose a nonparametric relational topic model using stochastic processes instead of fixed-dimensional probability distributions in this paper. Specifically, each document is assigned a Gamma process, which represents the topic interest of this document. Although this method provides an elegant solution, it brings additional challenges when mathematically modeling the inherent network structure of typical document network, i.e., two spatially closer documents tend to have more similar topics. Furthermore, we require that the topics are shared by all the documents. In order to resolve these challenges, we use a subsampling strategy to assign each document a different Gamma process from the global Gamma process, and the subsampling probabilities of documents are assigned with a Markov Random Field constraint that inherits the document network structure. Through the designed posterior inference algorithm, we can discover the hidden topics and its number simultaneously. Experimental results on both synthetic and real-world network datasets demonstrate the capabilities of learning the hidden topics and, more importantly, the number of topics. [ABSTRACT FROM PUBLISHER]

• A new combined aero-valve was designed and tested with a single tube PDC at firing frequencies from 10 Hz to 25 Hz to achieve effectively isolation of back pressure waves within a short axial distance. • The isolation of the back-propagated pressure waves was realized under all the firing frequencies for the baseline case. • The isolation mechanism of back pressure waves in the combined aero-valve was revealed by numerical simulations. In order to achieve the effectively isolation of back pressure waves in a valveless pulse detonation combustor (PDC) within a short axial distance, a combined aero-valve was designed and tested with a single tube PDC at firing frequencies from 10 Hz to 25 Hz. Nozzles of different size were designed to adjust the bleeding air of the combined aero-valve. The nozzles' effect on the isolation of the back pressure waves were discussed. Numerical simulations were carried out to reveal interactions between the back pressure waves and the combined aero-valve. The experimental results proved that the combined aero-value was effective in isolating the back pressure waves at firing frequencies from 10 Hz to 25 Hz for the baseline case. When a smaller nozzle was installed, the combined aero-valve would lose the ability to isolate the back pressure waves at low firing frequencies. Numerical simulations showed that the supersonic flow in the shock isolator channel was the key factor to realize completely isolation of the back pressure waves. For the cases with pressure oscillations appeared at the inlet of the isolation section, the back pressure waves would push the shock wave out of the channel and destroy the supersonic flow in the shock isolator channel, while the supersonic flow did not disappear for the cases when the back pressure waves were completely isolated, the shock wave in the shock isolator channel was just pushed forward a certain distance and would recover to the initial position as the filling process of the PDC started. [ABSTRACT FROM AUTHOR]

Background: Synovitis-acne-pustulosis-hyperostosis-osteitis (SAPHO) syndrome is a rare disease and there is no related literature concerning psychiatric symptoms in SAPHO patients. Thus, we believe that this will be the first paper to explore the episode and the neurobiological basis of depression symptoms in SAPHO patients using resting state functional magnetic resonance imaging (rs-fMRI). Twenty-eight SAPHO patients and fifteen age- and gender- matched normal controls (NC) were consecutively submitted to psychiatric evaluation and rs-fMRI scanning.Results: 46.2% (13/28) of SAPHO patients were diagnosed as depression. The local spontaneous activity study showed that depressed SAPHO (D-SAPHO) patients had decreased amplitude of low-frequency fluctuation (ALFF) in the bilateral ventrolateral prefrontal cortex (VLPFC, attributed to the anatomical structures of Brodmann's area 47, 45 and 44) and right dorsolateral prefrontal cortex (DLPFC, attributed to the anatomical structures of Brodmann's area 8, 9 and 46), increased ALFF in the bilateral middle temporal gyrus, when compared to non-depressed SAPHO (ND-SAPHO) patients. The functional connectivity (FC) study disclosed that D-SAPHO patients had an increased FC in the anterior portions of default mode network (DMN) (the bilateral inferior frontal cortex, anterior cingulate cortex and insula cortex), and a decreased FC in the posterior areas of DMN (left middle occipital cortex), when compared to ND-SAPHO patients. Furthermore, correlation analysis revealed that both ALFF and FC values were significantly correlated with depression scores of SAPHO patients.Conclusion: These results prompt us to understand the underlying pathophysiological mechanism of depression in SAPHO syndrome, and demonstrate that abnormal brain functional areas may serve as effective biological indicators to monitor depression in the future. [ABSTRACT FROM AUTHOR]

