Miracle-dz/UniFAR-FTUs huggingface dataset:
Elevated high sensitive C-reactive protein in fibromyalgia

Introduction Fibromyalgia syndrome (FMS) is a complex chronic pain condition characterized by widespread pain and tenderness, fatigue, and sleep disturbances. Currently, factors contributing to FMS are considered to be multifactorial, and the involvement of inflammatory processes is a question of debate. Objective The aims of this study were (1) to assess whether serum concentrations of high-sensitivity C-reactive protein (hsCRP) differ between individuals diagnosed with FMS and pain-free controls, (2) to determine whether these differences are associated with clinical symptoms, and (3) to explore whether the observed differences can be explained by specific covariates such as age, weight, and smoking status. Methods An ANOVA was applied to identify differences of hsCRP levels between FMS and pain-free controls and an analysis of covariance (ANCOVA) was performed to investigate the dependencies of hsCRP with respect to covariates. To assess the reliability of our findings, we also utilized a Bayesian robust estimation model to determine the level of confidence associated with our results. Results The results showed that individuals with FMS had higher hsCRP levels compared to healthy controls [F(1,106) = 8.802, p < 0.001] and that higher hsCRP levels were significant correlated with a higher symptom burden (r = 0. 287, p = 0.008) and more tender points (r = 0.307, p = 0.005). Further, hsCRP levels were significantly associated with weight (η2 = 0.154, p < 0.001), but independent of age (η2 = 0.005, p = 0.42), smoking status (η2 = 0.002, p = 0.623), or gender (η2 = 0.0045, p = 0.437), which resulted in an insignificant group effect between FMS and controls (η2 = 0.029, p = 0.052), even after controlling for covariates. Conclusion In conclusion, this study provides evidence that sub-inflammatory processes correlate with clinical symptoms, which can be partly attributed to differences in weight, but cannot be fully explained by them. Further research is needed to elucidate the mechanisms underlying the association between hsCRP and FMS and to explore the potential therapeutic implications of targeting hsCRP in the management of FMS.
Effect of Adaptive Cluster Sampling Design on Accuracy of Sediment Rating Curve Estimation

Adaptive cluster sampling represents a design whereby more samples during high storm hydrographs can be obtained in the field compared to the commonly used calendar-based. To compare the effect of these sampling designs on accuracy of sediment rating curve estimation, we performed a study for Gorgan-Rood River, Iran by synthesizing sample sets from daily records. The load estimates obtained by conventional, two bias-corrected, and logged mean load within discharge classes (LMLWDCs) rating curves were statistically evaluated. All rating curves derived from calendar-based sample sets–except those with a nonparametric correction factor–underestimated the average load from 25 to 76%. Rating curves derived from adaptive sample sets, however, increased the sediment load to as much as 30%. Among this group of rating curves, LMLWDC produced the most accurate results with only 3% overestimation and a coefficient of variation in the order of 14% when the sampling frequency was semiweekly. The more accurate estimates from adaptive sample sets are likely due to the inclusion of more samples from high load periods.
Structural Features of Connective Tissue Formed around Resin Implants Subcutaneously Embedded in Dairy Cows

