Miracle-dz/UniFAR-FTUs huggingface dataset:
Library-Based Sparse Interpolation and Super-Resolution of S/TEM Images of Biological and Material Nano-Structures

Scanning transmission electron microscopes are extensively used for characterization of biological and material samples at the nano-meter scale. However, raster scanning an electron beam across a large field of view is time consuming and can damage the sample. Additionally, in order to form large field of view raster scanned images in a reasonable amount of time, during which the instrument remains at optimal stability, spatial resolution is typically compromised and a standard raster scan size is used (e.g. 2048x2048 or 4094x4096). This leaves significant opportunities for super-resolution and sparse interpolation image reconstruction. For these reasons, there has been a growing need to accurately reconstruct images from sparsely sampled or low-resolution S/TEM images. In many cases, images of biological and material samples contain many structures that are similar or identical to each other. Inspired by the success of modern patch-based denoising filters like non-local means (NLM) in exploiting non-local image redundancies, there have been several efforts to solve the sparse interpolation and superresolution problems using patch-based models, dictionary learning and example-based methods [1, 2]. In any case, there is no general framework to use any generic denoising algorithm (with or without a patch library) as a prior model to perform sparse interpolation and super-resolution.
MicroRNA-18 b promotes cell proliferation and inhibits apoptosis of gastric cancer via targeting KIAA 1324

Gastric cancer (GC) is the fourth most predominant malignancy worldwide and remains the second most common cause of cancer-related death globally. Recent studies have shown that miRNAs are involved in the tumorigenesis of GC. MicroRNA-18b (miR-18b) has been reported to be upregulated in primary gastric cancer tissues compared with adjacent non-tumorous tissues. However, the specific prognostic value and biological roles of miR-18b in gastric cancer still remains unknown. In this study, we firstly verified that miR-18b expression was really up-regulated in cancerous tissues and overexpressed miR-18b in tumorand adjacent-tissue samples from patients with gastric cancer (GC). In addition, our results showed that low expression of miR-18b inhibited the growth and promoted the apoptosis in GC cells. From our further study, down-regulation of miR-18b also reduced tumor growth in xenograft models of gastric cancer. Moerover, we showed, by luciferase assay, a direct interaction between miR18b and the KIAA1324 3’UTR, as overexpression of miR-18b was associated with suppression of luciferase activity. Furthermore, we demonstrated that low-expression of miR-18b caused a significant upregulation of both KIAA1324 mRNA and protein. Taken together, we concluded that miR-18b promotes cell proliferation and inhibits apoptosis of gastric cancer via targeting KIAA1324 and miR-18b may serve as a useful therapeutic agent for miRNA-based GC therapy.
Hot Deformation Behavior and Processing Map of 40MnBH Alloy Steel

The hot deformation behavior of the 40MnBH alloy is investigated by isothermal compression tests at the temperature of 900–1200 °C with the strain rate of 0.05, 0.5, and 5s−1, and the degree of compression ranging from 15 to 60%. The effects of deformation parameters are studied through the true stress–strain curve under different deformation conditions. The processing maps are constructed based on the dynamic material model. Microstructures of 40MnBH steel at different deformation conditions are observed. The results show that the stress of the alloy has a dependence on strain rate and deformation temperature. A constitutive model is built, which described the flow stress behavior of the alloy. The processing maps reveal that with the increase in the degree of compression, the instability regions decrease. The results of processing maps have been verified through the microstructures of the 40MnBH steel.
Revolutionizing Teaching and Research with a Structured Debate Platform 1

However, because of the multifaceted nature of reason giving, the platforms that debate happen in create challenges. Standard digital formats, such as a discussion board, Twitter feed or comment thread, tend to only allow a linear progression of arguments in a stream-of-discussion format. These limitations make it hard for participants to engage with multiple, sometimes related, arguments. Each of which might have multiple layers of evidence and claims. And even structuring these discussions by separate threads often fails to group arguments that support or oppose one another along particular lines of reasoning. As a result, discussions are shallow, barely scratching the surface of the pro’s and con’s entailed in any difficult decision or controversial issue. Just think about the challenge of having complex debates over email about Department politics! Perhaps, it is not surprising that many people are dissatisfied with bridging
Antibacterial activity of poly-l-arginine under different conditions

