Explore the vast range of titles available.

Understanding human use of public lands is essential for management of natural and cultural resources. However, compiling consistently reliable visitation data across large spatial and temporal scales and across different land managing entities is challenging. Cellular device locations have been demonstrated as a source to map human activity patterns and may offer a viable solution to overcome some of the challenges that traditional on-the-ground visitation counts face on public lands. Yet, large-scale applicability of human mobility data derived from cell phone device locations for estimating visitation counts to public lands remains unclear. This study aims to address this knowledge gap by examining the efficacy and limitations of using commercially available cellular data to estimate visitation to public lands. We used the United States’ National Park Service’s (NPS) 2018 and 2019 monthly visitor use counts as a ground-truth and developed visitation models using cellular device location-derived monthly visitor counts as a predictor variable. Other covariates, including park unit type, porousness, and park setting (i.e., urban vs. non-urban, iconic vs. local), were included in the model to examine the impact of park attributes on the relationship between NPS and cell phone-derived counts. We applied Pearson’s correlation and generalized linear mixed model with adjustment of month and accounting for potential clustering by the individual park units to evaluate the reliability of using cell data to estimate visitation counts. Of the 38 parks in our study, 20 parks had a correlation of greater than 0.8 between monthly NPS and cell data counts and 8 parks had a correlation of less than 0.5. Regression modeling showed that the cell data could explain a great amount of the variability (conditional R-squared = 0.96) of NPS counts. However, these relationships varied across parks, with better associations generally observed for iconic parks. While our study increased our confidence in using cell phone data to estimate visitation, we also became aware of some of the limitations and challenges which we present in the Discussion.

The diversification of effector function, driven by a co-evolutionary arms race, enables pathogens to establish compatible interactions with hosts. Structurally conserved plant pathogenesis-related PR-1 and PR-1-like (PR-1L) proteins are involved in plant defense and fungal virulence, respectively. It is unclear how fungal PR-1L counters plant defense. Here, we show that Ustilago maydis UmPR-1La and yeast ScPRY1, with conserved phenolic resistance functions, are Ser/Thr-rich region mediated cell-surface localization proteins. However, UmPR-1La has gained specialized activity in sensing phenolics and eliciting hyphal-like formation to guide fungal growth in plants. Additionally, U. maydis hijacks maize cathepsin B-like 3 (CatB3) to release functional CAPE-like peptides by cleaving UmPR-1La’s conserved CNYD motif, subverting plant CAPE-primed immunity and promoting fungal virulence. Surprisingly, CatB3 avoids cleavage of plant PR-1s, despite the presence of the same conserved CNYD motif. Our work highlights that UmPR-1La has acquired additional dual roles to suppress plant defense and sustain the infection process of fungal pathogens. Plant PR-1 proteins participate in defense responses against pathogens. Here, the authors show that PR-1-like proteins from the plant pathogenic fungus Ustilago maydis are important for virulence by detecting plant-derived phenolics and modulating plant PR-1-mediated defenses.

Urbanization increases risk for depression and other mental disorders. A growing body of research indicates the natural environment confers numerous psychological benefits including alleviation of mental distress. This study examined land cover types and landscape metrics in relation to mental health for 276 U.S. counties within metropolitan areas having a population of 1 million or more. County Health Rankings and Behavioral Risk and Factor Surveillance System (BRFSS) provided a measure of mental health. The 2011 National Land Cover Database (NLCD) provided data on green land cover types, from which seven landscape metrics were generated to characterize landscape patterns. Spearman’s rho correlation and stepwise logistic regression models, respectively, were employed to examine bivariate and multivariate relationships. Models were adjusted for county population and housing density, region, race, and income to account for potential confounding. Overall, individual measures of landscape patterns showed stronger associations with mental health than percent total cover alone. Greater edge contrast was associated with 3.81% lower odds of Frequent Mental Distress (FMD) (Adjusted Odd’s Ratio (AOR) = 0.9619, 95% CI = 0.9371, 0.9860). Shrubland cohesion was associated with greater odds of FMD (AOR = 1.0751, 95% CI = 1.0196, 1.1379). In addition, distance between shrubland cover was associated with greater odds of FMD (AOR = 1.0027, 95% CI = 1.0016, 1.0041). Although effect sizes were small, findings suggest different types of landscape characteristics may have different roles in improving mental health.

