Showing papers on "Section (archaeology) published in 2021"

Economics and climate emergency

Abstract: In this essay we provide introductory comment for the collection of solicited essays on Economics and Climate Emergency. In the first section we suggest that recent critique of the climate movement...

Mechanisms and Relations

Abstract: Mechanisms are organized collections of objects and activities that underlie certain phenomena/behaviours. In this article, I shall argue that the organizations of mechanisms should be thought of as external relations, namely, as relations that do not entirely depend on their relata’s existence, nor on their natures, nor on their intrinsic properties. After having introduced in the first two sections mechanisms and the ontology of relations, I shall analyse the organizations of mechanisms along four different dimensions: spatial, temporal, causal and hierarchical. I shall demonstrate that each dimension requires that organizations be taken as external relations. Finally, in the last section, I shall anticipate and reply to two objections.

Wood identification based on longitudinal section images by using deep learning

Abstract: Automatic species identification has the potential to improve the efficacy and automation of wood processing systems significantly. Recent advances in deep learning allowed for the automation of many previously difficult tasks, and in this paper, we investigate the feasibility of using deep convolutional neural networks (CNNs) for hardwood lumber identification. In particular, two highly effective CNNs (ResNet-50 and DenseNet-121) as well as lightweight MobileNet-V2 were tested. Overall, 98.2% accuracy was achieved for 11 common hardwood species classification tasks.

From Field Archaeology to Virtual Reconstruction: A Five Steps Method Using the Extended Matrix

Abstract: This article is framed into the theoretical and methodological background of virtual archaeology. The advantages of virtual archaeology and its weak points have long been discussed in academia, formulating theoretical foundations and principles to be followed in order to guarantee scientific results, where data are traceable, transparent and verifiable. Gathering the inheritance of the last 30 years of debates and research, this work proposes implementing these principles through the formulation of a methodological approach, to virtual reconstruction of archaeological contexts, consisting of an application protocol articulated in five steps. In particular, the proposed methodology is grounded in the Extended Matrix (EM), a formal language and tools entirely developed and tested by the Virtual Heritage lab of the CNR ISPC. The EM takes its cue from the Matrix of Harris and adapts its system to the specific needs arising in the fields of virtual reconstruction and scientific visualisation. This protocol, which ranges from fieldwork to the publication of scientific data, has been tested and systematised in over ten years of activity on various complex and significant archaeological contexts. In the article, each methodological step is supported by case studies described in detail and accompanied by a graphic apparatus that clearly illustrates the results obtained. These case studies led to the definition of version 1.2 of the EM as described in the methods section.

Seismic-Scale Geometries and Sequence-Stratigraphic Architecture of Early Cretaceous Syn-Post Rift Carbonate Systems, Presalt Section, Brazil

Abstract: Abstract Regional and detailed seismic stratigraphic analyses of Early Cretaceous (Aptian) presalt carbonate sections from offshore Brazil reveal the complex stratigraphic architecture of late- and post-rift lacustrine carbonate systems. The lateral and vertical distribution of calibrated seismic facies within this framework highlights the evolution through time of the carbonate system and bathymetry of the host lacustrine basin. Despite the simple, largely abiotic and microbial components, lacustrine carbonate accumulations formed complex geometries that closely resemble those observed from marine systems, suggesting that a downward-tapering carbonate production profile must have occurred. The complexity of the stratigraphic architecture reflects lateral variations in subsidence patterns combined with the interference of the basement topography, palaeowind directions and basinal filling patterns. Well-imaged clinoforms several hundred metres high attest to both the existence of significant lake-bottom topography, locally in excess of 800 m, and the occurrence of deep water at time of deposition. Platform margin trajectory and vertical and lateral architecture of clinoform packages through time reveal distinct sequence boundaries that can be correlated in detail only locally, demonstrating the impact of syndepositional tectonics, and possibly recurrent isolation of smaller lakes during lowstands. Depositional models from this study fill a gap in current understanding of lacustrine carbonate systems and offer a template for exploration and appraisal of the presalt play.

