Miracle-dz/UniFAR-FTUs huggingface dataset:
INSPECTION EFFECTIVENESS OF ULTRASONIC TEST FOR SEVERAL DEGRADED FRP TANKS IN RBI

Fiber Reinforced Plastics (FRPs), which are composed of high strength fiber and synthetic resin, have excellent properties such as specific strength, impact resistance and chemical properties e.g. waterproofness and corrosion resistance. Since they have also good moldability, there is advantage of producing one-of-a-kind thing. Owing to these advantages, they have been used as storage tanks, pipes and ducts in chemical plant where there is corrosive process fluid: acid, base, organic solvent and others. Although FRPs have high corrosion resistance, they degrade slowly over a few decades in severe environment. In addition to physical degradation e.g. crack, delamination and swelling, chemical degradation (corrosion) might be occurred. Process fluid reacts with resin and turns it into corroded product. Enough data for such corrosion reactivity has not been reported because there are many combinations of resin and fluid. Therefore it is not easy to predict their degradation based on prior incident. As a result, leakage of process fluid from apparatus might be occurred. For example, we have experience of the fatal accident that workers, who climbed onto the roof of chemical storage tank, fell into it because of FRP roof degradation. However, generally just visual examination is conducted at best. Non-Destructive Test (NDT), which effectiveness is confirmed, is required to check such degradation on FRP device.
OUTLOOK OF CHINA’S STATE-OWNED ENTERPRISES TANSFORMATION

This paper created a framework for a dynamic institutional analysis. (1) Reduction of the conviction and motivation inside economic factors (We think that this is the inducing factors of system changes), (2) system changes will be ultimately beneficial to the efficiently allocation of resources, (3) the typical economic factors. This is from the old institutional analysis framework, Mr. Frank Knight's economic thought and historical materialism. Based on this analytical framework, we researched Transformation of China's state-owned enterprises, we come to conclusion that it is the time for the market forces play an basic role in the allocation of resources.
Emotions and Cognitions in Social Relationships :

Neurosociology is a new approach aimed at integrating social and biological sciences. In this paper, first we used Alan Fiske’s theory (1992) of elementary forms of social relationships as a nexus between sociological studies of groups and group-based emotions and relevant neuroscientific findings. Then, we identified types of social situations that generate basic emotions (happiness, anger, sadness, and fear) within particular relationships. Individuals participate differently in these situations. Therefore, they are expected to differ in their emotions and cognitions, as well as in their underlying neural activity. Finally, we considered social affiliation and social hierarchy corresponding to communal sharing and authority ranking social relationships to demonstrate the logic of neurosociological research.
Facilitating creativity - the role of the mediating organization in enabling the joint practices between artistic talents and city or business structures

The focus of the study is on mediators. How do mediating organizations facilitate creativity in the city culture? The theoretical context builds on institutional theory and communities of practice approach. The mediators are perceived as acting in the context of intersecting field. The analysis builds on three cases of mediating organizations. Structures, means and roles of the mediators were identified. The results point out the importance of developing new structures as currently the mediating work seems to be too dependent on the individual mediators. The study gives various insights for city officials on how to support and develop creativity with the means of mediators.
THE PORTUGUESE RAILWAY ROLLING STOCK ASSEMBLY INDUSTRY : BETWEEN ADAPTATION AND ADAPTABILITY

The purpose of this paper is to analyze how companies, in four dyadic customer-supplier relationships interact strategically and value the relationship outcomes and how they became constraints and opportunities affecting the industrial network. To that purpose, we empirically analyze the process through which customer and supplier manage adaptation and adaptability in order to create value, and how the focal customer organizes it’s relationships with those four different suppliers.
Latent Dirichlet Allocation and Autoencoding Variational Inference Approaches for Topic Modeling

