Harvard Signals

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Remote Sensing & Digital Forensics

“Present in the imagery from March 1st and March 4th of the prison, there are dark elongated objects, similar to each other, measuring approximately five to six feet in length,” said Isaac Baker, imagery analysis manager at the Harvard Humanitarian Initiative’s Signal Program on Human Security and Technology. “While analysis and available data does not prove, it does corroborate, and is consistent with, eyewitness accounts of mass executions at this facility.” Read the entire article here.

As a documentation tool, satellites have the potential to collect important real-time evidence for alleged war crimes and crimes against humanity.

Other Notable Papers

WHAT WE DO

Standards & Ethics

UAViators Code of Conduct

The UAViators Code of Conduct is the gold standard for how to effectively, securely, and respectfully operate drones in the humanitarian sector. We’re excited to be working more closely with the UAViators and WeRobotics to steward this latest round of updates. More at uaviators.org

Identifying, defining, articulating, and translating existing international human rights standards into the context of HIAs and the use of information, data, and ICTs in humanitarian contexts.

Other Notable Papers

WHAT WE DO

Early Warning & Atrocity Prevention

Our Work

The Early Warning team conducts sector-leading development of the theory, methodologies, operational protocols, and case-based learning in near-term tactical decision support for civilian protection worldwide. Already at the core of United Nations’ peacekeeping operations learning and operational development, the Early Warning team is working to systematically re-configure the humanitarian sector’s wide-lens, long-range approach to tactical early warning and mass atrocity prevention, bringing it into focus with analysis protocols designed for real-time change detection and decision support.

The aim of this article is to highlight potential methods applicable to a standard forensic approach for the analysis of high-resolution satellite imagery that may contain evidence of alleged mass atrocities.

Other Notable Papers

Internship

The Signal Program is seeking an intern for the summer of 2020 to assist in building an agent-based model.

By November 2020 an estimated 1.5 million people have become internally displaced in Somalia.
Climate change, environmental degradation, conflict, political and economic instability, and food crises stand to increase the numbers and movement of Somalia’s internally displaced populations (IDPs). There is an urgent need for the development of an agent-based model to understand the effects of climate change and conflict on pastoralists and internally displaced populations in the Horn of Africa.

To accomplish this, the Signal Program is applying agent-based modeling to new, theoretical methods of tracking migration patterns, considering variables ranging from environmental indices, conflict, and available support. We’re seeking assistance in translating conceptual models into code, test ABM prototypes with empirical data and produce preliminary deliverables for project partners.

Harvard Signals

Harvard signals is a new binary options trading product. The developers behind this software claim to have made 1600 people over $85,000 in a month with just a $250 deposit.

Today I will be providing review and a compelling argument as to why or why not this is a reasonable investment opportunity.

Harvard Signals Review

The Harvard signals developer is named Ron Trumann. He claims to be a Harvard lecturer with a PhD in finance, who also just so happens to be a millionaire. Considering the aggressive profits being discussed on this page it is important that we do our due diligence when approaching this trading software. I believe that the best place to start is by doing some research on the developer Ron. He tells us that this product was developed at the Harvard business school and by the sounds of things he has quite a reputation. However, I decided to do some research on Ron and I didn’t find a single thing. With a reputation as strong as his there is no way that he wouldn’t be able to stay under the radar so now I’m really not sure that this isn’t just a gimmick and that there really isn’t anyone named Ron Trumann.

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The Harvard signals website has testimonials in a section they call professional opinions. I’ve noticed that they spell opinions wrong and at the top of the page they also spell the word signing wrong. If this is truly a Harvard professor putting together this website, the standards are surprisingly low and it really makes me feel like this is more of a gimmick than an actual product. In the testimonials we have more people that claim to have graduated Harvard and made millions of dollars but at this point in time it’s hard for me to believe any of this.

