Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of different intensities of long-term grazing on plant diversity, biomass and carbon stock in alpine shrubland on the Qinghai-Tibetan Plateau

Grazing is the main grassland management strategy applied in alpine shrubland ecosystems on the Qinghai-Tibetan Plateau. However, how different intensities of long-term grazing affect plant diversity, biomass accumulation and carbon (C) stock in these ecosystems is poorly understood. In this study, alpine shrubland with different long-term (more than 30 years) grazing intensities (excluded from grazing for 5 years (EX), light grazing (LG), moderate grazing (MG) and heavy grazing (HG)) on the Qinghai-Tibetan Plateau were selected to study changes in plant diversity, aboveground biomass and C accumulation, as well as distribution of C stock among biomass components and soil depths. A structural equation model was used to illustrate the impact of grazing on the soil carbon stock (SOC). The results showed that the Shannon–Wiener diversity index and richness index of herbaceous plants, shrubs, and communities first significantly increased and then decreased with increasing grazing intensity, reaching maxima at the LG site. The aboveground and belowground and litter biomass of understory herbaceous plants, shrubs and communities decreased with increasing grazing intensity, reaching maxima at the EX site. The aboveground and belowground biomass C storage decreased with increasing grazing intensity, reaching maxima at the EX site. The SOC stock and total ecosystem C stock decreased with increasing grazing intensity, reaching maxima at the EX and LG sites. A structural equation model showed that grazing-induced changes in the belowground biomass of understory herbaceous plants greatly contributed to the SOC stock decrease. Thus, considering the utilization and renewal of grassland resources, as well as local economic benefits and ecological effects, LG may be a more rational grazing intensity for species diversity conservation and ecosystem C sequestration in alpine shrubland. Our results provide new insights for incorporating grazing intensity into shrub ecosystem C stock and optimizing grazing management and grassland ecosystem C management.
Dyadic Satisfaction and Shared Affectivity Are Associated with Psycho-Sexual Functioning in Elderly Men and Women

Objectives The quality of sexual life of elderly people represents an understudied topic of sexual medicine and of psycho-sexology. Hence, we aimed to evaluate the association of specific psycho-relational variables, such as intimacy, increased affective gestures towards a partner (AGtP), daily shared activities, and dyadic satisfaction, with the psychosexual wellbeing of elderly people, expressed in terms of sexual satisfaction. Methods: A cohort of elderly people was selected from a sample of a broader study evaluating the role of sexual activity in protecting the emotional wellbeing of a population subjected to quarantine due to the COVID-19 pandemic. Specifically, the presence of sexual dysfunctions, the emotional wellbeing (i.e., absence of anxiety and/or depression), and the quality of the partners’ relationships were studied. For the study’s purpose, the Sexual Health Inventory for Males (SHIM), the Female Sexual Function Index (FSFI), the Orgasmometer and the Orgasmometer-F, the Generalized Anxiety Disorder scale (GAD-7), the Patient Health Questionnaire (PHQ-9), and the Dyadic Adjustment Scale were adopted. Results: A group of 124 elderly subjects (≥60) was selected for the study’s purposes. Among these, 84% were males (120/124), and 16% were females (20/124). All the subjects declared to be in a stable relationship and to be sexually active during the first lockdown period. Gender differences were found for the Dyadic Satisfaction subscale (males: 37.04 ± 6.57; females: 32.85 ± 10.04; p < 0.05) and the Orgasmometer (males: 7.64 ± 1.30; females: 6.60 ± 2.46; p < 0.01). Linear regression analysis showed the association between higher Orgasmometer scores and: (i) the absence of sexual dysfunctions (β = −1.213; SE = 0.271; p < 0.0001), (ii) higher dyadic satisfaction (β = 0.042; SE = 0.019; p < 0.05), and (iii) reduced shared activities with partner (β = −0.463; SE = 0.143; p < 0.01) and increased affective gestures towards partner (DAS measured AGtP) (β = 0.595; SE = 0.065; p < 0.0001). Post hoc analysis of ANCOVA with the Bonferroni correction method showed a significant difference in the Orgasmometer scores between subjects with and without sexual dysfunction (mean difference: 2.102; SE = 0.340; pBonf < 0.001), with healthy subjects reporting higher scores compared to dysfunctional ones. Conclusions: It is reasonable to suppose that, beyond the presence of sexual dysfunctions, the sexual health of elderly people may benefit from the quality of the relationship, and, specifically, from the presence of affective gestures towards the partner and the dyadic satisfaction. To the contrary, the quantity of time spent together, sharing specific activities, may be considered a factor worsening relational and sexual health. These data should be considered during the evaluation of sexual health among elderly people.
Group IV Getah Virus in Culex Mosquitoes, Malaysia