Aspect-based Opinion Summary (AOS), consisting of aspect discovery and sentiment classification steps, has recently been emerging as one of the most crucial data mining tasks in e-commerce systems. Along this direction, the LDA-based model is considered as a notably suitable approach, since this model offers both topic modeling and sentiment classification. However, unlike traditional topic modeling, in the context of aspect discovery it is often required some initial seed words, whose prior knowledge is not easy to be incorporated into LDA models. Moreover, LDA approaches rely on sampling methods, which need to load the whole corpus into memory, making them hardly scalable. In this research, we study an alternative approach for AOS problem, based on Autoencoding Variational Inference (AVI). Firstly, we introduce the Autoencoding Variational Inference for Aspect Discovery (AVIAD) model, which extends the previous work of Autoencoding Variational Inference for Topic Models (AVITM) to embed prior knowledge of seed words. This work includes enhancement of the previous AVI architecture and also modification of the loss function. Ultimately, we present the Autoencoding Variational Inference for Joint Sentiment/Topic (AVIJST) model. In this model, we substantially extend the AVI model to support the JST model, which performs topic modeling for corresponding sentiment. The experimental results show that our proposed models enjoy higher topic coherent, faster convergence time and better accuracy on sentiment classification, as compared to their LDA-based counterparts.
The Application of a Reversed Conjoint Analysis on Physicians' Cost Sensitivity a Response to Professor J Hausman on Contingent Valuation ontribution from a Stated Preference Study in Health Care Research

This paper is a contribution to current controversies on major statistical theological issues of stated preference studies. Professor Hausman and Professor Carson, both engaged in the litigation of the Exxon Valdez case, recently discussed again three major issues: embedding/scope issue, the existence of hypothetical biases since data are generated in experiments and willingness to pay versus willing to accept. However, their papers mainly targeted contingent valuation approach in willingness to pay studies and no other types of stated preference studies such as conjoint studies. I use a unique application of another type of stated preference study, a reversed conjoint analysis on physicians’ cost sensitivity to patient economics. It aims to show the value of such stated preference study especially with this topic of patient economics, not limited to out of pocket cost or copayment as one of the attributes in a set of products’ characteristics. Investigating the research question of physicians’ preferences and their value judgment also leads to discuss more the statistical contributions of clinical judgment analysis and the mathematical formulae used to assess overall judgment achievements. Bringing new methodological contributions (e.g. using S and D efficiency statistical tests on experimental designs in combination with econometric tests on effective data) can enhance stated preference studies which are increasingly useful in health care research especially with genomic medicine. Such stated preference studies can provide good predictors of revealed preference analysis, since statistical estimates of biases already calculated with collection of micro conjoint data over minimum of 5 to 10 years showed to be reliable.
Perennials as Future Grain Crops: Opportunities and Challenges

Perennial grain crops could make a valuable addition to sustainable agriculture, potentially even as an alternative to their annual counterparts. The ability of perennials to grow year after year significantly reduces the number of agricultural inputs required, in terms of both planting and weed control, while reduced tillage improves soil health and on-farm biodiversity. Presently, perennial grain crops are not grown at large scale, mainly due to their early stages of domestication and current low yields. Narrowing the yield gap between perennial and annual grain crops will depend on characterizing differences in their life cycles, resource allocation, and reproductive strategies and understanding the trade-offs between annualism, perennialism, and yield. The genetic and biochemical pathways controlling plant growth, physiology, and senescence should be analyzed in perennial crop plants. This information could then be used to facilitate tailored genetic improvement of selected perennial grain crops to improve agronomic traits and enhance yield, while maintaining the benefits associated with perennialism.
An optimized SEC-SAXS system enabling high X-ray dose for rapid SAXS assessment with correlated UV measurements for biomolecular structure analysis