On the conceptualization and measurement of flow

Abstract: This chapter introduces in chronological order the three main measurement methods—the Flow Questionnaire, the Experience Sampling Method, and the standardized scales of the componential approach—that researchers developed and used in conducting research on the flow state. Each measurement method and underlying conceptualization is explained, and its strengths and limitations are then discussed in relation to the other measurement methods and associated conceptualizations. The analysis reveals that, although the concept of flow remained stable since its inception, the models of flow that researchers developed in conjunction with the measurement methods changed substantially over time. Moreover, the findings obtained by applying the various measurement methods led to corroborations and disconfirmations of the underlying models, and hence provided indications on how to interpret and possibly modify flow theory. The chapter then analyzes the emerging process approach, which conceptualizes and measures flow as a dynamic path rather than an object, and highlights its potential for integrating flow and creativity within the same conceptual framework. The final section outlines new directions for developing more valid and useful measurement methods that can help to advance the understanding of flow, its antecedents, and its consequences.

The Euromaidan Revolution, Reforms and Decommunisation in Ukraine

Abstract: This article provides a comprehensive analysis of Ukraine’s adoption of four decommunisation laws in April 2015, their implementation and the controversy they generated. The first section analyses ...

Fault section diagnosis of power systems with logical operation binary gaining-sharing knowledge-based algorithm

Abstract: Fault section diagnosis (FSD) is a critical part of the power system dispatching and control. To diagnose the faulty section(s) correctly, an improved binary variant of gaining‐sharing knowledge‐based algorithm (GSK) named LOBGSK is presented in this paper. It stretches the original GSK over binary search space so as to solve the 0‐1 integer programming FSD problem. In LOBGSK, individuals are encoded by binary numbers and logical operations instead of real arithmetic operations are designed to update the individuals. By this, LOBGSK can avoid transcoding in solving the FSD problem. To validate the effectiveness of LOBGSK, it is first applied to a 4‐substation test system considering various fault scenarios. Then it is further implemented to the IEEE 118‐bus system and an actual fault event occurred in a practical power grid in Jilin province of China. In addition, the influence of three key parameters of LOBGSK is also investigated. Simulation results show that LOBGSK is robust against its key parameters and can offer a 100% successful rate to diagnose different faults quickly, which is demonstrated by the reported results of some published FSD methods. Furthermore, it outperforms seven state‐of‐the‐art metaheuristic algorithms and the original GSK in solving the FSD problem of power systems.

The response of calcareous nannoplankton to the latest Pliensbachian–early Toarcian environmental changes in the Camino Section (Basque Cantabrian Basin, northern Spain)

Abstract: Abstract Quantitative analysis performed on latest Pliensbachian–early Toarcian calcareous nannofossil assemblages from the Camino section (Basque Cantabrian Basin) allowed their response to the environmental changes recorded during this time interval to be deciphered, characterized by an extinction event. The results were introduced within a principal component analysis and compared with the stable isotope and total organic carbon curves. During the latest Pliensbachian, the Mirabile and the lowermost part of the Semicelatum Ammonite Subzones, Schizosphaerella, Bussonius prinsii, Biscutum finchii, Calcivascularis jansae and Similiscutum avitum, taxa that probably thrived in rather cold waters, dominated the calcareous nannofossil assemblages. Coinciding with warmer and wetter conditions, which probably led to an increase in surface water fertility, recorded slightly below the extinction boundary, the mesotrophic taxa B. novum, L. hauffii and Calyculus spp. were dominant. Nevertheless, T. patulus and C. jansae, which became extinct just below the extinction boundary, show preferences for oligotrophic conditions. Salinities similar to those of modern oceans have been inferred around the extinction boundary, considering the coupling between the abundances of Calyculus spp. and the species richness together with the absence of black shales. After the extinction boundary, nannofossil assemblages were dominated by the deep-dwelling C. crassus and the shallow-dwelling Lotharingius species, interpreted as opportunistic taxa. This work confirms that calcareous nannofossils are a really useful tool for palaeoceanographic and palaeoenvironmental reconstructions, especially in terms of climatic changes.

Splashing in deep waters of theory: A commentary section on Sandberg and Alvesson’s (2020) “Meanings of theory”:

Abstract: This section presents four commentaries to Sandberg and Alvesson’s (2020) “Meanings of theory,” an article that argues common definitions of theory are too restrictive. To contribute toward a more ...

Reconstructing Normal Section Profiles of 3-D Revolving Structures via Pose-Unconstrained Multiline Structured-Light Vision

Abstract: Reconstructing normal section profiles is an effective approach at monitoring the shape of a 3-D revolving-symmetry structure. The existing reconstruction methods typically require a sensor to work in a constrained pose and thus suffer from poor flexibility and limited view-angle. This article proposes a pose-unconstrained normal section profile reconstruction framework for 3-D revolving-symmetry structures, which estimates the normal section profile using multiple 3-D general section profiles acquired by a multiline structured light vision sensor. First, we establish a model to estimate the revolving axis and calculate the normal section profile using corresponding points. Then, the model is embedded into an iterative algorithm to optimize the corresponding points and calculate the accurate normal section profile. Simulations show that our algorithm is applicable to 3-D revolving structures of various shapes and is robust against noise and local surface defects. Real experiments were conducted on reconstructing the normal section profile of a 3-D wheel. The results demonstrate that our algorithm reaches the mean precision of 0.065 mm and repeatability with the STD of 0.007 mm. It is also robust to pose and position of the sensor.

