Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Healthy Aging on Right Ventricular Structure and Biomechanical Properties

Healthy aging has been associated with alterations in pulmonary vasculature and right ventricular (RV) hemodynamics, potentially leading to RV remodeling. Despite the current evidence suggesting an association between aging and alterations in RV function and higher prevalence of pulmonary hypertension in the elderly, limited data exist on age-related differences in RV structure and biomechanics. In this work we report our preliminary findings on the effects of healthy aging on RV structure, function, and biomechanical properties. Hemodynamic measurements, biaxial mechanical testing, constitutive modeling, and quantitative histological analysis were employed to study two groups of Sprague-Dawley rats: control (11 weeks) and aging (80 weeks). Aging was associated with increases in RV peak pressures (≈↑17%, p=0.017), RV contractility (≈↑52%, p= 0.004), and RV wall thickness (≈↑34%, p=0.002). Longitudinal realignment of RV collagen (16.4°, p=0.013) and myofibers (14.6°, p=0.017) were observed with aging, accompanied by transmural cardiomyocyte loss and fibrosis. A bimodal alteration in biomechanical properties was noted, resulting in increased myofiber stiffness (≈↑158%, p=0.0006) and decreased effective collagen fiber stiffness (≈↓67%, p=0.031). Our results demonstrate the potential of healthy aging to modulate RV remodeling via increased peak pressures, cardiomyocyte loss, fiber reorientation, and altered collagen/myofiber stiffness. Some similarities were observed between aging-induced remodeling patterns and those of RV remodeling in pressure overload.
Regarding the F-word: the effects of data Filtering on inferred genotype-environment associations

Genotype-environment association (GEA) methods have become part of the standard landscape genomics toolkit, yet, we know little about how to filter genotype-by-sequencing data to provide robust inferences for environmental adaptation. In many cases, default filtering thresholds for minor allele frequency and missing data are applied regardless of sample size, having unknown impacts on the results. These effects could be amplified in downstream predictions, including management strategies. Here, we investigate the effects of filtering on GEA results and the potential implications for adaptation to environment. Using empirical and simulated datasets derived from two widespread tree species to assess the effects of filtering on GEA outputs. Critically, we find that the level of filtering of missing data and minor allele frequency affect the identification of true positives. Even slight adjustments to these thresholds can change the rate of true positive detection. Using conservative thresholds for missing data and minor allele frequency substantially reduces the size of the dataset, lessening the power to detect adaptive variants (i.e. simulated true positives) with strong and weak strength of selections. Regardless, strength of selection was a good predictor for GEA detection, but even SNPs under strong selection went undetected. We further show that filtering can significantly impact the predictions of adaptive capacity of species in downstream analyses. We make several recommendations regarding filtering for GEA methods. Ultimately, there is no filtering panacea, but some choices are better than others, depending largely on the study system, availability of genomic resources, and desired objectives of the study.
Barriers to gene flow play an important role in miantaining reproductive isolation between two closely related Populus (Salicaceae) species

In most species, natural selection plays a key role in genomic heterogeneous divergence. Additionally, barriers to gene flow, such as chromosomal rearrangements or gene incompatibilities, can cause genome heterogeneity. We used genome-wide re-sequencing data from 27 Populus alba and 28 P. adenopoda individuals to explore the causes of genomic heterogeneous differentiation in these two closely related species. In highly differentiated regions, neutrality tests (Tajima’s D and Fay & Wu’s H) revealed no difference while the absolute divergence (dxy) were significantly higher than genome background, which indicates that natural selection did not play a major role but barriers to gene flow play an important role in generating genomic heterogeneous divergence and reproductive isolation. The two species diverged ∼5-10 million years ago (Mya), when the Qinghai-Tibet Plateau reached a certain height and the inland climate of the Asian continent became arid. We further found some genes that are related to reproduction.
Benefits of deep learning classification of continuous noninvasive brain–computer interface control