Background and Objectives: Arginine-rich peptides are an important class of antimicrobial peptides (AMPs) that exert their antibacterial activity via a lytic mechanism. Although the antibacterial activity of arginine-rich peptides has been already evaluated, no reports have so far been evaluated the influence of reaction conditions on their antimicrobial potential. The aim of the present study was to investigate the influence of pH, temperature, and glycine on antibacterial activity of poly-l-arginine (PLA) with a molecular weight of 5–15 kDa against Escherichia coli O157:H7 and Staphylococcus aureus. Materials and Methods: The percentage of growth inhibition of PLA against both bacteria was analyzed at various pH, temperatures and sub-inhibitory concentrations of glycine by two-fold broth microdilution method. Results: The results showed that PLA had antibacterial activity against E. coli O157:H7 and S. aureus and the inhibitory effect increased with increasing PLA concentration. The antimicrobial activity of PLA against both microorganisms was higher in basic media than under acidic or neutral conditions. At 1/2 times the MIC, heat treatment intensified the toxicity of PLA against E. coli O157:H7 whereas the susceptibility to PLA seems to be temperature independent for S. aureus. The MICs of glycine against E. coli O157:H7 and S. aureus were 12.5 and 25 mg ml−1, respectively. The antibacterial activity of PLA against both microorganisms increased, as indicated by the increasing growth inhibition percentage of this peptide with increasing glycine concentration. Conclusion: The antibacterial activity of PLA against S. aureus and E. coli O157:H7 depends on pH and glycine concentration.
Experimental Investigations on Impact Behavior of CFRP Cables under Pretension

AbstractCarbon fiber–reinforced polymer/plastic (CFRP) used in bridge cables may be subjected to lateral impacts caused by vehicle collisions when in service. However, to date, few studies have been conducted on the impact behavior of CFRP cables and their anchor systems. In this paper, the impact behavior of CFRP cables was investigated through drop-weight tests of eight CFRP cable specimens. A seven-wire CFRP strand was used as the tendon, and reactive powder concrete (RPC) was used as the filling grout for anchors at both ends of each specimen. The results show that a bond length of no less than 36 times the diameter of the wire of the CFRP strand in 128 MPa RPC grout can provide a CFRP strand with reliable anchorage under impact. The average transverse impact resistance of the specimens was approximately 16 kN and was not significantly influenced by pretension. The specimens fractured at a cable tension of 30% of the static tensile breaking load under transverse impact. In addition, the energy dissipa.
Facing The Machine Translation Babel in CLIR – Can MT Metrics Help in Choosing CLIR Resources ?

This paper describes usage of MT metrics in choosing the best candidates for MT-based query translation resources in Cross-Language Information Retrieval. Our metrics is METEOR. Language pair of our evaluation is English → German, because METEOR metrics does not offer very many language pairs for comparison. English → German has also available many MT programs that can be used in evaluation. We evaluated translations of CLEF 2003 topics of twelve different MT programs with MT metrics and compare the metrics evaluation results to mean average precision results of CLIR runs. Our results show, that for long topics the correlations between achieved MAPs and MT metrics are high (0.88), and for short topics lower but still clear (0.59). Overall it seems that METEOR can easily distinguish the worst MT programs from the best ones, but smaller differences are not so clearly seen. Some of the intrinsic properties of METEOR metrics do not also suit for CLIR resource evaluation purposes, because some properties of the translation metrics, especially evaluation of word order, are not significant for CLIR resource evaluation.
Productivity and Grazing Behavior of Ewes with Single or Twin Lambs Raised in Mixed Italian Ryegrass/White Clover Pasture in Southern Brazil