A new Getah virus (GETV) strain, B254, was isolated from Culex fuscocephalus mosquitoes captured at Mount Ophir, Malaysia, in 2012. Phylogenetic analyses revealed that GETV B254 is distinct from the old Malaysia GETV MM2021 strain but closely related to group IV GETV from Russia (LEIV16275Mag), China (YN12031), and Thailand (GETV/SW/Thailand/2017).
Impact of the Plastein Reaction of Casein Hydrolysates in the Presence of Exogenous Amino Acids on Their Anti-Inflammatory Effect in the Lipopolysaccharide-Stimulated Macrophages

In this study, papain-generated casein hydrolysates (CH) with a degree of hydrolysis of 13.7% were subjected to a papain-mediated plastein reaction in the absence or presence of one of the exogenous amino acids—Gly, Pro, and Hyp—to prepare four plastein modifiers, or mixed with one of three amino acids to prepare three mixtures. The assay results confirmed that the reaction reduced free NH2 for the modifiers and caused amino acid incorporation and peptide condensation. When RAW264.7 macrophages were exposed to the CH, modifiers, and mixtures, these samples promoted macrophage growth and phagocytosis in a dose-dependent manner. In addition, the CH shared similar activity in the cells as the mixtures, while the modifiers (especially the PCH-Hyp prepared with Hyp addition) exerted higher potential than CH, the mixtures, and PCH (the modifier prepared without amino acid addition). The plastein reaction thus enhanced CH bioactivity in the cells. When RAW264.7 macrophages were stimulated with lipopolysaccharide (LPS), the inflammatory cells produced more lactate dehydrogenase (LDH) release and reactive oxygen species (ROS) formation, and caused more four inflammatory mediators (NO, PGE2, TNF-α, and IL-6) and two anti-inflammatory mediators (TGF-β1 and IL-10). However, the PCH-Hyp, PCH, and CH at dose levels of 100 μg/mL could combat against the LPS-induced inflammation. Overall, the PCH-Hyp was more active than the CH and PCH in reducing LDH release, ROS formation, and the secretion of these inflammatory mediators, or in increasing the secretion of the anti-inflammatory mediators. The qPCR and Western blot analysis results further confirmed that these samples had anti-inflammatory effects on the stimulated cells by suppressing the LPS-induced activation of the NF-κB signaling pathway, via regulating the mRNA/miRNA expression of iNOS, IL-6, TNF-α, IL-1β, COX-2, TLR4, IL-10, TGF-β1, miR-181a, miR-30d, miR-155, and miR-148, as well as the protein expression of MyD88, p-IKKα, p-IκBα, p-NF-κB p65, and iNOS, involved in this signaling pathway. In addition, the immunofluorescence assay results revealed that these samples could block the LPS-mediated nuclear translocation of the p65 protein and displayed the same function as the NF-κB inhibitor BAY 11-7082. It was concluded that CH could be endowed with higher anti-inflammatory activity to the macrophages by performing a plastein reaction, particularly that in the presence of exogenous Hyp.
Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric observations

