Miracle-dz/UniFAR-FTUs huggingface dataset:
Archaeological evidence for vertical movement on the continental shelf during the Palaeolithic, Neolithic and Bronze Age periods

Abstract Submarine archaeological sites of human occupation on the continental shelf provide evidence of palaeo-shorelines during the last 50 000 years, with possibly longer periods of accessible data. Sites are widely distributed globally, and provide a rich source of peripheral information on landscapes, climate, water supply, sediment transport, and soil types, which are relevant to coastal tectonics and processes, in addition to location, elevation, and date. More than 500 sites have been discovered world-wide where there are the remains of human occupation under the sea. Artefacts embedded in a few metres of sediments can survive multiple marine transgression, given local topography that creates suitable wave and current conditions. The raw data have been analysed to separate glacial eustatic fluctuations of global sea level and local or regional tectonic processes. The number of sites in the Mediterranean permits the detection of regional vertical tectonic displacement with a spatial resolution of a few tens of kilometres in many regions. In other parts of the world the density of sites is not yet sufficient to achieve this, but indicators of vertical movements, or lack of vertical movement, provide valuable point data. Continuing discovery of new sites indicates that the technique will provide data with improved spatial resolution, and outside the Americas, over a timescale extending to hundreds of millennia, and possibly one million years
Seasonal Forecasts of the Pan-Arctic Sea Ice Extent Using a GCM-Based Seasonal Prediction System

AbstractAn ocean–sea ice model reconstruction spanning the period 1990–2009 is used to initialize ensemble seasonal forecasts with the Centre National de Recherches Meteorologiques Coupled Global Climate Model version 5.1 (CNRM-CM5.1) coupled atmosphere–ocean general circulation model. The aim of this study is to assess the skill of fully initialized September and March pan-Arctic sea ice forecasts in terms of climatology and interannual anomalies. The predictions are initialized using “full field initialization” of each component of the system. In spite of a drift due to radiative biases in the coupled model during the melt season, the full initialization of the sea ice cover on 1 May leads to skillful forecasts of the September sea ice extent (SIE) anomalies. The skill of the prediction is also significantly high when considering anomalies of the SIE relative to the long-term linear trend. It confirms that the anomaly of spring sea ice cover in itself plays a role in preconditioning a September SIE anom.
Immunohistochemical Evidence Linking Interleukin-22 Tissue Expression Levels to FOXP3+ Cells and Neutrophil Densities in the Mycosis Fungoides Microenvironment

Background: Emerging data indicate that the cellular microenvironment and interleukins (IL) play a crucial role in mycosis fungoides (MF). We aimed to explore the potential association between the composition of the cellular microenvironment and the expression of IL-22 and IL-17A in MF skin lesions. Methods: The study encompassed 16 cases of MF of different stages, for which sufficient skin tissue for immunohistochemistry and frozen tissue for reverse transcription-polymerase chain reaction, both taken from the same lesion, were available. Histological evaluation of eosinophils, neutrophils, CD20+, CD4+, CD8+, FOXP3+, CD56+, and CD1a+ cells was conducted. Additionally, mRNA expression levels of IL-22 and IL-17 mRNA were quantified using reverse transcription-quantitative polymerase chain reaction. SPSS version 28 (IBM Corp., Armonk, NY) was utilized for statistical analysis. Results: Among the cases examined, three were in the patch stage, eight in the plaque stage, and five in the transformation to high-grade large cell lymphoma (t-LCL). B-lymphocytes, neutrophils, and eosinophils were primarily observed in t-LCL cases. IL-22 levels displayed a significant association with IL-17A levels (Pearson’s r = 0.961, p < 0.001), FOXP3+ cells (Pearson’s r = 0.851, p < 0.001), and neutrophil density (Pearson’s r = 0.586, p = 0.014). No correlation was detected between IL-17A levels and the evaluated subtypes of microenvironmental cells. Conclusion: The microenvironment of MF lesions with t-LCL is noticeably different from early MF in terms of cellular composition. Histopathological identification of the cellular microenvironment may serve as an indicator of IL-22 tissue levels. These results implicate certain types of cells in IL-22 expression in the MF microenvironment and may contribute to advancing our knowledge on the pathogenesis and progression of the disease.
Tectonosedimentary evolution of the deep Iberia‐Newfoundland margins: Evidence for a complex breakup history