Objective. Noninvasive brain–computer interfaces (BCIs) assist paralyzed patients by providing access to the world without requiring surgical intervention. Prior work has suggested that EEG motor imagery based BCI can benefit from increased decoding accuracy through the application of deep learning methods, such as convolutional neural networks (CNNs). Approach. Here, we examine whether these improvements can generalize to practical scenarios such as continuous control tasks (as opposed to prior work reporting one classification per trial), whether valuable information remains latent outside of the motor cortex (as no prior work has compared full scalp coverage to motor only electrode montages), and the existing challenges to the practical implementation of deep-learning based continuous BCI control. Main results. We report that: (1) deep learning methods significantly increase offline performance compared to standard methods on an independent, large, and longitudinal online motor imagery BCI dataset with up to 4-classes and continuous 2D feedback; (2) our results suggest that a variety of neural biomarkers for BCI, including those outside the motor cortex, can be detected and used to improve performance through deep learning methods, and (3) tuning neural network output will be an important step in optimizing online BCI control, as we found the CNN models trained with full scalp EEG also significantly reduce the average trial length in a simulated online cursor control environment. Significance. This work demonstrates the benefits of CNNs classification during BCI control while providing evidence that electrode montage selection and the mapping of CNN output to device control will be important design choices in CNN based BCIs.
The Precursor of Benzoic Acid in Fermented Milk

In market fermented milk approximate ten ppm level of benzoic acid is detected commonly. The previous paper has indicated the presence of benzoic acid in skimmilk as the material of fermented milk, and also benzoic acid as a fermented productaby Lactobacillus in skimmilk medium. This paper showed that the precursor of benzoic acid, metabolite by lactic acid bacteria, is hippuric acid.It was found that when Lb. casei was grown in a skimmilk medium, benzoic acid was formed in the culture broth while hippuric acid disappered. The conversion of hippuric acid into benzoic acid was demonstrated with a good equivalent relation between the amount of hippuric and benzoic acids before and after incubation. Such activity of hippuric acid degradation was confirmed to be present widely in Lactobacillus, Streptococcus and Leuconostoc.
New technology for papermaking : biopulping economics

Fungal pretreatment of wood chips prior to mechanical pulping (biopulping) reduces the electrical energy requirements during refining, potentially increases mill throughput, and improves paper strength. An economic analysis of a 600 tons/day thermo-mechanical pulp (TMP) mill indicates that, based on energy savings alone, the process is economically feasible, and results in an overall savings of about US$ 10 per ton of pulp. Increasing the mill throughput by 20% achieves additional savings of more than US$ 40 per ton of pulp. Replacement of TMP for kraft pulp results in additional savings. For any particular mill, the savings realized will depend on the specific conditions of the mill, utility costs, and current operations. The conclusion is that biopulping is feasible from both an engineering and economic standpoint Application : biopulping, the treatment of wood chips with a lignin-degrading fungus, reduces the electrical energy requirement for refining while producing a stronger pulp. We quantify the economic benefit of the energy savings, throughput increase, and stronger paper through an analysis of a 600 tons/day mill.
Community composition of arctic root-associated fungi mirrors host plant phylogeny

ABSTRACT The number of plant species regarded as non-mycorrhizal increases at higher latitudes, and several plant species in the High-Arctic Archipelago Svalbard have been reported as non-mycorrhizal. We used the rRNA ITS2 and 18S gene markers to survey which fungi, as well as other micro-eukaryotes, were associated with roots of 31 arctic plant species not usually regarded as mycorrhizal in Svalbard. We assessed to what degree the root-associated fungi showed any host preference and whether the phylogeny of the plant hosts may mirror the composition of root-associated fungi. Fungal communities were largely structured according to host plant identity and to a less extent by environmental factors. We observed a positive relationship between the phylogenetic distance of host plants and the distance of fungal community composition between samples, indicating that the evolutionary history of the host plants plays a major role for which fungi colonize the plant roots. In contrast to the ITS2 marker, the 18S rRNA gene marker showed that chytrid fungi were prevalently associated with plant roots, together with a wide spectrum of amoeba-like protists and nematodes. Our study confirms that arbuscular mycorrhizal (AM) fungi are present also in arctic environments in low abundance.
Association between brown eye colour in rs12913832:GG individuals and SNPs in TYR, TYRP1, and SLC24A4