Hausel and Rodriguez-Villegas (2015, Astérisque 370, 113–156) recently observed that work of Göttsche, combined with a classical result of Erdös and Lehner on integer partitions, implies that the limiting Betti distribution for the Hilbert schemes $(\\mathbb {C}^{2})^{[n]}$ on $n$ points, as $n\\rightarrow +\\infty ,$ is a Gumbel distribution. In view of this example, they ask for further such Betti distributions. We answer this question for the quasihomogeneous Hilbert schemes $((\\mathbb {C}^{2})^{[n]})^{T_{\\alpha ,\\beta }}$ that are cut out by torus actions. We prove that their limiting distributions are also of Gumbel type. To obtain this result, we combine work of Buryak, Feigin, and Nakajima on these Hilbert schemes with our generalization of the result of Erdös and Lehner, which gives the distribution of the number of parts in partitions that are multiples of a fixed integer $A\\geq 2.$ Furthermore, if $p_{k}(A;n)$ denotes the number of partitions of $n$ with exactly $k$ parts that are multiples of $A$ , then we obtain the asymptotic $$ \\begin{align*} p_{k}(A,n)\\sim \\frac{24^{\\frac k2-\\frac14}(n-Ak)^{\\frac k2-\\frac34}}{\\sqrt2\\left(1-\\frac1A\\right)^{\\frac k2-\\frac14}k!A^{k+\\frac12}(2\\pi)^{k}}e^{2\\pi\\sqrt{\\frac1{6}\\left(1-\\frac1A\\right)(n-Ak)}}, \\end{align*} $$ a result which is of independent interest.

Rhizopus oryzae is a fungus used to ferment tempeh in Indonesia and is generally recognized as safe (GRAS) for human consumption by the USA FDA. We previously assessed the effect of a tempeh extract on cortisol levels in zebrafish but did not include behavioral studies. Here, we measured the GABA content in three strains of Rhizopus oryzae, two isolated by us (MHU 001 and MHU 002) and one purchased. We then investigated the effect of tempeh on cortisol and the gut microbiota in a zebrafish experimental model. GABA concentration was the highest in MHU 002 (9.712 ± 0.404 g kg−1) followed by our MHU 001 strain and the purchased one. The fish were divided into one control group fed a normal diet and three experimental groups fed soybean tempeh fermented with one of the three strains of Rhizopus oryzae. After two weeks, individual fish were subjected to unpredicted chronic stress using the novel tank diving test and the tank light–dark test. Next-generation sequencing was used to analyze gut microbial communities and RT-PCR to analyze the expression of BDNF (brain-derived neurotrophic factor) gene and of other genes involved in serotonin signaling/metabolism in gut and brain. Tempeh-fed zebrafish exhibited increased exploratory behavior (less stress) in both tank tests. They also had significantly reduced gut Proteobacteria (include E. coli) (51.90% vs. 84.97%) and significantly increased gut Actinobacteria (include Bifidobacterium spp.) (1.80% vs. 0.79%). The content of Bifidobacteriumadolescentis, a “psychobiotic”, increased ten-fold from 0.04% to 0.45%. Tempeh also increases BDNF levels in zebrafish brain. Rhizopus oryzae MHU 001 greatly improved the anti-stress effect of tempeh and microbiota composition in zebrafish gut.

Purpose To evaluate the survival outcomes of huge HCC (tumor size ≥ 10 cm) after surgical resection (SR) with or without neoadjuvant hepatic arterial infusion chemotherapy (HAIC). Patients and methods 119 huge HCC patients underwent SR in our Hospital (2010–2020). A new HAIC regimen (cisplatin, leucovorin, mitomycin-C and 5-FU infusion for 5 days plus 10 ml lipiodol microvascular embolization) was adopted as the neoadjuvant therapy in 25 patients. Treatment responses were evaluated based on mRECIST criteria. The objective response rate (ORR), disease free survival (DFS), recurrence survival (RS) and overall survival (OS) were compared between the SR-only and neoadjuvant HAIC groups. Results Of the 119 patients, 65 patients were Vp2, 9 patients were Vp3 and 4 patients were Vp4. In the subgroup analysis, neoadjuvant HAIC group revealed significantly more severe clinical status. Of the neoadjuvant HAIC patients, ORR was 66.7%. Postoperative tumor recurrence was noted in 75% and 58.3% of the SR and neoadjuvant groups, of them 56.5% and 20.8% developed in ≤ 12 months. The median DFS, RS and OS in each group were 10 vs. 41 months ( p  = 0.016), 36 vs. 91 months and 46 vs. 96 months, respectively. Subgroup analysis revealed no significant survival difference of the RS in both patient groups with tumor recurrence ≤ 12 months (17 vs. 14 months) or > 12 months/without recurrence (not reached vs. 113 months). Conclusion Our new regimen HAIC acted as an effective neoadjuvant therapy in reducing early recurrence rate and prolonged DFS of huge HCC after surgical resection.

