Miracle-dz/UniFAR-FTUs huggingface dataset:
Insights Into Deep Mantle Thermochemical Contributions to African Magmatism From Converted Seismic Phases

The contribution of mantle upwellings of varying spatial extent to Cenozoic magmatism across Africa is debated because geochemical and seismological tools used to interrogate them are primarily sensitive to either composition or temperature. Thermochemical conditions control the depth at which mantle materials undergo phase changes, which cause seismic discontinuities. Mapping seismic discontinuities across the mantle transition zone (MTZ) and below provides insight into the variable thermochemical nature of upwellings. We present observations of seismic discontinuities beneath Africa obtained from a compilation of P‐to‐s receiver functions (RFs; using Pds, PPds, and PKPds phases), recorded at seismograph networks across Africa between 1990–2019. We exploit a recent high‐resolution African continental P‐wavespeed model to migrate our RFs to depth in a common conversion point stack. Cenozoic magmatism along the East African Rift is largely underlain by a thin MTZ implying a contribution to rift magmatism from sources at or below MTZ depths. The Ethiopian rift is underlain by a depressed d410 and uplifted d660 indicating a moderate positive thermal anomaly at MTZ depths (∼100–150 K). The southern East African Rift displays a greater d410 depression and a regional d660 depression, suggesting a stronger thermochemical anomaly at MTZ depths. Here, seismic conversions at ∼1,025 km depth are collocated with slow wavespeeds within the African Superplume, corroborating evidence for a compositional anomaly. We suggest that the contribution of a purely thermal plume directly below Ethiopia augments conditions for mantle melting and rifting. Distinct upwellings may also affect the MTZ below Cenozoic magmatism in Cameroon and Madagascar.
Biofilm Early Stages of Growth and Accumulation Theoretical Model

A theoretical model to translate the evolution over time, in early stages, of growth and accumulation of biofilm bacterial mass is introduced. The model implies the solution of a system of differential-difference master equations. The application of an algorithm like Miller´s tree term recurrence, already known for Bessel functions of first kind, allows an exact calculation of the solutions of such equations, for a wide range of parameters values and time. For biofilm model a five term recurrence is deduced and applied in a backwards computation. A suitable normalisation condition completes the reach of the solution.
Anti-proliferative and anti-migratory effects of EGFR and c-Met tyrosine kinase inhibitors in triple negative breast cancer cells

Background: There is increasing need to develop targeted therapies for triple negative breast cancer (TNBC) as conventional therapies are ineffective at combatting systemic disease. Triple negative breast tumors often have increased expression of receptor tyrosine kinases (RTKs) such as epidermal growth factor receptor (EGFR) and the hepatocyte growth factor receptor c-Met; presenting as potential targets for treatment. However, targeted anti-EGFR and anti-c-Met therapies have faced mixed results in clinical trials due to acquired resistance. In this study, we explore the potential of EGFR and c-Met as potential targets for treatment of metastatic TNBC, including assessment of potential mechanisms of response. Methods: To help define the clinical context, we first evaluated EGFR and c-Met expression data from The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC). Using MDA-MB-468 and MDA-MB-231 TNBC cell lines, we also investigated the effects of the c-Met inhibitor cabozantinib and the EGFR inhibitor erlotinib on in vitro cell proliferation, migration, invasion and downstream signaling pathways. Results: TCGA and CPTAC data demonstrated increased expression of both EGFR and c-Met in patients with TNBC relative to other breast cancer subtypes (P<0.05). We observed that MDA-MB-468 cells were more sensitive to the anti-proliferative effects of erlotinib (IC50 =9.70 nM) compared to MDA-MB-231 cells (IC50 =5.48 μM), whereas MDA-MB-231 cells were more sensitive to cabozantinib (IC50 =1.68 μM) than MDA-MB-468 cells (IC50 =8.89 μM). In erlotinib-treated MDA-MB-468 cells, we observed a decrease in both phosphorylated EGFR (Y1086) and total EGFR as well as decreased activation of ERK1/2 (T202, Y204) (P<0.05). Cabozantinib, although not directly affecting the activation of c-Met, attenuated activation of AKT1 (S473) in MDA-MB-231 cells (P<0.05). Finally, we observed a reduction in cell migration and invasion of erlotinib-treated MDA-MB-468 cells and cabozantinib-treated MDA-MB-231 cells compared to controls (P<0.05). Conclusions: Erlotinib and cabozantinib have varying anti-proliferative and anti-migratory effects in different TNBC models. Elucidation of the underlying mechanisms that define the heterogenous response to tyrosine kinase inhibitors (TKIs) in TNBC could help identify biomarkers to stratify patients for treatment and/or facilitate discovery of targets to attenuate acquired resistance.
Hematological and Intestinal Responses of Broilers to Dietary Supplementations of Lactic Fermented Turmeric, Black Pepper or a Mixture of Both

