A MACHINE LEARNING APPROACH TO DETECT POTENTIALLY HARMFUL AND PROTECTIVE SUICIDE-RELATED CONTENT IN BROADCAST MEDIA.

A machine learning approach to detect potentially harmful and protective suicide-related content in broadcast media.

Suicide-related media content has preventive or harmful effects depending on the specific content.Proactive media screening for suicide prevention is hampered by the scarcity of machine learning approaches to detect specific characteristics in news reports.This study applied machine learning to label large quantities of broadcast (TV and radio) med

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NEAR REAL-TIME DETERMINATION OF EARTHQUAKE SOURCE PARAMETERS FOR TSUNAMI EARLY WARNING FROM GEODETIC OBSERVATIONS

Exemplifying the tsunami source immediately after an earthquake is the most critical component of tsunami early warning, as not every earthquake generates a tsunami.After a major under sea earthquake, it is very important to determine whether or not it has actually triggered the deadly wave.The near real-time observations from near field networks s

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Chlorido(5-formyl-2-hydroxyphenyl-κC1)mercury(II)

In the planar (r.m.s.deviation = 0.027 Å) title compound, [Hg(C7H5O2)Cl], the HgII atom shows a typical linear coordination by a C atom of the benzene Rollerball pen ring and a Cl atom.Intermolecular O—H.O hydrogen bonds are present in the crystal structure, resulting in chains propagating along the b PTO and Pump Produ

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