Plants alert immune systems by recognizing the fungal pathogen cell wall component chitin via pattern recognition cell surface receptors. Successful fungal pathogens escape the perception by deacetylating chitin to chitosan, which is also necessary for fungal cell development and virulence. Pathogenic fungi convert chitin to chitosan to evade plant perception and disarm chitin-triggered immune responses. Whether plants have evolved factors to counteract this evasion mechanism remains obscure. Here, we decipher the mechanism underlying the antifungal activity of maize secretory mannose-binding c ysteine- r ich r eceptor-like s ecreted p rotein (CRRSP), antifungal protein 1 (AFP1). AFP1 binds to multiple sites on the surface of sporidial cells, filaments, and germinated spores of the biotrophic fungus Ustilago maydis . It inhibits cell growth and budding, as well as spore germination. AFP1 promiscuously interacts with most chitin deacetylases (CDAs) by recognizing the conserved NodB domain to interfere with the enzyme activity. Deletion of O -mannosyltransferase 4 decreases protein mannosylation, which correlates with reduced AFP1 binding and antifungal activity, suggesting that AFP1 interacts with mannosylated proteins to exhibit an inhibitory effect. AFP1 also has extended inhibitory activity against Saccharomyces cerevisiae ; however, AFP1 did not reduce binding to the double ΔΔ cda1,2 mutant, suggesting the targets of AFP1 have expanded to other cell surface glycoproteins, probably facilitated by its mannose-binding property. Increasing chitin levels by modulating the activity of cell surface glycoproteins is a universal feature of AFP1 interacting with a broad spectrum of fungi to inhibit their growth. IMPORTANCE Plants alert immune systems by recognizing the fungal pathogen cell wall component chitin via pattern recognition cell surface receptors. Successful fungal pathogens escape the perception by deacetylating chitin to chitosan, which is also necessary for fungal cell development and virulence. Targeting glycoproteins that are associated with regulating chitin metabolism and maintaining cell wall morphogenesis presents an effective strategy to combat fungal pathogens by simultaneously altering cell wall plasticity, activating chitin-triggered immunity, and impairing fungal viability. Our study provides molecular insights into a plant DUF26 domain-containing secretory protein in warding off a broad range of fungal pathogens by acting on more than one glycoprotein target.

Relationships between landscape patterns and ecological processes can vary with changing resolution. Many studies in ecosystem services and human health rely on spatial-dependent data, yet the effects of changes in spatial resolution on the linkages between landscape and human health are underexplored. This study seeks to address the research gap by exploring the relationships of green land cover and pattern metrics at 1 m, 10 m, and 30 m with life expectancy in the City of Baltimore, Maryland, USA. Spearman’s rho correlation and stepwise and hierarchical regression models were applied. Results showed that the effects of resolution change did not emerge for percent green land cover but were evident in other pattern metrics. Multivariate relationships showed that metrics at 1 m explained the most variability of the relationships between green land cover and life expectancy after controlling for potential confounding factors (adjusted R2 = 0.776, and 0.752 at 10 m and 0.747 at 30 m). Edge density of coarse vegetation was significantly associated with life expectancy at 1 m (adjusted odds ratio [AOR] = 1.012, 95%CI = 1.004–1.024, p < 0.01) and 10 m (AOR = 1.018, 95%CI = 1.009–1.027, p < 0.001) but not at 30 m. Euclidean distance of fine vegetation had a strong positive association with greater life expectancy at 1 m (AOR = 2.067, 95%CI = 1.185–4.072, p < 0.05) but not at 10 m and 30 m. These findings underscore the importance of acknowledging the effects of resolution on the interpretation of landscape-human health relationships and the need for caution when results are used in planning and management decisions.

