1,524 research outputs found
There\u27s an app for that: the ways young adults access digital information
Despite the popular use of smartphones and mobile applications (apps) and their potential impacts in the near future, only scant academic attention has been paid to mobile apps, especially in respect to the gratifications sought from accessing digital information via apps. This exploratory study investigated the relationship between young adults and their use of mobile apps in accessing digital information, particularly in comparison to the current go-to digital information access device, Internet browsers. In addition, this study examined how levels of perceived privacy concern influence digital information use and how the use of digital information access modalities and the level of privacy concern interact in seeking digital information. To examine these relationships, this study conducted an online survey with 201 young adults, and the data were analyzed using a two-way mixed repeated analysis of variance (ANOVA). The independent variables in this analysis were digital access modality (Internet browsers and mobile apps) and perceived personal privacy (high and low). The dependent variable in this study was digital information use, measured in five frequent purposes of accessing digital information: information, communication, convenience, entertainment, and commercial/purchase. This study found significant main effects of digital access modality in using digital information. The results indicate that young adults are likely to use Internet browsers more than mobile apps for gratifying their purposes, except for a convenience purpose for which mobile apps were more likely used. However, the degree of perceived personal privacy was not found to be directly associated with the use of online information. Similarly, the interaction between digital information access modality and perceived privacy toward online information use was not significant across five purposes. In summary, the use of mobile apps was surprisingly large, and the gap between the two digital accessing modalities was not remotely distant. Based on this finding, it can be projected that mobile apps will become a primary device for young adults to access digital information in the near future. Regarding perceived privacy, before concluding the given results, more research should follow to gain a better understanding of the role of perceived privacy in digital information use
Does the Composition of Dissolved Organic Carbon (DOC) in Peatland Streams Reflect the DOC Leached from Vegetation, Litter and Soil?
No abstract available
Unforeseen Covid Impacts on Indianapolis Traffic
COVID has impacted traffic volumes, travel patterns, and even trip generation across our country. This session will explore COVID’s impact on Indianapolis traffic and how to address it. We’ll demonstrate how impacts differ in urban areas and depend on adjacent land use, adjusted work schedules, socio-economic forces, and transit access. We’ll compare Indianapolis to national trends and conclude with open discussions regarding future TIAs and the potential permanency of adjusted travel patterns
Dynamic Risk Factors and their Utilisation in Case Formulation: A New Conceptual Framework
The social pressure on policy makers and clinicians working with sexual offenders to reduce recidivism is extreme. A result of this pressure is the amount of research investigating risk-related features that has surged over the last few decades. Risk assessment has progressed from unstructured clinical judgement to development of risk factors that correlate with recidivism to predict levels of risk, and more recently, to forensic case formulation. This thesis concentrates on two key issues with forensic case formulation that has been largely neglected thus far. First, forensic case formulations rely heavily on the use of dynamic risk factors as causes of offending. The concern is that dynamic risk factors are composite constructs not causal mechanisms. Second, forensic case formulation models do not explain how to use an offender’s information and their risk factors to hypothesise about the cause of their offending leading to issues of reliability. To address these issues, the RECFM consists of five phases that guides clinicians on how to appropriately use forensic case formulation. The Risk Etiology Case Formulation Model (RECFM) aims to incorporate a reconceptualised version of dynamic risk factors using an Agency Model to identify the interaction of agent and context that causes offending behaviour. By using the RECFM, treatment can be targeted to the individual and their specific causes of offending, which will lead to better results in reducing recidivism. The aim of this thesis is to provide a forensic case formulation model is comprehensible for clinicians and that targets the causes of offending
Happiness Index: A Neural Network Model of American Cities\u27 Happiness
This study uses the World Happiness Index and WalletHub’s rankings of US cities’ happiness levels as a benchmark and comparison of demographic, statistical, and economic data. From this, a Happiness Index will be created to decide which major American metropolitan city is happiest, along with the creation of a numerical ranking. This data will be used to analyze the most important factors that contribute to the overall happiness rating. The information gathered will then be used to rank major cities- Chicago, Houston, Los Angeles, and New York- from different regions of the United States based on the happiness of their inhabitants
Does the Composition of Dissolved Organic Carbon (DOC) in Peatland Streams Reflect the DOC Leached from Vegetation, Litter and Soil?
No abstract available
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Impact of educational attainment on time to cognitive decline among marginalized older adults: Cohort study of 20,311 adults.
