Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Behavioral Intention to Use Digital Payment among Indian Youngsters

In the current study, we sought to construct an integrated model to identify various elements and evaluate the impact of these identified factors on customers’ behavioral intention to use or not use specific M-wallets for payment. To this end, we proposed and validated a conceptual model. In all, 600 questionnaires were distributed, and 482 responses were deemed usable. Structural equation modeling was used to demonstrate the stability of the proposed model and to test the research hypotheses. Perceived value, trust, compatibility, and social influence were all found to have a substantial influence on behavioral intention; however, consumers are less likely to use an M-wallet on the basis of perceived enjoyment. We also found that trust, followed by compatibility, has a stronger influence on customers’ behavioral intentions in the context of M-payments. This study only included six M-wallets and was restricted to a certain age group in a single city. Understanding the many characteristics of behavioral intention can help M-wallet providers gain consumer trust and increase the frequency with which consumers use M-wallets for M-payments. The findings suggest that M-wallet service providers should consider and manage all influencing elements as proactive strategies for M-wallet intention. This strategy can be used to create an M-wallet-user behavioral intention model that will assist enterprises/companies in managing the establishment of their users’ behavioral intentions.
Urinary Orosomucoid as a Potential Marker of Inflammation in Psoriasis Vulgaris

Background: Psoriasis vulgaris (PV) is a chronic proliferative inflammatory dermal disease. Orosomucoid (ORM) is an acute phase protein (APP) primarily formed in the liver. Novel research revealed urinary orosomucoid (uORM) as a more sensitive, noninvasive biomarker of inflammatory activation compared to serum ORM (se-ORM). Objective: To investigate the role of uORM as a surrogate marker for psoriasis and to correlate its urinary values with the PV severity. Patients and Methods: This was a case-control study, comprised 50 cases with confirmed diagnosis of psoriasis and control group included 50 healthy controls. The included cases were classified based on PASI score into; mild PV (≤10), moderate PV (>10 -<20) and severe PV (≥20). Morning urine samples were acquired from all cases and controls to measure urinary ORM. Results: The AUC for uORM A in differentiating cases from control was fair with the best detected cutoff point was 53.18 yielding sensitivity of 74% and specificity 58%, and for uORM A/creatinine in differentiating cases from control was fair with the best detected cutoff point was 0.293 yielding sensitivity of 70% and specificity 52%. There was a statistically significant higher median uORM A, uORM A/ creatinine among severe cases than mild and, moderate cases. Conclusions: A highly sensitive, inexpensive, and easily available noninvasive biomarker, uORM demonstrates itself ability to become a new inflammatory marker in PV offering further data on disease severity and progression.
The dynamic effects of sediment availability on the relationship between wind speed and dust concentration

Where sediment supply is unlimited, previous research suggests that a strong, positive relationship between wind speed and dust concentration exists at the event scale. This relationship can break down if sediment availability is limited or changes during an event. This paper explores the dynamic effects of sediment availability on the relationship between wind speed and dust concentration using data from nine high‐latitude dust events recorded in Iceland. Of these events, six showed a strong positive relationship between wind speed and dust concentration. For the remainder, the relationship breaks down periodically during the event due to changing surface moisture conditions and atmospheric humidity. Results suggest a need to understand how spatial and temporal changes in humidity, surface soil moisture, soil texture and threshold velocity interact and control sediment availability for dust emissions in all environments, including at high latitudes. Copyright © 2018 John Wiley & Sons, Ltd.
“I loved before, but now I love even more.” Qualitative study of posttraumatic growth as a consequence of severe COVID-19 experience in Slovak adults