A dirhodium(II) carboxylate catalyst bearing axially chiral amino acid derivatives is prepared. X-ray crystal structure analysis reveals that four of the bridging ligands are aligned in a C2-symmetry-like conformation. This catalyst is effective in the asymmetric intramolecular C-H insertion of α-aryl-α-diazoacetates to α-aryl-β-substituted γ-lactones with a reasonable level of diastereo- and enantioselectivity, especially in the reaction of phenyl- and β-naphthyl-substituted substrates. [ABSTRACT FROM AUTHOR]

We demonstrate the use of a pump-probe setup based on two mid-infrared quantum cascade lasers (QCLs) to investigate the melting and crystallization of materials through resonant absorption. A combination of pump and probe beams fulfills the two-color synchronous detection. Furthermore, narrow linewidth advances the accuracy of measurements and the character of broad tuning range of QCLs enables wide applications in various sample and multiple structures. 1-Eicosene was selected as a simple model system to verify the feasibility of this method. A pulsed QCL was tuned to the absorption peak of CH2 bending vibration at 1467 cm-1 to resonantly heat the sample. The other QCL in continuous mode was tuned to 1643 cm-1 corresponding the C=C stretching vibration to follow the fast melting dynamics. By monitoring the transmission intensity variation of pump and probe beams during pump-probe experiments, the resonant absorption induced fast melting and re-crystallization of 1-Eicosene can be studied. Results show that the thermal effect and melting behaviors strongly depend on the pump wavelength (resonant or non-resonant) and energy, as well as the pump time. The realization and detection of melting and recrystallization can be performed in tens of milliseconds, which improves the time resolution of melting process study based on general mid-infrared spectrum by orders of magnitude. The availability of resonant heating and detections based on midinfrared QCLs is expected to enable new applications in melting study. [ABSTRACT FROM AUTHOR]

Hepatitis B virus reactivation was first described in the mid-1970s. Since then it has been shown to be a complication of anticancer chemotherapy. Reactivation during chemotherapy is not rare, and hundreds of articles are published annually on this topic. However, there has rarely been a study on diagnosing and prevention of HBV reactivation among breast cancer patients. Chemotherapy has been the mainstay of breast cancer treatment. It not only disrupts liver function, but also could assist in the replication of HBV DNA, which leads to HBV reactivation. The consequences of HBV reactivation range from self-limited conditions to fulminant hepatic failure and death. It also leads to premature termination of chemotherapy or delay in treatment schedules. With the rise of breast cancer incidence around the globe and the continuing trend in the availability of an array of chemotherapeutic regimens, the incidence of HBV reactivation among breast cancer patients is likely to increase further in future if current screening and antiviral treatment practices mentioned in the guidelines do not change. HBV reactivation is almost always preventable, and therefore identifying patients at risk by HBV screening followed by antiviral prophylaxis is essential. Unfortunately, these two crucial means are underestimated. Increased awareness of HBV reactivation among healthcare providers who prescribe chemotherapy, adoption of routine HBV screening, and linking the results of screening to antiviral prophylaxis are needed to reduce the incidence of this potentially fatal but preventable disorder. [ABSTRACT FROM AUTHOR]

Hepatoblastoma (HB) is associated with aberrant activation of the β-catenin and Hippo/YAP signaling pathways. Overexpression of mutantβ-catenin and YAP in mice induces HBs that express high levels of c-Myc (Myc). In light of recent observations that Myc is unnecessary for long-term hepatocyte proliferation, we have now examined its role inHBpathogenesis using the above model. Although Myc was found to be dispensable for in vivo HB initiation, it was necessary to sustain rapid tumor growth. Gene expression profiling identified key molecular differences between myc+/+ (WT) and myc-/- (KO) hepatocytes and HBs that explain these behaviors. In HBs, these included both Myc-dependent and Myc-independent increases in families of transcripts encoding ribosomal proteins, non-structural factors affecting ribosome assembly and function, and enzymes catalyzing glycolysis and lipid bio-synthesis. In contrast, transcripts encoding enzymes involved in fatty acid β-oxidation were mostly down-regulated. Myc-independent metabolic changes associated with HBs included dramatic reductions in mitochondrial mass and oxidative function, increases in ATP content and pyruvate dehydrogenase activity, and marked inhibition of fatty acid β-oxidation (FAO). Myc-dependent metabolic changes included higher levels of neutral lipid and acetyl- CoA in WT tumors. The latter correlated with higher histone H3 acetylation. Collectively, our results indicate that the role of Myc in HB pathogenesis is to impose mutually dependent changes in gene expression and metabolic reprogramming that are unattainable in non-transformed cells and that cooperate to maximize tumor growth. [ABSTRACT FROM AUTHOR]

