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Microwave ablation of primary breast cancer inhibits metastatic progression in model mice via activation of natural killer cells




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The genetics of macrophage activation syndrome




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Evaluation of glucocorticoid-induced TNF receptor (GITR) expression in breast cancer and across multiple tumor types




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Mucinous carcinoma with micropapillary features is morphologically, clinically and genetically distinct from pure mucinous carcinoma of breast




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Statin therapy is associated with lower prevalence of gut microbiota dysbiosis




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Statin drugs might boost healthy gut microbes




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Breaking through the glioblastoma micro-environment via extracellular vesicles




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Effects of chronic type 5 phosphodiesterase inhibition on penile microvascular reactivity in hypertensive patients with erectile dysfunction: a randomized crossover placebo-controlled trial




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Asymmetry across the membrane




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Author Correction: A structural model for microtubule minus-end recognition and protection by CAMSAP proteins




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Electrolytes for microsized silicon




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Single cell and tissue-transcriptomic analysis of murine bladders reveals age- and TNFα-dependent but microbiota-independent tertiary lymphoid tissue formation




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Nature Microbiology




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Global Warming Linked to Higher Suicide Rates across North America

A 1 degree Celsius rise corresponded to a 1.4 percent increase in suicides




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Author Correction: Genetic circuit design automation for the gut resident species <i>Bacteroides thetaiotaomicron</i>




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Effect of simulated microgravity on the antidiabetic properties of wheatgrass (<i>Triticum aestivum</i>) in streptozotocin-induced diabetic rats

npj Microgravity, Published online: 24 February 2020; doi:10.1038/s41526-020-0096-x

Effect of simulated microgravity on the antidiabetic properties of wheatgrass (Triticum aestivum) in streptozotocin-induced diabetic rats




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Growth of microorganisms in an interfacially driven space bioreactor analog

npj Microgravity, Published online: 08 April 2020; doi:10.1038/s41526-020-0101-4

Growth of microorganisms in an interfacially driven space bioreactor analog




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Author Correction: Guidance for quantitative confocal microscopy




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MicroRNA let-7c (MIRLET7C; let-7c), miR-99a and miR-125b as prognostic markers of luminal breast cancer

Studies in patient samples and cell culture suggest let-7c, miR-99a and miR-125b could serve as prognostic markers in patients with estrogen receptor–positive luminal breast cancers.




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Tumor-selective delivery of antisense oligomers (antimiRs) against oncogenic microRNAs

miRNA-targeted antimiRs conjugated to a peptide with a low pH–induced transmembrane structure (pHLIP) could help treat solid tumors.




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Tissue-resident ductal macrophages survey the mammary epithelium and facilitate tissue remodelling




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MicroRNA binding site polymorphism in inflammatory genes associated with colorectal cancer: literature review and bioinformatics analysis




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Microbiota and colorectal cancer: colibactin makes its mark




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Colons or semi-colons: punctuating the regional variation of intestinal microbial–immune interactions




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Correction: Ketamine metabolites, clinical response, and gamma power in a randomized, placebo-controlled, crossover trial for treatment-resistant major depression




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Δ<sup>9</sup>-Tetrahydrocannabinol (THC) impairs visual working memory performance: a randomized crossover trial




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Nuclear receptor crosstalk — defining the mechanisms for therapeutic innovation




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Author Correction: Vitamin lipid nanoparticles enable adoptive macrophage transfer for the treatment of multidrug-resistant bacterial sepsis




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Development of a skin temperature map for dermatomes in individuals with spinal cord injury: a cross-sectional study




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Surgeon’s protection during ophthalmic surgery in the Covid-19 era: a novel fitted drape for ophthalmic operating microscopes




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Mitigating osteonecrosis of the jaw (ONJ) through preventive dental care and understanding of risk factors




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Analyses of breakpoint junctions of complex genomic rearrangements comprising multiple consecutive microdeletions by nanopore sequencing




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The U.S.-China Relationship is at a Crossroads

Joseph Nye writes that some decoupling of interdependence is likely, particularly in areas related to technology that directly affect national security. But will Washington and Beijing go too far?




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Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




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Implication of gut microbiota in the association between infant antibiotic exposure and childhood obesity and adiposity accumulation




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Predictors of weight loss after bariatric surgery—a cross-disciplinary approach combining physiological, social, and psychological measures




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Active travelling to school is not associated with increased total daily physical activity levels, or reduced obesity and cardiovascular/pulmonary health parameters in 10–12-year olds: a cross-sectional cohort study




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Structure of the cytoplasmic ring of the <i>Xenopus laevis</i> nuclear pore complex by cryo-electron microscopy single particle analysis




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The National Microbiome Data Collaborative: enabling microbiome science




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A clearer picture of microbial biogeography




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Nature Reviews Microbiology




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Browser testing across devices with Adobe Edge Inspect

Discover how to test your websites and web apps in the browser across desktops and mobile devices using Adobe Edge Inspect.




