Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Thermo-Calc TCFE7 to High-Alloyed Mottled Cast Iron

The thermodynamic modeling of alloy systems consisting of stable and metastable phases e.g. high-alloyed mottled cast iron can be problematic. Thermodynamic databases are rather well-developed for low, medium and high alloyed steels (e.g. HSS) but the application of those databases is not yet very common for high-alloyed (mottled) cast irons. The Thermo-Calc software together with the TCFE7 database is used to calculate isopleth and property diagrams, using the CALPHAD method. Additionally Scheil-Gulliver calculations are performed to simulate the effects of microsegregation during solidification. The results from the thermodynamic calculations are compared with measurements on own samples and with literature values. Those measurements include quantitative light-optical analysis, SEM with BSE detector, EDX measurements for the distribution of the alloying elements as well as XRD and DSC measurements. The investigations show the possibilities which are offered by thermodynamic calculations for high-alloyed mottled cast iron as well as the limitations and the compromises which have to be taken into account when calculating stable and metastable phases existing next to each other.
Posttraumatic Growth and Sexual Violence: A Literature Review

ABSTRACT Posttraumatic growth (PTG) is the positive psychological growth that a person might experience after enduring a traumatic event. PTG is a relatively new area of research identified by researchers because it represents a shift in thinking. Rather than focusing on the negative consequences of trauma, it explores the potential for positive outcomes associated with trauma. Although PTG is well documented across different types of traumas, it is unclear how this kind of growth stems from sexual violence, specifically. This review provides an overview of the literature concerning PTG that is associated with sexual violence. Results across the literature indicate that sexual violence is consistently associated with PTG. However, given the inconsistency in research designs, assessment, and operational definitions used to study PTG, many researchers suggest that it might be difficult to determine how and when PTG occurs. This study provides a literature review of the research on PTG in the aftermath of sexual violence. Important implications for future directions and trauma-based therapy are discussed and include the identification of relevant predictors, the importance of context, and how service providers might benefit from a better understanding of PTG.
Safe storage guidelines for rye

o C increased with time, whereas that of samples stored at 30 and 40 o C decreased. Visible mold appeared in all the 17.5% moisture samples and in all the samples stored at 40 o C. Penicillium spp. and Aspergillus glaucus group were the predominant fungi in almost all samples throughout the study. Fat Acidity Value (FAV) increased with increasing moisture content, temperature, and storage time (�=0.05). Safe storage guidelines with respect to initial moisture content and temperature were developed based on the drop in germination and appearance of visible mold. Rye with #12.5% moisture content stored at # 20 o C would be safe for at least 15 weeks, whereas rye with $ 15%
Human MAIT cells show metabolic quiescence with rapid glucose‐dependent upregulation of granzyme B upon stimulation

Mucosal‐associated invariant T (MAIT) cells are a well‐characterized innate‐like T cell population abundant in the human liver, peripheral tissues and blood. MAIT cells serve in the first line of defense against infections, through engagement of their T cell receptor, which recognizes microbial metabolites presented on MR1, and through cytokine‐mediated triggering. Typically, they show a quiescent memory phenotype but can undergo rapid upregulation of effector functions including cytolysis upon stimulation. T cells profoundly change their cellular metabolism during their maturation and activation. We sought to determine how MAIT cell metabolism may facilitate both the long‐term memory phase in tissue and the transition to rapid effector function. Here, we show, by flow cytometric metabolism assays and extracellular flux analysis that, despite an effector‐memory profile, human MAIT cells are metabolically quiescent in a resting state comparable to naïve and central memory T cells. Upon stimulation, they rapidly increase uptake of glucose and show a concomitant upregulation of the effector molecules notably granzyme B, which is impaired by inhibition of glycolysis with 2‐deoxyglucose. These findings suggest that MAIT cells share some metabolic characteristics of both resting and effector T cell subsets, with a rapid transition upon triggering. Metabolic programming of this cell type may be of interest in understanding and modulating their function in infectious diseases and cancer.
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search

Sponsored search is an important monetization channel for search engines, in which an auction mechanism is used to select the ads shown to users and determine the prices charged from advertisers. There have been several pieces of work in the literature that investigate how to design an auction mechanism in order to optimize the revenue of the search engine. However, due to some unrealistic assumptions used, the practical values of these studies are not very clear. In this paper, we propose a novel \emph{game-theoretic machine learning} approach, which naturally combines machine learning and game theory, and learns the auction mechanism using a bilevel optimization framework. In particular, we first learn a Markov model from historical data to describe how advertisers change their bids in response to an auction mechanism, and then for any given auction mechanism, we use the learnt model to predict its corresponding future bid sequences. Next we learn the auction mechanism through empirical revenue maximization on the predicted bid sequences. We show that the empirical revenue will converge when the prediction period approaches infinity, and a Genetic Programming algorithm can effectively optimize this empirical revenue. Our experiments indicate that the proposed approach is able to produce a much more effective auction mechanism than several baselines.
Is There Any Hope? How Climate Change News Imagery and Text Influence Audience Emotions and Support for Climate Mitigation Policies