Dual first-order methods are powerful techniques for large-scale convex optimization. Although an extensive research effort has been devoted to studying their convergence properties, explicit convergence rates for the primal iterates have essentially only been established under global Lipschitz continuity of the dual gradient. This is a rather restrictive assumption that does not hold for several important classes of problems. In this paper, we demonstrate that primal convergence rate guarantees can also be obtained when the dual gradient is only locally Lipschitz. The class of problems that we analyze admits general convex constraints including nonlinear inequality, linear equality, and set constraints. As an approximate primal solution, we take the minimizer of the Lagrangian computed when evaluating the dual gradient. We first derive error bounds for this approximate primal solution in terms of the errors of the dual variables. Then we establish convergence rates of the dual variables when dual problems with locally Lipschitz gradient are solved using a projected gradient method and when dual problems with Lipschitz gradient over the dual feasible set are solved using fast gradient methods. By combining these results, we show that the suboptimality and infeasibility of the approximate primal solution at iteration k are no worse than O(1/√k) when the projected dual gradient method is used and O(1/k) when a fast dual gradient method is used. [ABSTRACT FROM AUTHOR]

Drug-induced liver injury (DILI) is often undiagnosed or misdiagnosed clinically because of diagnostic difficulties caused by lack of laboratory-specific serological markers. In this study, we comprehensively assessed the clinical characteristics, laboratory indices, hepatotoxic drugs, risk factors and outcomes concerning DILI, and explored the similarities in mechanisms between Chinese and Western drug-induced DILI. Patients with a first diagnosis of DILI and a Roussel Uclaf Causality Assessment Method (RUCAM) score >3 points were enrolled for systematic retrospective study. Their clinical characteristics, clinical classification, risk factors, laboratory indices, hepatotoxic drugs and outcomes were analyzed. Cholestatic patients had the highest alkaline phosphatase (ALP) and prothrombin time activity (PTA) levels (P<0.05). Patients with medication time ≤30 days had significantly higher positive rate of autoantibodies than those with medication time <30 days. Odds ratio values for DILI-related factors such as hepatobiliary diseases, immune dysfunction, diabetes, hypertension, chronic alcohol consumption and age ≤45 years were 6.552, 6.130, 3.774, 2.801, 2.002 and 1.838, respectively. Pathogeneses of Chinese and Western drug-induced DILI may be substantially the same. DILI accompanied with autoantibody positivity may indicate severe liver injury outcome. Hepatobiliary diseases, diabetes and hypertension are likely to increase drug susceptibility, and more prone to cause liver injury. [ABSTRACT FROM AUTHOR]

Primary liver cancer, which includes hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and fibrolamellar HCC, is one of the most common malignancies and the third leading cause of cancer-associated mortality, worldwide. Despite the development of novel therapies, the prognosis of liver cancer patients remains extremely poor. Thus, investigation of the genetic background and molecular mechanisms underlying the development and progression of this disease has gained significant attention. The Notch signaling pathway is a crucial determinant of cell fate during development and disease in several organs. In the liver, Notch signaling is involved in biliary tree development and tubulogenesis, and is also significant in the development of HCC and ICC. These findings suggest that the modulation of Notch pathway activity may have therapeutic relevance. The present review summarizes Notch signaling during HCC and ICC development and discusses the findings of recent studies regarding Notch expression, which reveal novel insights into its function in liver cancer progression. [ABSTRACT FROM AUTHOR]

