Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute Phase Proteins, Trace Elements and Cytokines Expression as A Diagnostic and Prognostic Biomarker in Diseased Camel

The present study was carried out to evaluate the diagnostic value of inflammatory biomarkers on diseased camels via exploring the possible effects on oxidants and antioxidants status in addition to characterizing the profiles of acute phase proteins and inflammatory cytokines. Forty-eight adult male and female dromedary camels (Camelus dromedaries) were examined, according to general health conditions, clinical and laboratory diagnosis they were split into 3 groups. Group 1: Included 20 apparently healthy camels act as a control group, Group 2: Included 12 camels suffered from trypanosomiasis, Group 3: Included 16 camels suffered from mange. Our results revealed that the mean values of copper and zinc were significantly decreased with statistical elevation of MDA and statistical lowering of catalase and total antioxidant capacity in cases of trypanosomiasis and mange compared to apparently clinically healthy camels (P value <0.05), there is a pearson negative correlation between copper and MDA (r=-0.6; P<0.05) in diseased camels, The mean values of acute phase proteins (haptoglobin, ceruloplasmin and serum amyloid A) and inflammatory cytokines (IL-1, IL-6, IL-10 and TNF-α) were significantly elevated in diseased camels at (Trypanosomiasis and mange) than apparently clinically healthy camels (P value <0.05).
Past and present disturbances generate spatial variation in seed predation

Seed survival is a key process for plant populations; variation in the activity and abundance of animals that consume seeds can lead to dramatic shifts in seed fate. Because granivores may respond to contemporary disturbance as well as to enduring changes in habitats caused by past disturbances, understanding seed fate requires studies capable of evaluating how past and present disturbances modify granivore communities, foraging activity, and ultimately, seed predation. Historic agricultural land use and contemporary canopy harvesting are widespread disturbances that could generate large-scale patterns of seed fate by modifying environmental characteristics that determine granivore identity and behavior. To evaluate whether land-use history and canopy harvesting affect seed – animal interactions, we conducted an experiment distributed across 80,000 ha of longleaf pine woodlands that coupled large-scale canopy harvesting at seven 4-ha sites containing both post-agricultural land use and nonagricultural land use in South Carolina, United States. We deployed a total of 28,000 nail-tagged seeds and recovered the tags to quantify seed fate. Past agricultural land use and contemporary canopy harvesting interacted to affect the rate of seed predation. Seed predation rates in harvested sites depended on land-use history: Seed predation was 30% lower in post-agricultural plots than in nonagricultural plots. This interaction was driven by the differential effect of land-use history and canopy harvesting on rodent activity. Camera traps revealed that Sigmodon hispidus only foraged in harvested plots and was most active in nonagricultural plots. In harvested plots, seed removal increased with S. hispidus activity. In unharvested plots, seed removal increased with Sciurus niger activity, but S. niger was not affected by land-use history. In ﬁ nding that land-use history and canopy harvesting determine the outcomes of seed – animal interactions, we show that understanding patterns of seed predation is contingent upon the interplay of disturbances in both the distant past and recent past. These results suggest that patterns of past land use and present land use may help reconcile the considerable variation in seed fate observed in ecological communities.
On Exact Solutions and Perturbative Schemes in Higher Spin Theory

We review various methods for finding exact solutions of higher spin theory in four dimensions, and survey the known exact solutions of (non)minimal Vasiliev's equations. These include instanton-like and black hole-like solutions in (A)dS and Kleinian spacetimes. A perturbative construction of solutions with the symmetries of a domain wall is described as well. Furthermore, we review two proposed perturbative schemes: one based on perturbative treatment of the twistor space field equations followed by inverting Fronsdal kinetic terms using standard Green's functions; and an alternative scheme based on solving the twistor space field equations exactly followed by introducing the spacetime dependence using perturbatively defined gauge functions.Motivated by the need to provide a higher spin invariant characterization of the exact solutions, aspects of a proposal for a geometric description of Vasiliev's equation involving an infinite dimensional generalization of anti de Sitter space is revisited and improved.
Significantly Decreased P 27 Expression In Endometrial Carcinoma Compared to Complex Hyperplasia with Atypia ( correlation with p 53 expression )