The present experiment investigated the impact of administrations of lactic fermented turmeric, black pepper or a mixture of both into diets on the hematological parameters and intestinal ecology and morphology of broilers. Three hundred and ninety two broilers were spread to T0 (control), T1 (feed administrated with 1% lactic fermented turmeric), T2 (feed administrated with 1% lactic fermented black pepper) and T3 (feed administrated with 1% lactic fermented turmeric and 1% lactic fermented black pepper). Blood sampling was conducted at days 21 and 35, while intestinal sampling was at day 35. At day 21, erythrocyte counts were greater (P ≤ 0.05) for T1 compared to that for T2 and T3. Broilers in T1 had deceased (P ≤ 0.05) serum total triglyceride compared to that of T0 and T3. The concentration of globulin was reduced (P ≤ 0.05) in T3 than that in T0 and T1. At day 35, serum triglyceride level was more elevated (P ≤ 0.05) in T0 compared to that in T2 and T3 groups. Serum cholesterol as well as low-density lipoprotein levels were lower (P ≤ 0.05) in T3 than that in T0. Compared to other broilers, total protein and globulin concentrations were lower (P ≤ 0.05) in T3. A bigger (P ≤ 0.05) ratio of albumin to globulin (A/G) was seen in T3 compared to that in T1 and T2. Creatinine was greater (P ≤ 0.05) in T1 than in others. The titer of antibody toward vaccine of Newcastle disease was elevated (P ≤ 0.05) in T1 and T2 than in T0. The LAB counts were enhanced (P ≤ 0.05) in ileum of T1 and T2 than that in T0. Compared to T0, the villi height of jejunum was elevated (P ≤ 0.05) in treated broilers. In conclusion, administration of fermented turmeric powder improved erythrocyte counts, antibody titer toward Newcastle disease vaccine, LAB population and jejunal villi height of broilers.
Physical processes driving intensification of future precipitation in the mid- to high latitudes

Precipitation is changing as the climate warms, and downpours can become more intense due to the increased water holding capacity of the atmosphere. However, the exact nature of the precipitation response and its characteristics is still not well understood due to the complex nature of the physical processes underlying the formation of clouds and precipitation. In this study, present and future Norwegian climate is simulated at convection-permitting scales with a regional climate model. The future climate is a high emission scenario at the middle of the century. Hourly precipitation is separated into three categories (convective, stratiform, and orographically enhanced stratiform) using a physically-based algorithm. We investigate changes in the frequency, intensity and duration of precipitation events for each category, delivering a more nuanced insight into the precipitation response to a changing climate. Results show very strong seasonality, with significant intensification of autumn precipitation. An increase in convective precipitation frequency and intensity dominates the climate change signal regardless of season. While changes in winter and summer are well explained by thermodynamical theory, the precipitation response in autumn and spring deviates from the idealised thermodynamic response, partly owing to changes in cloud microphysics. These results show that changes in the precipitation distribution are affected in complex ways by the local climatology, terrain, seasonality and cloud processes. They illustrate the need for further and more detailed investigations about physical processes underlying projected precipitation changes and their seasonal and regional dependence.
Different elevational environments dictate contrasting patterns of niche evolution in Neotropical Pithecopus treefrog species

