Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemopreventive effect of corosolic acid in human hepatocellular carcinoma cells

Anticancer effects of corosolic acid have been demonstrated earlier in human cervix adenocarcinoma and osteosarcoma cells, but the exact underlying molecular mechanisms have not been studied. Hence, an attempt was made to identify the anticancer mechanism of corosolic acid in human hepatocellular carcinoma cells [HepG2]. The anticancer activity of corosolic acid through cell growth inhibition by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay, reactive oxygen species (ROS) generation, mitochondrial membrane potential and apoptotic fragmentations by fluorescence microscope was evaluated. In addition, the cleavage of PARP, NF-κB, cytochrome c (cyt. C) release, and Bax and Bcl2 expression was analyzed by Western blot. The results clearly indicate that corosolic acid was involved in the alteration of mitochondrial membrane potential resulting in the release of cyt. C from mitochondria and increased ROS generation. The corosolic acid treatment causes the induction of apoptosis in a dose dependent manner (IC 50 , 40 μM). In conclusion, corosolic acid had chemopreventive effect on HepG2 cells by apoptosis. Keywords : Corosolic acid, hepatocellular carcinoma, reactive oxygen species (ROS), apoptosis, lipid peroxidation African Journal of Biotechnology Vol. 12(19), pp. 2733-2742
Table driven prediction for recursive descent LL(k) parsers

Programming languages are typically described in BNF or some extension of BNF, and the process of converting these descriptions into parsers is performed by parser generators. Some of the parser generators that convert LL grammars into parsers construct them to use recursive descent that gives them context during execution. The context is provided by the execution stack as the parser descends into the grammar and this is what allows the full expressiveness of LL grammars. Table driven parsers can be generated instead but restrictions are placed on the LL grammars that can be accepted. The benefit of tables is that they facilitate a separation of syntax analysis and semantic code written by a language designer. They are also faster and they simplify language implementation andmodification. This paper proposes the possibility of a hybrid system that makes decisions using tables but once decisions are made recursive descent is employed to maintain context. The benefits of each system are maintained, and the drawbacks are mitigated. Also discussed are the modifications made to an existing parser generator, oops (version 2), so that it accepts LL(fc) grammars and builds parsers using this system as proof-of-concept.
SISTEMA HÍBRIDO EVOLUCIONÁRIO BASEADO EM DECOMPOSIÇÃO PARA PREVISÃO DE SÉRIES TEMPORAIS Por

Time series forecasting is an important task in the field of machine learning and has many applications in stock market, hydrology, weather and so on. The analysis of the dependence between adjacent observations in the series is necessary in order to achieve better forecasts. Dynamic models are used to perform mappings in the time series by approximating to the data generating process and being able to perform predictions. However, the data generating process of a time series may produce both linear and nonlinear patterns that need to be mapped. Linear models such as the autoregressive integrated moving average (ARIMA) are able to map linear patterns, although not indicated when nonlinear patterns are present in the series. Nonlinear models such as the artificial neural networks (ANNs) perform nonlinear mappings but demonstrate reduced performance in the presence of linear patterns in comparison to linear models. Hybrid approaches in the literature perform mappings of linear and nonlinear patterns simultaneously or applying two or more phases.Supposing that the models are adjusted to the data, the difference between the predicted value and the data presents a white noise behavior, thus it is considered that the difference of values (residual) is composed by uncorrelated random shocks. In two-phase approaches the residual produced by the linear model in the first phase is used in the nonlinear model. Also the parameters of the models have an important influence on their performance. Such approaches produce more accurate predictions when compared with traditional methods. In this thesis, we explore evolutionary system in the context of optimization of parameters for both linear and nonlinear methods, taking into consideration the patterns in a time series. In the proposed approach, an exponential smoothing filter is used to decompose a series with normal distribution which is applied to an ARIMA model and the residual series is applied to a system composed by an autoregressive (AR) and a support vector regression methods (SVR). Variations of particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed in the optimization of hyper-parameters of the system. Experiments were conducted using data sets from real world problems comparing with methods in the literature. The results indicate that the method achieved accurate predictions in most cases. The exponential smoothing filter assumes that the given series has no trend patterns. Series with linear trend were detrended, however in series with exponential or polynomial trends the proposed method achieved reduced performance. The proposed method has potential to improvements by using methods that perform an automatic mapping of trend patterns (double exponential smoothing). In this work, the additive model is adopted, however in some series a multiplicative model could achieve better forecasts.
Synthesis of the tectonic and sedimentological evolution of the late Proterozoic-early Cambrian Hedmark Basin, the Caledonian Thrust Belt, southern Norway