This study was financially supported with the grants supplied by Kocaeli University Foundation of Research. P27 expression was examined on paraffin-embedded specimens in proliferative, secretory, hyperplastic and neoplastic human endometrium by immunohistochemistry. The results of p27 immunoreactivity in endometrial carcinomas were compared with clinicopathological indicators as well as with p53 expression. Thirty-eight cases of endometrial carcinoma, 30 normal functional (15 proliferative, 15 secretory), 24 hyperplastic endometrium (12 without atypia, 12 with atypia) specimens were studied by using monoclonal p27 and p53 antibodies. The streptavidin-biotin-peroxidase detection system was used and the intensity and the distribution of immunoreactivity was evaluated semiquantitatively. p27 expression was present both in the proliferative and secretory phases; the expression being stronger in the secretory period. In complex hyperplasia with atypia, p27 expression was even higher and it was significantly reduced in the endometrial carcinoma group (p<0. 05). No significant correlation was found between p27 expression and any of the clinicopathologic prognostic parameters (p>0.05). Nuclear p53 expression was detected in 13 (34. 2%) patients with endometrial carcinoma and was higher in non-endometrioid carcinomas and in tumors with increasing FIGO grade (p<0.05). High expression of p53 was not found to be a significant prognostic indicator of survival (p> 0.05). No p53 expression was detected in the endometria with proliferation, secretion or hyperplasia either simple without atypia or complex with atypia. Surprisingly, tumors with absent/low p27 expression showed absent/low p53 expression. Our data suggest that p27 is necessary to control the proliferation of endometrium and its loss of expression seems to play a role in some aspects of endometrial carcinogenesis. (Pathology Oncology Research Vol 10, No 2, 89–97)
A Hopping Robot Driven by a Series Elastic Dual-Motor Actuator

In this letter, we present the kinematically redundant series elastic dual-motor actuator (SEDMA). It consists of two motors, coupled to a series spring through a planetary differential. The redundant degree of freedom of this system can be exploited to optimize a specific aspect of the actuation task. This requires a controller, which distributes the required output power among the two different inputs in an optimal way. The closed-loop control design for redundant systems is, however, a challenging topic, especially for strongly dynamic tasks like hopping. In this work, we test the abilities of the SEDMA by using it to actuate a single-leg hopping robot. Its controller features a closed-loop hopping controller and a control allocator, which minimizes the electrical energy consumption of the SEDMA. Tests on a physical setup prove that the actuator and its online controller are able to generate consistent hopping patterns. The work highlights the difficulties in achieving optimality in online control when the internal dynamics of kinematically redundant actuators become relevant.
A nonlinear theory for unsteady flexible wing

This paper extends the previous studies by Wu (2001-2006)[1]-[3] to continue developing a fully nonlinear theory for evaluation of unsteady flow generated by a two-dimensional flexible lifting surface moving in arbitrary manner through an incompressible and inviscid fluid for modeling bird/insect flight and fish swimming. The original physical concept founded by Theodore von Kármán and William R. Sears (1938)[4] in describing the complete vortex system of a wing and its wake in non-uniform motion for their linear theory is adapted and applied to a fully nonlinear consideration. The new theory employs a joint Eulerian and Lagrangian description of the lifting-surface movement to accomplish the formulation and analysis. The present investigation presents further development for addressing arbitrary variations in wing shape and trajectory to achieve a fully nonlinear integral equation generalizing Herbert Wagner’s (1925)[5] linear version for enhancing determination of exact solutions in general.
Drowsiness Detection using Contactless Heart Rate Monitoring and Eye Tracking

Detecting drowsiness has many important applications, particularly in driver safety. Blink duration and heart rate variability are two important metrics that can be used to determine how drowsy someone is, and can be determined using image processing techniques. In order to determine blink duration, training images of open and closed eyes are used to generate a fisherimage using Fisher linear discriminant analysis. This fisherimage can then be used to determine whether the eyes are open or closed at a given time, allowing for determination of blink duration. In order to determine heart rate variability, two methods were used to determine the blood volume pulse, independent component analysis and chrominance based. Eye detection yielded very good results, with 71% to 97% accuracy in classifiying open/closed eyes. Heart rate estimates were a little less accurate, with a mean error of roughly 16 BPM for the ICA method and 13 BPM for the chrominance based method. Overall, these results show that detecting drowsiness using simple RGB cameras is very promising.
ACTION OF CORONA DISCHARGES ON BACTERIA AND SPORES * )

We have measured the E.coli bactericidal efficiency of DC and AC point-to-plane coronas in air and in argon in the corona modes positive glow, positive streamer, negative Trichel pulse and negative glow. Negative Trichel pulse and positive streamer coronas are the most efficient for production of bactericidal agents in air. Less than 5 minute exposure to the products from 30 uA of these coronas will sterilize the E.coli covered agar surfaces in a 31 volume to a survival ratio of 10 . Positive glow coronas are two orders of magnitude less efficient. 50 Hz AC coronas seem to mainly work during the negative half cycles. The bactericidal agent(s) produced by the coronas have not all been identified, but ozone O3 with concentration 35-40 ppm is probably the most important one. We show that charged particles and photons can play only a minor role, so the agent(s) must be neutral particles. The main part of them must have a lifetime in the vessel of more than 3 minutes. The much smaller, and volume/distance dependent, efficiency of coronas in humid argon indicates that metastable neutrals or radicals from H2O can play only a minor role. A preliminary test showed negligible effects of the corona treatment on the spores of Bacillus subtilis.
Incendiary News Detection