Using a national sample, this study experimentally tests the effects of news visuals and texts that emphasize either the causes and impacts of climate change or actions that can be taken to address climate change. We test the effects of variations in text and imagery on discrete emotions (i.e., hope, fear, and anger) and, indirectly, on support for climate mitigation policies. Political ideology is examined as a moderator. The findings indicate that news images and texts that focus on climate‐oriented actions can increase hope and, in the case of texts, decrease fear and anger, and these effects generally hold across the ideological spectrum. In turn, the influence of emotions on policy support depends on ideology: Hope and fear increase support for climate policies for all ideological groups but particularly conservatives, whereas anger polarizes the opinions of liberals and conservatives. Implications for climate change communication that appeals to emotions are discussed.
How Negative Emotion Enhances the Visual Specificity of a Memory

Some studies have suggested that emotion primarily increases memory for gist, and does not enhance memory for detail. There are, however, some instances in which negative objects (e.g., snake, grenade) are remembered with more visual detail than neutral objects (e.g., barometer, blender). In the present functional magnetic resonance imaging (fMRI) study, we examined the encoding processes that lead a person to remember the exact visual details of negative and neutral objects, and to remember which of two decisions were made about the objects (a size decision or an animacy decision). The enhancement in memory for a negative item's visual details appeared to result from enhanced visual processing: The right fusiform gyrus, a region known to be critical for processing exemplar-specific details, showed a greater extent and magnitude of activity during the successful encoding of negative objects. Activity in the right amygdala also corresponded with memory for visual detail, although it did not relate to memory for the task performed with the item. These data provide strong evidence that engagement of some amygdalar regions can correspond with enhanced memory for certain types of details, but does not ensure successful encoding of all contextual details.
Metabolic and physiological adjustment of Suaeda maritima to combined salinity and hypoxia

Background and Aims Suaeda maritima is a halophyte commonly found on coastal wetlands in the intertidal zone. Due to its habitat S. maritima has evolved tolerance to high salt concentrations and hypoxic conditions in the soil caused by periodic flooding. In the present work, the adaptive mechanisms of S. maritima to salinity combined with hypoxia were investigated on a physiological and metabolic level. Methods To compare the adaptive mechanisms to deficient, optimal and stressful salt concentrations, S. maritima plants were grown in a hydroponic culture under low, medium and high salt concentrations. Additionally, hypoxic conditions were applied to investigate the impact of hypoxia combined with different salt concentrations. A non-targeted metabolic approach was used to clarify the biochemical pathways underlying the metabolic and physiological adaptation mechanisms of S. maritima . Key Results Roots exposed to hypoxic conditions showed an increased level of tricarboxylic acid (TCA)-cycle intermediates such as succinate, malate and citrate. During hypoxia, the concentration of free amino acids increased in shoots and roots. Osmoprotectants such as proline and glycine betaine increased in concentrations as the external salinity was increased under hypoxic conditions. Conclusions The combination of high salinity and hypoxia caused an ionic imbalance and an increase of metabolites associated with osmotic stress and photorespiration, indicating a severe physiological and metabolic response under these conditions. Disturbed proline degradation in the roots induced an enhanced proline accumulation under hypoxia. The enhanced alanine fermentation combined with a partial flux of the TCA cycle might contribute to the tolerance of S. maritima to hypoxic conditions.
Thermal Stability of the Lightweight Alkali Activated Chamotte

This study deals with the porous refractories based on alkali activated chamotte with addition of aluminium scrap recycling waste as a pore forming agent and firebrick sawing residues as a heat resistant filler for the application in temperature up to 850°C. These newly developed porous lightweight materials can be potentially used in the industrial field, since they display good thermal insulation, density range from 541 to 618 kg/m3 and resistance to elevated temperatures (material shrinkage at the temperature of 850°C did not exceed 0.05%). The refractoriness of alkali activated materials was studied by differential thermal analysis (DTA/TG) and dilatometry tests. Pore microstructure was examined by SEM. Mineralogical composition of the raw materials and physical properties of the produced samples were determined.
Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables