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The U.S.-China Relationship is at a Crossroads

Joseph Nye writes that some decoupling of interdependence is likely, particularly in areas related to technology that directly affect national security. But will Washington and Beijing go too far?




cro

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.




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Micro-Multilateralism and the Impact of Urban Diplomacy on Global Diplomacy

Director of the Project on Europe and the Transatlantic Relationship and the Future of Diplomacy Project, Cathryn Clüver Ashbrook speaks to WDR 5 on micro-multilateralism and the impact of urban diplomacy global diplomacy, particularly on climate change.




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Webinar: Jihadism at a crossroads

Although jihadist groups have gripped the world’s attention for more than 20 years, today they are no longer in the spotlight. However, ISIS, al-Qaida, and al-Shabab remain active, and new groups have emerged. The movement as a whole is evolving, as is the threat it poses. On May 29, the Center for Middle East Policy…

       




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Can crowdsourcing be ethical?


In the course of my graduate work at Harvard University, I paid hundreds of Americans living in poverty the equivalent of about $2 an hour. It was perfectly legal for me to do so, and my research had the approval of my university’s ethics board. I was not alone, or even unusual, in basing Ivy League research on less-than-Walmart wages; literally thousands of academic research projects pay the same substandard rates. Social scientists cannot pretend that the system is anything but exploitative. It is time for meaningful reform of crowdsourced research.

This is what crowdsourced research looks like. I posted a survey using Mechanical Turk (MTurk), a website run by Amazon.com. Across the country, hundreds of MTurk workers (“turkers”) agreed to fill out the survey in exchange for about 20 cents apiece, and within a few days I had my survey results. The process was easy, and above all, cheap. No wonder it is increasingly popular with academics; a search on Google Scholar returns thousands of academic papers citing MTurk, increasing from 173 in 2008 to 5,490 in 2014.

Mechanical Turk is a bargain for researchers, but not for workers. A survey typically takes a couple minutes per person, so the hourly rate is very low. This might be acceptable if all turkers were people with other jobs, for whom the payment was incidental. But scholars have known for years that the vast majority of MTurk tasks are completed by a small set of workers who spend long hours on the website, and that many of those workers are very poor. Here are the sobering facts:

  • About 80 percent of tasks on MTurk are completed by about 20 percent of participants that spend more than 15 hours a week working on the site. MTurk works not because it has many hobbyists, but because it has dedicated people who treat the tasks like a job.
  • About one in five turkers are earning less than $20,000 a year.
  • A third of U.S. turkers call MTurk an important source of income, and more than one in ten say they use MTurk money to make basic ends meet.

Journal articles that refer to Mechanical Turk. Source: PS: Political Science and Politics

It is easy to forget that these statistics represent real people, so let me introduce you to one of them. “Marjorie” is a 53-year-old woman from Indiana who had jobs in a grocery store and as a substitute teacher before a bad fall left her unable to work. Now, she says, “I sit there for probably eight hours a day answering surveys. I’ve done over 8,000 surveys.” For these full days of work, Marjorie estimates that she makes “$100 per month” from MTurk, which supplements the $189 she receives in food stamps. Asked about her economic situation, Marjorie simply says that she is “poverty stricken.”

I heard similar stories from other MTurk workers—very poor people, often elderly or disabled, working tremendous hours online just to keep themselves and their families afloat. I spoke to a woman who never got back on her feet after losing her home in Hurricane Rita, and another who had barely escaped foreclosure. A mother of two was working multiple jobs, plus her time MTurk, to keep her family off government assistance. Job options are few for many turkers, especially those who are disabled, and MTurk provides resources they might not otherwise have. But these workers that work anonymously from home are isolated and have few avenues to organize for higher wages or other employment protections.

Once I realized how poorly paid my respondents were, I went back and gave every one of my over 1,400 participants a “bonus” to raise the survey respondent rate to the equivalent of a $10 hourly wage. (I paid an additional $15 to respondents who participated in an interview.) This cost me a little bit more money, but less than you might imagine. For a 3-minute survey of 800 people, going from a 20-cent to a 50-cent payment costs an additional $240. But if every researcher paid an ethical wage, it would really add up for people like Marjorie. In fact, it would likely double her monthly income from MTurk.

Raising wages is a start, but it should not be up to individual researchers to impose workplace standards. In this month’s PS: Political Science and Politics, a peer-reviewed journal published for the American Political Science Association, I have called for new standards for crowdsourced research to be implemented not only by individual researchers, but also by universities, journals, and grantmakers. For instance, journal editors should commit to publishing only those articles that pay respondents an ethical rate, and university ethics boards should create guidelines for use of crowdsourcing that consider wages and also crowdsourcers’ lack of access to basic employment protections.