BACKGROUND: The effect of years of education on the maintenance of healthy cognitive functioning may differ by race and ethnicity given historical and ongoing inequities in educational quality. METHODS: We examined 20,311 Black, Latinx, and White adults aged 51-100 from the Health and Retirement Study (2008-2016). Telephone Interview for Cognitive Status-27 data was used to measure cognitive functioning. Generalized additive mixed models were stratified by race and ethnicity and educational attainment (≥12 vs. <12 years). Selected social determinants of health, all-cause mortality, time-varying health and healthcare utilization characteristics, and study wave were included as covariates. RESULTS: On average, Black and Latinx adults scored lower at baseline compared to White adults regardless of educational attainment (p < 0.001), with a significant overlap in the distributions of scores. The rate of cognitive decline was non-linear for Black, Latinx, and White adults (p < 0.001), and a period of stability was witnessed for those with higher educational attainment irrespective of race and ethnicity. Compared to Black, Latinx, and White adults with lower educational attainment, higher-educated White adults received the greatest protection from cognitive decline (13 years; 64 vs. 51), followed by Latinx (12 years; 67 vs. 55), and Black adults (10 years; 61 vs. 51). Latinx adults experienced cognitive decline beginning at a later age. CONCLUSIONS: The extent to which higher educational attainment protects adults from cognitive decline differs by race and ethnicity, such that higher-educated White adults received a greater benefit than higher-educated Black or Latinx adults
Medically relevant Acinetobacter species require a type II secretion system and specific membrane-associated chaperones for the export of multiple substrates and full virulence
Acinetobacter baumannii, A. nosocomialis, and A. pittii have recently emerged as opportunistic human pathogens capable of causing severe human disease; however, the molecular mechanisms employed by Acinetobacter to cause disease remain poorly understood. Many pathogenic members of the genus Acinetobacter contain genes predicted to encode proteins required for the biogenesis of a type II secretion system (T2SS), which have been shown to mediate virulence in many Gram-negative organisms. Here we demonstrate that Acinetobacter nosocomialis strain M2 produces a functional T2SS, which is required for full virulence in both the Galleria mellonella and murine pulmonary infection models. Importantly, this is the first bona fide secretion system shown to be required for virulence in Acinetobacter. Using bioinformatics, proteomics, and mutational analyses, we show that Acinetobacter employs its T2SS to export multiple substrates, including the lipases LipA and LipH as well as the protease CpaA. Furthermore, the Acinetobacter T2SS, which is found scattered amongst five distinct loci, does not contain a dedicated pseudopilin peptidase, but instead relies on the type IV prepilin peptidase, reinforcing the common ancestry of these two systems. Lastly, two of the three secreted proteins characterized in this study require specific chaperones for secretion. These chaperones contain an N-terminal transmembrane domain, are encoded adjacently to their cognate effector, and their disruption abolishes type II secretion of their cognate effector. Bioinformatic analysis identified putative chaperones located adjacent to multiple previously known type II effectors from several Gram-negative bacteria, which suggests that T2SS chaperones constitute a separate class of membrane-associated chaperones mediating type II secretion
Detection of microplastics in human saphenous vein tissue using FTIR: a pilot study
Microplastics (MPs) are ubiquitous in the environment, in the human food chain, and have been recently detected in blood and lung tissues. To undertake a pilot analysis of MP contamination in human vein tissue samples with respect to their presence (if any), levels, and characteristics of any particles identified. This study analysed digested human saphenous vein tissue samples (n = 5) using μFTIR spectroscopy (size limitation of 5 m) to detect and characterise any MPs present. In total, 20 MP particles consisting of five MP polymer types were identified within 4 of the 5 vein tissue samples with an unadjusted average of 29.28 ± 34.88 MP/g of tissue (expressed as 14.99 ± 17.18 MP/g after background subtraction adjustments). Of the MPs detected in vein samples, five polymer types were identified, of irregular shape (90%), with alkyd resin (45%), poly (vinyl propionate/acetate, PVAc (20%) and nylon-ethylene-vinyl acetate, nylon-EVA, tie layer (20%) the most abundant. While the MP levels within tissue samples were not significantly different than those identified within procedural blanks (which represent airborne contamination at time of sampling), they were comprised of different plastic polymer types. The blanks comprised n = 13 MP particles of four MP polymer types with the most abundant being polytetrafluoroethylene (PTFE), then polypropylene (PP), polyethylene terephthalate (PET) and polyfumaronitrile:styrene (FNS), with a mean ± SD of 10.4 ± 9.21, p = 0.293. This study reports the highest level of contamination control and reports unadjusted values alongside different contamination adjustment techniques. This is the first evidence of MP contamination of human vascular tissues. These results support the phenomenon of transport of MPs within human tissues, specifically blood vessels, and this characterisation of types and levels can now inform realistic conditions for laboratory exposure experiments, with the aim of determining vascular health impacts
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