Accurate precipitation data at a high spatial resolution are essential for hydrological, meteorological, and ecological research at regional scales. This study presented a geostatistical downscaling-calibration procedure to derive the high spatial resolution maps of precipitation over a mountainous watershed affected by a monsoon climate. Based on the relationships between precipitation and other environmental variables, such as the Normalized Difference Vegetation Index (NDVI) and digital elevation model (DEM), a regression model with a residual correction method was applied to downscale the Tropical Rainfall Measuring Mission (TRMM) 3B43 product from coarse resolution (25 km) to fine resolution (1 km). Two methods, geographical difference analysis (GDA) and geographical ratio analysis (GRA), were used to calibrate the downscaled TRMM precipitation data. Monthly 1 km precipitation data were obtained by disaggregating 1 km annual downscaled and calibrated precipitation data using monthly fractions derived from original TRMM data. The downscaled precipitation datasets were validated against ground observations measured by rain gauges. According to the comparison of different regression models and residual interpolation methods, a geographically-weighted regression kriging (GWRK) method was accepted to conduct the downscaling of TRMM data. The downscaled TRMM precipitation data obtained using GWRK described the spatial patterns of precipitation reasonably well at a spatial resolution of 1 km with more detailed information when compared with the original TRMM precipitation. The results of validation indicated that the GRA method provided results with higher accuracy than that of the GDA method. The final annual and monthly downscaled precipitation not only had significant improvement in spatial resolution, but also agreed well with data from the validation rain gauge stations (i.e., R2 = 0.72, RMSE = 161.0 mm, MAE = 127.5 mm, and Bias = 0.050 for annual downscaled precipitation during 2001 to 2015; and R2 = 0.91, RMSE = 22.2 mm, MAE = 13.5 mm, and Bias = 0.048 for monthly downscaled precipitation during 2001 to 2015). In general, the downscaling-calibration procedure is useful for complex mountainous areas with insufficient ground gauges.
Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator

Background Population datasets and the Internet are playing an ever-growing role in the way cancer information is made available to providers, patients, and their caregivers. The Surveillance, Epidemiology, and End Results Cancer Survival Calculator (SEER*CSC) is a Web-based cancer prognostic tool that uses SEER data, a large population dataset, to provide physicians with highly valid, evidence-based prognostic estimates for increasing shared decision-making and improving patient-provider communication of complex health information. Objective The aim of this study was to develop, test, and implement SEER*CSC. Methods An iterative approach was used to develop the SEER*CSC. Based on input from cancer patient advocacy groups and physicians, an initial version of the tool was developed. Next, providers from 4 health care delivery systems were recruited to do formal usability testing of SEER*CSC. A revised version of SEER*CSC was then implemented in two health care delivery sites using a real-world clinical implementation approach, and usage data were collected. Post-implementation follow-up interviews were conducted with site champions. Finally, patients from two cancer advocacy groups participated in usability testing. Results Overall feedback of SEER*CSC from both providers and patients was positive, with providers noting that the tool was professional and reliable, and patients finding it to be informational and helpful to use when discussing their diagnosis with their provider. However, use during the small-scale implementation was low. Reasons for low usage included time to enter data, not having treatment options in the tool, and the tool not being incorporated into the electronic health record (EHR). Patients found the language in its current version to be too complex. Conclusions The implementation and usability results showed that participants were enthusiastic about the use and features of SEER*CSC, but sustained implementation in a real-world clinical setting faced significant challenges. As a result of these findings, SEER*CSC is being redesigned with more accessible language for a public facing release. Meta-tools, which put different tools in context of each other, are needed to assist in understanding the strengths and limitations of various tools and their place in the clinical decision-making pathway. The continued development and eventual release of prognostic tools should include feedback from multidisciplinary health care teams, various stakeholder groups, patients, and caregivers.
Flexural Behavior of Concrete Beams Reinforced with Ribbed Basalt-FRP Bars under Static Loads

AbstractRecently, basalt fiber–reinforced polymer (BFRP) reinforcement emerged as a new FRP type. Research is needed, however, to understand the behavior of BFRP bars in concrete members. This paper presents an experimental study aimed at investigating the flexural behavior and serviceability performance of concrete beams reinforced with ribbed BFRP bars. A total of eight concrete beams measuring 3,100 mm in length×200 mm in width×300 mm in depth were constructed and tested up to failure. Six beams were reinforced with 8-, 12-, and 16-mm BFRP bars with ribbed surfaces and two reference beams were reinforced with 10M and 15M steel bars. The beam specimens were designed in accordance with Canadian standards, and tested under four-point bending over a clear span of 2,700 mm until failure. The test results are presented and discussed in terms of cracking behavior, deflection, and failure modes. The test results yielded an average bond-dependent coefficient (kb) of 0.83, which is lower than 1.0 recommended b.
Study of the Mechanical Properties of Concrete with Sisal and Polypropylene Fibers