Simple Summary The relation between implant components, foreign body reactions to implant materials, and the formation of connective tissue (CNT) in host animals is crucial for developing effective xenotransplantation techniques. This study demonstrated that dairy cows produce several large, dense, collagen-based CNTs following subcutaneous implantation of acrylic resin-based implants. We elucidated the process of CNT formation within the implants. The implants used in this study, comprising an outer cylinder, a core rod, and caps at both ends, were composed of acrylic resin created using a three-dimensional (3D) printer. No abnormalities, such as chronic inflammation, were observed. An advantage of 3D printing technology in the medical field is its ability to produce implants with complex shapes for surgical applications. Therefore, the combination of acrylic resin and 3D printer design holds promise for researching foreign body reaction and clinical applications in future studies. Abstract Foreign body reactions (FBRs) are inadvertently observed in invading or artificially embedded materials, triggering inflammation and subsequent fibrotic processes to occur in situ. Here, we assessed the spatiotemporal formation of connective tissue around implanted materials to establish a technique using connective tissue formed by FBRs as xenografts. An acrylic resin implant, comprising a columnar inner rod and a tubular outer cylinder (OC) with several slits, was embedded in adult dairy cows. Tissues formed in the inner rod and OC groups were histologically analyzed at weeks 2, 4, 8, and 12. Edematous tissues with non-collagenous fibers formed for 2 weeks and showed increased cellularity after 4 weeks. The weight, thickness, amounts of total protein, collagen, DNA, and quantitative scores of α-smooth muscle actin-positive myofibroblasts or elastic fibers notably increased after 8 weeks, with condensed collagen fibers showing orientation. Inflammatory cells were primarily localized in tissues close to the OC, and their numbers increased, with the count of CD204+ cells peaking at 8 weeks and declining at 12 weeks. The count of Ki67+ proliferating cells slightly increased in tissues close to the OC; however, the number and lumen of CD31+ vessels increased. These results may help understand FBR-related tissue remodeling.
Multifaceted Approaches for Introducing a Hardware-Thread Migratory Architecture

The challenges of HPC education span a wide array of targeted applications, ranging from developing a new generation of admin-istrators and facilitators to maintain and support cluster resources and their respective user communities, to broadening the impact of HPC workflows by reaching non-traditional disciplines and training researchers in the best-practice tools and approaches when using such systems. Furthermore, standard x86 and GPU architectures are becoming untenable to scale to the needs of computational research, necessitating software and hardware co-development on less-familiar processors. While platforms such as Cerebras and SambaNova have matured to include common frameworks such as TensorFlow and PyTorch as well as robust APIs, and thus are amenable to production use cases and instructional material, other systems may lack such infrastructure maturity, impeding all but the most technically inclined developers from being able to leverage the system. We present here our efforts and outcomes of providing a co-development and instructional platform for the Lucata Pathfinder thread-migratory system in the Rogues Gallery at Georgia Tech. Through a collection of user workflow management, co-development with the platform’s engineers, community tutorials, undergraduate coursework, and student hires, we have been able to explore multiple facets of HPC education in a unique way that can serve as a viable template for others seeking to develop similar efforts.
Fingerprinting the water site in mantle olivine

Nominally anhydrous minerals such as olivine contain trace amounts of water and may accommodate the entire water budget of the upper mantle. Here we report for the first time synthetic olivines, crystallized experimentally under upper mantle conditions, that reproduce the most common and intense infrared hydroxyl stretching bands (at 3572 and 3525 cm−1) observed in spinel peridotite mantle olivines. These bands arise from water accommodated at point defects associated with the trace element Ti, and we suggest that this is the most important defect site in the shallow upper mantle. Additional hydrated defects may occur at higher pressures. We also identify bands related to water associated with Fe3+; these are unlikely to reflect equilibrium with the mantle, and indicate water incorporation during exhumation or retrogression. Water must be present at the defect site appropriate for the mantle, at the conditions of interest, for partitioning, seismic wave speed, and deformation experiments on hydrous olivine to be relevant.
Nutritional strategies for minimizing phosphorus pollution from the livestock industry.

Ray, P. P. and Knowlton, K. F. (2015) Nutritional strategies for minimizing phosphorus pollution from the livestock industry. In: Malik, P. K. , Bhatta, R. , Takahashi, J., Kohn, R. and Prasad, C. S. (eds.) Livestock Production and Climage Change. CABI Climate Change Series (6). CAB International, Wallingford, pp. 74-89. ISBN 9781780644325 doi: https://doi.org/10.1079/9781780644325.0074 Available at http://centaur.reading. ac.uk/66157/
Biogeochemical fluxes through microzooplankton

