89 research outputs found
Research on energy dissipation characteristics and coal burst tendency of fissured coal mass
Coal burst tendency is the natural property of whether coal rock mass can have coal burst, and the distribution of fissures has an important influence on it. In order to study the influence mechanism of the original coal fissures on the energy dissipation characteristics and coal burst tendency, the PFC2D numerical simulation method was used to conduct uniaxial compression tests on coal specimens with different fracture types. The results show that: ①With the increase of the inclination angle of the fissure, the compressive strength and elastic modulus of the macroscopic mechanical parameters show a trend of decreasing first and then increasing; when the inclination angle of the fissure is 30, both of them reach the minimum value. The relationship between the macro-mechanical parameters of different fracture types is: non-coplanar parallel double-fissure specimen < single-fissure specimen < co-planar discontinuous double-fissure specimen.②The variation law of elastic strain energy and total strain energy is similar to that of macroscopic mechanical parameters. The parallel and non-coplanar fracture specimens form an energy dissipation structure between the fissures, and the coplanar discontinuous double-fissure specimen forms an energy concentration area between the fissures, revealing the intrinsic reason for the relationship between the elastic energy of different fracture types. ③The coal burst tendency is analyzed from the two perspectives of the ability of coal and rock to store elastic energy and the ability to release elastic energy after failure, and two coal burst tendency indicators, elastic energy storage rate and elastic energy release rate, are proposed. ④With the increase of the fissure inclination angle, both the elastic energy storage rate and the elastic energy release rate showed a trend of first decreasing and then increasing; when the fissure inclination angle was 30, the two coal burst propensity indexes both achieved the minimum value. The relationship between the coal burst tendency of different fracture types is: non-coplanar parallel double-fissure specimen < single-fissure specimen < co-planar discontinuous double-fissure specimen. The distribution of fissures has a significant coal burst on the coal burst tendency of coal mass, and the factor of fissures should be considered in the evaluation of the coal burst tendency of coal and rock mass and the prevention and control of rock burst
Dietary inflammatory potential mediated gut microbiota and metabolite alterations in Crohn's disease:A fire-new perspective
Background & aims: Pro-inflammatory diet interacting with gut microbiome might trigger for Crohn's disease (CD). We aimed to investigate the relationship between dietary inflammatory potential and microflora/metabolites change and their link with CD. Methods: The dietary inflammatory potential was assessed using a dietary inflammatory index (DII) based on the Food Frequency Questionnaire from 150 new-onset CD patients and 285 healthy controls (HCs). We selected 41 CD patients and 89 HCs who had not received medication for metagenomic and targeted metabolomic sequencing to profile their gut microbial composition as well as fecal and serum metabolites. DII scores were classified into quartiles to investigate associations among different variables. Results: DII scores of CD patients were significantly higher than HCs (0.56 ± 1.20 vs 0.23 ± 1.02, p = 0.017). With adjustment for confounders, a higher DII score was significantly associated with higher risk of CD (OR: 1.420; 95% CI: 1.049, 1.923, p = 0.023). DII score also was positively correlated with disease activity (p = 0.001). Morganella morganii and Veillonella parvula were increased while Coprococcus eutactus was decreased in the pro-inflammatory diets group, as well as in CD. DII-related bacteria were associated with disease activity and inflammatory markers in CD patients. Among the metabolic change, pro-inflammatory diet induced metabolites change were largely involved in amino acid metabolic pathways that were also observed in CD. Conclusions: Pro-inflammatory diet might be associated with increased risk and disease activity of CD. Diet with high DII potentially involves in CD by mediating alterations in gut microbiota and metabolites
A real-world observation of antipsychotic effects on brain volumes and intrinsic brain activity in schizophrenia
Background: The confounding effects of antipsychotics that led to the inconsistencies of neuroimaging findings have long been the barriers to understanding the pathophysiology of schizophrenia (SZ). Although it is widely accepted that antipsychotics can alleviate psychotic symptoms during the early most acute phase, the longer-term effects of antipsychotics on the brain have been unclear. This study aims to look at the susceptibility of different imaging measures to longer-term medicated status through real-world observation.
Methods: We compared gray matter volume (GMV) with amplitude of low-frequency fluctuations (ALFFs) in 89 medicated-schizophrenia (med-SZ), 81 unmedicated-schizophrenia (unmed-SZ), and 235 healthy controls (HC), and the differences were explored for relationships between imaging modalities and clinical variables. We also analyzed age-related effects on GMV and ALFF values in the two patient groups (med-SZ and unmed-SZ).