Objective: The aim of our study was to investigate the changes in HBV serum markers and liver functions due to HBV reactivation among breast cancer patients undergoing chemotherapy. Methods: The study included 413 breast cancer patients with chemotherapy from January 2012 to February 2014. Important clinical information such as liver function tests and HBV serological markers were collected at the time of diagnosis and after undergoing chemotherapy. McNemar's test and Wilcoxon signed-rank test were used to analyze the results of HBV seroconversion and liver function markers before and after chemotherapy. Results: Among 413 pre-chemotherapeutic breast cancer patients, 282 (68.3%) patients were HBcAb positive, 228 (55.2%) patients were HBsAb positive, and 32 (7.7%) patients were HBsAg positive. With grouping analysis on the basis of HBV seromarkers, the findings were as follows: Among 381 HBsAg-negative breast cancer patients, post-chemotherapeutic serum HBsAg titer (0.0167 IU/ml) was significantly higher (with liver dysfunction) than pre-chemotherapeutic titer (0.0152 IU/ml) (p < 0.05); Among 289 HBcAb-positive breast cancer patients, post-chemotherapeutic serum HBsAg titer (304.56 IU/ml) was significantly higher (with liver dysfunction) than pre-chemotherapeutic titer (201.99 IU/ml) (p < 0.05); Among 124 HBcAb-negative breast cancer patients, no significant change in HBsAg titer was noticed after chemotherapy (p < 0.05). Conclusions: Our findings suggest that HBsAg negative finding does not rule out HBV reactivation after chemotherapy; Subsequently, HBcAb-negative finding before chemotherapy might rule out the possibility of HBV reactivation among breast cancer patients. [ABSTRACT FROM AUTHOR]

The emerging upconversion nanoparticles offer a fascinating library of ultrasensitive luminescent probes for a range of biotechnology applications from biomarker discovery to single molecule tracking, early disease diagnosis, deep tissue imaging, and drug delivery and therapies. The effective bioconjugation of inorganic nanoparticles to the molecule-specific proteins, free of agglomeration, nonspecific binding, or biomolecule deactivation, is crucial for molecular recognition of target molecules or cells. The current available protocols require multiple steps which can lead to low probe stability, specificity, and reproducibility. Here we report a simple and rapid protein bioconjugation method based on a one-step ligand exchange using the DNAs as the linker. Our method benefits from the robust DNA-protein conjugates as well as from multiple ions binding capability. Protein can be preconjugated via an amino group at the 3' end of a synthetic DNA molecule, so that the 5' end phosphoric acid group and multiple phosphate oxygen atoms in the phosphodiester bonds are exposed to replace the oleic acid ligands on the surface of upconversion nanoparticles due to their stronger chelating capability to lanthanides. We demonstrated that our method can efficiently pull out the upconversion nanoparticles from organic solvent into an aqueous phase. The upconversion nanoparticles then become hydrophilic, stable, and specific biomolecules recognition. This allows us to successfully functionalize the upconversion nanoparticles with horseradish peroxidise (HRP) for catalytic colorimetric assay and for streptavidin (SA)-biotin immunoassays. [ABSTRACT FROM AUTHOR]

In Nature, incompatible catalytic transformations are being carried out simultaneously through compartmentalization that allows for the combination of incompatible catalysts in tandem reactions. Herein, we take the compartmentalization concept to the synthetic realm and present an approach that allows two incompatible transition metal catalyzed transformations to proceed in one pot in tandem. The key is the site isolation of both catalysts through compartmentalization using a core-shell micellar support in an aqueous environment. The support is based on amphiphilic triblock copolymers of poly(2-oxazoline)s with orthogonal functional groups on the side chain that can be used to cross-link covalently the micelle and to conjugate two metal catalysts in different domains of the micelle. The micelle core and shell provide different microenvironments for the transformations: Co-catalyzed hydration of an alkyne proceeds in the hydrophobic core, while the Rh-catalyzed asymmetric transfer hydrogenation of the intermediate ketone into a chiral alcohol occurs in the hydrophilic shell. [ABSTRACT FROM AUTHOR]