The genotype of a single SNP, rs12913832, is the primary predictor of blue and brown eye colours. The genotypes rs12913832:AA and rs12913832:GA are most often observed in individuals with brown eye colours, whereas rs12913832:GG is most often observed in individuals with blue eye colours. However, approximately 3% of Europeans with the rs12913832:GG genotype have brown eye colours. The purpose of the study presented here was to identify variants that explain brown eye colour formation in individuals with the rs12913832:GG genotype. Genes and regulatory regions surrounding SLC24A4, TYRP1, SLC24A5, IRF4, TYR, and SLC45A2, as well as the upstream region of OCA2 within the HERC2 gene were sequenced in a study comprising 40 individuals with the rs12913832:GG genotype. Of these, 24 individuals were considered to have blue eye colours and 16 individuals were considered to have brown eye colours. We identified 211 variants within the SLC24A4, TYRP1, IRF4, and TYR target regions associated with eye colour. Based on in silico analyses of predicted variant effects we recognized four variants, TYRP1 rs35866166:C, TYRP1 rs62538956:C, SLC24A4 rs1289469:C, and TYR rs1126809:G, to be the most promising candidates for explanation of brown eye colour in individuals with the rs12913832:GG genotype. Of the 16 individuals with brown eye colours, 14 individuals had four alleles, whereas the alleles were rare in the blue eyed individuals. rs35866166, rs62538956, and rs1289469 were for the first time found to be associated with pigmentary traits, whilst rs1126809 was previously found to be associated with pigmentary variation. To improve prediction of eye colours we suggest that future eye colour prediction models should include rs35866166, rs62538956, rs1289469, and rs1126809.
Grouping crossbred Holstein x Gyr heifers according to different feed efficiency indexes and its effects on energy and nitrogen partitioning, blood metabolic variables and gas exchanges

The objectives of this study were: i) to classify animals into groups of high and low feed efficiency (FE) using three FE indexes (Residual feed intake (RFI), Residual weight gain (RG) and Feed conversion efficiency (FCE)), and ii) to evaluate whether crossbreed Holstein x Gyr heifers divergent for FE indexes exhibit differences in nutrient intake and digestibility, energy partitioning, heat production, methane emissions, nitrogen partitioning and blood parameters. Thirty-five heifers were housed in a tie-stall, received ad libitum TMR (75:25, corn silage: concentrate) and were ranked and classified into high (HE) or low efficiency (LE) for RFI, RG and FCE. The number of animals for each HE group were 13 (< 0.5 standard deviation (SD) for RFI, 11 for RG and 11 for FCE (> 0.5 SD) and for the LE were 10 (> 0.5 SD) for RFI, 11 for RG and 12 for FCE (< 0.5 SD). Gas exchanges (O2 consumption, CO2 and CH4 production) in open-circuit respiratory chambers and whole tract digestibility trial was performed. A completely randomized experimental design was used and the data were analyzed by ANOVA and correlation study. High efficiency animals for RFI produced less CO2, consumed less O2 and had lower heat production (HP). Methane production was positively correlated with RFI. High efficiency RG had higher O2 consumption and CO2 production in relation to LE-RG. High efficiency FCE had greater NFC digestibility, higher positive energy balance (EB) and excreted (11.4 g/d) less nitrogen in urine. High efficiency RG and FCE groups emitted less CH4 per kg of weight gain than LE animals. Animals HE for RFI and FCE had lower β-hydroxybutyrate and higher glucose concentrations, respectively. The differences in intake, digestibility, energy and nitrogen partition, CH4 emission, blood metabolic variables and heat production between the HE and LE groups varied according to the efficiency indexes adopted. The HP (kcal/d/BW0.75) was lower for HE animals for RFI and FCE indexes.
A Simulation Model of Heterodera schachtii