We introduce the problem of incendiary news detection . We compare and contrast this problem with the problem of hate speech detection in social media. Most of the social media posts that are classiﬁed as hate speech contain straightforward slurs, insults, swearing, etc. In contrast to social media posts, incendiary news articles often do not contain any straightforward slurs and insults but, nevertheless, incite hate. To detect such news articles, we leverage a resource from the Turkish community, where activists attempt to combat hate in media by manually tagging the news articles inciting hate. To collect non-incendiary news we retrieve news articles from two news agencies: BBC and CNN. Both BBC and CNN are recognized worldwide as serious media and are unlikely to contain foul language. We collect three different non-incendiary news corpora to ensure the validity of our classiﬁcation results. We use several feature sets and classiﬁcation approaches to differentiate between incendiary and non-incendiary news. Our classiﬁcation system achieves 97.0% accuracy.
Aalborg Universitet A Rotating Speed Controller Design Method for Power Levelling by Means of Inertia Energy in Wind Power Systems

Power fluctuation caused by wind speed variations may be harmful for the stability of the power system as well as the reliability of the wind power converter, since it may induce thermal excursions in the solder joints of the power modules. Using the wind turbine rotor inertia energy for power levelling has been studied before, but no quantified analysis or generic design method have been found. In this paper, the transfer functions from the wind speed to electrical power, electromagnetic torque and rotating speed are built, based on which the rotating speed controller is designed in the frequency domain for power levelling. Moreover, the impact of other parameters on power levelling, including the time constant of MPPT and the rotor inertia, are also studied. With the proposed optimal design, the power fluctuations are mitigated as much as possible, while the stability of the rotating speed is still guaranteed. Moreover, the oscillation of the electromagnetic torque is also reduced, and the performance of the MPPT is only weakened slightly. Keywords—wind power converter; power levelling; transfer function; inertia energy.
Waveform inversion in the frequency domain for the simultaneous determination of earthquake source mechanism and moment function

SUMMARY We propose a method of waveform inversion to rapidly and routinely estimate both the moment function and the centroid moment tensor (CMT) of an earthquake. In this method, waveform inversion is carried out in the frequency domain to obtain the moment function more rapidly than when solved in the time domain. We assume a pure double-couple source mechanism in order to stabilize the solution when using data from a small number of seismic stations. The fault and slip orientations are estimated by a grid search with respect to the strike, dip and rake angles. The moment function in the time domain is obtained from the inverse Fourier transform of the frequency components determined by the inversion. Since observed waveforms used for the inversion are limited in a particular frequency band, the estimated moment function is a bandpassed form. We develop a practical approach to estimate the deconvolved form of the moment function, from which we can reconstruct detailed rupture history and the seismic moment. The source location is determined by a spatial grid search using adaptive grid spacings, which are gradually decreased in each step of the search. We apply this method to two events that occurred in Indonesia by using data from a broad-band seismic network in Indonesia (JISNET): one northeast of Sulawesi (M w = 7.5) on 2007 January 21, and the other south of Java (M w = 7.5) on 2006 July 17. The source centroid locations and mechanisms we estimated for both events are consistent with those determined by the Global CMT Project and the National Earthquake Information Center of the U.S. Geological Survey. The estimated rupture duration of the Sulawesi event is 16 s, which is comparable to a typical duration for earthquakes of this magnitude, while that of the Java event is anomalously long (176 s), suggesting that this event was a tsunami earthquake. Our application demonstrates that this inversion method has great potential for rapid and routine estimations of both the CMT and the moment function, and may be useful for identification of tsunami earthquakes.
Deviant or Wrong? The Effect of Norm Information on the Efficacy of Punishment

A stream of research examining the effect of punishment on conformity indicates that punishment can backfire and lead to suboptimal social outcomes. We examine whether this effect is due to a lack of perceived legitimacy of rule enforcement, enabling agents to justify selfish behavior. We address the question of punishment legitimacy by shedding light upon the importance of social norms and their interplay with punishment. People are often presented with incomplete norm information: either about what most others do (empirical) or what most others deem appropriate (normative). We show that in isolation, neither punishment nor empirical/normative information increase prosocial behavior. In turn, we find that prosociality significantly increases when normative information and punishment are combined, but only when compliance is relatively cheap. When compliance is more expensive, we find that the combination of punishment and empirical information about others' conformity can have detrimental effects. In additional experiments, we explain how this negative effect is due, at least for some individuals, to punishment not being perceived as justified. Our results have important implications for researchers and practitioners alike.
The Impact of Characteristics of B2C Retailer on Purchasing Intention—Based on TAM Model