Microzooplankton ingest a significant fraction of primary production in the ocean and thus remineralize nutrients and stimulate regenerated primary production. We synthesized observations on microzooplankton carbon‐specific grazing rate, partitioning of grazed material, respiration rate, microzooplankton biomass, microzooplankton‐mediated phytoplankton mortality rate, and phytoplankton growth rate. We used these observations to parameterize and evaluate the microzooplankton compartment in a global biogeochemical model that represents five plankton functional types. Microzooplankton biomasses predicted in this simulation are closer to the independently derived evaluation data than in the previous model version. Most rates, including primary production, microzooplankton grazing, and export of sinking detritus are within observational constraints. However, the model underestimates microzooplankton and mesozooplankton biomasses and chlorophyll concentrations. Thus, we propose that sufficient carbon enters the model ecosystem, but insufficient carbon is retained. For microzooplankton, the low retention of carbon could be improved by parameterizing the model with ciliate gross growth efficiency only, indicating that ciliates may contribute more to microzooplankton activity than their biomass contribution suggests. By taking into account the model underestimation of biomass, we estimate that the ocean inventory of microzooplankton biomass is 0.24 Pg C (a range of 0.14–0.33 Pg C), which is similar to the biomass of mesozooplankton.
Sea level pressure response to the specification of eddy-resolving sea surface temperature in simulations of Australian east coast lows

Four east coast lows (ECLs) were simulated with the Weather Research and Forecast model to investigate the influence of the sea surface temperature (SST) distribution on the sea level pressure (SLP). Each ECL was simulated with two different SST datasets: the Bluelink SST field and NCEP skin temperature field. The former resolved eddies in the East Australian Current while the latter did not. The simulated SLP fields in the eddy-resolving SST runs were compared with those in the non-eddy-resolving SST runs. On time-scales of about 48 hours, higher SSTs were asso-ciated with lower SLPs. The spatial scale of the SLP response was similar to that of the ocean eddies, indicative of the rapidity and robustness of the response given the rapidly evolving conditions within the storms. On shorter time-scales, the SLP response to SST change can become substantially larger. The largest reductions in SLP in the eddy-resolving SST runs were associated with regions of deep atmospheric convection that warm the tropospheric column. These areas were shown to be related to the SST distribution with the greatest SLP reductions associated with convection over strong SST gradient regions. The landfall of a damaging convective mesoscale low pressure system on 8 June 2007 was also investigated. It was found that a region of strong SST gradients on the southern flank of a large warm ocean eddy was associated with lower pressures at the time of formation of this meso-low. In addition, the only case that simulated the low pressure at the correct time (albeit at not quite the correct location) was the eddy-resolved SST run. It was hy-pothesized that the development of this meso-low that impacted the coast around Newcastle, was enhanced because of the eddy-scale SST distribution at the time.
Cognitive flexibility and entrepreneurial creativity: the chain mediating effect of entrepreneurial alertness and entrepreneurial self-efficacy

Entrepreneurial creativity is an important part of entrepreneurs’ competency structure, and studies have been conducted to explore its impact on outcome variables like entrepreneurial performance, etc., but there are fewer studies on its antecedent variables at the individual level. In the relational model of entrepreneurial creativity, cognitive flexibility, entrepreneurial alertness, and entrepreneurial self-efficacy are included to construct a mediated use spss26.0 model, and data are collected from a research sample of 325 entrepreneurs for empirical analysis. The results indicate that: cognitive flexibility has a positive effect on entrepreneurial creativity; entrepreneurial alertness plays an independent mediating role between cognitive flexibility and entrepreneurial creativity, which is similar to how entrepreneurial self-efficacy plays the role between cognitive flexibility and creativity; entrepreneurial alertness and entrepreneurial self-efficacy then play a chain mediating role between cognitive flexibility and creativity. These findings reveal that three variables jointly influence entrepreneurial creativity, providing new theoretical and practical insights for understanding and enhancing entrepreneurial creativity. In addition, the study provides valuable guidance for entrepreneurship education and training, which can help entrepreneurs to better utilize their creativity and thus promote innovation and success in entrepreneurial activities.
Combining a Genome-Wide Association Study and Gene-Based Haplotype Analysis to Identify Candidate Genes for Cold Tolerance at the Bud Burst Stage in Rice (Oryza sativa L.)