The aim of this study was to compare the area production and grazing behavior of single- and twin-rearing ewes kept on a mixed Italian ryegrass/white clover pasture. The herbage allowance was maintained at 12 kg DM/100kg live weight during the experiment, by continuous variable stocking management for 112 days (4 periods of 28 days). We measure the live weight gains, the area production and the body condition score of ewes and lambs. Animal behavior was observed on four occasions during which we evaluated whether the lambs were grazing near to or far from their mother. Live-weight output from the ewes and lambs, and net output (ewes and lambs) were calculated. Results showed that being irrespective of birth type, ewes had similar mean daily weight gains, although ewes with twin lambs presented a mean lower body condition score. Ewes live weight output/ha did not differ significantly among birth types, but twin lambs produced 98.2 kg (45%) more live weight gain/ha. Total net live-weight output (ewes + lambs) was 121.5 kg greater for twins than for singles. Ewes with twin lambs spent more time grazing and ruminating. Lambs increased the time they spent grazing in each successive period. Single lambs spent significantly longer time grazing within 12 m of their dams (near grazing). Analysis of far grazing times by the broken line method showed that growing lambs rapidly increase the time spent far grazing up to a live weight of 20.3 kg in both birth types, which occurs at 95.3 and 115.9 days of age for single and twins, respectively. The results indicate that twin lambs are more productive than singles, when evaluated per area unit of pasture.
Contexte et atouts du poste Depth-map reconstruction from structured light without matching

A propos du centre ou de la direction fonctionnelle Le centre Inria Sophia Antipolis Méditerranée compte 37 équipes de recherche, ainsi que 9 services d’appui à la recherche. Le personnel du centre (600 personnes environ dont 400 salariés Inria) est composé de scientifiques de différentes nationalités (250 personnes étrangères sur 50 nationalités), d’Ingénieurs, de Techniciens et d’Administratifs. 1/3 du personnel est fonctionnaire, les autres sont contractuels. La majorité des équipes de recherche du centre sont localisées à Sophia Antipolis et Nice dans les Alpes-Maritimes. Six équipes sont implantées à Montpellier et une équipe est hébergée par le département d'informatique de l'université de Bologne en Italie. Le Centre est membre de la Communauté d’Université et d’Établissement (ComUE) « Université Côte d’Azur (UCA) ».
The impact of sea-level rise on organic matter decay rates in Chesapeake Bay brackish tidal marshes

The balance between organic matter production and decay determines how fast coastal wetlands accumulate soil organic matter. Despite the importance of soil organic matter accumulation rates in influencing marsh elevation and resistance to sea-level rise, relatively little is known about how decomposition rates will respond to sea-level rise. Here, we estimate the sensitivity of decomposition to flooding by measuring rates of decay in 87 bags filled with milled sedge peat, including soil organic matter, roots and rhizomes. Experiments were located in field-based mesocosms along 3 mesohaline tributaries of the Chesapeake Bay. Mesocosm elevations were manipulated to influence the duration of tidal inundation. Although we found no significant influence of inundation on decay rate when bags from all study sites were analyzed together, decay rates at two of the sites increased with greater flooding. These findings suggest that flooding may enhance organic matter decay rates even in water-logged soils, but that the overall influence of flooding is minor. Our experiments suggest that sea-level rise will not accelerate rates of peat accumulation by slowing the rate of soil organic matter decay. Consequently, marshes will require enhanced organic matter productivity or mineral sediment deposition to survive accelerating sea-level rise.
An Increase in the Omega-6/Omega-3 Fatty Acid Ratio Increases the Risk for Obesity