Understanding how species’ ecological niches evolve can shed light on observed large‐scale biogeographic patterns, temporal range shifts, and the potential ability for species to cope with climate changes. Here, we investigated climatic niche evolution in the Neotropical treefrog genus Pithecopus by testing for phylogenetic niche conservatism (PNC). We first evaluated niche overlap patterns based on pairwise niche comparisons of sister species pairs inferred from two alternative topologies for the genus, where higher niche overlap for those pairs compared to random species pairs would represent evidence of PNC. Second, we evaluated phylogenetic conservatism of climatic niches by fitting evolutionary models for niche position and niche breadth across the two alternative phylogenetic trees for the genus. Sister species pairs did not show higher mean niche overlap when compared to random pairs. Comparisons considering species’ elevational habitats, on the other hand, showed that lowland sister species had greater niche overlap and montane species lower overlap than expected given the prevailing environmental conditions in each habitat, suggesting different evolutionary histories of niche differentiation for species with different elevational ranges. The best fit of niche position and breadth to both stasis and drift models supported the existence of PNC. We conclude that evolution of climatic niches in Pithecopus suggests overall PNC and that the contrasting patterns found for lowland and mountainous species reinforce the importance of considering the effects of habitat type in understanding climatic niches dynamics.
The Role of Emotion in Job Search Behavior Among College Students

Korean college students preparing to enter the world of work are going through a long-term process of job searching. During the process, individuals experience various emotions, which can motivate (or demotivate) them to keep going. The present study, grounded in motivational systems theory, examined the roles of emotions in job search behavior. A sample of 116 college students, who were seeking a job for the first time, participated. Using three-wave longitudinal data and multilevel modeling, within- and between-person-level associations were examined. The outcome variables were job search behavior and the number of resumes submitted. The results showed that individuals who experience more positive emotions and negative emotions were more likely to engage in job search behavior at both the within- and between-person levels. However, the number of resumes submitted was not significantly related to positive or negative emotions. The implications of the study were discussed.
Highly conductive poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)/nylon 6 nanofiber web treated with repetitive coating cycles and dimethyl sulfoxide multi-step treatment for electronic textiles

Highly conductive nylon 6 nanofiber web was fabricated with poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) and dimethyl sulfoxide (DMSO) for electronic textiles. To improve electrical conductivity, repeated coating with PEDOT:PSS and multi-step treatment of DMSO was performed. The effects of these treatments on electrical conductivity, surface properties, and chemical structures were investigated. For repetitive coating cycles, pristine PEDOT:PSS dispersion was dropped onto a nylon 6 nanofiber web for between one and four times of coating. For DMSO multi-step treatment, in the one-step treatment, the nanofiber web was repeatedly treated using PEDOT:PSS doped with DMSO. In the two-step treatment, the nanofiber web was repeatedly treated with doped PEDOT:PSS at first and, then, it was immersed in a DMSO bath. As a result, the sheet resistance decreased dramatically as the number of coating cycles increased. When the two-step treatment was applied, the sheet resistance was much lower compared to that of the one-step treatment, and thereby sample PD4-D with the lowest resistance showed 6.56 Ω/sq. As a result, the surface of the nanofiber web was covered with more PEDOT:PSS as the coating cycle was repeated. The PEDOT particles became large and long shapes after the two-step treatment of DMSO. This inferred that the contact area among conducting PEDOT particles increased because insulating PSS was removed by DMSO. In addition, the presence of PEDOT:PSS and nylon 6 was confirmed. This study proved that the simultaneous treatments of repeated coating with PEDOT:PSS and multi-step treatment of DMSO can improve electrical conductivity, and it developed the highly conductive PEDOT:PSS/nylon 6 nanofiber web.
The optimization of state of charge and state of health estimation for lithium‐ions battery using combined deep learning and Kalman filter methods