Abstract. We quantify methane emissions and their 2010–2017 trends by sector in the contiguous United States (CONUS), Canada, and Mexico by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric methane observations. The inversion uses as a prior estimate the national anthropogenic emission inventories for the three countries reported by the US Environmental Protection Agency (EPA), Environment and Climate Change Canada (ECCC), and the Instituto Nacional de Ecología y Cambio Climático (INECC) in Mexico to the United Nations Framework Convention on Climate Change (UNFCCC) and thus serves as an evaluation of these inventories in terms of their magnitudes and trends. Emissions are optimized with a Gaussian mixture model (GMM) at 0.5∘×0.625∘ resolution and for individual years. Optimization is done analytically using lognormal error forms. This yields closed-form statistics of error covariances and information content on the posterior (optimized) estimates, allows better representation of the high tail of the emission distribution, and enables construction of a large ensemble of inverse solutions using different observations and assumptions. We find that GOSAT and in situ observations are largely consistent and complementary in the optimization of methane emissions for North America. Mean 2010–2017 anthropogenic emissions from our base GOSAT + in situ inversion, with ranges from the inversion ensemble, are 36.9 (32.5–37.8) Tg a−1 for CONUS, 5.3 (3.6–5.7) Tg a−1 for Canada, and 6.0 (4.7–6.1) Tg a−1 for Mexico. These are higher than the most recent reported national inventories of 26.0 Tg a−1 for the US (EPA), 4.0 Tg a−1 for Canada (ECCC), and 5.0 Tg a−1 for Mexico (INECC). The correction in all three countries is largely driven by a factor of 2 underestimate in emissions from the oil sector with major contributions from the south-central US, western Canada, and southeastern Mexico. Total CONUS anthropogenic emissions in our inversion peak in 2014, in contrast to the EPA report of a steady decreasing trend over 2010–2017. This reflects offsetting effects of increasing emissions from the oil and landfill sectors, decreasing emissions from the gas sector, and flat emissions from the livestock and coal sectors. We find decreasing trends in Canadian and Mexican anthropogenic methane emissions over the 2010–2017 period, mainly driven by oil and gas emissions. Our best estimates of mean 2010–2017 wetland emissions are 8.4 (6.4–10.6) Tg a−1 for CONUS, 9.9 (7.8–12.0) Tg a−1 for Canada, and 0.6 (0.4–0.6) Tg a−1 for Mexico. Wetland emissions in CONUS show an increasing trend of +2.6 (+1.7 to +3.8)% a−1 over 2010–2017 correlated with precipitation.
Attitudes towards infopreneurship among information science students at a higher education institution

This study aimed to explore the attitudes of students of a higher education institution towards infopreneurship. The study emanated from observations that the widespread use of information technologies has created a new sector in the labor market – infopreneurship. The study adopted the case study research design based on focus group discussions to establish the students’ attitudes towards infopreneurship. The participants for the focus groups were students of the Information Science department at the University of Technology, Cape Town. Data collection during the focus group discussions was based on unstructured interviews. Quantitative data analysis was applied based on data reduction from codes to categories. An enterprising attitude (26.4% code frequency) dominated the positive responses while negative attitudes were mainly reflected by a critical attitude (20.8% code frequency) towards infopreneurship. While it appeared that positive attitudes were more prevalent than negative attitudes, there were notable observations that the respondents were critical or neutral towards the essence of infopreneurship in the South African context. It was found that the belief that infopreneurship is not a viable form of employment was still prevalent. Some respondents believed that employment means working for someone. They felt that there is greater respect in being employed than engaging in infopreneurship. Some respondents, however, appear to have stronger entrepreneurial orientations and felt that infopreneurship offers the best employment opportunities. The study recommends changes in higher education curricula and the creation of a stimulating environment for infopreneurship.
Targeting Ovarian Cancer with IL-2 Cytokine/Antibody Complexes: A Summary and Recent Advances