Fiber concretes have been revolutionizing the market, as well as lower operating costs, structurally act. The total or partial replacement of steel with natural fiber reinforced concrete could be an economical way to provide an alternative method to achieve greater security in concrete structures, as well as a way to use materials that are energy efficient, economic and ecological.Sisal fiber reinforcement is promising for use in composite materials, due to their low cost, low density, high strength and specific modulus, without risk to health, readily available in some countries and renewal.We studied four different dosages of concrete: without fiber, with two different types of polypropylene (PP) fibers and with sisal fiber. Consistency of fresh concrete, bulk density, water absorption, capillary absorption, compressive strength and microstructural properties values of the samples were investigated.Regarding the consistency of fresh concrete, measured by testing Abrams cone, as the results show a substantial difference between the flowability of the concrete without addition of fibers and other dosages with different types of fibers studied. The compressive strength test at 7 and 21 days also shows resistance as early ages performed fiber, while with increasing days of curing, the resistance becomes a reaction product of cement and pozzolanic water have no effect added fiber. Absorption tests and capillary absorption of water, like the above, consistent with the results shown bibliographic polled, the results being higher in both assays for dosages comprised of PP and sisal fibers.
Water exchange for screening colonoscopy increases adenoma detection rate: a multicenter, double-blinded, randomized controlled trial

Abstract Background and study aims Single-center studies, which were retrospective and/or involved unblinded colonoscopists, have suggested that water exchange, but not water immersion, compared with air insufflation significantly increases the adenoma detection rate (ADR), particularly in the proximal and right colon. Head-to-head comparison of the three techniques with ADR as primary outcome and blinded colonoscopists has not been reported to date. In a randomized controlled trial with blinded colonoscopists, we aimed to evaluate the impact of the three insertion techniques on ADR. Patients and methods A total of 1224 patients aged 50 – 70 years (672 males) and undergoing screening colonoscopy were randomized 1:1:1 to water exchange, water immersion, or air insufflation. Split-dose bowel preparation was adopted to optimize colon cleansing. After the cecum had been reached, a second colonoscopist who was blinded to the insertion technique performed the withdrawal. The primary outcome was overall ADR according to the three insertion techniques (water exchange, water immersion, and air insufflation). Secondary outcomes were other pertinent overall and right colon procedure-related measures. Results Baseline characteristics of the three groups were comparable. Compared with air insufflation, water exchange achieved a significantly higher overall ADR (49.3 %, 95 % confidence interval [CI] 44.3 % – 54.2 % vs. 40.4 % 95 %CI 35.6 % – 45.3 %; P = 0.03); water exchange showed comparable overall ADR vs. water immersion (43.4 %, 95 %CI 38.5 % – 48.3 %; P = 0.28). In the right colon, water exchange achieved a higher ADR than air insufflation (24.0 %, 95 %CI 20.0 % – 28.5 % vs. 16.9 %, 95 %CI 13.4 % – 20.9 %; P = 0.04) and a higher advanced ADR (6.1 %, 95 %CI 4.0 % – 9.0 % vs. 2.5 %, 95 %CI 1.2 % – 4.6 %; P = 0.03). Compared with air insufflation, the mean number of adenomas per procedure was significantly higher with water exchange (P = 0.04). Water exchange achieved the highest cleanliness scores (overall and in the right colon). These variables were comparable between water immersion and air insufflation. Conclusions The design with blinded observers strengthens the validity of the observation that water exchange, but not water immersion, can achieve significantly higher adenoma detection than air insufflation. Based on this evidence, the use of water exchange should be encouraged. Trial registered at ClinicalTrials.gov (NCT02041507).
The association of parental education with childhood undernutrition in low- and middle-income countries: comparing the role of paternal and maternal education

Abstract Background: Most existing research on the association of parental education with childhood undernutrition focuses on maternal education and often ignores paternal education. We systematically investigate differences in maternal and paternal education and their association with childhood undernutrition. Methods: One hundred and eighty Demographic and Health Surveys from 62 countries performed between 1990 and 2014 were analysed. We used linear-probability models to predict childhood undernutrition prevalences, measured as stunting, underweight and wasting, for all combinations of maternal and paternal attainment in school. Models were adjusted for demographic and socio-economic covariates for the child, mother and household, country-level fixed effects and clustering. Additional specifications adjust for local area characteristics instead of country fixed effects. Results: Both higher maternal and paternal education levels are associated with lower childhood undernutrition. In regressions adjusted for child age and sex as well as country-level fixed effects, the association is stronger for maternal education than for paternal education when their combined level of education is held constant. In the fully adjusted models, the observed differences in predicted undernutrition prevalences are strongly attenuated, suggesting a similar importance of maternal and paternal education. These findings are confirmed by the analysis of composite schooling indicators. Conclusions: We find that paternal education is similarly important for reducing childhood undernutrition as maternal education and should therefore receive increased attention in the literature.