Miracle-dz/UniFAR-FTUs huggingface dataset:
THE STRUCTURE OF THE NATURALISTE PLATEAU AND TROUGH

The Naturaliste Plateau is a broad, relatively flat feature lying at a depth below sea level of around 2500 m off the continental margin of southwest Australia. A northerly trending trough with water depths of 3000 to 4000 m separates the Plateau from the continental shelf. Reflection seismic profiles over the Plateau reveal 500 to 1000 m thicknesses of post-Neocomian sediments on the Plateau and up to 2000 m thicknesses in the Trough. An erosional unconformity which is thought to be of Neocomian age separates folded, faulted sediments and intruded metamorphic and igneous basement from the overlying sediments. Deep sea drilling has shown the upper section as being composed of deep-sea clays and oozes. Several hiatuses occur in this upper section. Magnetic anomalies over the Plateau are intense and have magnitudes of up to 850 nT. The anomalies are much more subdued over the Trough. Depths to the bodies causing the magnetic anomalies are estimated to be between zero and three km below the Neocomian unconformity. The gravity field over the Plateau indicates that the crust is of intermediate thickness. A phase of rifting in the Early Cretaceous gave rise to a gently sloping northern margin, whereas rifting in the Eocene produced a steep, faulted, southern margin. The Plateau appears to have been at its present depths since the Early Cretaceous. Prospectivity for petroleum over the Plateau and Trough is poor.
e-VITA study protocol: EU-Japan virtual coach for smart aging

Aim The aim of this study is to report a trial protocol for assessing the improvement of older adults’ well-being, promoting active and healthy aging, and reducing the risks of social exclusion, using a virtual coach. Background Increased longevity brings with it reduced autonomy and independence, and it is therefore necessary to act with preventive measures that can promote active and healthy aging. With the development of technology, new tools have appeared, including virtual coaches, which can enable people to lead a healthy lifestyle by identifying individual needs and goals and providing personalized recommendations and advice. However, it is important that these coaches take into consideration the inter-individual and cross-cultural differences of each person. Design A randomized controlled trial is proposed. Methods This study will recruit 240 healthy subjects aged 65 years and older. Participants will be assigned to an experimental group that will receive the e-VITA system or to the control group that will receive an information booklet only. The primary outcome measure is the person's quality of life (QoL). Data will be collected at baseline, 3 months after the trial, and at the end of the trial, after 6 months. Discussion This study will evaluate the effectiveness of the e-VITA system, consisting of a virtual coach, several sensors for monitoring, a smartphone for use at home, and a booklet, in improving the older person's quality of life. The increased perceived well-being will also be linked to improvements in other areas of the person's life, psychological and cognitive status, the area of sociality, nutrition, and eHealth literacy.
Ethyl Cellulose-Core, OSA Starch-Shell Electrosprayed Microcapsules Enhance the Oxidative Stability of Loaded Fish Oil

The encapsulation and the oxidative stability of cod liver fish oil (CLO) within coaxial electrosprayed (ethyl cellulose/CLO) core–(octenyl succinic anhydride, OSA-modified starch) shell, and monoaxial electrosprayed ethyl cellulose/CLO microcapsules were investigated. Core–shell (H-ECLO) and monoaxial (ECLO) electrosprayed microcapsules with an average diameter of 2.8 ± 1.8 µm, and 2.2 ± 1.4 µm, respectively, were produced. Confocal microscopy confirmed not only the core–shell structure of the H-ECLO microcapsules, but also the location of the CLO in the core. However, for the ECLO microcapsules, the CLO was distributed on the microcapsules’ surface, as also confirmed by Raman spectroscopy. Atomic force microscopy showed that the average surface adhesion of the H-ECLO microcapsules was significantly lower (5.41 ± 0.31 nN) than ECLO microcapsules (18.18 ± 1.07 nN), while the H-ECLO microcapsules showed a remarkably higher Young’s modulus (33.84 ± 4.36 MPa) than the ECLO microcapsules (6.64 ± 0.84 MPa). Differential scanning calorimetry results confirmed that the H-ECLO microcapsules enhanced the oxidative stability of encapsulated CLO by about 15 times, in comparison to non-encapsulated oil, mainly by preventing the presence of the fish oil at the surface of the microcapsules, while ECLO microcapsules enhanced the oxidative stability of CLO about 2.9 times due to the hydrophobic interactions of the oil and ethyl cellulose. Furthermore, the finite element method was also used to evaluate the electric field strength distribution, which was substantially higher in the vicinity of the collector and lower in the proximity of the nozzle when the coaxial electrospray process was employed in comparison to the monoaxial process.
Climate controls on coupled processes of chemical weathering, bioturbation, and sediment transport across hillslopes