A new optimized size exclusion chromatography small-angle X-ray scattering (SEC-SAXS) system for biomolecular SAXS at the Australian Synchrotron SAXS/WAXS beamline has been developed. The compact configuration reduces sample dilution to maximize sensitivity. Coflow sample presentation allows an 11-fold increase in flux on sample without capillary fouling, improving throughput and data quality, which are now primarily limited by the full flux available on the beamline. Multi-wavelength fibre optic UV analysis in close proximity to the X-ray beam allows for accurate concentration determination for samples with known UV extinction coefficients and thus estimation of the molecular weight of the scattering particle from the forward X-ray scattering intensity. Fast-flow low-volume SEC columns provide sample throughput competitive with batch concentration series measurements, albeit with a concomitant reduction of potential resolution relative to lower flow rates and larger SEC columns. The performance of the system is demonstrated using a set of model proteins, and its utility to solve various challenges is illustrated with a diverse suite of protein samples. These developments increase the quality and rigor of SEC-SAXS analysis and open new avenues for biomolecular solution SEC-SAXS studies that have been challenged by low sample yields, temporal instability, radiation sensitivity and complex mixtures.
A Simplified Numerical Method for Blast Induced Structural Response Analysis

Efficiently and accurately predicting structural dynamic response and damage to external blast loading is a big challenge to both structural engineers and researchers. The conventional numerical treatment to this problem is proved being able to give reliable predictions, however at the cost of enormous computational time and resource. Simplified SDOF approach is popularly used in design as it is straightforward to use and also gives good structural response predictions if the response is governed by a global response mode (shear or bending) and the accurate dynamic deflection curve is available, but it cannot predict the detailed local structural damage. In this study, a new numerical approach that combines the recently proposed two-step method and the static condensation method is proposed to analyze structure response and collapse to blast loads. The two-step method divides the structural response into two phases, i.e. forced vibration phase (blast loading duration) and free vibration phase. Single- Degree-of-Freedom system approach is adopted to solve the structural element responses at the end of the forced vibration phase, and the structural free vibration simulation is carried out using the hydro-code LS-DYNA to calculate the detailed structural response and damage. The static condensation technique is utilized to condense structural components that are relatively away from the explosion center to further reduce the computational effort. To demonstrate the proposed method, the structural responses of a three story RC frame to blast loads are calculated by four approaches, i.e. the traditional detailed FE simulation, the two-step method, the model condensation method, and the new combined two-step and dynamic condensation method. Through the results comparison, the efficiency and accuracy of the proposed combined approach are demonstrated.
The Role of Selection History on the Indirect Fitness Consequences of Female Mating Biases

The ‘good genes’ model of sexual selection predicts that sexual and natural selection should act concordantly. However sexual selection can favour alleles in males that are costly when expressed in daughters, placing the two in opposition. The relationship between natural and sexual selection depends on the nature of genetic variation for fitness. Laboratory adaptation may deplete sexually concordant fitness variation, overestimating sexually antagonistic variation and obscuring good genes. I investigated sire-offspring fitness correlations in Drosophila melanogaster populations expected to differ in their levels of sexually concordant fitness variation. In maladapted populations, successful sires produced fitter daughters than unsuccessful sires; this pattern was reversed in adapted populations. Several generations later, successful sires in both population types produced lower fitness daughters than unsuccessful sires, consistent with predictions. However, subsequent generations revealed no effect of sire status on daughter fitness, highlighting the difficulty in testing predictions on the evolutionary dynamics of fitness heritability.
Improving the charge collection efficiency in GridPix

GridPix is a gas filled detector fabricated directly on top of a pixel readout chip. Ionisation electrons from charged particles induce electron avalanches which are sensed by the bond pads of the chip. The current chip, Timepix3, has roughly circular pads that are 18 μm in diameter compared to 55 × 55 μm2 pixels, so there is plenty room to enlarge them. In this research, we developed an extensive simulation of GridPix on Timepix3 and found that the readout channels only see 54(7) % of the total charge produced in an avalanche. To improve the charge collection efficiency, we modelled larger pads that can be fabricated on top of the existing ones. We found that a 50 μm diameter pad increases the charge collection efficiency to 96.7(7) %, without introducing significant crosstalk between pixels.
Integrating IPsec within OpenFlow Architecture for Secure Group Communication