As a temperature-loving crop, rice is sensitive to low temperatures. With the popularization of direct-seeded rice, cold tolerance (CT) at the bud burst stage has become an important breeding goal. Here, we evaluated CT for 513 rice accessions at the bud burst stage. A total of 13 QTLs were detected by genome-wide association analysis using the severity of damage (SD) and survival rate of seedlings (SR) as indicators of CT. Based on analyses of LD blocks, GO enrichment, gene expression and haplotype, we identified five genes, LOC_Os01g35184, LOC_Os01g56150, LOC_Os01g73410, LOC_Os02g36740, and LOC_Os09g28180, as the most likely candidates for qSD1-1, qSD1-4, qSD1-5, qSD2-1, and qSR9-1, respectively, for CT. The accumulative effects of favorable haplotypes for the above five most likely candidate genes played an important role in the improvement of the CT of rice cultivars. Hence, this study has furnished valuable insights for advancing gene cloning and pyramiding breeding, aiming to enhance cold tolerance during the bud burst stage in rice.
Machine learning-based stress classification system using wearable sensor devices

University students often become victims of high-stress levels due to the highly competitive work environment. Unmonitored stress levels in students can inflict severe physiological health problems. This work aims to build a stress classification framework using wearable sensor devices to predict mental stress levels for undergraduate engineering students. It comprises a study to collect a data set of 23 university students using wearable devices for four physiological signals, i.e., electroencephalogram (EEG), electrodermal activity (EDA), skin temperature (SKT), and heart rate (HR), when the students perform the montreal imaging stress task (MIST) for the mental workload. The machine learning models proposed in this work help classify stress into three levels: rest, moderate, and high. The models achieve a classification accuracy of 99.98% using the EEG signals’ time-frequency domain features and an accuracy of 99.51% using the EDA, HR, and SKT signals. The proposed models achieve better scores than all the previous studies on stress classification, using EEG signals and EDA, HR, and SKT signals. This study is novel since it also demonstrates the applicability and proficiency of wearable sensor devices in developing accurate stress classification models to help build real-time stress monitoring systems.
Edaphoclimatic and genetic influence on soil water availability factor for different sugarcane varieties

Sugarcane is grown in all Brazilian states; however, water stress is the main limiting factor of crop productivity in most farming environments (FEN). Thus, the objective was to verify the water availability factor in the soil (factor f) between FEN and sugarcane varieties. The assay was conducted in the Central and Southern Regions of Goiano, in Red Latosol with distinct physical-water attributes among the FEN. Three varieties of sugarcane - Vs (CTC4, RB966928 and RB867515), five factor f (0.41; 0.46; 0.66; 0.72; and 0.84), and two cultivation environments (Goianésia and Quirinópolis), in a sugarcane plant cycle (2019/2020) were evaluated. The randomized block design was used in a factorial scheme (3x5x2), with four replications. The physiological variables (liquid photosynthesis - Lp, stomatic conductance - Sc, leaf transpiration - Lt and temperature gradient leaf atmosphere - TGLA), ton of stalk per hectare - TSH, total recoverable sugars - TRS, ton of POL per hectare - TPH, sugar and alcohol. They were submitted to the F test, mean comparison and quadratic regression. The Sc, Lt and Lp differed statistically between themselves and between FEN, when submitted to the same factor f and Vs, reflecting in penalty in TSH and POL, TRS , sugar and alcohol. Indicating that factor f varies, both between FEN and between Vs. CTC4 has higher productive potential than other Vs; however, more sensitive to soil water depletion (lower factor f), reflecting lower Lp and TSH in both FEN. The factors of soil water availability to avoid water stress were 0.5, 0.49 and 0.47 for RB867515, RB966928 and CTC4, respectively, in Quirinópolis; and 0.47, 0.47 and 0.44 for RB867515, RB966928 and CTC4, respectively, in Goianésia
FEEDING PATTERN EFFECT ON ORAL HEALTH PARAMETERS AND SALIVARY IL-6 LEVEL AMONG PRESCHOOL CHILDREN