An accurate estimate of the battery state of charge and state of health is critical to ensure the lithium‐ion battery's efficiency and safety. The equivalent circuit model‐based methods and data‐driven models show the potential for robust estimation. However, the state of charge and state of health estimation system's performance with a parallel comparison has been rarely investigated. In this study, the performances of state of charge and state of health with equivalent circuit model‐based methods and data‐driven estimations are analyzed by different aged and capacity batteries through methods including extended Kalman filters, fully connected deep network with drop methods, and the combination (extended Kalman filters—fully connected deep network with drop methods). Besides the battery state of the voltage and current, the relationship between inner resistance, temperature, and capacity are also considered. Finally, a suggested method is promising for online state estimation of battery working at different temperatures and initial working state. The results indicate that the maximum state of charge estimation errors of the fully connected deep network with drop methods is 0.56% for the fully charged battery. Simultaneously, with an uncertain initial state of charge, the extended Kalman filter shows the lowest maximum state of charge estimation errors (1.4%). For the state of health estimation, the optimized method uses extended Kalman filters to do the monitor first; after 5 testing points, if the state of health drops to lower than 0.95, extended Kalman filters—fully connected deep network with drop methods is suggested. And finally, estimation errors for this method decreased from 30% to 2%.
Sense of Belonging, Racial Microaggressions, and Depressive Symptoms among Students of Asian Descent in the United States

ABSTRACT This study explored the moderating role of sense of belonging on the relations between racial microaggressions and depressive symptoms. Using survey data from students of Asian descent in the United States (N = 553) at a predominantly White university, we found that racial microaggressions and sense of belonging significantly predicted depressive symptoms. In addition, sense of belonging moderated the relations between racial microaggressions and depressive symptoms. Specifically, having a higher level of sense of belonging had a counter effect against the detrimental impact of racial microaggressions on the depressive symptoms. Implications for research and practice in higher education are discussed.
Uric Acid-to-Albumin Ratio: A Novel Marker for the Extent of Coronary Artery Disease in Patients with Non-ST-Elevated Myocardial Infarction

Objective: This research aimed to investigate the predictive value of the uric acid-to-serum albumin ratio (UAR) in establishing the severity and extent of coronary artery disease (CAD) with non-ST segment elevation myocardial infarction (NSTEMI) patients. Methods: A total of 402 patients (mean age 63.5 ± 11.6 years) were included in this retrospectively designed study. We compared Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery Scores (SS) between low (≤22) and intermediate-high (>22) groups. The UAR, the neutrophil-to-lymphocyte ratio (NLR), and the C-reactive protein-to-albumin ratio (CAR) were evaluated and compared. Results: SS >22 were observed in 30.8% (n = 124) of the patients, and their UAR, NLR, and CAR were significantly higher. Three separate multivariate analysis models performed as the outcome of a reliable correlation between UAR, NLR, CAR, and consequently UAR (OR = 2.08; 95% CI 1.21–3.58; p = 0.008) and CAR (OR = 3.33; 95% CI 1.85–5.9; p < 0.001) reached significance but NLR (OR = 1.26; 95% CI 0.86–1.84; p = 0.20) clinically trended significance (not statistically). Model performance comparisons demonstrated that UAR is a better predictor regarding likelihood ratios (UAR, 60.95; NLR, 57.8; and CAR, 59.0). Conclusion: As a novel inflammatory marker, UAR independently predicted better outcomes than CAR and might be used reliably in prediction of the extent of CAD in NSTEMI patients.
When leader-member exchange leads to knowledge sharing: The roles of general self-efficacy, team leader modeling, and LMX differentiation

Abstract Social exchange theory suggests that team members are willing to share their knowledge with each other due to the reciprocity motive stimulated by high-quality exchange relationships with their leader (LMX). However, the relationship may not be this simple. Applying the social learning and self-efficacy elements of social cognitive theory, we propose that team members with higher general self-efficacy are more likely to share knowledge with their teammates when they also enjoy high-quality LMX with the leader. In addition, we hypothesize that this effect is stronger when team members learn how to effectively share knowledge by observing their leader share knowledge or when the variances in LMX qualities within a team (LMX differentiation) are smaller. We also propose that knowledge sharing has a meaningful impact on performance at the team level and hypothesize that team-level knowledge sharing is positively related to team-level performance. Using a field sample of 342 individuals in 56 teams, we find support for our model. These findings advance our understanding of when and why individuals are willing to reciprocate higher-quality LMX relationships by sharing their knowledge with other teammates, and the positive effect this has on team performance.
Effects of Worked Example on Experts’ Procedural Skills in Solving Geometry Problems