Most of the conceptual ideas concerning sedimentary architecture and tectonic evolution of deep rifted margins are based on either intracontinental rift basins or proximal margins, both of which underwent only small amounts of crustal thinning. In this paper, we investigate the tectonosedimentary and morphotectonic evolution related to continental breakup of the highly extended, deep Iberia‐Newfoundland margins. Our results show that continental breakup is a complex process distributed in time and space. On the basis of mapping of dated seismic units and borehole data we are able to identify two major phases of extension. During a first phase, dated as Tithonian to Barremian (145–128 Ma), deformation is related to exhumation of mantle rocks; basins become younger oceanward, and fault geometry changes from upward to downward concave resulting in complex sedimentary structures and basin geometries. A second phase, dated as latest Aptian (112 Ma), overprints previously exhumed mantle and accreted juvenile oceanic crust over more than 200 km leading to the formation of basement highs. The observed complex breakup history challenges classical concepts of rifting and leads to new interpretations for the tectonosedimentary evolution of deep rifted margins.
Improving model performance for invasive plant species distribution using global-scale presence-only data: parameterization and data quality

Yu, Feng. M.S., Purdue University, December 2013. Improving Model Performance for Invasive Plant Species Distribution using Global-Scale Presence-Only Data: Parameterization and Data Quality. Major Professor: Songlin Fei. Invasive species have significant ecological and economic impacts. To control species’ invasion, risk assessment provides the most essential information for identification and evaluation of the potential risk of the invasive species, especially in their early invasion stages. Species distribution models (SDMs) is the foundation for risk assessment, in terms of both the practical and theoretical interest in our understanding of species invasion process. SDMs contribute to the proactive invasion management and the test of ecological or biogeographical hypotheses about species distributions in relation to their environment. However, modeling of invasive species at large spatial scale (i.e., crosscontinental) is rarely discussed. Besides, sampling bias of the presence-only occurrence data can seriously reduce the performance of SDMs, but no quantitative method is available to assess data quality. In my thesis, I used MaxEnt to build bioclimatic envelope models for 39 high-risk invasive plant species and predicted their potential invasion ranges in the U.S., based on their
Variability on the California shelf forced by local and remote winds during the Coastal Ocean Dynamics Experiment

The coastal response to local and remote wind forcing is examined using observations from the Coastal Dynamics Experiment (CODE) which took place on the northern California coast during 1981 and 1982. The responses to local and remote forcing are determined from multivariate statistical cross-spectral analysis covering periods from 12 to 2.5 days. Remote forcing is deduced from coastal sea level. This analysis leads to discovery of a mode of sea level variability, apparently a barotropic Kelvin wave, with much greater alongshore and across-shelf scales than those of coastally trapped waves; there is no measurable response to this mode in coastal temperature or velocity. Coastally trapped waves are also evident and have responses over the shelf much as predicted by theories which account for bottom friction. The local response to wind differs markedly from coastally trapped waves, showing the across-shelf flow responsible for upwelling, surface-intensified temperature fluctuations caused by advection and mixing and even the alongshore pressure gradient partly responsible for the across-shelf return flow which, on the largest scale, balances Ekman transport. Unfortunately, even the extensive CODE observations are inadequate to diagnose the dynamics of the across-shelf flow or accurately determine the cross-shelf heat flux supported by eddies and the fluctuating responses to local wind forcing.
Molecular basis for cellular retinoic acid-binding protein 1 in modulating CaMKII activation

Introduction: Cellular retinoic acid (RA)-binding protein 1 (CRABP1) is a highly conserved protein comprised of an anti-parallel, beta-barrel, and a helix-turn-helix segment outside this barrel. Functionally, CRABP1 is thought to bind and sequester cytosolic RA. Recently, CRABP1 has been established as a major mediator of rapid, non-genomic activity of RA in the cytosol, referred to as “non-canonical” activity. Previously, we have reported that CRABP1 interacts with and dampens the activation of calcium-calmodulin (Ca2+-CaM)-dependent kinase 2 (CaMKII), a major effector of Ca2+ signaling. Through biophysical, molecular, and cellular assays, we, herein, elucidate the molecular and structural mechanisms underlying the action of CRABP1 in dampening CaMKII activation. Results: We identify an interaction surface on CRABP1 for CaMKII binding, located on the beta-sheet surface of the barrel, and an allosteric region within the helix segment outside the barrel, where both are important for interacting with CaMKII. Molecular studies reveal that CRABP1 preferentially associates with the inactive form of CaMKII, thereby dampening CaMKII activation. Alanine mutagenesis of residues implicated in the CaMKII interaction results in either a loss of this preference or a shift of CRABP1 from associating with the inactive CaMKII to associating with the active CaMKII, which corresponds to changes in CRABP1’s effect in modulating CaMKII activation. Conclusions: This is the first study to elucidate the molecular and structural basis for CRABP1’s function in modulating CaMKII activation. These results further shed insights into CRABP1’s functional involvement in multiple signaling pathways, as well as its extremely high sequence conservation across species and over evolution.
Inventing Canada: Early Victorian Science and the Idea of a Transcontinental Nation