Evaluation of Landslide Susceptibility of the Ya'an-Linzhi Section of the Sichuan-Tibet Railway based on Deep Learning

Abstract: The Qinghai-Tibet Plateau is one area with the most frequent landslide hazards due to its unique geology, topography, and climate conditions, posing severe threats to engineering construction and human settlements. The Sichuan-Tibet Railway that is currently under construction crosses the Qinghai-Tibet Plateau; there are frequent landslide disasters along the line, which seriously threaten the construction of the railway. This paper applied two deep learning (DL) algorithms, the convolutional neural network (CNN) and deep neural network (DNN), to landslide susceptibility mapping of the Ya’an-Linzhi section of the Sichuan-Tibet Railway. A geospatial database was generated based on 587 landslide hazards determined by Interferometric Synthetic Aperture Radar (InSAR) Stacking technology, field geological hazard surveys, and 18 landslide influencing factors were selected. The landslides were randomly divided into training data (70%) and validation data (30%) for the modeling training and testing. The Pearson correlation coefficient and information gain method were used to perform the correlation analysis and feature selection of 18 influencing factors. Both models were evaluated and compared using the receiver operating characteristic (ROC) curve and confusion matrix. The results show that better performance in both the training and testing phases was provided by the CNN algorithm (AUC = 0.88) compared to the DNN algorithm (AUC = 0.84). Slope, elevation, and rainfall are the main factors affecting the occurrence of landslides, and the high and very high landslide susceptibilities were primarily distributed in the Jinsha, Lancang, and Nujiang River Basins along the railway. The research results provide a scientific basis for the construction of the Ya'an-Linzhi section of the Sichuan-Tibet Railway within the region, as well as the disaster prevention and mitigation work during future safe operations.

The Optimal Cognitive Diagnostic Model (CDM) for the Grammar Section of MA Entrance Examination of State Universities for EFL Candidates

Abstract: One of the most innovative tools for researchers in order to improve the quality of education and assessment is the application of Cognitive Diagnostic Approaches (CDA) which is the result of the unification of cognitive psychology and educational measurement; unfortunately, they are scarcely utilized by (grammar) language education and assessment researchers (in Iran). Among the most important decisions to be made in the process of cognitive diagnostic assessment are determining the (sub-)skills required to respond correctly to each question as well as choosing an optimal cognitive diagnostic model. The present qualitative and quantitative study aims to develop a Q-matrix in order to identify such cognitive (sub-)skills, to determine the optimal cognitive-diagnostic model (CDM) for the grammar section of MA entrance examination for English majors, and to pinpoint mastery and non mastery states of the examinees who were 5000 MA entrance participants. The findings from the literature review, informants’ and experts’ evaluations, and think-aloud protocols in the Q-matrix development phase revealed that each MA examination grammar item taps into between two to four of the six attributes of verb tense, correct verb usage, idiomatic expressions, modifiers, agreement, and preposition. Evaluation of three alternative models [i.e. the Deterministic-Input, Noisy-And (DINA), Deterministic Input, Noisy-Or-gate (DINO), and Generalized DINA (GDINA)] from among the existing cognitive diagnostic models indicated that G-DINA was the best fit for the Grammar data. Considering the performance of master and non-master participants, the study concludes with suggestions, implications, and applications of the findings for highstakes language education and testing

The San Andreas Fault Paleoseismic Record at Elizabeth Lake: Why are There Fewer Surface‐Rupturing Earthquakes on the Mojave Section?