A simulation model of a single sugarbeet, Beta vulgaris L. , plant infected by the sugarbeet cyst nematode, Heterodera schachtii Schmidt, was developed using published information. The model is an interactive computer simulation programmed in FORTRAN. Given initial population densities of the nematode at planting, the model simulates nematode population dynamics and the growth of plant tap and fibrous roots. The driving variable for nematode development and plant growth is temperature. The sugarbeet cyst nematode, Heterodera schachtii Schmidt, is a damaging pathogen of sugarbeets worldwide (2,14). Control strategies typically include crop rotation and preplant nematicides, although some granular nematicides may be applied post- plant. Damage thresholds have been de- veloped for several geographical regions of the world. Within a given region, how- ever, damage thresholds can vary with environment and growing conditions. In- creased understanding of nematode pop- ulation dynamics as related to plant growth is important for improved management decisions regarding nematodes in agro- ecosystems. Computer simulation models have helped advance our understanding of nematode- host plant interactions (7,18,21). We report here on the development of a simulation model of H. schachtii infecting the sugar- beet, Beta vulgaris. This work was initiated in 1980, and an abstract of this work has been published (5). MODEL DEVELOPMENT The model simulates population dynam- ics of the nematode on a single sugarbeet
The insulin‐sensitizing effect of a single exercise bout is similar in type I and type II human muscle fibres

Rodent studies suggest muscle fibre type‐specific insulin response in the recovery from exercise. The current study investigates muscle fibre type‐specific insulin action in the recovery from exercise in healthy subjects. In type I and type II muscle fibres, key proteins in glucose metabolism are similarly regulated by insulin during recovery from exercise. Our findings imply that both type I and type II muscle fibres contribute to the phenomenon of increased insulin sensitivity in the recovery from a single bout of exercise in humans.
What do teachers think of death education?

Abstract This study sets out to address a gap in research into teachers’ attitudes and opinions toward death education. To meet this objective, two complementary instruments were designed and validated: the Death Education Attitudes Scale-Teachers (DEAS-T), which showed suitable psychometric values, and the Death Education Questionnaire-Teachers (DEQ-T). The sample comprised 683 teachers from a range of schools. The results show moderately positive attitudes toward death education. Variables such as gender, age, type of teacher, and religious beliefs all influenced results. The findings argue in favor of the inclusion of death in education and teacher training.
The Kaplan Meier estimates of mortality and its predictors among newborns admitted with low birth weight at public hospitals in Ethiopia

Background Globally, every year greater than twenty million newborns are born weighing less than 2500grams, of which over 96% of them were in developing countries. It contributes to sixty to eighty percent of all neonatal deaths, annually. These infants weighing less than 2500gram will have a poor immune system and are at risk of morbidity and mortality. This study was aimed to investigate the survival status and predictors of mortality among neonates admitted with low birth weight at public hospitals in Ethiopia. Method A prospective cohort study was conducted among selected 216 newborns admitted with low birth weight who were admitted in neonatal intensive care unit at Arba Minch General hospital, Sawla General Hospital and Chencha district hospital from 1st March 2018 to 28st February 2019. Data were entered into Epi data version 3.02 and exported to STATA V 14 for analysis. The Kaplan Meier survival curve together with log rank test was used to estimate the survival time of the newborns. Variables which had p-value <0.05 in multivariable analysis using the cox proportional hazard model were declared as statistically significant. Result The cumulative proportion of surviving at the end of third days was 99.01% (95%CI: 96.11, 99.75). Similarly it was 97.81% (95%CI: 94.25, 99.18), 96.27% (95%CI: 91.76, 98.33) and 94.33% (95%CI: 88.72, 97.19) at the end of fourth, fifth and sixth day respectively. The overall mean survival time was 17.13 days (95%CI: 12.76, 21.49). The incidence of mortality among neonates admitted with low birth weight was 83 per 1000 live births. Mothers with DM (AHR:4.79; 95%CI:1.15, 19.8), maternal HIV infection(AHR:6.47;95%CI:1.43,29.3), not keeping the newborn under KMC(AHR:13.0;95%CI:3.42, 49.5) and initiating exclusive breast feeding within one hour(AHR:0.19;95%CI:0.04, 0.95) were statistically significant in multivariable cox regression analysis. Conclusion The risk of mortality among neonates admitted with low birth weight was high at the early admission period and the incidence of mortality was high. Maternal history of diabetes mellitus, HIV/AIDS infection, keeping the newborn under kangaroo mother care and exclusive breast feeding initiation were statistically significant predictors of mortality. Special emphasis should be given for neonates with low birth weight at the early follow up periods and Kangaroo mother care practice should be a usual practice.
Relationship of Seasonal Thrips Populations to Economics of Control on Florunner Peanuts in Florida