"The Carleton Library Series" makes available once again "Inventing Canada", Suzanne Zeller's classic history of science, land, and nation in Victorian Canada. Zeller argues that the middle decades of the nineteenth century that saw the British North American colonies attempting to establish a transcontinental nation also witnessed the rise of an analytical tradition in science that challenged older conceptions of humanity's relationship with nature and the land. Zeller taps a wide range of archival and published sources to document the prominent place of Victorian science in British North American thought and society. Her focus on the creative functions of Victorian geological, geophysical, and botanical sciences highlights the formation of a Canadian community of scientists, politicians, educators, journalists, businessmen, and others who promoted public support of scientific activities and institutions. By moving beyond the eighteenth-century mechanical ideals that had forged the United States, they reassessed the land and its possibilities to redefine the transcontinental future of a northern variant of the British nation. "Inventing Canada" is a must-read for anyone interested in the scientific background of Canada's history, including its environmental history.
Editorial: Diagnostic accuracy of sepsis: clinical scores combination and serum biomarkers for rapid diagnosis and prognosis

COPYRIGHT © 2023 Spoto, Bustos and Angeletti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Diagnostic accuracy of sepsis: clinical scores combination and serum biomarkers for rapid diagnosis and prognosis
Gravitational viscoelastic postseismic relaxation on a layered spherical Earth

Viscoelastic relaxation of a ductile asthenosphere underlying a purely elastic plate is a strong candidate process for explaining anomalous rates of crustal deformation observed following large earthquakes. The nongravitational treatment of Pollitz [1992], which is valid on a global scale and includes the effects of compressibility, is here extended to permit the calculation of gravitational viscoelastic relaxation for a specified spherically layered viscoelastic rheology following an earthquake in an elastic layer. The simple approximations we adopt make the resulting treatment particularly suitable for near-field calculations. For an asthenosphere with a Maxwell rheology, the effect of gravitational coupling is manifested only many relaxation times after the earthquake, as obtained by previous investigators. Its effect is generally to speed up the long-wavelength component of the relaxation process and attenuate the overall vertical displacement pattern. Several subtle features common to the relaxation behavior from several different fault types (thrust, rift, and strike-slip) are identified. The effect of gravitational coupling on horizontal displacements is consistent with flexure of the upper elastic plate driven by the corresponding effects on the vertical displacement. Stress diffusion away from the source region generally exhibits pulse-like behavior which is dispersive in both space and time. If the asthenosphere is confined to a relatively narrow channel, then the dispersion branches governing relaxation are radically altered, and stress diffusion effects far from the coseismic rupture zone exhibit a complicated time dependence reflecting the competing tendencies of toroidal and spheroidal mode relaxation.
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection

Cancer is one of the leading significant causes of illness and chronic disease worldwide. Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising prevalence. The considerable death rate linked with melanoma requires early detection to receive immediate and successful treatment. Lesion detection and classification are more challenging due to many forms of artifacts such as hairs, noise, and irregularity of lesion shape, color, irrelevant features, and textures. In this work, we proposed a deep-learning architecture for classifying multiclass skin cancer and melanoma detection. The proposed architecture consists of four core steps: image preprocessing, feature extraction and fusion, feature selection, and classification. A novel contrast enhancement technique is proposed based on the image luminance information. After that, two pre-trained deep models, DarkNet-53 and DensNet-201, are modified in terms of a residual block at the end and trained through transfer learning. In the learning process, the Genetic algorithm is applied to select hyperparameters. The resultant features are fused using a two-step approach named serial-harmonic mean. This step increases the accuracy of the correct classification, but some irrelevant information is also observed. Therefore, an algorithm is developed to select the best features called marine predator optimization (MPA) controlled Reyni Entropy. The selected features are finally classified using machine learning classifiers for the final classification. Two datasets, ISIC2018 and ISIC2019, have been selected for the experimental process. On these datasets, the obtained maximum accuracy of 85.4% and 98.80%, respectively. To prove the effectiveness of the proposed methods, a detailed comparison is conducted with several recent techniques and shows the proposed framework outperforms.
River density and landscape roughness are universal determinants of linguistic diversity

