University of Missouri

About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.

Social Capital and Homicide

Abstract: Despite recent theoretical attention to "social capital" and its impact on a range of public problems, including crime, few studies have evaluated the relationship between crime rates and levels of social capital across populations. That research gap is due, in part, to the absence of macro-level empirical indicators of social capital. In this article, we measure social capital as a latent construct with aggregated voting and organizational membership data, and survey data on social trust, and examine its relationship with homicide rates for a nationally representative sample of geographic areas. Structural equation models show that the construct of social capital has a significant direct effect on homicide rates, net of other structural covariates, and controlling for the reciprocal influence of homicide on social capital. Although social capital mediates little of the effect on homicide of levels of economic deprivation, it explains more than two-thirds of the effect of Southern regional location. The results indicate that depleted social capital contributes to high levels of homicide, and provide a promising basis for future research on the mechanisms linking social capital to crime at the macro level.

Effects of preexisiting beliefs, epistemological beliefs, and need for cognition on interpretation of controversial issues.

Abstract: This study examined the influence of people's beliefs about the certainty of knowledge, the strength of their beliefs about a controversial issue, and their tendency to enjoy effortful thinking on their interpretation of controversial information. Ninety-six undergraduates completed an epistemological beliefs questionnaire (M. Schommer, 1990), the Need for Cognition Scale (J. T. Cacioppo, R. E. Petty, & C. F. Kao, 1984), and indicated the degree to which they believed that HIV causes AIDS. They then read a text that presented two conflicting views regarding the HIV-AIDS relationship and wrote a concluding paragraph for the text. Regression analyses revealed that the less students believed in certain knowledge, the less extreme their initial beliefs, and the higher their need for cognition, the more likely they were to write conclusions that reflected the inconclusive nature of the mixed evidence they read.

Advancing Crop Transformation in the Era of Genome Editing

Abstract: Plant transformation has enabled fundamental insights into plant biology and revolutionized commercial agriculture. Unfortunately, for most crops, transformation and regeneration remain arduous even after more than thirty years of technological advances. Genome editing provides new opportunities to enhance crop productivity, but relies on genetic transformation and plant regeneration, which are bottlenecks in the process. Herein we review the state of plant transformation and point to innovations needed to enable genome editing in crops. Plant tissue culture methods need optimization and simplification for efficiency and minimize time in culture. Currently, specialized facilities exist for crop transformation. Single cell and robotic techniques should be developed for high throughput genomic screens. Utilization of plant genes involved in developmental reprogramming, wound response, and/or homologous recombination could boost recovery of transformed plants. Engineering universal Agrobacterium strains and recruitment of other microbes, such as Ensifer or Rhizobium, could facilitate delivery of DNA and proteins into plant cells. Synthetic biology should be employed for de novo design of transformation systems. Genome editing is a potential game-changer in crop genetics when plant transformation systems are optimized.

A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

Abstract: Blind hyperspectral unmixing (HU), also known as unsupervised HU, is one of the most prominent research topics in signal processing (SP) for hyperspectral remote sensing [1], [2]. Blind HU aims at identifying materials present in a captured scene, as well as their compositions, by using high spectral resolution of hyperspectral images. It is a blind source separation (BSS) problem from a SP viewpoint. Research on this topic started in the 1990s in geoscience and remote sensing [3]-[7], enabled by technological advances in hyperspectral sensing at the time. In recent years, blind HU has attracted much interest from other fields such as SP, machine learning, and optimization, and the subsequent cross-disciplinary research activities have made blind HU a vibrant topic. The resulting impact is not just on remote sensing - blind HU has provided a unique problem scenario that inspired researchers from different fields to devise novel blind SP methods. In fact, one may say that blind HU has established a new branch of BSS approaches not seen in classical BSS studies. In particular, the convex geometry concepts - discovered by early remote sensing researchers through empirical observations [3]-[7] and refined by later research - are elegant and very different from statistical independence-based BSS approaches established in the SP field. Moreover, the latest research on blind HU is rapidly adopting advanced techniques, such as those in sparse SP and optimization. The present development of blind HU seems to be converging to a point where the lines between remote sensing-originated ideas and advanced SP and optimization concepts are no longer clear, and insights from both sides would be used to establish better methods.

Ultrasmall nanoparticles induce ferroptosis in nutrient-deprived cancer cells and suppress tumour growth

Abstract: The design of cancer-targeting particles with precisely tuned physicochemical properties may enhance the delivery of therapeutics and access to pharmacological targets. However, a molecular-level understanding of the interactions driving the fate of nanomedicine in biological systems remains elusive. Here, we show that ultrasmall (<10 nm in diameter) poly(ethylene glycol)-coated silica nanoparticles, functionalized with melanoma-targeting peptides, can induce a form of programmed cell death known as ferroptosis in starved cancer cells and cancer-bearing mice. Tumour xenografts in mice intravenously injected with nanoparticles using a high-dose multiple injection scheme exhibit reduced growth or regression, in a manner that is reversed by the pharmacological inhibitor of ferroptosis, liproxstatin-1. These data demonstrate that ferroptosis can be targeted by ultrasmall silica nanoparticles and may have therapeutic potential. Starved cancer cells and xenograft tumours in mice treated with ultrasmall silica nanoparticles undergo ferroptosis — a form of programmed cell death.