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]]>Among the information about a message is now integrated in addition to the arrival and reading time and a counter. This indicates how often the message has already been forwarded. The news information can unfortunately only be viewed on self-sent messages. This function is not available for received messages.
Data science and machine learning often talk about developing and training models. Somewhat simplified, a model consists of one or more algorithms that are executed as part of a computer program. During training, the algorithms are selected and specific parameters are defined. The way in which data scientists work differs from traditional application development in that data plays an essential role. In an iterative process, the data is processed, analyzed, cleaned, and used to create and train models in multiple steps. The trained models are then used in production.
Ideally, data scientists want to work with as much productive data as possible. In many cases, this is personal data that is particularly worthy of protection. Anonymizing or pseudonymizing the data would solve this problem. However, anonymized data is often useless for exploratory analysis and training of models. One use case is the automatic categorization of revenue data to create a digital budget book. In simple anonymization, the IBAN could be masked. Thus, the direct relation to an account and thus to a person is no longer possible. By analyzing the intended use of the individual data records, however, the personal reference can be restored in most cases.
A 10-year study of proboscis monkeys in Borneo has revealed that forest conversion to oil palm plantations is having a significant impact on the species.
Nearly half of all primate species are threatened with extinction, with habitat destruction acting as the key driving force. New research studied proboscis monkeys from 2004 to 2014, finding that the protection of swamp forests is vital for their survival.
The study led by Cardiff University, Chubu University, Hokaido University, Sun Yat-sen University, Living Landscape Alliance, the NGO HUTAN, Sabah Wildlife Department and Danau Girang Field Centre, tracked changes in population sizes over a decade, revealing significantly reduced sizes of proboscis monkey groups.
Dr. Benoit Goossens, Director of Danau Girang Field Centre and Reader at Cardiff University School of Biosciences, said: “We compared population sizes from 2004 and 2014, and it revealed subtle changes, where population densities fluctuated but had neither increased nor decreased. But importantly, we discovered that the sizes of the groups were significantly reduced.
Mr Augustine Tuuga, Director of Sabah Wildlife Department, said: “Proboscis monkeys are endemic to the island of Borneo. They are classified as endangered and are also a Totally Protected species in Sabah. Despite these levels of protection, lowland swamp forest habitats that are important for this species are still decreasing, mainly through forest conversion to oil palm plantations.
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