Most hillslope studies examining the interplay between climate and earth surface processes tend to be biased towards eroding parts of landscapes. This limitation makes it difficult to assess how entire upland landscapes, which are mosaics of eroding and depositional areas, evolve physio‐chemically as a function of climate. Here we combine new soil geochemical data and published 10Be‐derived soil production rates to estimate variations in chemical weathering across two eroding‐to‐depositional hillslopes spanning a climate gradient in southeastern Australia. At the warmer and wetter Nunnock River (NR) site, rates of total soil (–3 to –14 g m‐2 yr‐1; negative sign indicates mass loss) and saprolite (–18 to –32 g m‐2 yr‐1) chemical weathering are uniform across the hillslope transect. Alternatively, the drier hillslope at Frog's Hollow (FH) is characterized by contrasting weathering patterns in eroding soils (–30 to –53 g m‐2 yr‐1) vs. depositional soils (+91 g m‐2 yr‐1; positive sign indicates mass addition). This difference partly reflects mineral grain size sorting as a result of upslope bioturbation coupled with water‐driven soil erosion, as well as greater vegetative productivity in moister depositional soils. Both of these processes are magnified in the drier climate. The data reveal the importance of linking the erosion–deposition continuum in hillslope weathering studies in order to fully capture the coupled roles of biota and erosion in driving the physical and chemical evolution of hillslopes. Our findings also highlight the potential limitations of applying current weathering models to landscapes where particle‐sorting erosion processes are active. Copyright © 2018 John Wiley & Sons, Ltd.
International Journal of Management Sciences and Business Research, Mar-2021 ISSN (2226-8235) Vol-10, Issue 3

The recent upsurge in internet usage has resulted in the diversification of marketing strategies into the use of social media. This has encouraged general trading (domestic and foreign). However, concerns are now channeled to the growth and developmental impact of the general use of social media and particularly in marketing across the globe and Sub-Saharan Africa (SSA) especially. Hence, this study investigated the impact of the use of social media marketing on economic development in SSA. The study used a Generalized Method of Moment method of estimation on panel data on fifteen (15) countries over the period 2014-2019. Outcomes revealed that social media marketing substantially increases economic development. Fixed broadband subscriptions were also found to have a substantial developmental impact and education captured by gross tertiary enrollment significantly impacted development. We, therefore, recommend the increase in the availability of the internet and encourage the usage of social media for marketing.
The Top‐Down Solidification of Iron Asteroids Driving Dynamo Evolution

The cores of some small planetesimals, such as asteroid (16) Psyche, are thought to have been exposed through collisions during the early solar system that removed their mantles. These small bodies likely solidified from the top down representing a fundamentally different solidification regime to that of Earth's core. Here we derive simplified models of the downward solidification of the metallic crust and consider thermal convection and the potential for viscous delamination of the weak, warm base of the crust to provide a buoyancy flux sufficient to drive a dynamo. Thermal buoyancy is very short lived (∼1,000 years) and therefore cannot be the source of measured paleomagnetic remanence. In contrast, viscous delamination is found to provide a long‐lasting buoyancy flux sufficient to generate an intense, multipolar magnetic field, while not greatly affecting the crustal solidification time. Our results suggest that a Psyche‐sized (150‐km radius) body solidified in roughly 6.7–20 Myr and that delamination produced a strong magnetic field over much of this time. Finally, including light, insoluble impurities, such as sulfur, results in a partially solid mushy zone at the base of the crust. This further weakens the base of the crust and results in smaller‐scale delamination events. Despite a significant change in the dynamics of delamination, the time to total solidification and the predicted properties of the magnetic field are broadly comparable to the sulfur‐free case, though we argue this may result in observable compositional stratification of the body.
Using the Technology Acceptance Model to Understand Attitudes about Smartphone Translators for EFL Writing

This quantitative case study used the technology acceptance model (TAM), which was developed by Venkatesh and Davis (2000), to comprehend student attitudes related to the use of smartphone translators in the English as a foreign language (EFL) writing classroom. The study surveyed 194 undergraduate students enrolled in a required EFL writing course. The study utilized a factor reduction to group the variables into the TAM model. Standard multiple regressions were then performed on each of the three stages of the TAM. First, it was found that subjective norm (SN), voluntariness (V) and output quality (OQ) had a positive statistically significant effect on the students’ perceived usefulness (PU). Two factors did not display a statistical effect on the model: results demonstrability (RD) and the students’ perceived ease of use (EoU). In the second phase of the model, EoU and PU both had a positive statistically significant effect on the students’ intention to use (IU). However, SN did not have a statistical effect on IU as predicted in the model. The final standardized regression found that IU had a positive statistically significant effect on the students’ usage behavior (UB). The overall results indicated that the more positive a student’s SN, V, OQ, PU, and IU, the more likely the student will be to apply smartphone translators to their arsenal of mechanisms to study English. Teachers should consider including the smartphone translator in their technology toolbox in the EFL writing classroom.
Simulated Interannual Teleconnection Between the Summer North Atlantic Oscillation and Summer Precipitation in Eastern China During the Last Millennium