Background: Interleukin-6 plays a role in both regenerative and anti-inflammatory processes as well as inflammatory reactions. Various cytokines can be produced as a result of caries, which can then trigger oral immune reactions. Different inflammatory states, such as gingivitis, periodontitis, and oral lichen planus, were discovered to have high cytokine levels. This study aimed to evaluate the effect of feeding patterns on oral health parameters (dental caries, gingival health status) and age by measuring the level of salivary IL-6. Material and methods: The study sample included 61 children aged 4-6 years old divided into two groups (breastfeeding group and formula feeding group). The examination of the oral cavity was done on the basic method of oral health surveys of the World Health Organization by using dmfs, plaque, and gingival index according to recording protocols to measure the severity of dental caries and gingivitis. Saliva samples were collected and subjected to an enzyme-linked immunosorbent assay (ELISA) test to measure the level of IL-6. Results: Data of the present study showed a highly significant difference in salivary IL-6 levels between the breastfeeding group and formula-feeding group, and the median level of IL-6 was 5.5 in the breastfeeding group while in the formula-feeding group, it was 32.2. The results were statistically significant in the breastfeeding group between IL-6 and caries rate dmfs (p0.048), IL-6 and gingival index (p0.035), and dmfs with age (p0.049), while for formula feeding group these results were statistically non-significant. Conclusion: In preschool-aged caries rate (dmfs) is strongly correlated to the salivary IL-6 level. IL-6 level has a potent relation to the gingival index with a positive direction so it can be used as an early indicator for the presence of gingivitis and carious lesion. Breastfeeding has a direct effect to reduce the level of salivary IL-6 so it will affect the correlation between IL-6 levels and oral health parameters.
Age effects on the water‐use efficiency and water‐use dynamics of temperate pine plantation forests

This study analysed age‐related water‐use dynamics across three temperate conifer forest plantations (aged 11, 39 and 74 years, as of 2013, henceforth referred to as TP02, TP74 and TP39, respectively, where the last two digits represent the year of planting) in southern Ontario, Canada, from 2008 to 2013. Eddy covariance‐measured mean evapotranspiration over the growing season (April–October) was 438 ± 19, 392 ± 19 and 323 ± 25 mm at TP39, TP74 and TP02, respectively. Daytime bulk surface conductance was highest and most variable at the TP39 site (8.5 ± 4.0 mm s−1), followed by the TP74 (7.0 ± 2.8 mm s−1) and TP02 (5.4 ± 2.5 mm s−1) sites. Evapotranspiration at all the forests was sensitive to air temperature and tended to decrease with increasing atmospheric dryness. The youngest forest's evapotranspiration was most conservative, which led to an increase in water‐use efficiency throughout the study period, in particular during drought events. The oldest forest was the least restrictive in its water use during drought, which led to lower water‐use efficiency during such events as compared with the younger forests. The oldest forest was thinned in early 2012, when about one third of trees were commercially harvested. No significant change in evapotranspiration or water‐use efficiency was observed at this site following thinning; however, daytime bulk surface conductance declined. Our results suggested that changes in stand structure with forest ageing, such as reduction in stem density and increase in sapwood area, were responsible for differences in soil water demand during drought and non‐drought periods, leading to differences in forest water use. Hence, forest age, because of its structural implications, is an important control on stand‐level water‐use efficiency and forests' response to drought events. Our study suggested that younger forests may be best suited to maximize growth and carbon uptake efficiency under rising air temperatures and increasing precipitation variability as predicted by climate models for eastern North America. Copyright © 2015 John Wiley & Sons, Ltd.