Sofosbuvir (SOF)-based regimens achieve excellent efficacy and safety in the treatment of chronic hepatitis C (CHC) with various genotypes. There are few real-world instances of the use of SOF-based regimens to treat genotype 2 CHC. This study determines the effectiveness and safety of SOF/Ribavirn (RBV), SOF/Daclatasvir (DCV) and SOF/DCV/RBV in the treatment of genotype 2 CHC patients in Taiwan. Patients with genotype 2 CHC were treated for 12 weeks with SOF/RBV, SOF/DCV or SOF/DCV/RBV under the National Health Insurance reimbursement program in three hospitals in Taiwan. The sustained virological response at 12 weeks (SVR12) was determined. Adverse events were recorded for a safety analysis. A total of 467 genotype 2 CHC patients were enrolled from January to October 2018. One hundred and eleven patients (24%) had cirrhosis, including 10 patients (2.1%) with hepatic decompensation. Fifty-five patients (12%) had already experienced interferon-alpha/RBV treatment. Forty-two patients (9%) had a history of hepatocellular carcinoma (HCC) in the baseline. Three hundred and fifty-five patients received SOF/RBV, forty-seven patients received SOF/DCV and sixty-two patients received SOF/DCV/RBV. The SOF/DCV group featured a greater HCV viral load than the SOF/RBV or SOF/DCV/RBV groups. SVR12 was achieved in 94.6% of the SOF/RBV group, 95.7% of the SOF/DCV group and 96.8% of then SOF/DCV/RBV group (P = NS). Thirteen out of 352 patients (3.7%) in the SOF/RBV group, 1 out of 62 patients (1.6%) in the SOF/DCV/RBV group and 1 out of 47 patients (2.1%) in the SOF/DCV group developed virological failure. There are no differences in virological failure between the three groups (P = NS). Multi-variate analysis shows that history of HCC is an independent factor that is associated with the failure of treatment in the SOF/RBV group (odds ratio:4.905, 95% confidence interval (CI): 1.321-18.205, P = 0.017). Hemoglobin levels at 12 weeks are significantly lower in the SOF/RBV and the SOF/RBV/DCV group than in the SOF/DCV group (P<0.05). Serious adverse events (SAE) occurred in six patients (1.6%) in the SOF/RBV group and in one patient (1.6%) in the SOF/RBV/DCV group. No patients in the SOF/DCV group experienced SAE. SOF/RBV, SOF/DCV or SOF/DCV/RBV for 12 weeks all achieve very high SVR rates and are equally effective in the treatment of genotype 2 CHC patients in the real world in Taiwan. Patients in the SOF/RBV group who have a history of HCC exhibit a lower SVR rate.

Non-small cell lung cancer (NSCLC)-carrying specific epidermal growth factor receptor (EGFR) mutations can be effectively treated by a tyrosine kinase inhibitor such as gefitinib. However, the inevitable development of acquired resistance leads to the eventual failure of therapy. In this study, we show the combination effect of omega-3 fatty acid-enriched fish oil (FO) and selenium (Se) on reversing the acquired gefitinib-resistance of HCC827 NSCLC cells. The gefitinib-resistant subline HCC827GR possesses lowered proapoptotic CHOP (CCAAT/enhancer-binding protein homologous protein) and elevated cytoprotective GRP78 (glucose regulated protein of a 78 kDa molecular weight) endoplasmic reticulum (ER) stress response elements, and it has elevated β-catenin and cyclooxygenase-2 (COX-2) levels. Combining FO and Se counteracts the above features of HCC827GR cells, accompanied by the suppression of their raised epithelial-to-mesenchymal transition (EMT) and cancer stem markers, such as vimentin, AXL, N-cadherin, CD133, CD44, and ABCG2. Accordingly, an FO and Se combination augments the gefitinib-mediated growth inhibition and apoptosis of HCC827GR cells, along with the enhanced activation of caspase -3, -9, and ER stress-related caspase-4. Intriguingly, gefitinib further increases the elevated ABCG2 and cancer stem-like side population in HCC827GR cells, which can also be diminished by the FO and Se combination. The results suggest the potential of combining FO and Se in relieving the acquired resistance of NSCLC patients to targeted therapy.