Late Triassic dinosaur tracks from Penarth, south Wales

Evidence of Late Triassic large tetrapods from the UK is rare. Here, we describe a track-bearing surface located on the shoreline near Penarth, south Wales, United Kingdom. The total exposed surface is c. 50 m long and c. 2 m wide, and is split into northern and southern sections by a small fault. We interpret these impressions as tracks, rather than abiogenic sedimentary structures, because of the possession of marked displacement rims and their relationship to each other with regularly spaced impressions forming putative trackways. The impressions are large (up to c. 50 cm in length), but poorly preserved, and retain little information about track-maker anatomy. We discuss alternative, plausible, abiotic mechanisms that might have been responsible for the formation of these features, but reject them in favour of these impressions being tetrapod tracks. We propose that the site is an additional occurrence of the ichnotaxon Eosauropus, representing a sauropodomorph trackmaker, thereby adding a useful new datum to their sparse Late Triassic record in the UK. We also used historical photogrammetry to digitally map the extent of site erosion during 2009–2020. More than 1 m of the surface exposure has been lost over this 11-year period, and the few tracks present in both models show significant smoothing, breakage and loss of detail. These tracks are an important datapoint for Late Triassic palaeontology in the UK, even if they cannot be confidently assigned to a specific trackmaker. The documented loss of the bedding surface highlights the transient and vulnerable nature of our fossil resources, particularly in coastal settings, and the need to gather data as quickly and effectively as possible.

Intelligent Detection of Small Faults Using a Support Vector Machine

The small fault with a vertical displacement (or drop) of 2–5 m has now become an important factor affecting the production efficiency and safety of coal mines. When the 3D seismic data contain noise, it is easy to cause large errors in the prediction results of small faults. This paper proposes an intelligent small fault identification method combining variable mode decomposition (VMD) and a support vector machine (SVM). A fault forward model is established to analyze the response characteristics of different seismic attributes under the condition of random noise. The results show that VMD can effectively realize the attenuation of random noise and the seismic attributes extracted on this basis have a good correlation with the small fault. Through the analysis of the SVM algorithm and the fault forward model, it is proved that it is feasible to realize intelligent predictions of small faults by using seismic attributes as the input of a SVM. The fault prediction method using a SVM that is proposed in this paper has higher accuracy than the principal component analysis method, as the prediction results have important guiding significance and reference value for later coal mining. Therefore, the method presented in this paper can be used as a new intelligent method for small fault identification in coal fields.

Fault Diagnosis of Rotary Machine Using FFT (Fast Fourier Transformation) and Orbital Analyzer

In different industries we use different machines and most of the machines are rotary machines. The small fault in machine cause vibrations in machines. These vibrations may cause effect on machine or product produced by machine. So, it is important to study these faults present in the machines. In this paper we are going to discuss fault detection techniques. We are discussing two technique FFT (Fast Fourier Transformation) and Orbital Analysis. In FFT we are getting graphs with respect to frequencies and according to peak frequencies we predict fault while in Orbital Analysis we are getting different orbital shape graph and according to shape we predict fault in machine.

Agonism, Democracy, and the Moral Equality of Voice

Agonism emerged three decades ago as an assault on the overemphasis in political theory on justice and consensus. It has now become the norm. But its character and relation to core values of democracy are not as unproblematic today as is often thought, an issue that becomes more pressing as contemporary politics increasingly seem locked into notions of unrelenting conflict between “friends” and “enemies.” This essay traces alternative ontological roots and ethical implications of agonism, distinguishing between “imperializing” and “tempered” modes. The former, exemplified in the popular Schmitt-Mouffe formulation, is shown to be fundamentally flawed in its failure to conceive politics in a fashion that does not allow the dynamic of friend–enemy to imperially trump appeals to democratic norms. In a world of insurgent white nationalism in democratic polities, this is no small fault. “Tempered” agonists, such as William Connolly and Bonnie Honig, offer ontologies where democratic norms can gain traction. Despite the admirable qualities of these alternatives, their formulations are nevertheless not fully persuasive. The difficulty lies in their underarticulated accounts of equality. I suggest an alternative formulation of agonism that embraces a central role for the idea of the moral equality of voice, a value that resides in the seam between notions of difference, resistance, and conflict emphasized by agonists, on the one hand, and the idea of fairness emphasized by notions of democratic justice, on the other.

Coal and Gas Outburst Affected by Law of Small Fault Instability during Working Face Advance

To analyze the effect of small faults in the working face on coal and gas outbursts, the coal and gas outburst accident in the 21431 working face was studied with the 3DEC numerical simulation method, and the main research contents were the change laws of both stresses at the small fault and the overburden strata movement rate in the small fault zone of which the drop height and the strike were designed into different groups. The results show that the risk of small fault slip increases with the advancing working face. In addition, there is a positive correlation between the risk and the small fault throw. The movement rate of overburden strata in the small fault zone increases along with the rising of the small fault throw, which increases the energy transferred to the coal seam from the surrounding rock under the effect of the small fault. Hence, the effect of small faults on the working face on coal and gas outbursts was positively correlated with the small fault throw. Under the influence of a small fault strike, the closer it is to the small fault along the dip distance at the same working face, the greater the risk will be of a coal and gas outburst. And the bigger the small fault strike is, the greater is the stress concentration degree in front of the working face and the more the elastic energy is stored and the greater is the possibility of an outburst. The paper analyzes the influence of small faults on coal and gas outbursts in the working face, which has reference significance for the prediction and prevention of coal and gas outburst disaster in the working face.

Wave Field Characteristics of Small Faults around the Loose Circle of Rock Surrounding a Coal Roadway

The geological conditions of coal roadway excavation are complicated. Seismic advanced detection is strongly influenced by the loose circle of fractured rock surrounding the competent coal seam. However, the three-dimensional wave field characteristics of small fault advanced detection in the condition of the loose circle of coal roadway have not examined. In this paper, numerical modeling and field tests were conducted to address this knowledge gap. The results indicate that when a seismic source near the tunnel face is excited, the body waves and a Love channel wave propagate in the tunneling direction toward the small fault, then produces reflected body waves whose amplitude is relatively weak, and a reflected Love channel wave whose amplitude is relatively strong. When reflected body waves and the reflected Love channel wave enter the loose circle of surrounding rock, the former's signal is unrecognizable in seismic record; but the latter converts to a Love wave whose amplitude is strong in the loose circle of coal seam. The Love wave which has a large interval from other wave trains in the time domain is easily recognizable in seismic record, which makes it suitable for advanced detection of small fault. The signal-to-noise ratio of seismic record of X component is higher than those of Y component and Z component.