Background: Key effector(s) of mutated KRAS in lung cancer progression and metastasis are unknown. Here we investigated the role of PAK1/Crk axis in transduction of the oncogenic KRAS signal in non-small cell lung cancer (NSCLC). Methods: We used NSCLC clinical specimens to examine the correlation among KRAS mutations (codon 12, 13 and 61); PAK1/Crk axis activation [p-PAK1(Thr423), p-Crk(Ser41)]; and adhesion molecules expression by immunohistochemistry. For assessing the role of proto-oncogene c-Crk as a KRAS effector, we inhibited KRAS in NSCLC cells by a combination of farnesyltransferase inhibitor (FTI) and geranylgeranyltransferase inhibitor (GGTI) and measured p-Crk-II(Ser41) by western blotting. Finally, we disrupted the signaling network downstream of KRAS by blocking KRAS/PAK1/Crk axis with PAK1 inhibitors (i.e., IPA-3, FRAX597 or FRAX1036) along with partial inhibition of all other KRAS effectors by prenylation inhibitors (FTI + GGTI) and examined the motility, morphology and proliferation of the NSCLC cells. Results: Immunohistochemical analysis demonstrated an inverse correlation between PAK1/Crk phosphorylation and E-cadherin/p120-catenin expression. Furthermore, KRAS mutant tumors expressed higher p-PAK1(Thr423) compared to KRAS wild type. KRAS prenylation inhibition by (FTI + GGTI) completely dephosphorylated proto-oncogene c-Crk on Serine 41 while Crk phosphorylation did not change by individual prenylation inhibitors or diluent. Combination of PAK1 inhibition and partial inhibition of all other KRAS effectors by (FTI + GGTI) dramatically altered morphology, motility and proliferation of H157 and A549 cells. Conclusions: Our data provide evidence that proto-oncogene c-Crk is operative downstream of KRAS in NSCLC. Previously we demonstrated that Crk receives oncogenic signals from PAK1. These data in conjunction with the work of others that have specified the role of PAK1 in transduction of KRAS signal bring forward the importance of KRAS/PAK1/Crk axis as a prominent pathway in the oncogenesis of KRAS mutant lung cancer. [ABSTRACT FROM AUTHOR]

The effect of polymer architecture on molecular exchange in block copolymer micelles has been investigated using time-resolved smallangle neutron scattering (TR-SANS). Narrowly dispersed symmetric PEP-PS-PEP and PS-PEP-PS triblock copolymers were synthesized, where PS and PEP refer to poly(styrene) and poly(ethylene-alt-propylene), respectively. Spherical micelles of the triblocks in squalane, a selective solvent for the PEP blocks, were prepared using a cosolvent method. PEP-PS-PEP forms "hairy" micelles with the PS blocks looped in the cores, while PS-PEP-PS forms "flower-like" micelles with most of the PEP blocks looped in the corona. The micelle structure was characterized by small-angle X-ray scattering, providing in particular the core radius as a function of temperature. TR-SANS experiments were conducted on solutions containing 1 and 6 vol % PEP-PS-PEP, and 0.25 and 0.5 vol % PS- PEP-PEP, using matched pairs of deuterium-labeled (dPS) and normal (hPS) specimens and a mixture of normal and perdeuterated squalane contrast-matched to uniformly mixed hPS/dPS micelle cores. Blends of micelles with initially pure hPS and dPS cores produce scattering intensity that decays with the redistribution of block copolymer chains as a function of time, providing direct access to the rate of molecular exchange. Remarkably, the two triblock architectures display exchange rates that differ by approximately 9 orders of magnitude, even though the solvophobic PS blocks are of comparable size. This discovery is considered in the context of a model that successfully explained the exchange dynamics in PS-PEP diblock copolymer micelles. [ABSTRACT FROM AUTHOR]

The current study presents a case of extranodal follicular dendritic cell sarcoma (FDCS) of the tonsil and reviews the relevant literature. In the present case, a 59-year-old male presented with a globus sensation in the right pharynx for 6 weeks. On clinical examination, a painless non-ulcerated enlarged right tonsil was identified; the tonsil was covered with a normal mucus membrane. A right tonsillectomy was performed under general anesthesia. The final pathological diagnosis was follicular dendritic cell sarcoma of the right tonsil. Postoperatively, the patient received radiotherapy. The patient remains alive without disease recurrence or metastasis 44 months after tonsillectomy. To the best of our knowledge, only 42 cases of FDCS of the tonsil have been reported to date. Of the 42 cases, 41 patients underwent surgery and one patient refused treatment. A total of 23 (54.7%) received surgery alone. Adjuvant treatment was administered for 18 patients (42.9%). Six patients (14.3%) experienced local recurrences and two patients (4.8%) succumbed to the disease 24 months after treatment. The three-, five-, and eight-year overall survival rates for the entire group were 86.5, 77.8 and 77.8%, respectively. Furthermore, a tumor diameter of ≥4 cm was prognostic upon univariate analysis (Χ² =4.634; P=0.031; excluding incomplete data). Tonsillar FDCS is rare and is associated with high rates of recurrence and metastasis, therefore, adjuvant treatment should be prescribed. [ABSTRACT FROM AUTHOR]