In the past three decades, total fat and saturated fat intake as a percentage of total calories has continuously decreased in Western diets, while the intake of omega-6 fatty acid increased and the omega-3 fatty acid decreased, resulting in a large increase in the omega-6/omega-3 ratio from 1:1 during evolution to 20:1 today or even higher. This change in the composition of fatty acids parallels a significant increase in the prevalence of overweight and obesity. Experimental studies have suggested that omega-6 and omega-3 fatty acids elicit divergent effects on body fat gain through mechanisms of adipogenesis, browning of adipose tissue, lipid homeostasis, brain-gut-adipose tissue axis, and most importantly systemic inflammation. Prospective studies clearly show an increase in the risk of obesity as the level of omega-6 fatty acids and the omega-6/omega-3 ratio increase in red blood cell (RBC) membrane phospholipids, whereas high omega-3 RBC membrane phospholipids decrease the risk of obesity. Recent studies in humans show that in addition to absolute amounts of omega-6 and omega-3 fatty acid intake, the omega-6/omega-3 ratio plays an important role in increasing the development of obesity via both AA eicosanoid metabolites and hyperactivity of the cannabinoid system, which can be reversed with increased intake of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). A balanced omega-6/omega-3 ratio is important for health and in the prevention and management of obesity.
Why Are There Rossby Wave Maxima in the Pacific at 108S and 138N?

Observations indicate the existence of two bands of maximum thermocline depth variability centered at ;108S and 138N in the tropical Pacific Ocean. The analysis of a numerical integration performed with the National Center for Atmospheric Research ocean general circulation model (OGCM) forced with observed fluxes of momentum, heat, and freshwater over the period from 1958 to 1997 reveals that the tropical centers of thermocline variability at 108S and 138N are associated with first-mode baroclinic Rossby waves forced by anomalous Ekman pumping. In this study the factors that may be responsible for the Rossby wave maxima at 108S and 138N, including the amplitude and spatial coherency of the forcing at those latitudes, are systematically investigated. A simple Rossby wave model is used to interpret the OGCM variability and to help to discriminate between the different factors that may produce the tropical maxima. These results indicate that the dominant factor in producing the maximum variability at 108S and 138N is the zonal coherency of the Ekman pumping, a characteristic of the forcing that becomes increasingly more pronounced at low frequencies, maximizing at timescales in the decadal range. Local maxima in the amplitude of the forcing, while not explaining the origin of the centers of variability at 108S and 138N, appear to affect the sharpness of the variability maxima at low frequencies. Although the Rossby wave model gives an excellent fit to the OGCM, some discrepancies exist: the amplitude of the thermocline variance is generally underestimated by the simple model, and the variability along 138N is westward intensified in the wave model but reaches a maximum in the central part of the basin in the OGCM. Short Rossby waves excited by small-scale Ekman pumping features, or the presence of higher-order Rossby wave modes may be responsible for the differences in the zonal variance distribution along 138N.
Study on CNN in the recognition of emotion in audio and images

In this paper, the performance of Convolution Neural Network (CNN) in image recognition and emotion recognition in speech will be compared and presented. Feature extraction and selection in pattern recognition is an important issue and have been frequently discussed. Moreover, two-dimensional signals such as image and voice are hard to be modelled well by traditional models like SVM. The ability of CNN to characterize two-dimensional signals is prominent. And CNN can adaptively extract feature to eliminate the dependence on human subjectivity or experience. It mimics the effect of local filtering in visual cortex cells to dig local correlation in natural dimensional space. In this work, for the problems of the image recognition and emotion recognition in speech, CNN and SVM which is used as baseline for comparison of the recognition effect. Different kernel functions in SVM have been experimented for image recognition with, the best accuracy is 94.17%. However, the accuracy of using CNN is 95.5% (7291 pictures for train and 2007 pictures for test) with less time consuming. In the emotion recognition of speech, the accuracy of CNN is 97.6% corresponds to 55.5% by baseline model (4000 utterances for training, 1500 for validation, 500 for test). The experimental results showed that CNN can effectively extract features and its modeling capability for two-dimensional signals is prominent.
Learning Low-Dimensional Metrics