Yilun Deng1, Ryan M Reyes2,3, Chenghao Zhang1,4, José Conejo-Garcia5, Tyler J. Curiel1,2,3,6* 1Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA 2South Texas Medical Scientist Training Program, University of Texas Health San Antonio, San Antonio, TX, USA 3Mays Family Cancer Center, University of Texas Health San Antonio, San Antonio, TX, USA 4Xiangya Medical School, Central South University, Changsha, Hunan, China 5H. Lee Moffitt Cancer Research Institute, Department of Immunology, Tampa, FL, USA 6Graduate School of Biomedical Sciences, University of Texas Health San Antonio, San Antonio, TX, USA
Spectrometric Prediction of Nitrogen Content in Different Tissues of Slash Pine Trees

The internal cycling of nitrogen (N) storage and consumption in trees is an important physiological mechanism associated with tree growth. Here, we examined the capability of near-infrared spectroscopy (NIR) to quantify the N concentration across tissue types (needle, trunk, branch, and root) without time and cost-consuming. The NIR spectral data of different tissues from slash pine trees were collected, and the N concentration in each tissue was determined using standard analytical method in laboratory. Partial least squares regression (PLSR) models were performed on a set of training data randomly selected. The full-length spectra and the significant multivariate correlation (sMC) variable selected spectra were used for model calibration. Branch, needle, and trunk PLSR models performed well for the N concentration using both full length and sMC selected NIR spectra. The generic model preformatted a reliable accuracy with R2C and R2CV of 0.62 and 0.66 using the full-length spectra, and 0.61 and 0.65 using sMC-selected spectra, respectively. Individual tissue models did not perform well when being used in other tissues. Five significantly important regions, i.e., 1480, 1650, 1744, 2170, and 2390 nm, were found highly related to the N content in plant tissues. This study evaluates a rapid and efficient method for the estimation of N content in different tissues that can help to serve as a tool for tree N storage and recompilation study.
Cerebral White Matter Mediation of Age-Related Differences in Picture Naming Across Adulthood

Abstract As people age, one of the most common complaints is difficulty with word retrieval. A wealth of behavioral research confirms such age-related language production deficits, yet the structural neural differences that relate to age-related language production deficits remains an open area of exploration. Therefore, the present study used a large sample of healthy adults across adulthood to investigate how age-related white matter differences in three key left-hemisphere language tracts may contribute to age-related differences in language ability. Specifically, we used diffusion tensor imaging to measure fractional anisotropy (FA) and radial diffusivity (RD) which are indicators of white matter structure. We then used a series of path models to test whether white matter from the superior longitudinal fasciculus (SLF), the inferior longitudinal fasciculus, and the frontal aslant tract (FAT) mediated age-related differences in one form of language production, picture naming. We found that FA, as well as RD from the SLF and FAT mediated the relation between age and picture naming performance, whereas a control tract (corticospinal) was not a mediator. Moreover, differences between mediation of picture naming and a control naming condition suggest that left SLF has a greater role in higher-order aspects of naming, such as semantic and lexical selection whereas left FAT is more sensitive to sensorimotor aspects of fluency or speech motor planning. These results suggest that dorsal white matter contributes to age-related differences in generating speech and may be particularly important in supporting word retrieval across adulthood.
The relationship between behavioral problems and screen time in children during COVID-19 school closures in Japan

Abstract Background and objectives Studies have shown that COVID-19 school closures negatively impacted children’s well-being. We assessed the impact of school closures on children in Japan. We postulated that screen time and sleep habits during school closure would be associated with children’s mental health status. Methods A cross-sectional study was conducted with 959 children in four public elementary schools. Parents completed an original questionnaire in which we enquired about children’s behavioral problems, screen time (duration of watching TV/videos and duration of playing video games), sleep habits, and bodyweight change during school closure. Logistic regression analyses were performed to investigate the relationships between behavioral problems, bodyweight gain, and screen time. Results It was found that 50.3% of children exhibited some behavioral problems during school closure; fewer children exhibited such problems after schools reopened. Moreover, children’s behavioral problems during school closure were associated with longer total screen time (odds ratio [OR]: 1.2, 95% confidence interval [CI]: 1.14–1.28, p < .001). Sleep habits were not different between children with behavioral problems and those without. Of the children, 16.7% experienced bodyweight gain during school closure, which was associated with behavioral problems (OR: 2.0, 95% CI: 1.43–2.92, p < .001) and time spent watching TV/videos (OR: 1.2, 95% CI: 1.08–1.28, p < .001) during closure. Conclusions COVID-19 school closure negatively impacted school children physically and psychologically. Screen time was associated with both physical and mental health status. Therefore, children should not engage in arbitrary screen time during school closures and should be supported in their daily routines.
Effects of Repeated Heating on Fatty Acid Composition of Plant-Based Cooking Oils