Seasonal populations of tobacco thrips, Frankliniella fusca (Hinds), in terminal buds and flowers of Florunner peanut, Arachis hypogea L. , and control with acephate sprays were studied in 1977–78. Populations in buds and flowers were composed of ca. 90% immatures and 92% adults, respectively. The ratio of immatures to adults indicated no mass movement of immatures from buds to flowers after flowering began 23–31 days after planting. Populations per bud peaked during the 1st 31 days of plant growth and steadily declined thereafter. Thrips numbers per bud and foliage injury ratings in 4 of 6 plantings were less than 1.0 and 30%, respectively, when maximum leaf area production occurred ca. 87 days after planting. During the fruiting stage, 108 days after planting, thrips numbers per bud and foliage injury ratings in 4 of 6 plantings were less than 0.6 and 15%, respectively. Consequently, severely injurious populations occurred too early in the growing season to influence yields. All sprays significantly reduced thrips numbers in the buds and injury levels, but yields were not significantly increased under the conditions of this study. Therefore, thrips control on peanuts is economically unfeasible.
Personality, Healthcare Use and Costs—A Systematic Review

Background: Thus far, there is a lack of a systematic review synthesizing empirical studies that analyze the link between personality factors and healthcare use (HCU) or costs. Consequently, the purpose of our systematic review is to give an overview of empirical findings from observational studies examining the association between personality factors and HCU or costs. Methods: PubMed, PsycINFO, and NHS EED (NHS Economic Evaluation Database) were searched. Observational studies examining the association between personality factors and HCU costs by using validated tools were included. Two reviewers performed study selection and data extraction and evaluated the study quality. Findings were synthesized qualitatively. Results: In total, n = 15 studies (HCU, n = 14; cost studies, n = 1) were included in the final synthesis. A few studies point to an association between conscientiousness and HCU (with mixed evidence). Some more evidence was found for an association between higher agreeableness, higher extraversion, and higher openness to experience and increased HCU. The majority of studies analyzed found a link between higher neuroticism and increased HCU. Conclusion: Personality factors, and particularly neuroticism, are associated with HCU. This knowledge is important to manage healthcare use. However, future research based on longitudinal data and studies investigating the link between personality characteristics and costs are required.
Morphological asymmetry, sex and dominant somatotype among Polish youth

The aim of the present study was to determine the level of morphological asymmetry among the general population of Polish youth as it correlates to sex and body type. The anthropometric characteristics of a group of 618 Polish youths (354 males aged 19.5 ± 1.2 years and 264 females aged 19.2 ± 1.2 years) were evaluated to assess their somatotypes using the Heath–Carter method. Body composition was calculated using the bioelectrical impedance method, and the absolute asymmetry index was used for comparisons between the right and left sides of the body. Significant differentiation was observed between all morphological characteristics (≤ 0.0001) and two body types (≤ 0.0001) among sexes. Females and males largely exhibited endomorphic and mesomorphic somatotypes, respectively. The findings demonstrated that dominant somatotype and sex both affect the level of fat mass asymmetry in the arms and legs. Furthermore, significant variations in the levels of asymmetry between sexes were observed in fat mass in both the arms and legs, with greater variation observed in the arms. In the case of muscle mass, no great differences were observed between men, women, or body types. This study provides new data on the morphological asymmetry of given body composition according to somatotype and sex. This study has potential medical implications, given that a large degree of inter-limb imbalance could be shown to have a negative effect on health; the findings of the present study would therefore be important for arriving at an understanding of how to prevent such imbalances, or to mitigate their negative effects.