Cognitive load theory is an instructional theory that concern to designing an effective learning strategy based on human cognitive system. Worked example was designed based on this theory. Through worked example, students are presented with examples and similar problem solving tasks. This method is believe to reduce extraneous cognitive load. Recent studies reveals that worked example are highly effective for novices, then further tests are needed on effects of this strategy for experts. To test these, total of 118 junior high school students are asked to solve geometry problems and they measured on procedural skills. This experiment compared two levels of learner prior knowledge (expert vs novice) and two learning strategies (worked example vs problem solving). It can be concluded that prior knowledge plays an important role in the effectiveness of learning strategy. Worked example enhanced procedural skills of novices, but it does not effect on experts. Minimum guidance such as problem solving strategy was more effective for experts. Giving worked example to experts causes redundancy effect and extraneous cognitive load. These findings for educational practice in mathematics suggest teacher to designing effective learning strategy by considered students’ prior
Astringency in ‘Giombo’ persimmon and its relationship with the harvest time

‘Giombo’ is one of most cultivated persimmon cultivars in Brazil. It is a late-harvest cultivar and requires treatment for astringency removal. The aim of this study was to evaluate the efficiency of ethanol and the effect of harvest time on reducing astringency, physicochemical and anatomical characteristics of ‘Giombo’ persimmon. Two experiments were carried out, one in each growing season, with five treatments corresponding to exposure to 1.70 mL kg-1ethanol for 0, 12, 24, 36 and 48 hours. At the end of the growing season (2011) the fruits achieved the astringency index and levels of soluble tannins suitable for consumption in 24 hours, and at the beginning of the growing season (2012) in 36 hours, indicating that the efficiency of the treatment is related to harvest time and ethanol exposure time. Astringency removal with ethanol affects the cell structure with accumulation of substances inside the cells and in intercellular spaces, resulting in the degradation of the parenchyma cell wall. To avoid such damage and maintain fruit quality, it is recommended the combination of low ethanol doses with less ethanol exposure time.
Gamification for climate change engagement: review of corpus and future agenda

Both bottom-up and top-down initiatives are essential for addressing climate change effectively. These include initiatives aiming to achieve widespread behavioral change towards reduction of greenhouse gas emissions as well as pursuing education regarding adaptation measures. While awareness of the issue of climate change is now pervasive, and actions are being taken at all levels of society, there is still much to do if international goals are to be met. Games and gamification offer one approach to foster both behavioral change and education. In this paper, we investigate the state-of-the-art of game-based climate change engagement through a systematic literature review of 64 research outputs comprising 56 different gamified approaches. Our analysis of the literature reveals a trend of promising findings in this nascent and growing area of research, suggesting the potential to impact multiple engagement dimensions simultaneously, as well as create an engaging gameful experience. Overall, the corpus appears to offer a fruitful balance in foci between climate science, mitigation, and adaptation, as well as a variety of formats in game-based approaches (i.e. digital, analog, and hybrid). However, shortcomings were also observed, such as geographic and demographic imbalances and the short duration of interventions. The reviewed studies yield a large number of results indicating climate change engagement through gamification, especially in the form of cognitive engagement, affect towards climate change-related topics, and in-game behavioral engagement with others. Nevertheless, heterogeneity in terms of contexts, designs, outcomes, and methods, as well as limited rigor in research designs and reporting, hinders drawing overall conclusions. Based on our review, we provide guidelines regarding contexts, interventions, results, and research quality and internal validity for advancing the space of game-based interventions for climate change engagement.