Network security protocols such as IPsec have been used for many years to ensure robust end⁃to⁃end communication and are impor⁃ tant in the context of SDN. Despite the widespread installation of IPsec to date, per⁃packet protection offered by the protocol is not very compatible with OpenFlow and flow⁃like behavior. OpenFlow architecture cannot aggregate IPsec⁃ESP flows in transport mode or tunnel mode because layer⁃3 information is encrypted and therefore unreadable. In this paper, we propose using the Secu⁃ rity Parameter Index (SPI) of IPsec within the OpenFlow architecture to identify and direct IPsec flows. This enables IPsec to con⁃ form to the packet⁃based behavior of OpenFlow architecture. In addition, by distinguishing between IPsec flows, the architecture is particularly suited to secure group communication.
Bacillus thuringiensis induces cellular stress in the mosquito vector, Culex pipiens, prior to death.

This study was conducted to investigate the oxidative stress and apoptotic signs detectable by flow cytometry as proposed pathogenicity mechanisms for the mosquitocidal bacterium Bacillus thuringiensis (Bt) in the mosquito vector, Culex pipiens. Obtained data showed elevation in the levels of the oxidative stress biomarkers, the lipid peroxidation and protein oxidation, upon Bt-infection. Larvae showed significant higher levels of both lipid peroxidation and protein oxidation at 12 and 24h post-infection compared to control ones. In addition, Bt-inoculated adult mosquitoes also showed significant higher lipid peroxidation at 12 and 24h post-inoculation compared to control ones. These signs of oxidative stress were more pronounced in bacterial infected larvae than in bacterial inoculated adult mosquitoes. Finally, Bt-infected larvae showed significant higher percentages of cellular apoptosis at 12 an 24h post-infection compared to control ones. These data may indicate that Bt infection induced oxidative stress and apoptosis proceeding cellular damage, and thus, may be suggested as important pathogenicity mechanisms of Bt in its mosquito host. And hence, these data may participate in improving our understanding of the mosquito-Bt interaction scenario, which may help improving the biocontrol measurements against mosquito vectors.
Zonal Flows as Statistical Equilibria

Zonal jets are striking and beautiful examples of the propensity for geophysical turbulent flows to spontaneously self-organize into robust, large scale coherent structures. There exist many dynamical mechanisms for the formation of zonal jets: statistical theories (kinetic approaches, second order or larger oder closures), deterministic approaches (modulational instability, β-plumes, radiating instability, zonostrophic turbulence, and so on). A striking remark is that all these different dynamical approaches, each of them possibly relevant in some specific regimes, lead to the same kind of final jet structures. Is it then possible to have a more general explanation of why all these different dynamical regimes, from fully turbulent flows to gentle quasilinear regime, consistently lead to the same jet attractors ? Equilibrium statistical mechanics provides an answer to this general question. Here we we present the salient features of this theory and review applications of this approach to the description of zonal jets. We show that equilibrium states on a beta plane or a sphere are usually zonal or quasi-zonal, and that increasing the energy leads to bifurcations breaking the zonal symmetry.
Generation Of Electricity Using Vermicompost With Different Substrates Through Single Chamber MFC Approach

The application of Microbial Fuel Cell (MFC) for electricity generation has been developing recently. In recent years, researchers have shown that MFC can be used to produce electricity from water containing glucose, acetate or lactate. This research explores the application of Single chamber MFC in generating electricity using different waste water mixed with vermicompost from Jabalpur. In order to obtain the aim of this research, a system of MFC with microbes has been used. Based on the result of different types of waste water samples with vermicompost, it found that the maximum voltage generated among all the three combinations is 385mV at day five by waste water of biscuit factory mixed with vermicompost. The potential difference generated by the MFC was measured using multimeter.
Vegetation Coverage and Its Dynamic Changes of Mulan County in Heilongjiang Province Based on RS and GIS