The Hedmark Basin was formed by rifting c. 750-590 Ma ago in an area about 130-230 km NW of the present position of the basinal sequence in the Caledonian nappe region. A pre-rift sequence may be represented by fine-grained ftuvial sandstones. The rift episode is divided into three thermo-mechanical phases which individually are characterized by one or several spans of structural-sedimentary evolution. A western graben with marine turbidite sandstones and black shales was formed during the phase of initial crustal stretching (A). The main phase of crustal stretching (B) included basin widening by an eastward moving fault system, renewed deep fracturing with basalt extrusion, block faulting causing sub­ basins and local structural inversions, and possible strike-slip movements along the Imsdalen Fault (IMF ). Sedimentary environments included alluvial fans and plains, are as with shallow-marine sand and carbonate mud, fan deltas, sub-marine fans and basin lows with organic-rich mud. The phase of thermal cooling (C) was characterized by waning fault activity, decreasing deposition in sub-basins and a long period of slow regional subsidence. The Varangerian glaciation (c. 650 Ma) took place during this phase and was succeeded mainly by ftuvial and shallow-marine siliciclastic sedimentation. The Baltoscandian rift episode was terminated by the Early Cambrian transgression.
J un 2 01 6 Dissipative Waves in Real Gases

In this paper, we characterize a class of solutions to the unsteady 2-dimensional flow of a van der Waals fluid involving shock waves, and derive an asymptotic amplitude equation exhibiting quadratic and cubic nonlinearities including dissipation and diffraction. We exploit the theory of nonclassical symmetry reduction to obtain some exact solutions. Because of the nonlinearities present in the evolution equation, one expects that the wave profile will eventually encounter distortion and steepening which in the limit of vanishing dissipation culminates into a shock wave; and once shock is formed, it will propagate by separating the portions of the continuous region. Here we have shown how the real gas effects, which manifest themselves through the van der Waals parameters ã and b̃ influence the wave characteristics, namely the shape, strength, and decay behavior of shocks.
Working Paper 8707 IDENTIFYING PRODUCTIVITY AND AMENITY EFFECTS IN INTERURBAN WAGE DIFFERENTIALS

This study focuses on the relative importance of amenity and productivity differences in determining wage differentials across urban areas. The approach developed takes advantage of the connection between land and labor market clearing conditions required for locational equilibrium of households and firms. Data on recent movers are used to estimate equilibrium wages and rents for a sample of metropolitan areas. This information is then used to identify amenity and productivity components of wages for each city in the sample. Using national estimates of the relative share of land in consumption and production, differences in productivity and amenities are found to be roughly equal sources of wage variation across the sample.
The Conservatism in Accounting and Its Effect on Earnings Response Coefficient in Tehran Stock Exchange Listed Companies

The main purpose of this research is to investigate the relationship between conservatism and earnings response coefficient. For conservatism the book-to-market ratio and for measurement of earnings management Ohlson's valuation model is used. The statistic population of the research includesthe listed companies in Tehran Stock Exchange and the samples include 154 companies over the period of 2007 to 2012. Using the panel regression analysis, several models have been estimated and the hypotheses have been examined. Results show that there is negative and significant relationship between conservatism and earnings response coefficient.
GLOBAL ENERGETICS OF SOLAR FLARES. III. NONTHERMAL ENERGIES

This study entails the third part of a global flare energetics project, in which Ramaty High-Energy Solar Spectroscopic Imager (RHESSI) data of 191 M and X-class flare events from the first 3.5 years of the Solar Dynamics Observatory mission are analyzed. We fit a thermal and a nonthermal component to RHESSI spectra, yielding the temperature of the differential emission measure (DEM) tail, the nonthermal power-law slope and flux, and the thermal/nonthermal cross-over energy eco. From these parameters, we calculate the total nonthermal energy Ent in electrons with two different methods: (1) using the observed cross-over energy eco as low-energy cutoff, and (2) using the low-energy cutoff ewt predicted by the warm thick-target bremsstrahlung model of Kontar et al. Based on a mean temperature of Te = 8.6 MK in active regions, we find low-energy cutoff energies of for the warm-target model, which is significantly lower than the cross-over energies . Comparing with the statistics of magnetically dissipated energies Emag and thermal energies Eth from the two previous studies, we find the following mean (logarithmic) energy ratios with the warm-target model: , , and . The total dissipated magnetic energy exceeds the thermal energy in 95% and the nonthermal energy in 71% of the flare events, which confirms that magnetic reconnection processes are sufficient to explain flare energies. The nonthermal energy exceeds the thermal energy in 85% of the events, which largely confirms the warm thick-target model.
九州大学学術情報リポジトリ Kyushu University Institutional Repository RECOVERY OF INCOMPLETE TABLES UNDER FUNCTIONAL DEPENDENCIES