Results: Med-SZ demonstrated less GMV in the prefrontal cortex, temporal lobe, cingulate gyri, and left insula than unmed-SZ and HC (
Conclusion: GMV loss appeared to be pronounced to longer-term antipsychotics, whereby imbalanced alterations in regional low-frequency fluctuations persisted unaffected by antipsychotic treatment. Our findings may help to understand the disease course of SZ and potentially identify a reliable neuroimaging feature for diagnosis
Connection between right-to-left shunt and photosensitivity: a community-based cross-sectional study
BackgroundHypersensitivity to light is a common symptom associated with dysfunction of the occipital region. Earlier studies also suggested that clinically significant right-to-left shunt (RLS) could increase occipital cortical excitability associated with the occurrence of migraine. The aim of this study was to investigate the relationship between RLS and photosensitivity.MethodsThis cross-sectional observational study included the residents aged 18–55 years living in the Mianzhu community between November 2021 and October 2022. Photosensitivity was evaluated using the Photosensitivity Assessment Questionnaire along with baseline clinical data through face-to-face interviews. After the interviews, contrast-transthoracic echocardiography (cTTE) was performed to detect RLS. Inverse probability weighting (IPW) was used to reduce selection bias. Photosensitivity score was compared between individuals with and without significant RLS using multivariable linear regression based on IPW.ResultsA total of 829 participants containing 759 healthy controls and 70 migraineurs were finally included in the analysis. Multivariable linear regression analysis showed that migraine (β = 0.422; 95% CI: 0.086–0.759; p = 0.014) and clinically significant RLS (β = 1.115; 95% CI: 0.760–1.470; p < 0.001) were related to higher photosensitivity score. Subgroup analysis revealed that clinically significant RLS had a positive effect on hypersensitivity to light in the healthy population (β = 0.763; 95% CI: 0.332–1.195; p < 0.001) or migraineurs (β = 1.459; 95% CI: 0.271–2.647; p = 0.010). There was also a significant interaction between RLS and migraine for the association with photophobia (pinteraction = 0.009).ConclusionRLS is associated with photosensitivity independently and might exacerbate photophobia in migraineurs. Future studies with RLS closure are needed to validate the findings.Trial registrationThis study was registered at the Chinese Clinical Trial Register, Natural Population Cohort Study of West China Hospital of Sichuan University, ID: ChiCTR1900024623, URL: https://www.chictr.org.cn/showproj.html?proj=40590
Senior ID Access Card Research Report
Final Project for INST710: User Experience Research Methods (Fall 2020).
University of Maryland, College Park.The Department of Parks and Recreation is seeking to increase both the number of sign-ups and participation of seniors in the M-NCPPC Senior ID program. This project supports the Department’s mission of assisting the physical, mental and social needs of Prince George’s County’s diverse and aging population through the Senior ID card.
The shift to an online environment has created some barriers for seniors to enroll and stay engaged with the activities and events offered through the M-NCPPC Senior ID program. For instance, seniors in Prince George’s County have different levels of access to and expertise with the technology required to participate in remote activities and events.
The Department of Parks and Recreation is also aiming to mitigate social isolation during these difficult times. Although Department staff periodically perform wellness check-ins with seniors, the number of activities and events has significantly reduced. In-person activities like walking groups, also have limited space due to social distancing measures or have been cancelled altogether. Nonetheless, some of the seniors interviewed expressed an interest in staying active by walking or participating in the Club 300 Walk Across America program offered by the Department.
Therefore, the Department of Parks and Recreation is looking for ways to keep seniors engaged by facilitating online sign-up for the Senior ID program and to hear from users about their needs and desires for the program.
The goal of this research is to understand how the Department can increase the number of Senior ID users by providing activities and services that meet the diverse needs of the Prince George’s County senior population. This research will identify barriers that prevent residents from signing up for a Senior ID and what opportunities exist to increase sign-ups. It will also highlight effective communication strategies to recruit new members and retain and increase participation in the Senior ID program. Finally, this research will explore how the Department can promote member socialization and connectivity in an online environment.Prince George’s Count
Genetic effects on gene expression across human tissues
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of diseas
Genetic effects on gene expression across human tissues
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease
Stroke genetics informs drug discovery and risk prediction across ancestries
Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries
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