Introduction The results indicate that post-traumatic growth does indeed occur after overcoming the severe form of COVID-19. It suggests that this posttraumatic growth most often occurred through a reassessment of priorities and an appreciation of life itself and loved ones. COVID-19 disease has been one of the most discussed and researched topics for several years, as it dramatically affects everyone’s daily life. Methods The qualitative study presented here focuses on health psychology, especially post-traumatic growth after overcoming a severe form of the COVID-19 disease. We worked with adult people who had either been treated in the intensive care unit or had been hospitalized with severe pneumonia. Results Thematic analysis was used to determine categories and subcategories. The study presented here contributes to knowledge about the COVID-19 experience by mapping a Slovakian sample of adult participants. Discussion The results obtained by Thematic analysis help us better understand how people experience the disease, especially those who have overcome a severe form of the disease and thus had a borderline experience when their lives were directly threatened, as well as their overall health.
Learning how to read children's books in the digital society: Book trailers as an educational tool in higher education

The new multimodal reading ecosystem currently contributes to the proposal of forms of mediation that take into account the hybridization of digital and analog paradigms. In this context, illustrated books intended for children can constitute an area of interest, since their discursive and aesthetic codes contribute to the development of multimodal reading strategies and to the positioning of the child reader before the information, at the same time that they generate pleasant reading and knowledge-building experiences. Accordingly, today’s publishing market requires a learning process from the mediator in order to develop the corresponding strategies with which to approach children’s books. Previous research has focused on the book trailer as a virtual epitext for the promotion of publications, and it has analyzed the identity of this tool to demonstrate its effectiveness in the promotion of reading. Along these lines, and with the purpose of verifying how this tool behaves in the introduction of future teachers to children’s books, an intervention is proposed that is based on the creation of book trailers. A total of 860 students from the Early Childhood and Primary Education teaching degree programs participated in the intervention. It included qualitative research that analyzed the documents/epitexts created by the students, written reflections within the framework of this project and the discourse collected a posteriori in interviews and discussion groups on the experience. The results reveal the potential that creating book trailers has for introducing teacher trainees to illustrated children’s books within the framework of the digital society.
Future Projections of Antarctic Ice Shelf Melting Based on CMIP5 Scenarios

Basal melting of Antarctic ice shelves is expected to increase during the twenty-first century as the ocean warms, which will have consequences for ice sheet stability and global sea level rise. Here we present future projections of Antarctic ice shelf melting using the Finite Element Sea Ice/Ice-Shelf Ocean Model (FESOM) forced with atmospheric output from models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). CMIP5 models are chosen based on their agreement with historical atmospheric reanalyses over the Southern Ocean; the best-performing models are ACCESS 1.0 and the CMIP5 multimodel mean. Their output is bias-corrected for the representative concentration pathway (RCP) 4.5 and 8.5 scenarios. During the twenty-first-century simulations, total ice shelf basal mass loss increases by between 41% and 129%. Every sector of Antarctica shows increased basal melting in every scenario, with the largest increases occurring in the Amundsen Sea. The main mechanism driving this melting is an increase in warm Circumpolar Deep Water on the Antarctic continental shelf. A reduction in wintertime sea ice formation simulated during the twenty-first century stratifies the water column, allowing a warm bottom layer to develop and intrude into ice shelf cavities. This effect may be overestimated in the Amundsen Sea because of a cold bias in the present-day simulation. Other consequences of weakened sea ice formation include freshening of High Salinity Shelf Water and warming of Antarctic Bottom Water. Furthermore, freshening around the Antarctic coast in our simulations causes the Antarctic Circumpolar Current to weaken and the Antarctic Coastal Current to strengthen.
Contextual HookFormer for Glacier Calving Front Segmentation