The accumulation of unfolded or misfolded proteins in the endoplasmic reticulum (ER) triggers a well conserved pathway called the unfolded protein response (UPR) in eukaryotic cells to mitigate ER stress. Two signaling pathways, S2P-bZIP28 and IRE1-bZIP60, play important roles in transmitting ER stress signals from the ER to the nucleus in Arabidopsis (Arabidopsis thaliana). It is not known whether other components in the secretory pathway also contribute to the alleviation of ER stress. Here we report the identification of a plasma membrane-associated transcription factor, NAC062 (also known as ANAC062/NTL6), as another important UPR mediator in Arabidopsis plants. NAC062 relocates from the plasma membrane to the nucleus and regulates the expression of ER stress responsive genes in Arabidopsis. Knock-down of NAC062 in the wild-type background confers ER stress sensitivity, while inducible expression of a nucleus-localized form of NAC062, NAC062D, in the bZIP28 and bZIP60 double mutant (zip28zip60) background increases ER stress tolerance. Knock-down of NAC062 impairs ER-stress-induced expression of UPR downstream genes while over-expression of NAC062D-MYC induces the expression of UPR downstream genes under normal growth condition. CHIP-qPCR reveals that NAC062D-MYC is enriched at the promoter regions of several UPR downstream genes such as BiP2. Furthermore, NAC062 itself is also up-regulated by ER stress, which is dependent on bZIP60 but not on bZIP28. Thus, our results have uncovered an alternative UPR pathway in plants in which the membrane-associated transcription factor NAC062 relays ER stress signaling from the plasma membrane to the nucleus and plays important roles in regulating UPR downstream gene expression. [ABSTRACT FROM AUTHOR]

The accumulation of unfolded or misfolded proteins in the endoplasmic reticulum (ER) triggers a well conserved pathway called the unfolded protein response (UPR) in eukaryotic cells to mitigate ER stress. Two signaling pathways, S2P-bZIP28 and IRE1-bZIP60, play important roles in transmitting ER stress signals from the ER to the nucleus in Arabidopsis (Arabidopsis thaliana). It is not known whether other components in the secretory pathway also contribute to the alleviation of ER stress. Here we report the identification of a plasma membrane-associated transcription factor, NAC062 (also known as ANAC062/NTL6), as another important UPR mediator in Arabidopsis plants. NAC062 relocates from the plasma membrane to the nucleus and regulates the expression of ER stress responsive genes in Arabidopsis. Knock-down of NAC062 in the wild-type background confers ER stress sensitivity, while inducible expression of a nucleus-localized form of NAC062, NAC062D, in the bZIP28 and bZIP60 double mutant (zip28zip60) background increases ER stress tolerance. Knock-down of NAC062 impairs ER-stress-induced expression of UPR downstream genes while over-expression of NAC062D-MYC induces the expression of UPR downstream genes under normal growth condition. CHIP-qPCR reveals that NAC062D-MYC is enriched at the promoter regions of several UPR downstream genes such as BiP2. Furthermore, NAC062 itself is also up-regulated by ER stress, which is dependent on bZIP60 but not on bZIP28. Thus, our results have uncovered an alternative UPR pathway in plants in which the membrane-associated transcription factor NAC062 relays ER stress signaling from the plasma membrane to the nucleus and plays important roles in regulating UPR downstream gene expression. [ABSTRACT FROM AUTHOR]