Abstract: The structural complexity of active faults and the stress release history along the fault system may exert control on the locus and extent of individual earthquake ruptures. Fault bends, in particular, are often invoked as a possible mechanism for terminating earthquake ruptures. However, there are few records available to examine how these factors may influence the along-fault recurrence of earthquakes. We present a new paleoearthquake chronology for the southern San Andreas fault at Elizabeth Lake and integrate this record with existing paleoearthquake records to examine how the timing and frequency of earthquakes vary through a major restraining bend. This restraining bend features a mature, throughgoing right-lateral strike-slip fault, two major fault intersections, proposed subsurface fault dip changes, and a >200 km long section of fault misaligned with the regional plate motion. The Frazier Mountain, Elizabeth Lake, Pallett Creek, Wrightwood, and Pitman Canyon paleoseismic sites are located on this relatively linear surface trace of the San Andreas fault between fault bends. Our paleoseismic investigations at Elizabeth Lake document 4–5 earthquakes, since ∼1100 C.E., similar to the number of earthquakes recorded at Pallett Creek. In contrast, the Frazier Mountain and Wrightwood sites each record 8–9 earthquakes during this same time period. Differences in earthquake frequency demonstrate that fewer earthquakes rupture the central portion of the restraining bend than occur near the fault bends and intersections. Furthermore, the similarity of earthquake records from the Bidart Fan paleoseismic site northwest of the restraining bend and the Frazier Mountain paleoseismic site suggests that the broad, 30° curve of the Big Bend section of the San Andreas fault exerts less influence on fault rupture behavior than the 3D geometry of the Mojave sections of the fault.

High-resolution palaeomagnetic results of Ethiopian trap series from Lima Limo section: implications for the Oligocene geomagnetic field behaviour and timing of volcanism

Abstract: We present high-resolution palaeomagnetic and rock magnetic results from 92 successive volcanic units on a 2 km tall Lima Limo (LL) section of the Oligocene Ethiopian flood basalts (OEFB). A total of 85 well-defined flow-mean characteristic remanent magnetization directions representing seven stable magnetic polarity zones with six transitional/excursional directions were determined. These results indicate the identification of four more polarity reversals than previous palaeomagnetic studies; the resulting magnetostratigraphy has, therefore, more polarity zonation. Comparison of this result with the most recently revised geomagnetic polarity time scale (GPTS, hereafter GPTS2016), by using available radiometric age data, could not find a unique correlation. Instead, it strongly suggests the recording of at least one very brief polarity chron or putative geomagnetic excursion. Our magnetostratigraphic interpretation infers that the relative timing between the OEFB eruptions and the Oi-2 global cooling estimated two possible scenarios: one where the lowermost reverse-polarity (R1) interval for the LL section is correlated to Chron C11r of GPTS2016, same as the interpretations of earlier studies, would make a causal linkage between the OEFB eruptions and the Oi-2 cooling less possible; and, the eruption timing estimated in another scenario correlating the R1 to Chron C12r might preserve the probability of its causal influence in the Oi-2 cooling. The resulting overall mean pole for the LL section of this study, 78.2° N in latitude and 213.0° E in longitude (A95 = 3.4°, N = 79), is closer to other co-eval palaeomagnetic poles from different regions and the reference pole of Africa. Our analysis of geomagnetic palaeosecular variation (PSV) shows that, compared to the Plio-Pleistocene, the Early Oligocene has higher degrees of PSV but its slightly weaker latitude dependence.

Study on Evaluation of Ecological EnvironmentQuality and Temporal-Spatial Evolutionof Danjiang River Basin (Henan Section)

Abstract: The Danjiang River Basin (Henan Section) is the water source of the Middle Route of the South-toNorth Water Transfer Project. Its ecological environment quality has received increasing attention. In this study, on the basis of the ecological environment of the study area, we constructed the evaluation index system from four aspects: ecological basis, ecological structure, ecological stress and ecological benefits. The variable fuzzy set model was improved by using the central point triangle whitening weight function and the relative difference function. The ecological environment quality of the Danjiang River Basin (Henan Section) in the past 20 years was evaluated, and the evolution patterns and causes of ecological environment quality were analyzed by combination with land use changing. And the results showed that the area with better ecological environment quality was significantly larger than the deterioration area. The area with poorer grade was decreased from 441.22 km2 in 1998 to 3.93 km2 in 2017, and its proportion was correspondingly decreased from 2.23% to 0.05%. The area with the ordinary grade was decreased from 4528.79 km2 in 1998 to 2636.47 km2 in 2017, and its proportion was correspondingly decreased from 53.67% to 31.24%; The moderately graded area was increased from 3132.7 km2 in 1998 to 5206.88 km2 in 2017, and its proportion was increased from 37.12% to 61.71%; the area with good grade was increased from 319.58 km2 in 1998 to 579.01 km2 in 2017, the area with the excellent grade of an evaluation rating was almost unchanged. Based on the evaluation results, the spatial correlation analysis of changes in habitat quality was further carried out. The autocorrelation index was 0.5122, which indicating that the changes in ecological environment quality in the study area has a strong spatial aggregation characteristics. Combined with the change in land use changing in the present study, we found that the human activities were the major factor causing the changes in ecological environment quality in the study area. These results can provide certain theoretical basis and *e-mail: 1727518378@qq.com DOI: 10.15244/pjoes/128110 ONLINE PUBLICATION DATE: 2021-02-10 Wang S.-D., et al. 2354

