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Accounting for the gaps in ancient food webs

 E-Mail IMAGE: The Burgess Shale food web is one of eight ancient food webs that were analyzed for similarities. view more  Credit: Jennifer Dunne If you want to understand an ecosystem, look at what the species within it eat. In studying food webs how animals and plants in a community are connected through their dietary preferences ecologists can piece together how energy flows through an ecosystem and how stable it is to climate change and other disturbances. Studying ancient food webs can help scientists reconstruct communities of species, many long extinct, and even use those insights to figure out how modern-day communities might change in the future. There s just one problem: only some species left enough of a trace for scientists to find eons later, leaving large gaps in the fossil record and researchers ability to piece together the food webs from the past.

SUTD develops new model of influence maximization

 E-Mail IMAGE: The red nodes denote the influencers chosen by their model. The model tends to choose influencers with relatively larger number of connections and also those belonging to different sub-components of. view more  Credit: SUTD If you were an owner of a newly set-up company, you would most likely be focused on building brand awareness to reach out to as many people as possible. But how can you do so with budget constraints? These days, businesses have turned to a select group of people who are active on social media platforms as a cost efficient way to drive their promotional efforts. Also referred to as influencers , they have the ability to influence the opinions or buying decisions of others.

Big data analysis finds cancer s key vulnerabilities

 E-Mail NEW YORK, NY (Jan. 11, 2021) Thousands of different genetic mutations have been implicated in cancer, but a new analysis of almost 10,000 patients found that regardless of the cancer s origin, tumors could be stratified in only 112 subtypes and that, within each subtype, the Master Regulator proteins that control the cancer s transcriptional state were virtually identical, independent of the specific genetic mutations of each patient. The study, published Jan. 11 in Cell, confirms that Master Regulators provide the molecular logic that integrates the effect of many different and patient-specific mutations to implement the transcriptional state of a specific tumor subtype, thus greatly expanding the fraction of patients who may respond to the same treatment.

Predictive analytics and big data technologies

 E-Mail Predictive analytics is the art and science of proposed predictive systems and models. With tuning over time, these models can predict an outcome with a far higher statistical probability than mere guesswork. Predictive analytics plays an essential role in the digital era. Most of the business strategies and planning depend on prediction and analytics using statistical approaches. With the increasing digitization day by day, analytical challenges are also increasing at the same rate, such as digital information, which is rapidly growing, generating vast amounts of data. There are numerous statistical approaches to perform predictive analytics, including Bayesian analysis, Sequential analysis, Statistical prediction, risk prediction, and decision analytics.

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