Several polyunsaturated fatty acids are considered to have beneficial health effects, while saturated fatty acids and industrial trans fatty acids (TFAs) are linked to negative health consequences. Given the increased formation of TFAs during heating, many studies already investigated compositional changes in oils after prolonged heating or at extremely high temperatures. In contrast, our aim was to measure changes in fatty acid composition and in some health-related indices in edible oils after short-time heating that resembles the conventional household use. Potatoes were fried in palm, rapeseed, soybean, sunflower and extra virgin olive oils at 180 °C for 5 min, and samples were collected from fresh oils and after 1, 5 and 10 consecutive heating sequences. Regardless of the type of oil, the highest linoleic acid and alpha-linolenic acid values were measured in the fresh samples, whereas significantly lower values were detected in almost all samples following the heating sequences. In contrast, the lowest levels of TFAs were detected in the fresh oils, while their values significantly increased in almost all samples during heating. Indices of atherogenicity and thrombogenicity were also significantly higher in these oils after heating. The present data indicate that prolonged or repeated heating of vegetable oils should be avoided; however, the type of oil has a greater effect on the changes of health-related indices than the number of heating sequences.
Understanding the Experience of Service Users in an Integrated Care Programme for Obesity and Mental Health: A Qualitative Investigation of Total Wellbeing Luton

Obesity is a complex public health issue with multiple contributing factors. The emphasis on joined care has led to the development and implementation of a number of integrated care interventions targeting obesity and mental health. The purpose of this study was to examine user experience in an integrated care programme for obesity and mental health in Luton, UK. Semi-structured interviews were conducted with a purposeful sample of service users (N = 14). Interview transcripts were analysed using thematic analysis. Analysis of the interviews identified six main themes for understanding service users’ experiences of integrated care: (1) ‘A user-centered system’, (2) ‘Supports behaviour change’, (3) ‘Valued social support’, (4) ‘Communication is key’, (5) ‘Flexible referral process’, and (6) ‘Positive impact on life’. These themes describe how the service is operated, evidence perceived value service users place on social support in behavior change intervention, and address which service areas work well and which require improvement. The findings of these interviews have offered a significant contribution to understanding what service users value the most in an integrated healthcare setting. Service users value ongoing support and being listened to by healthcare professionals, as well as the camaraderie and knowledge acquisition to support their own behaviour change and promote self-regulation following their participation in the programme.
Identifying Relations Between Deep Convection and the Large‐Scale Atmosphere Using Explainable Artificial Intelligence

Deep moist convection is responsible for a large fraction of rainfall in the tropics, but the interaction between deep convection and the large‐scale atmosphere remains poorly understood. Here, we apply machine learning techniques to examine relationships between the large‐scale state of the atmosphere and two measures of its convective state derived from radar observations in northern Australia: the total area occupied by deep convection and the degree of deep convective organization. Specifically, we use a neural net to predict convective area and convective organization as a function the large‐scale state, defined as the thermodynamic and dynamic properties of the atmosphere averaged over the radar domain. Building on research into explainable artificial intelligence, we apply so‐called “attribution methods” to quantify the most important large‐scale quantities determining these predictions. We find that the large‐scale vertical velocity is the most important contributor to the prediction of both convective measures, but for convective area, its absolute and relative influence are increased. Thermodynamic quantities like atmospheric moisture also contribute to the prediction of convective area, but they are found to be unimportant for convective organization. Instead, the horizontal wind field appears to be more relevant for the prediction of convective organization. The results highlight unique aspects of the large‐scale state that are associated with organized convection.