Position changes in glacier calving fronts are important indicators for evaluating the health of ice sheet outlet glaciers and changes in ice dynamics. However, manual delineation of calving fronts in remote sensing imagery is a time-consuming task, resulting in potential large costs. Deep-learning-based methods have made remarkable progress in automatically segmenting and delineating glacier calving fronts from remote sensing imagery. The relatively few remote sensing images and the limited geometric changes for glacier observations both reduce the diversity of the data and exacerbate the difficulty in accurate segmentation. Here we describe a novel automatic method for detecting glacier calving fronts in synthetic aperture radar (SAR) images, termed HookFormer. Our approach processes high-resolution (target) and low-resolution (context) inputs with a unified transformer architecture. The global–local tokens from the context and the target branches are integrated purely by the proposed cross-attention mechanism and cross-interaction module to complement and enhance each other. Moreover, we redesign the HookFormer architecture based on the convolutional neural network (CNN) model AMD-HookNet aiming to improve computational efficiency while achieving significant performance gains with only half of the model parameters/FLOPs. We conduct an in-depth analysis and make extensive comparisons based on the challenging glacier segmentation benchmark dataset CaFFe. As the first pure transformer approach, HookFormer sets a new state of the art with a mean distance error (MDE) of 353m to the ground truth, outperforming the baseline, Swin-Unet, and AMD-HookNet by 53%, 39%, and 19%, respectively.
Small for Gestational Age Newborns in French Guiana: The Importance of Health Insurance for Prevention

Objectives: Small for gestational age (SGA) newborns have a higher risk of poor outcomes. French Guiana (FG) is a territory in South America with poor living conditions. The objectives of this study were to describe risk factors associated with SGA newborns in FG.Methods: We used the birth cohort that compiles data from all pregnancies that ended in FG from 2013 to 2021. We analysed data of newborns born after 22 weeks of gestation and/or weighing more than 500 g and their mothers.Results: 67,962 newborns were included. SGA newborns represented 11.7% of all newborns. Lack of health insurance was associated with SGA newborns (p < 0.001) whereas no difference was found between different types of health insurance and the proportion of SGA newborns (p = 0.86). Mothers aged less than 20 years (aOR = 1.65 [1.55–1.77]), from Haiti (aOR = 1.24 [1.11–1.39]) or Guyana (aOR = 1.30 [1.01–1.68]) and lack of health insurance (aOR = 1.24 [1.10–1.40]) were associated with SGA newborns.Conclusion: Immigration and precariousness appear to be determinants of SGA newborns in FG. Other studies are needed to refine these results.
Applicability of the mechanics-based restoration : boundary conditions, fault network and comparison with a geometrical method

Structural restoration aims to recover rock paleo-geometries and to validate structural interpretations. The classical methods are based on geometric/kinematic assumptions and impose a style of deformation. Geomechanical methods, by integrating rock elastic behavior and fundamental mechanical conservation laws, aim to solve issues of classical methods. However several studies show that the geomechanical restoration lacks physical consistency in particular because of the boundary conditions. There are uncertainties on the choice of the elastic properties, and the meshing constraints limit this method to be used as a validation tool of structural interpretations. The choice of a specific restoration method is difficult because there are many geomechanical restoration approaches, in addition to the numerous geometric/kinematic methods. Firstly, this thesis presents a review of the various 3D geomechanical methods to unfold and unfault a 3D geological model. The objective is to present their, theoretical and practical, strengths and limits. Secondly, through the restoration of a structural sandbox model, we worked on the choice of adequate boundary conditions to get a proper restored model. This structural sandbox model was deformed in laboratory and presents several analogies with supra-salt extensional structures. Thanks to the observation of the analog model geometry through time on a cross section, we show that a lateral shortening boundary condition is necessary. We show that this shortening can be estimated by the area-depth method. Moreover we define new fault contact conditions to handle complex fault networks. These novel conditions tie internal fault borders and join parts of offset faults. Thirdly, the test of several elastic parameters shows that Young’s modulus, homogeneous within a geological model, has almost no effect on the restoration displacement field. However, Poisson’s ratio has a significant impact on the volume dilatation. Finally, we compare the mechanics-based restoration method with a geometric-based method relying on a chronostratigraphic model (GeoChron) mapping any point of the subsurface to its image in depositional (Wheeler) space. We show that both methods provide a geometrically similar restored state for the analog model. The geometric method has numerous advantages to quickly and accurately get a restored model, but it lacks flexibility on the choice of the deformation constraints. The geomechanical restoration method force is to define custom boundary conditions and specific mechanical behaviors to handle complex contexts
Shellfisheries, seabed habitats and interactions in Northumberland