The rapid development of Internet makes B2C E-commerce more and more popular. This paper is based on TAM model and related consumer behavior theory, structuring the hypothesis model of consumer intention. Then we used SPSS 19.0 and Amos 21.0 to analyze data, and to explore the relationship between the characteristics of online retail and consumer perception, and relationship between consumer perception and consumer intention. The results suggest that: 1) credit degree negatively influences perceived risks; 2) information quality has a significant positive impact on perceived usefulness and perceived ease of use, and a significant negative impact on perceived risk; 3) service quality has a significant positive impact on perceived usefulness and perceived ease of use, and the impact on the perceived risk is not significant; 4) perceived usefulness and perceived ease of use positively influence purchasing intention, perceived risks negatively influence purchasing intention. The conclusion of this study may be useful for online retailer to make valid marketing strategies.
Bayesian Model-Assisted PRIM Algorithm

The patient rule-induction method (PRIM) is a statistical learning method that seeks to locate regions in the feature space where the response variable has a high value. In this paper we present a Bayesian model-assisted PRIM algorithm. This algorithm can automatically cover promising regions in the feature space based on Bayes factor values and marginal posterior probabilities. The model-assisted part of the method begins with the specification of a flexible mean-variance shift model for quantitative response variables. This enables predictions, and has the potential to achieve even higher prediction power through the Bayesian model averaging. A simulated example is provided to illustrate the effectiveness of this new algorithm.
Sustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011

In this paper, we investigate the implications of continued industrial economic growth on environmental pollution in China in order to inform strategic policies to achieve sustainable development of the industrial sector. We calculate green total factor productivity (TFP) for each industrial sector by estimating the Global Malmquist-Luenberger (GML) index using a Slacks-based Measure Directional Distance Function (SBM-DDF). We find that the green TFP increased at an average annual rate of approximately 6% over the 11-year period. A slightly greater portion of this growth is attributable to technological progress (57%) rather than technical efficiency (43%). To investigate the relationship between industrial economic growth and pollutant levels, we first adopt a hierarchical clustering procedure to group all industrial sectors into green-intensive, intermediate and extensive clusters based on the contribution of green TFP to industrial economic growth within respective industries. Based on an econometric estimation of the relationship between pollutant levels and industrial GDP per capita, we find clear evidence in favor of the Environmental Kuznets Curve (EKC) theory only with wastewater as the primary pollutant of interest and only with industrial sectors that are already relatively pollution intensive. We find no evidence in support of the EKC theory when sulfur dioxide or solid waste is the pollutant of major concern. In general, blindly accelerating industrial economic growth will likely worsen environmental quality, unless reasonable environmental policy interventions are implemented.
Targeting p53-MDM2 Interaction by Natural Plant Products: A Novel Approach for Future Cancer Therapy

P53 is a tumor suppressor gene with a well established role in causation of different human cancers. The p53-MDM2 interactions have become the cornerstone of intensive cancer based research due to their effective anti-cancer properties. These potential compounds are found in many traditional natural plant products. In the present context, there is a tremendous level of enthusiasm to evaluate the pharmacological potential of various natural plants used in traditional systems of medicine. The experimental efforts to carry out such biological screening of plants are still considerably high, and therefore, computer-aided drug design approaches have become attractive alternatives. Virtual screening has established itself as a dynamic and cost-effective technology to isolate compounds with pharmacological potential. The main aim of the present study is to identify a novel or similar or better drug like compound in comparison with that of the FDA approved drug Nutlin (potent MDM2-p53 inhibitor) from the Hamelia patens plant, through the Structure Based Virtual Screening, Docking and Molecular Dynamic Simulation studies, for future anti-cancer therapy for future implications as a therapeutic model. Key-wordsMDM2-p53 interaction, Natural Plant products, Virtual screening, Docking, Molecular dynamic simulation -------------------------------------------------IJLSSR----------------------------------------------INTRODUCTION Cancer is an abnormal growth of cells, capable of invading surrounding tissue. This progression encompasses multiple stages, owing to the malignant potential. Heritable genetic mutation constitutes the nidus for uncontrolled proliferation. These mutations alter the quantity (or) function of the protein products that regulates cell growth and division with DNA repair. There are two major categories of mutated genes; “oncogenes and tumor suppressor genes” [1]. Access this article online
Sovereign bond yields in emerging Asia: New evidence

This paper studies the determinants of sovereign bond yields in nine emerging Asian countries over the period 1994-2012. In the long-run, we first reveal that sovereign bond yields weakly and negatively depends on the changes in public debt. This result is not consistent with the theoretical hypothesis that rising government debt may foster sovereign bond yields through the default risk. Second, we fail to find out a long-run relationship between potential economic growth and sovereign borrowing costs in emerging Asia. Lastly, this paper evidences the preliminary interventions of emerging Asian authorities in separating government debt management from monetary management.