The interannual teleconnections between the summer North Atlantic Oscillation and summer precipitation in eastern China over the last millennium are investigated in a 1,000‐year simulation by the global climate model Community Climate System Model version 2.0. 1. The model was able to roughly produce the general features of the teleconnection influences in eastern China, with negative (positive) precipitation anomalies north of 30°N and positive (negative) precipitation anomalies south of 30°N, associated with the positive (negative) phase of the North Atlantic Oscillation. The composite analysis reveals that the influence of the North Atlantic Oscillation on precipitation in summer in eastern China is chiefly via the “North Atlantic‐Eurasian teleconnection pattern,” which extends from the subtropical North Atlantic to East Asia.
A Hybrid Model for Annual Runoff Time Series Forecasting Using Elman Neural Network with Ensemble Empirical Mode Decomposition

Because of the complex nonstationary and nonlinear characteristics of annual runoff time series, it is difficult to achieve good prediction accuracy. In this paper, ensemble empirical mode decomposition (EEMD) coupled with Elman neural network (ENN)—namely the EEMD-ENN model—is proposed to reduce the difficulty of modeling and to improve prediction accuracy. The annual runoff time series from four hydrological stations in the lower reaches of the four main rivers in the Dongting Lake basin, and one at the outlet of the lake, are used as a case study to test this new hybrid model. First, the nonstationary and nonlinear original annual runoff time series are decomposed to several relatively stable intrinsic mode functions (IMFs) by using EEMD. Then, each IMF is predicted by using ENN. Next, the predicted results of each IMF are aggregated as the final prediction results for the original annual runoff time series. Finally, five statistical indices are adopted to measure the performance of the proposed hybrid model compared with a back propagation (BP) neural network, EEMD-BP, and ENN models—mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE), Pearson correlation coefficient (R) and Nash–Sutcliffe coefficient of efficiency (NSCE). The performance comparison results show that the proposed hybrid model performs better than the BP, EEMD-BP or ENN models. In short, the developed hybrid model can provide a significant improvement in annual runoff time series forecasting.
Increased malondialdehyde and nitric oxide formation, lowered total radical trapping capacity coupled with psychological stressors largely predict the phenome of first-episode mild depression in undergraduate students

Undergraduate students are frequently afflicted by major depressive disorder (MDD). Oxidative and nitrosative stress (O&NS) has been implicated in the pathophysiology of MDD. There is no information regarding whether mild outpatient MDD (SDMD) and first episode SDMD (FE-SDMD) are accompanied by O&NS. The current study compared lipid hydroperoxides (LOOH), malondialdehyde (MDA), advanced protein oxidation products, nitric oxide metabolites (NOx), thiol groups, plasma total antioxidant potential (TRAP), and paraoxonase 1 activities among SDMD and FE-SDMD patients versus healthy controls. We found that SDMD and FE-SDMD exhibit elevated MDA and NOx, and decreased TRAP and LOOH as compared with controls. There was a significant and positive correlation between O&NS biomarkers and adverse childhood experiences (ACEs), and negative life events (NLEs). O&NS pathways, NLEs and ACEs accounted for 51.7% of the variance in the phenome of depression, and O&NS and NLS explained 42.9% of the variance in brooding. Overall, these results indicate that SDMD and FE-SDMD are characterized by reduced total antioxidant defenses and increased aldehyde and NOx production. The combined effects of oxidative and psychological stressors substantially predict the manifestation of SDMD. The differences with multi-episode MDD are attributed to specific effects of recurrence of illness and staging of illness.
Machine Learning in Acute Stroke Care: A Novel Model for Assessing the Need for Enteral Nutrition