Global linguistic diversity (LD) displays highly heterogeneous distribution patterns. Though the origin of the latter is not yet fully understood, remarkable parallelisms with biodiversity distribution suggest that environmental variables should play an essential role in their emergence. In an effort to construct a broad framework to explain world LD and to systematize the available data, we have investigated the significance of 14 variables: landscape roughness, altitude, river density, distance to lakes, seasonal maximum, average and minimum temperature, precipitation and vegetation, and population density. Landscape roughness and river density are the only two variables that universally affect LD. Overall, the considered set accounts for up to 80% of African LD, a figure that decreases for the joint Asia, Australia and the Pacific (69%), Europe (56%) and the Americas (53%). Differences among those regions can be traced down to a few variables that permit an interpretation of their current states of LD. Our processed datasets can be applied to the analysis of correlations in other similar heterogeneous patterns with a broad spatial distribution, the clearest example being biological diversity. The statistical method we have used can be understood as a tool for cross-comparison among geographical regions, including the prediction of spatial diversity in alternative scenarios or in changing environments.
Breastfeeding Apps: A Descriptive Report

Background: Women are increasingly using breastfeeding apps to facilitate and organize breastfeeding; however, no study has so far focused on maternal psychopathological risk and on the quality of dyadic exchanges in this field. Aim and Methods: This preliminary, descriptive study aimed at evaluating levels of psychopathological symptoms (through the SCL-90/R) and for the quality of the interactions they have with their children during feeding (through the SVIA) in mothers who use breastfeeding apps with different grades of engagement. Results: Data analyses showed that mothers with a mild use of the apps present a higher quality of dyadic interactions during feeding and lower psychopathological risk. Conclusions: The cross-sectional and descriptive nature of this study does not allow any causal conclusions. However, results suggest that the higher the engagement and use of breastfeeding apps, the lower the quality of feeding interactions and the higher the maternal psychopathological risk.
Rubble Mounds: Hydraulic Conductivity Equation

Experimental investigations were undertaken to develop a generalized hydraulic conductivity equation for rubble mounds. The generalized equation takes into account the inertial force due to the unsteadiness of the flow and the effect of entrained air. Two‐phase flow models are used to analyze the air/water flow. A modified Morrison‐type equation for the unsteady flow forces is presented. The generalized hydraulic conductivity equation is developed for a wide range of Reynolds numbers. The objective of this study was to provide a generalized equation for modeling wave motion in rubble‐mound structures, and an outline of the computations required is given.
The influence of managerial competence on the relationship between cost accounting systems and financial performance: A quantitative study of social welfare organizations

This study was conducted to examine how the abilities of business managers affect the relationship between cost accounting systems and financial performance. The data has been obtained from social welfare organizations. Multiple regression analysis without an interaction term was first conducted as the base model followed by hierarchical multiple regression analysis to verify the increase in explanatory power by adding an interaction term. All independent variables, adjustment variables and control variables except dummy variables were centralized to facilitate the interpretation of the interaction term. A regression diagnosis was conducted after the exclusion of outliers. The statistical analysis environment R was used for the analysis. The findings of the study suggest that among the four functionalities of cost accounting systems, detailed cost ascertainment and reporting frequency may affect organizational performance through interactions with the abilities of business managers. This study may be viewed as a first step in examining the effects of the interaction between the functionality of cost accounting systems and the abilities of business managers on the financial performance of organizations.
Rates of deformation of an extensional growth fault/raft system (offshore Congo, West African margin) from combined accommodation measurements and 3‐D restoration

The aim of this paper is to quantify the evolution in time and space of the accommodation (space available for sedimentation) in the case of a growth fault structure resulting from gravity‐induced extension comprising a listric fault/raft system located along the West African margin. To achieve this, use was made of an original approach combining two complementary techniques (accommodation variation measurements and 3‐D restoration) in order to quantify vertical and horizontal displacement related to deformation, using a data set made up of a 3‐D seismic survey and well logs. We applied sequence stratigraphic principles to (i) define a detailed stratigraphic framework for the Albo‐Cenomanian and (ii) measure subsidence rates from accommodation variations. 3‐D restoration was used to (iii) reconstruct the evolution of the 3‐D geometry of the fault system. The rates of horizontal displacement of structural units were measured and linked to successive stages in the growth of the fault system.
Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity

Visual stimuli are represented by a highly efficient code in the primary visual cortex, but the development of this code is still unclear. Two distinct factors control coding efficiency: Representational efficiency, which is determined by neuronal tuning diversity, and metabolic efficiency, which is influenced by neuronal gain. How these determinants of coding efficiency are shaped during development, supported by excitatory and inhibitory plasticity, is only partially understood. We investigate a fully plastic spiking network of the primary visual cortex, building on phenomenological plasticity rules. Our results suggest that inhibitory plasticity is key to the emergence of tuning diversity and accurate input encoding. We show that inhibitory feedback (random and specific) increases the metabolic efficiency by implementing a gain control mechanism. Interestingly, this led to the spontaneous emergence of contrast-invariant tuning curves. Our findings highlight that (1) interneuron plasticity is key to the development of tuning diversity and (2) that efficient sensory representations are an emergent property of the resulting network.