Reconciling an Early Nineteenth‐Century Rupture of the Alpine Fault at a Section End, Toaroha River, Westland, New Zealand

Abstract: The Alpine fault is a high slip-rate plate boundary fault that poses a significant seismic hazard to southern and central New Zealand. To date, the strongest paleoseismic evidence for the onshore southern and central sections indicates that the fault typically ruptures during very large (Mw≥7.7) to great “full-section” earthquakes. Three paleoseismic trenches excavated at the northeastern end of its central section at the Toaroha River (Staples site) provide new insights into its surface-rupture behavior. Paleoseismic ruptures in each trench have been dated using the best-ranked radiocarbon dating fractions, and stratigraphically and temporally correlated between each trench. The preferred timings of the four most recent earthquakes are 1813–1848, 1673–1792, 1250–1580, and ≥1084–1276 C.E. (95% confidence intervals using OxCal 4.4). These surface-rupture dates correlate well with reinterpreted timings of paleoearthquakes from previous trenches excavated nearby and with the timing of shaking-triggered turbidites in lakes along the central section of the Alpine fault. Results from these trenches indicate the most recent rupture event (MRE) in this area postdates the great 1717 C.E. Alpine fault rupture (the most recent full-section rupture of the southern and central sections). This MRE probably occurred within the early nineteenth century and is reconciled as either: (a) a “partial-section” rupture of the central section; (b) a northern section rupture that continued to the southwest; or (c) triggered slip from a Hope-Kelly fault rupture at the southwestern end of the Marlborough fault system (MFS). Although, no single scenario is currently favored, our results indicate that the behavior of the Alpine fault is more complex in the north, as the plate boundary transitions into the MFS. An important outcome is that sites or towns near fault intersections and section ends may experience strong ground motions more frequently due to locally shorter rupture recurrence intervals.

Expedition 382 methods

Abstract: This section provides an overview of operations, depth conventions, core handling, curatorial procedures, and analyses performed on the R/V JOIDES Resolution during International Ocean Discovery Program (IODP) Expedition 382. This information applies only to shipboard work described in the Expedition reports section of the Expedition 382 Proceedings of the International Ocean Discovery Program volume. Methods used by investigators for shore-based analyses of Expedition 382 data will be described in separate individual postcruise research publications.

A re-evaluation of Penicillium section Canescentia, including the description of five new species

Abstract: A survey of Penicillium in the fynbos biome from South Africa resulted in the isolation of 61 species of which 29 were found to be new. In this study we focus on Penicillium section Canescentia, providing a phylogenetic re-evaluation based on the analysis of partial beta-tubulin (BenA), calmodulin (CaM) and RNA polymerase II second largest subunit (RPB2) sequence data. Based on phylogenies we show that five fynbos species are new and several previously assigned synonyms of P. canescens and P. janczewskii should be considered as distinct species. As such, we provide descriptions for the five new species and introduce the new name P. elizabethiae for the illegitimate P. echinatum. We also update the accepted species list and synonymies of section Canescentia species and provide a review of extrolites produced by these species.

Deep Embeddings and Section Fusion Improve Music Segmentation

Abstract: Music segmentation algorithms identify the structure of a music recording by automatically dividing it into sections and determining which sections repeat and when. Since the desired granularity of the sections may vary by application, multi-level segmentation produces several levels of segmentation ordered by granularity from one section (the whole song) up to N unique sections, and has proven to be a challenging MIR task. In this work we propose a multi-level segmentation method that leverages deep audio embeddings learned via other tasks. Our approach builds on an existing multi-level segmentation algorithm, replacing manually engineered features with deep embeddings learned through audio classification problems where data are abundant. Additionally, we propose a novel section fusion algorithm that leverages the multi-level segmentation to consolidate short segments at each level in a way that is consistent with the segmentations at lower levels. Through a series of experiments we show that replacing handcrafted features with deep embeddings can lead to significant improvements in multilevel music segmentation performance, and that section fusion further improves the results by cleaning up spurious short sections. We compare our approach to two strong baselines and show that it yields state-of-the-art results.