In this paper we consider incomplete tables over some attribute set and discuss the recovery problem under functional dependencies. An incomplete table is introduced as a table over an attribute set such that each table entry is a subset of the attribute domain instead of just a single value. The recovery problem we consider is to extend the given incomplete table so that each table entry contains only one value and the resulting table will be consistent with a given set of functional dependencies. We show that the recovery problem for incomplete tables such that each table entry is finite is NP-com plete. We also give some observation on the unique recoverability. Furthermore, we consider timevariant tables. The recovery problem for timevariaut tables is shown to be PSPACEcomplete.
Influence of Multi-walled Carbon nanotube on Physical Properties of Epoxy/Cement Nanocomposite

The research effort described in this paper is related to the glycidyl end-capped poly(bisphenol A-co-epichlorohydrin) and white Portland cement nanocomposites. The effect of adding carboxylated multi-walled carbon nanotube (MWCNT) on the properties of polymer/cement composites was considered. The physical parameters considered were morphology, absorptivity, compressive strength, and compressive modulus of the epoxy/cement‑based nanocomposites. Two type of significant interaction operated in epoxy/MWCNT composites i.e. π‒π interaction and hydrogen bonding. In all the nanocomposites, the absorptivity was incessantly increased with time. One of the most striking features of the absorbent polymer-cement composite was viewed by scanning electron microscopic (SEM). The carbon nanotube was evenly distributed in the epoxy/cement matrix and there was the lack of defects such as air bubbles and cracks. The compressive strength and modulus were affected primarily by the nanotube loading and interaction between polymeric phase as well as MWCNT addition. Moreover, the cement addition in epoxy phase was important to increase the mechanical properties of the materials.
Progress of Polymer-based Flexible Conductive Composites

Abstract:The development of flexible wearable electronic devices is one of the future directions of technology development. Flexible conductive materials are important supporting materials for wearable electronic devices. Polymer has excellent fl exibility, it is an important way to prepare fl exible conductor from polymer-based conductive composites. In this paper, the research progress of polymer-based fl exible conductive composites is summarized from the aspects of preparation and characterization methods. The key factors to realize fl exible conductor are put forward, namely, the maintenance of excellent polymer elasticity and the realization of stable. The design and preparation of the extensible conductor with high elasticity matrix and nanofi ller are introduced in detail, and the problems in the current research are summarized.
Artificial magnetic materials based on the new magnetic particle: Metasolenoid

New possibilities to design artificial magnetic materials for microwave frequencies are considered. Such composites can be used in microwave engineering at frequencies where no natural lowloss magnetic materials are available. A new magnetic particle (metasolenoid) formed by a stack of many parallel and very closely spaced single broken loops is proposed and analyzed analytically, numerically, and experimentally. It is shown that the effective permeability can reach reasonably high values over a wide frequency range when using such inclusions.
Trade openness, technological shocks and spillovers in the labour market: A GVAR analysis of the US manufacturing sector*

In this paper, we seek to analyse the extent to which disproportionate labour market weakness in the US manufacturing sector over the last decades has derived from increasing trade openness and technological change. The econometric approach involves an application of the recently developed global VAR (GVAR) methodology of Dees, DiMauro, Pesaran, and Smith (2005) to 12 manufacturing sector industries over the period 1977-2003. Such an approach allows not only for the empirical derivation of the impact of common shocks (such as increased trade openness and technology) on US employment and wage formation, but also for an analysis of intra-industry spillovers. Beyond a standard set of labour market variables and and exogenous factors, manufacturing-wide variables for each sector— measured as a weighted average of other sectors— are included. Impact elasticities indicate strong intra-sectoral linkages for employment and capital stock formation, contrasting with weak linkages for what concerns real wages and productivity. An analysis of generalised impulse responses indicate that trade openness negatively affects real wages and positively affects employment, whilst technology appears to positively affect both real wages and employment. Moreover, there is evidence of positive spillovers of employment and wage shocks across industries.
Managerial Incentives and Stock Price Manipulation

This paper presents a rational expectations model of optimal executive compensation in a setting where managers are in a position to manipulate short-term stock prices, and managers' propensity to manipulate is uncertain. Stock-based incentives elicit not only productive effort, but also costly information manipulation. We analyze the tradeoffs involved in conditioning pay on long- versus short-term performance and characterize a second-best optimal compensation scheme. The paper shows manipulation, and investors' uncertainty about it, affects the equilibrium pay contract and the informational efficiency of asset prices. The paper derives a range of new cross-sectional comparative static results and sheds light on corporate governance regulations.
Reforming Subsidies: A Tool-Kit for Policy Simulations