A push for a more evidence based approach to management has resulted in the need for robust evidence of fisheries impacts (or lack thereof), including further research into fine-scale impacts of potting for which little evidence is available. The present work focusses on the inshore pot fishery in Northumberland, UK. Potting effort distribution maps a combination of fishing vessel sightings recorded during routine patrols and fishing effort by the Northumberland Inshore Fisheries and Conservation Authority (NIFCA) – showed changes in potting effort across large sections of the study area between years (2004 – 2014). Temporal changes in fishers’ habitat selection were investigated using recently collected habitat data. Space-time clustering suggested fishers were actively targeting habitats of interest. Compositional analysis of habitat, showed that fishers preferred rocky habitats over sediment habitats when using both EUNIS level 3 and 6 habitat maps. Information on habitat use and fishing pressure provided the basis for investigation of long-term impacts of parlour potting on epibenthos and habitat within the Berwickshire & North Northumberland Coast European Marine Site (BNNC EMS) through analysis of historical videographic monitoring data between 2002 – 2011. Analysis of biotope change between years (a method recommended for monitoring purposes) showed that at the scales investigated here, change had not occurred. Weaknesses of this analysis for the use in robust ecological research are discussed. A more detailed analysis of community composition and diversity change between years showed that there was little evidence of change. However, changes in species composition and richness of ‘Faunal and algal crusts on exposed to moderately wave-exposed circalittoral rock’ were observed between years, in most models and between fishing pressures. Finally, quantification of direct impacts through in-situ experimental fishing was investigated using a BACI design. The high experimental fishing intensity, in small experimental areas, coupled with high levels of sampling and replication, provided
Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methods

Previous studies have extensively investigated the effects of online word-of-mouth (eWOM) factors such as volume and valence on product sales. However, studies of the effect of eWOM factors on product prices are lacking. It is necessary to examine how various eWOM factors can either explain or affect product prices. The objective of this study is to suggest explanatory and predictive analytics using a regression analysis and ensemble-based machine learning methods for eWOM factors and hotels booking prices. This study utilizes publicly available data from a hotel booking site to build a sample of eWOM factors. The final study sample was comprised of 927 hotels. The important eWOM factors found to affect hotel prices are the review depth and the review rating, which are moderated by a number of reviews to affect prices. The effect of the number of positive words is moderated by the review helpfulness to affect the price. The review depth and rating, along with the number of reviews, should be considered in the design of hotel services, as these provide the rationale for adjusting the prices of various aspects of hotel services. Furthermore, the comparison results when applying various ensemble-based machine learning methods to predict prices using eWOM factors based on a 46-fold cross-validation partition method indicated that ensemble methods (bagging and boosting) based on decision trees outperformed ensemble methods based on k-nearest neighbor methods and neural networks. This shows that bagging and boosting methods are effective ways to improve the prediction performance outcomes when using decision trees. The explanatory and predictive analytics using eWOM factors for hotel booking prices offers a better understanding in terms of how the accommodation prices of hotel services can be explained and predicted by eWOM factors.
Prostate Cancer in the Thies Region, Senegal: Epidemiological, Diagnostic and Therapeutic Aspects