I’m not going to recommend the Harvard signals trading product to any of the binary today readers. There’s really nothing substantial about this website. There are a couple of fancy charts and images that make the software look very impressive but to me it’s just fluff and I need some real substance. If there’s something you would like to contribute to this review please leave your questions and concerns below the article now. Also, if you see a website online that you would like me to take a look at it review for you, just send me a personal email by clicking Ask John at the top of the page.

Campus Alert

Signals from Fat

MicroRNAs released from fat cells may help regulate other tissues

Fat cells are not simply big blobs of lipid quietly standing by in the body—instead, they send out hormones and other signaling proteins that affect many types of tissues.

Harvard Medical School scientists at Joslin Diabetes Center now have identified a route by which fat also can deliver a form of small RNAs called microRNAs that helps to regulate other organs.

“This mechanism may offer the potential to develop an entirely new therapeutic approach,” said C. Ronald Kahn, the Mary K. Iacocca Professor of Medicine at Harvard Medical School and Joslin’s chief academic officer, and senior author of a paper on the research published in the journal Nature.

The research suggests the possibility, Kahn explained, of developing gene therapy using fat cells to aid in treating metabolic diseases, cancer or other conditions in the liver or other organs.

Working in mice and with human cells, Kahn and his colleagues studied the role of microRNAs, a form of small RNAs that are not translated into proteins but can regulate other RNAS that produce protein.

They are made by all cells in the body, and it is known that some of these microRNAs may be released from the originating cell into the blood. However, exactly what they do once they enter the bloodstream has been debated.

The scientists focused on microRNAs from fat cells that are released into the blood via tiny sacks called exosomes. The researchers began with a mouse model that was genetically modified so that its fat cells could not create microRNAs.

The researchers then showed that in these mice, which do not make microRNAs in fat, the total population of microRNAs circulating in exosomes dropped significantly. This decrease in circulating miRNAs could be restored when the investigators transplanted normal fat into these mice, a result indicating that many of the microRNAs in circulation were coming from fat.

Next, the scientists studied people with two forms of lipodystrophy—a condition in which fat is lost or genetically not present. In both groups of people, they found that levels of microRNAs circulating in exosomes were lower than normal.

This suggested that these microRNAs generated by fat might aid in diagnostics for metabolic conditions such as obesity, Type 2 diabetes and fatty liver disease, Kahn said.

But, the researchers asked, were these microRNAs also crossing into other tissues and regulating genes there so that they might potentially be used for therapeutics?

Therapeutic Use?

The Joslin team followed up on this question by looking at a gene whose expression in the mouse liver increases in lipodystrophy. They discovered that this gene expression could be modified by microRNA in exosomes released by fat. They also showed that the mice that couldn’t produce microRNAs in fat cells didn’t produce that type of microRNA at all.

“But if you put back that missing microRNA in exosomes, it does regulate the gene,” Kahn said. “So fat is using this as a way to send a signal to the liver.”

Next, the scientists made a mouse model with fat cells engineered to make a certain microRNA that is found in humans, but not mice, and showed that these human microRNAs could also regulate their target in the livers of the mice and that this was do to these circulating exosomal microRNAs.

“We showed in mice that these circulating microRNAs in exosomes can regulate gene expression, at least in the liver and perhaps in other tissues,” Kahn said.

His team is now looking to see if this microRNA mechanism also works in other tissues such as muscle and brain cells.

Additionally, the scientists will investigate ways the mechanism might be applied in gene therapy.

Fat is easy to access, a major advantage for gene therapy, Kahn pointed out. “We could take out a patient’s subcutaneous fat with a simple needle biopsy, modify the fat cells to make the microRNAs that we want, put the cells back into the patient, and then hope to get regulation of genes that the patient is not regulating normally,” he suggested.

This approach for gene therapy to treat fatty liver disease, for example, might prove both safer and more effective than re-engineering cells in the liver itself. “We think it also might be useful for nonmetabolic diseases, such as cancer of the liver,” Kahn said.

Lead funding for this work was from the National Institutes of Health.

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