Vegetation cover not only takes as an import parameter for monitoring the vegetation situation of land surface , but also is an important indicator indicates the quality of the ecological environment and its changes. Therefore, in this paper , The Landsat TM images of 1989 and 2011 was used to extract the normalized difference vegetation index (NDVI) , then, the vegetation cover was obtained by NDVI using RS software ERDAS IMAGE 9.2, the results shown that : the increasing area of NDVI (0.2~0.3) was greatest, which was 141.41 km, on the contrary, the reduced area of NDVI (0.4~0.5) was 340.29 km, the lower vegetation coverage region covered the greatest increasing area, while the reduced area of higher vegetation coverage was maximum. Keywords-NDVI, RS; Vegetation cover; Mulan county
Effect of the process parameters on the oil extraction yield during supercritical fluid extraction from grape seed

The supercritical fluid extraction is an effective technology in the recovery of biologically valuable compounds from grape seed. In this work, the effect of the main operational parameters involved in the supercritical CO2 extraction of oil from grape seeds was investigated. The oil extraction yield oil was determined as a function of pressure (20 MPa and 30 MPa), temperature (313 K and 333K), solvent flow (1 g/min and 5 g/min) and particle size (0.4 mm and 0.80 mm). The oil extraction yield increased with increasing pressure and decreasing temperature, due to the influence of pressure and temperature on oil solubility. On the other hand, the smaller was the particles, the higher the final yield. Although the oil extraction yield increased with the increased solvent flow, it should be noted that specific CO2 consumption also increased.
Computed-Torque Control of a Wheeled Mobile Manipulator

The path-tracking problem of a wheeled mobile manipulator is addressed in this work. Instead of the classical kinematics model-based control commonly considered, the analysis of the problem is based on the dynamic model of the system. Borrowed from the rigid robot manipulator literature, the well-known computed torque control strategy is applied to control a wheeled mobile manipulator in the task space. It is shown that the considered strategy solves the problem assuring the closed loop stability of the system, allowing in this way the convergence of the tracking errors. The performance of the tracking strategy is evaluated by simulation, showing an acceptable performance.
II Design and Fabrication 15 Materials for Microelectromechanical Systems

16 MEMS Fabrication Marc J. Madou Micromachining: Introduction • Historical Note • Silicon Crystallography • Silicon as a Substrate and Structural Material • Wet Isotropic and Anisotropic Etching • Etching With Bias and/or Illumination of the Semiconductor • Etch-Stop Techniques • Problems with Wet Bulk Micromachining • Wet Bulk Micromachining Examples • Surface Micromachining: Introduction • Historical Note • Mechanical Properties of Thin Films • Surface Micromachining Processes • Poly-Si Surface Micromachining Modifications • Non-Poly-Si Surface Micromachining Modifications • Resists as Structural Elements and Molds in Surface Micromachining • Materials Case Studies • Polysilicon Surface Micromachining Examples
Analyses of complete nucleotide sequence of Iranian isolate of maize dwarf mosaic virus ( MDMV ) and notes on the origin and evolution of MDMV *

Complete nucleotide sequence of an Iranian isolate of Maize dwarf mosaic virus (MDMV-Ir) was determined. The viral genome comprises 9499 nucleotides, excluding a 3′-terminal poly A tail. It consists of a 139 nucleotide long 5′noncoding region, a 234 nucleotide long 3′noncoding region and an open reading frame (ORF) which encodes a single polyprotein of 3042 amino acid residues. MDMV-Ir shares 86.4% to 91.9% nucleotide identity and 93.9% to 97.3% amino acid sequence similarity with other isolates of the virus. The nucleotide sequence identity of MDMV-Ir with full sequences of other cereal potyviruses available in GenBank ranged from 54 to 70.5%. The putative amino acid sequences of MDMV-Ir proteins showed 29.8% to 60% similarity to corresponding proteins of other cereal viruses in the GenBank. Sequence comparisons and phylogenetic analyses of the complete genome and derived polyproteins revealed that MDMV-Ir has the highest similarity to the Bulgarian isolate of MDMV, and among other cereal potyviruses it has the closest relationship to Sorghum mosaic virus. These analyses also indicated that MDMV populations are a monophyletic group originated in the Mediterranean basin.