This paper investigates the theoretical foundations of metric learning, focused on three key questions that are not fully addressed in prior work: 1) we consider learning general low-dimensional (low-rank) metrics as well as sparse metrics; 2) we develop upper and lower (minimax)bounds on the generalization error; 3) we quantify the sample complexity of metric learning in terms of the dimension of the feature space and the dimension/rank of the underlying metric;4) we also bound the accuracy of the learned metric relative to the underlying true generative metric. All the results involve novel mathematical approaches to the metric learning problem, and lso shed new light on the special case of ordinal embedding (aka non-metric multidimensional scaling).
Treatment and visual analysis of numerical simulation of supersonic flows with extensive output after parallel calculation

The present contribution is aimed at numerical modeling and graphic post-processing of data obtained in simulation of three-dimensional hypersonic flow initiated by strong shock wave oncoming on molecular cloud and interaction detailing. Investigations and simulation of supernova explosions and wave processes extended outside by means of cosmic wind have important role in developing of ISM description methods. Numerical solution of task was performed on multicore computers. To increase the prediction quality about billion cell calculation grids were approved. The outlet dataflow after detailed simulation is very extensive. Information treatment for high gradient zones near shock envelopes demand from spectator facility to use the proper visualization tools, first of all an extensive volume or surface rendering, fast tracing of streamlines and surface paths. It is essential to understand the dynamic changeable structure and flow peculiarities to avoid any misunderstanding or artifacts of realignment in stream. Numerical experiments and post-processing were performed using in-house combined GPU and multicore parallelization codes.
Design and fabrication of linear Fresnel zone plates used for microspectrometer

Fresnel zone plate is a classic optical element that however can be used as the core spectral component of micro-spectrometer, which optical path volume can be decreased to 1mm3. After passing through the Fresnel zone plate, monochromatic lights of different wavelengths will expand to spectrum because of their different focal length. We designed eight kinds of linear half zone plates to get different focal lengths and spectral performance. In the process of fabrication, we used the electron beam lithography and inductively coupled plasma (ICP) etching to produce the Fresnel zone plates. Finally, performances of Fresnel zone plates were examined by beam-split experiments. After comparison, the simulation conclusion in reference that the number of bands of Fresnel zone plates will affect the final appearance of the spectrum was verified.
Health effect of the New Nordic Diet in adults with increased waist circumference: a 6-mo randomized controlled trial.

BACKGROUND The regional Mediterranean Diet has been associated with lower risk of disease. OBJECTIVE We tested the health effects of the New Nordic Diet (NND), which is a gastronomically driven regional, organic, and environmentally friendly diet, in a carefully controlled but free-living setting. DESIGN A total of 181 centrally obese men and women, with a mean (range) age of 42 y (20-66 y), body mass index (in kg/m(2)) of 30.2 (22.6-47.3), and waist circumference of 100 cm (80-138 cm) were randomly assigned to receive either the NND (high in fruit, vegetables, whole grains, and fish) or an average Danish diet (ADD) for 26 wk. Participants received cookbooks and all foods ad libitum and free of charge by using a shop model. The primary endpoint was the weight change analyzed by both completer and intention-to-treat analyses. RESULTS A total of 147 subjects [81% (NND 81%; ADD 82%)] completed the intervention. A high dietary compliance was achieved, with significant differences in dietary intakes between groups. The mean (±SEM) weight change was -4.7 ± 0.5 kg for the NND compared with -1.5 ± 0.5 kg for the ADD (adjusted difference: -3.2 kg; 95% CI: -4.6, -1.8 kg; P < 0.001) for the completer analysis, and the difference was -3.0 kg (95% CI: -4.0, -2.1 kg) for the intention-to-treat analysis. The NND produced greater reductions in systolic blood pressure (adjusted difference: -5.1 mm Hg; 95% CI: -8.2, -2.1 mm Hg) and diastolic blood pressure (adjusted difference: -3.2 mm Hg; 95% CI: -5.7, -0.8 mm Hg) than did the ADD. CONCLUSION An ad libitum NND produces weight loss and blood pressure reduction in centrally obese individuals. This trial was registered at www.clinicaltrials. gov as NCT01195610.