The alternative is continuing to pay below-minimum-wage rates to a substantial number of poor people who rely on this income for their basic needs. This is simply no alternative at all.

Image Source: © Romeo Ranoco / Reuters
      
 
 




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Can crowdsourcing be ethical?


This post originally appeared on the TechTank blog.

In the course of my graduate work at Harvard University, I paid hundreds of Americans living in poverty the equivalent of about $2 an hour. It was perfectly legal for me to do so, and my research had the approval of my university’s ethics board. I was not alone, or even unusual, in basing Ivy League research on less-than-Walmart wages; literally thousands of academic research projects pay the same substandard rates. Social scientists cannot pretend that the system is anything but exploitative. It is time for meaningful reform of crowdsourced research.

This is what crowdsourced research looks like. I posted a survey using Mechanical Turk (MTurk), a website run by Amazon.com. Across the country, hundreds of MTurk workers (“turkers”) agreed to fill out the survey in exchange for about 20 cents apiece, and within a few days I had my survey results. The process was easy, and above all, cheap. No wonder it is increasingly popular with academics; a search on Google Scholar returns thousands of academic papers citing MTurk, increasing from 173 in 2008 to 5,490 in 2014.

Mechanical Turk is a bargain for researchers, but not for workers. A survey typically takes a couple minutes per person, so the hourly rate is very low. This might be acceptable if all turkers were people with other jobs, for whom the payment was incidental. But scholars have known for years that the vast majority of MTurk tasks are completed by a small set of workers who spend long hours on the website, and that many of those workers are very poor. Here are the sobering facts:

  • About 80 percent of tasks on MTurk are completed by about 20 percent of participants that spend more than 15 hours a week working on the site. MTurk works not because it has many hobbyists, but because it has dedicated people who treat the tasks like a job.
  • About one in five turkers are earning less than $20,000 a year.
  • A third of U.S. turkers call MTurk an important source of income, and more than one in ten say they use MTurk money to make basic ends meet.

Journal articles that refer to Mechanical Turk. Source: PS: Political Science and Politics

It is easy to forget that these statistics represent real people, so let me introduce you to one of them. “Marjorie” is a 53-year-old woman from Indiana who had jobs in a grocery store and as a substitute teacher before a bad fall left her unable to work. Now, she says, “I sit there for probably eight hours a day answering surveys. I’ve done over 8,000 surveys.” For these full days of work, Marjorie estimates that she makes “$100 per month” from MTurk, which supplements the $189 she receives in food stamps. Asked about her economic situation, Marjorie simply says that she is “poverty stricken.”

I heard similar stories from other MTurk workers—very poor people, often elderly or disabled, working tremendous hours online just to keep themselves and their families afloat. I spoke to a woman who never got back on her feet after losing her home in Hurricane Rita, and another who had barely escaped foreclosure. A mother of two was working multiple jobs, plus her time MTurk, to keep her family off government assistance. Job options are few for many turkers, especially those who are disabled, and MTurk provides resources they might not otherwise have. But these workers that work anonymously from home are isolated and have few avenues to organize for higher wages or other employment protections.

Once I realized how poorly paid my respondents were, I went back and gave every one of my over 1,400 participants a “bonus” to raise the survey respondent rate to the equivalent of a $10 hourly wage. (I paid an additional $15 to respondents who participated in an interview.) This cost me a little bit more money, but less than you might imagine. For a 3-minute survey of 800 people, going from a 20-cent to a 50-cent payment costs an additional $240. But if every researcher paid an ethical wage, it would really add up for people like Marjorie. In fact, it would likely double her monthly income from MTurk.

Raising wages is a start, but it should not be up to individual researchers to impose workplace standards. In this month’s PS: Political Science and Politics, a peer-reviewed journal published for the American Political Science Association, I have called for new standards for crowdsourced research to be implemented not only by individual researchers, but also by universities, journals, and grantmakers. For instance, journal editors should commit to publishing only those articles that pay respondents an ethical rate, and university ethics boards should create guidelines for use of crowdsourcing that consider wages and also crowdsourcers’ lack of access to basic employment protections.

The alternative is continuing to pay below-minimum-wage rates to a substantial number of poor people who rely on this income for their basic needs. This is simply no alternative at all.

Image Source: © Romeo Ranoco / Reuters
      
 
 




cro

The U.S.-China Relationship is at a Crossroads

Joseph Nye writes that some decoupling of interdependence is likely, particularly in areas related to technology that directly affect national security. But will Washington and Beijing go too far?




cro

Accumulating Evidence Using Crowdsourcing and Machine Learning: A Living Bibliography about Existential Risk and Global Catastrophic Risk

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.