A facile and effective method has been reported to synthesize graphene-encapsulated α-MoO3 nanoribbons by a self-assembly process between negatively charged graphene oxide and positively charged MoO3 nanoribbons. Compared to the structures of MoO3 nanobelts grown on graphene or other hybrids of MoO3 composited with carbon or non-carbon, this unique hybrid architecture of the grapheneencapsulated MoO3 nanoribbons exhibits not only a high specific capacity (up to 823 mAh g-1 after 70 cycles at 200 mA g-1), but also an excellent cycling performance (with more than 754 mAh g-1 after 200 cycles at 1000 mA g-1 ) as well as a greatly-enhanced high-rate capability (displaying a high discharge capacity of 710 mAh g-1 after 30 cycles at 3000 mA g-1), thus showing great potential as an anode material for lithium ion batteries. [ABSTRACT FROM AUTHOR]

Solid–liquid equilibrium (SLE) and solution density data for the (Na2SO4+ H2NCH2CH2SO3H + H2O) system from (288.15 to 328.15) K were measured by use of the method of isothermal dissolution. From the experimental data, a set of polynomial equations were derived to calculate the solubility of taurine as a function of sodium sulfate mass fraction in the equilibrium solution, and two phase diagrams at (293.15 and 318.15) K were constructed. In general, the density of the equilibrium solution regularly increases with the sodium sulfate concentration. Furthermore, at low temperatures the equilibrium solid phase is Na2SO4·10H2O, whereas at high temperatures the equilibrium solid phase is Na2SO4. All of these data will provide a better understanding of the separation of taurine from Na2SO4 aqueous solutions through crystallization. [ABSTRACT FROM AUTHOR]

We collected original experimental data, using the matched-guise technique, to examine the Taiwanese people's evaluational reactions to two major spoken languages in contemporary Taiwan: Mandarin and Taiwanese. Taking advantage of the effectiveness of the experimental technique in controlling for possible unobserved confounding variables, we clearly and systematically demonstrate that (1) language stereotypes do exist in today's Taiwan, and (2) there are some serious and significant implications for Taiwan's public opinion and democratic politics. Our data show that such language stereotypes are of great salience and consistently decoded for political issues, less so for socioeconomic issues, and almost insignificant for personality features. Our data also confirm that these language stereotypes are not just proxies of Taiwan's regional divisions; the Taiwanese people cognitively differentiate between the spoken languages' political and socioeconomic implications (despite some mild halo effect between the two). [ABSTRACT FROM AUTHOR]

Kaposi's sarcoma-associated herpesvirus (KSHV) is a human gammaherpesvirus casually linked to Kaposi's sarcoma (KS), multicentric Castleman's disease (MCD), and primary effusion lymphoma (PEL). Previously, we showed that LANA encoded by KSHV upregulates expression of survivin, a member of the inhibitor of apoptosis (IAP) family. This leads to an increase in the rate of cell proliferation of KSHV-infected B cells. LANA is required for tethering of the KSHV episome to the host chromosomes and efficiently segregates the viral genomes into dividing tumor cells. Here we show that LANA interacts with Aurora kinase B (AK-B) and induces phosphorylation of survivin at residue T34. Phosphorylation of survivin specifically on residue T34 enhances the activity of p300 and inhibits the activity of histone deacetylase 1 (HDAC-1), which then leads to an increase in acetylation of histone H3 on the viral genome. Phosphorylation of survivin specifically on residue T34 upregulates the activities of histone acetyltransferases and deacetylases, which then leads to an increase in viral copy number in KSHV-infected B cells. This results in a boost of KSHV replication in latently infected B-lymphoma cells. The studies showed that LANA can also function to regulate viral replication prior to mitosis of the latently infected cells, suggesting that LANA possesses a novel role in regulating KSHV replication in infected B cells. [ABSTRACT FROM AUTHOR]

Hepatitis C virus (HCV) infection is a leading cause of chronic liver diseases. Progress in the HCV field was greatly enhanced by constructing infectious cDNA clone of JFH-1. Since then, JFH-1-based intra- and intergenotypic recombinants have been developed, and this permitted the study of vaccines and antiviral inhibitors for all genotypes. Recently, highly efficient HCV culture systems have been established by using consensus sequence-based clones. We developed a novel strategy to construct infectious HCV cDNA clone by combining functional screening of sequences directly from a genotype 2a clinical isolate (PR63) and cell culture adaptation. Using JFH-1 cDNA as the starting backbone, we sequentially replaced the JFH-1 fragments with a sequence from the pools of PR63 sequences. Through engineering adaptive mutations that improve HCV infectivity, we finally established a full-length cell culture-derived infectious clone of PR63, named PR63cc, that could efficiently produce virus particles in Huh7- derived cells, with peak titers of 1.6 X 105 focus-forming units/ml. The PR63cc could be neutralized by an anti-E2 antibody and inhibited by antiviral agents but appeared more resistant to an NS5A inhibitor than JFH-1. In summary, we developed a new approach to construct an infectious HCV cDNA clone that can produce viruses efficiently in cell culture. This approach could be applied to other viral isolates, with potential implications for individualized treatments of HCV patients. [ABSTRACT FROM AUTHOR]