Introduction: Prostate cancer is the leading urological cancer. It is the most common cancer in men over 50. Objective: To determine the epidemiological, diagnostic and therapeutic characteristics of prostate cancer in hospitals in the Thiès region. Patients and Methods: We conducted a descriptive study from January 1 st , 2015 to December 31 st , 2020. We included all cases of primary prostate cancer confirmed on histology. Results: We collected data on 318 cases of primary prostate cancer during the study period. Mean patient age was 72.7 years (Range: 49; 94 years). Family history of prostate cancer was found in 22 patients (6.91%). The average consultation time was 18.6 months. The circumstances of discovery were dominated by obstructive voiding disorders (97.16%). Digital Rectal examination was suggestive in 55.40% of patients. PSA level was above 20 ng/ml in 76.7% of patients. Prostatic adenocarcinoma was the only histological type (100%). Localized cancer represented 7.2% and locally advanced cancer occurred in 36.5% of cases, while metastatic cancer accounted for 56.3%. Radical prostatectomy was performed in 3.18% of cases. Mortality rate was estimated at 8.50% after 1 year. Conclusion: Prostate cancer is the leading urological cancer in the Thies region. It is characterized by the predominance of locally advanced and metastatic forms.
STUDIES OF CARBON, OXYGEN AND STRONTIUM ISOTOPES IN TOOTH ENAMEL: EVALUATING PALEOENVIRONMENTAL CHANGE IN SOUTH AFRICA AND EXPANDING THE PALEOCLIMATE TOOL KIT

The past 5 million years mark a global change from the warmer, more stable climate of the Pliocene to the initiation of glacial-interglacial cycles during the Pleistocene. Marine core sediment records located off the coast of southwestern Africa indicate aridification and intensified upwelling in the Benguela Current over the Pliocene and Pleistocene. However, few terrestrial records document environmental change in southwestern Africa over this time interval. Here we synthesize new and published carbon and oxygen isotope data of the teeth from large mammals (>6 kg) at Langebaanweg (~5 million years ago, Ma), Elandsfontein (1.0 – 0.6 Ma), and Hoedjiespunt (0.35 – 0.20 Ma), to evaluate environmental change in southwestern Africa between the Pliocene and Pleistocene. The majority of browsing and grazing herbivores from these sites yield enamel δC values within the range expected for animals with a pure C3 diet, however some taxa have enamel δC values that suggest the presence of small amounts C4 grasses at times during the Pleistocene. Considering that significant amounts of C4 grasses require a warm growing season, these results indicate that the winter rainfall zone, characteristic of the region today, could have been in place for the past 5 million years. The average δO value of the herbivore teeth increases ~4.4‰ between Langebaanweg and Elandsfontein for all taxa except suids. This increase may solely be a function of a change in hydrology between the fluvial system at 11 Langebaanweg and the spring-fed environments at Elandsfontein, or a combination of factors that include depositional context, regional circulation and global climate. However, an increase in regional aridity or global cooling between the early Pliocene and mid-Pleistocene cannot explain the entire increase in enamel δO values. Spring-fed environments like those at Elandsfontein may have provided critical resources for mammalian fauna in the mid-Pleistocene within an increasingly arid southwestern Africa ecosystem.
Simulated relationship between air temperature and precipitation over Europe: sensitivity to the choice of RCM and GCM

This paper presents an evaluation of the relationship between near‐surface air temperature (T) and precipitation (P) over Europe simulated by regional climate models (RCMs) from the EURO‐CORDEX project. Simulations of two RCMs (RCA4 and CCLM4‐8‐17) driven by four different global climate models (GCMs) in the period 1971–2000 were analysed. Two different coefficients, the Pearson correlation coefficient based on monthly anomalies and the T‐P index (TPI) based on daily values, were used for this evaluation. First, the comparison of T‐P correlation and TPI patterns calculated from E‐OBS data was made. Afterwards, simulated T‐P relationship patterns were briefly evaluated. We especially focused on evaluating the RCM and GCM influence on the simulated T‐P relationship pattern. Our results indicate that RCM simulations captured the basic seasonal dependence of the T‐P relationship over Europe represented by both T‐P correlation and TPI patterns. The simulated T‐P relationship pattern is more strongly influenced by an RCM than a driving GCM in contrast to temperature means in winter and precipitation and temperatures changes, which are more strongly influenced by driving GCM as shown in previous studies. The simulations of the CCLM4‐8‐17 RCM demonstrated noticeably better agreement with observed T‐P relationship fields than the RCA4 RCM simulations. The T‐P relationship simulated by RCA4 tends to shift to positive values in comparison to E‐OBS values. These findings were found for both TPI and T‐P correlation.