Aim: Early enteral nutrition is often recommended for patients with acute stroke who have difficulty with oral intake. This study aimed to develop a predictive model to assess the need for enteral nutrition in older patients with acute cerebrovascular disorders. The model employs a machine learning algorithm using observational parameters related to swallowing ability. Methods: Ninety patients experiencing a cerebrovascular accident for the first time were included in this study. Swallowing function was assessed using the Food Intake LEVEL Scale. Nine specific variables were used to create a model for determining the need for enteral nutrition. Initially, variable selection was conducted through correlation analysis. Subsequently, the data were randomly divided into training and test groups. Five machine learning methods were applied to identify the most effective algorithm: logistic regression, decision tree, random forest, support vector machine, and XG Boost. Results: Through correlation analysis, we identified the independent variables Functional Independence Measure, motor and cognitive scores and speech intelligibility. The logistic regression model demonstrated high performance (accuracy, 0.82; area under the curve, 0.82). Conclusion: We demonstrated that a predictive model, employing machine learning and integrating Functional Independence Measure motor and cognitive scores and speech intelligibility, exhibits superior predictive efficacy and ascertains the necessity for enteral nutrition. This model can be expediently appraised even by individuals not specialized in dysphagia. Additionally, it is applicable to patients who are incapable of adhering to conventional swallowing assessment protocols owing to compromised consciousness or cognitive impairments, or those with an exceptionally elevated risk of aspiration.
(Re-)modelling of the disease and mortality burden of the 1918-1920 influenza pandemic in Zurich, Switzerland

Background: Our study aims to enhance future pandemic preparedness by integrating lessons from historical pandemics, focusing on the multidimensional analysis of past outbreaks. It addresses the gap in existing modelling studies by combining various pandemic parameters in a comprehensive setting. Using Zurich as a case study, we seek a deeper understanding of pandemic dynamics to inform future scenarios. Data and methods: We use newly digitized weekly aggregated epidemic/pandemic time series (inci-dence, hospitalisations, mortality and sickness absences from work) to re-model the 1918-1920 pan-demic in Zurich and investigate how different parameters correspond, how transmissibility changed during the different waves, and how public health interventions were associated with changes in these pandemic parameters. Results: In general, the various time series show a good temporal correspondence, but differences in their expression can also be observed. The first wave in the summer of 1918 did lead to illness, ab-sence from work and hospitalisations, but to a lesser extent to increased mortality. In contrast, the sec-ond, longest and strongest wave in the autumn/winter of 1918 also led to greatly increased (excess) mortality in addition to the burden of illness. The later wave in the first months of 1920 was again as-sociated with an increase in all pandemic parameters. Furthermore, we can see that public health measures such as bans on gatherings and school closures were associated with a decrease in the course of the pandemic, while the lifting or non-compliance with these measures was associated with an in-crease of reported cases. Discussion: Our study emphasizes the need to analyse a pandemic's disease burden comprehensively, beyond mortality. It highlights the importance of considering incidence, hospitalizations, and work absences as distinct but related aspects of disease impact. This approach reveals the nuanced dynamics of a pandemic, especially crucial during multi-wave outbreaks.
The Investigation of Nonlinear Variability Underlying Postural Control in The Injure-Limb in Individuals with and without Chronic Ankle Instability

Background: Less flexible and adaptable sensorimotor systems reflect in movement variability in individuals with Chronic Ankle Instability (CAI), which may limit their ability to detect relevant information using a variety of primary sensory feedback. Thus, the aim of the study was to investigate underlying biological noise pertaining to postural control in single-limb stance during increased environmental constraints with sensory feedback manipulations in individuals with and without CAI. Methods: Forty-two individuals with and without CAI participated in the study. A one-way ANOVA was utilized to examine group differences in biological noise underlying postural control during the SOT conditions in single-limb stance. Results: Individuals with CAI demonstrated significantly lower SampEN while maintaining posture during Condition 5 (P=.037) and Condition 6 (P=.030), where they were forced to exclusively rely on vestibular feedback, in single-limb stance compared to healthy controls. Discussion: Individuals with CAI did not demonstrate decreased movement variability pertaining to postural control during all six SOT conditions. Those participants with CAI only displayed decreased movement variability when they were forced to executively rely on vestibular feedback while maintaining posture in the injured-limb compared to healthy controls.
Insulin resistance, and not Î²-cell impairment, mediates association between Mycobacterium tuberculosis sensitization and type II diabetes mellitus among US adults.

Type 2 diabetes mellitus (T2DM) may be a long-term sequela of infection with Mycobacterium tuberculosis (M.tb) by mechanisms that remain to be fully explained. We evaluated the association between M.tb sensitization and T2DM among U.S adults and, via formal mediation analysis, the extent to which this association is mediated by insulin resistance and/or {beta}-cell failure. These evaluations accounted for demographic, socio-economic, behavioral and clinical characteristics. T2DM was assessed by fasting plasma glucose, 2-hour oral glucose tolerance testing and HbA1c; homoeostasis model assessment 2 (HOMA2) was used to estimate {beta}-cell dysfunction (HOMA2-B) and insulin resistance (HOMA2-IR); while M.tb sensitization status was ascertained by tuberculin skin testing (TST). Exposure to M.tb was associated with increased risk for T2DM, likely driven by an increase in insulin resistance. Definitive prospective studies examining incident T2DM following tuberculosis are warranted.