Mild cognitive impairment (MCI) refers to a transitional state between normal aging and dementia and is a syndrome with cognitive decline greater than expected for an individual's age and educational level. As a subtype of MCI, amnestic mild cognitive impairment (aMCI) most often leads to Alzheimer's disease. This study aims to elucidate the altered brain activation in patients with aMCI using resting-state functional magnetic resonance. We observed Frequency-dependent changes in the amplitude of low-frequency fluctuations in aMCI patients (n = 20), and normal subjects (n = 18).At the same time, we took gray matter volume as a covariate. We found that aMCI patients had decreased amplitude of low-frequency fluctuation signal in left superior temporal gyrus, right middle temporal gyrus, right inferior parietal lobe, and right post central gyrus compared to the control group. Specially, aMCI patients showed increased signal in left superior and middle frontal gyrus. Our results suggested that increased activation in frontal lobe of aMCI patients may indicate effective recruitment of compensatory brain resources. This finding and interpretation may lead to the better understanding of cognitive changes of aMCI. [ABSTRACT FROM AUTHOR]

Crude oil is the most important nonrenewable energy resource and the most key element for the world. In contrast to typical forecasts of oil price, this study aims at forecasting the demand of imported crude oil (ICO). This study proposes different single stage and two-stage hybrid stages of forecasting models for prediction of ICO in Taiwan. The single stage forecasting modeling includesmultiple linear regression (MLR), support vector regression (SVR), artificial neural networks (ANN), and extreme learning machine (ELM) approaches. While the first step of the two-stage modeling is to select the fewer but more significant explanatory variables, the second step is to generate predictions by using these significant explanatory variables. The proposed two-stage hybrid models consist of integration of different modeling components. Mean absolute percentage error, root mean square error, and mean absolute difference are utilized as the performance measures. Real data set of crude oil in Taiwan for the period of 1993-2010 and twenty-three associated explanatory variables are sampled and investigated. The forecasting results reveal that the proposed two-stage hybrid modeling is able to accurately predict the demand of crude oil in Taiwan. [ABSTRACT FROM AUTHOR]

Background Liquid hot water (LHW) pretreatment is an effective and environmentally friendly method to produce bioethanol with lignocellulosic materials. In our previous study, high ethanol concentration and ethanol yield were obtained from water-insoluble solids (WIS) of reed straw and corn stover pretreated with LHW by using fed-batch semi-simultaneous saccharification and fermentation (S-SSF). However, high cellulase loading and the large amount of wash water possibly limit the practical application of LHW pretreatment. To decrease cellulase loading and the amount of wash water, we performed Tween 40 pretreatment before WIS was subjected to bioethanol fermentation. Results Results showed that the optimum conditions of Tween 40 pretreatment were as follows: Tween 40 concentration of 1.5%, WIS-to-Tween 40 ratio of 1:10 (w/v), and pretreatment time of 1 hour at ambient temperature. After Tween 40 pretreatment, cellulase loading could be greatly reduced. After Tween 40 pretreatment, the residual liquid could be recycled for utilization but slightly affected ethanol concentration and yield. The unwashed WIS could obtain a high ethanol concentration of 56.28 g/L (reed straw) and 52.26 g/L (corn stover) by Tween 40 pretreatment using fed-batch S-SSF. Ethanol yield reached a maximum of 69.1% (reed straw) and 71.1% (corn stover). Conclusions Tween 40 pretreatment was a very effective and less costly method with unwashed WIS. This pretreatment could greatly reduce cellulase loading and save wash water. Higher ethanol concentration was obtained almost without reducing ethanol yield. [ABSTRACT FROM AUTHOR]