The paper provides basic guidelines and tools for simulating subsidy reforms with Stata using a single cross-section survey. Simulations are discussed under a partial equilibrium and medium-term framework using a marginal approach. The paper distinguishes between single priced products, such as fuel or bread, and multiple priced products, such as household utilities. Part I provides basic instructions for carrying out subsidy analyses. Part II outlines economic theory and formulae for the two types of products considered. Part III illustrates the use of the Stata codes, which are downloadable from the Internet.
Discerning Data Analysis Methods to Clarify Agonistic/Antagonistic Actions on the Ion Flux Assay of Ligand-Gated Ionotropic Glutamate Receptor on Engineered Post-Synapse Model Cells

Cell-based experiments provide the efficacy of chemicals through the biological function. The authors have described post-synapse model cell-based assay based on qualified analysis for neural drug discoveries. However, in general, cell-based assays often include data fluctuation. This may be a barrier preventing the performance for various practical purposes. In this study, we tried discerning data analysis for clarify the chemical action to the ionotoropic glutamate receptor (GluR), whereby an ion-flux assay of post-synapse model cells is performed and are analyzed based on a chemometrics approach. The dynamic behavior of the GluR of post-synapse model cell was assayed with multivariate data analysis methods namely hierarchical cluster analysis (HCA) and principal component analysis (PCA). By using HCA, we can identify and remove the non-responding samples. By using PCA, the effect of chemicals on the dynamic behavior of ion flux through GluR can be recognized clearly; as either agonist or antagonist. As shown in the results, the GluR-based assay by post-synapse model cell with data analysis methods provide a sodium influx profile which is derived by an agonists or antagonists application. By employing the data analysis methods, PCA and HCA, it is possible to develop a smart cellular biosensing system for qualified analysis.
The Omniscient Eye: Satellite Imagery, "Battlespace Awareness," and the Structures of the Imperial Gaze

This paper explores the role of aerial and satellite imagery in the US military's command, control, and intelligence (C4I) systems, with an historical focus on the Persian Gulf War of 1991. Using satellite imagery for military intelligence and warfare is part of an ongoing effort in the US Department of Defense to make all cartographic and topographic space, and the objects in it, totally visible and "transparent," what the US military calls "total battlespace awareness. " It is where imagery production is attached to concrete and purposive action in the abstract realm of "battlespace," an example of how the mundane and the monstrously violent intersect around the production of visual data and artefacts. Borrowing a metaphor from Paul Edwards, I suggest that satellite imagery can not only "open up" the world (making it transparent), but can also "close down" geographical space under a regime of surveillance and violent military control. The discursive power of aerial and satellite imagery is derived from its position as an objectifying transcendent gaze, above and beyond subjectivity (Donna Haraway's "God Trick"), and when these images are disseminated in the mass media as testaments to military prowess, they become visual representations of geographical domination (as in Denis Cosgrove's "Apollonian Eye"). In this sense, satellite imagery, photo reconnaissance, and imagery interpretation are rich sites and artefacts for exploring how power and national sovereignty turn on the visual.
Manufacturing workforce assessment using AHP and TOPSIS logic

To perform a given activity by two individuals having the same qualification, the performanceof achievement varies, which introduces the concept of individual competence level. This article presents an assessment method of multi-skilled workforce. In this paper wewill discuss how to consider the differences and similarities between acquired level and required level. For a compound competence, the objective of our method is to present a quantified assessment method usingAHP technique and TOPSISlogic which allows calculating the degree of excellence in the use of all individual competencies in execution of all activities. Keywords-Assessment,Individual competence, Performance, AHP, TOPSIS.
Plant terpenoids: applications and future potentials

The importance of terpenes in both nature and human application is difficult to overstate. Basic knowledge of terpene and isoprene biosynthesis and chemistry has accelerated the pace at which scientists have come to understand many plant biochemical and metabolic processes. The abundance and diversity of terpene compounds in nature can have ecosystem-wide influences. Although terpenes have permeated human civilization since the Egyptians, terpene synthesis pathways are only now being understood in great detail. The use of bioinformatics and molecular databases has largely contributed to analyzing exactly how and when terpenes are synthesized. Additionally, terpene synthesis is beginning to be understood in respect to the various stages of plant development. Much of this knowledge has been contributed by the plant model, Arabidopsis thaliana. Considering the advances in plant terpene knowledge and potential uses, it is conceivable that they may soon be used in agrobiotechnology.