Massive Vst Torrent
Herodes Hamilton
Police coordinated by the European Union's justice and police agencies have taken down computer networks responsible for spreading ransomware via infected emails, in what they called the biggest-ever international operation against the lucrative form of cybercrime.
The huge takedown this week, codenamed Endgame, involved coordinated action in Germany, the Netherlands, France, Denmark, Ukraine, the United States and United Kingdom, Eurojust said. Also, three suspects were arrested in Ukraine and one in Armenia. Searches were carried out in Ukraine, Portugal, the Netherlands and Armenia, EU police agency Europol added.
It is the latest international operation aimed at disrupting malware and ransomware operations. It followed a massive takedown in 2021 of a botnet called Emotet, Eurojust said. A botnet is a network of hijacked computers typically used for malicious activity.
German authorities are seeking the arrest of seven people on suspicion of being members of a criminal organization whose aim was to spread the Trickbot malware. An eighth person is suspected of being one of the ringleaders of the group behind Smokeloader.
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Background: Acute massive pulmonary embolism (PE) carries an exceptionally high mortality rate. We explored how often adjunctive therapies, particularly thrombolysis and inferior vena caval (IVC) filter placement, were performed and how these therapies affected the clinical outcome of patients with massive PE.
Conclusions: In ICOPER, two thirds of the patients with massive PE did not receive thrombolysis or embolectomy. Counterintuitively, thrombolysis did not reduce mortality or recurrent PE at 90 days. The observed reduction in mortality from IVC filters requires further investigation.
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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data.
Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.
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Scott Weidman, director of the Board on Mathematical Science and their Applications at the NRC, explains the charge and key recommendation of the report along with the challenges and opportunties the Massive Data presents.
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Objective: There is an increasing focus on massive transfusion, but there is a paucity of comprehensive descriptions of the massively transfused patients and their outcomes. The objective of this study is to describe the incidence rate of massive transfusion, patient characteristics, and the mortality of massively transfused patients.
Patients: The study was based on the Scandinavian Donations and Transfusions database, including all patients receiving 10 or more red cell concentrate transfusions in Sweden from 1987 and in Denmark from 1996. A total of 92,057 patients were included. Patients were followed until the end of 2012.
Measurements and main results: Descriptive statistics were used to characterize the patients and indications. Post transfusion mortality was expressed as crude 30-day mortality and as long-term mortality using the Kaplan-Meier method and using standardized mortality ratios. The incidence of massive transfusion was higher in Denmark (4.5 per 10,000) than in Sweden (2.5 per 10,000). The most common indication for massive transfusion was major surgery (61.2%) followed by trauma (15.4%). Massive transfusion due to obstetrical bleeding constituted only 1.8%. The overall 5-year mortality was very high (54.6%), however with large differences between indication groups, ranging from 91.1% among those transfused for a malignant disease without surgery to 1.7% among patients transfused for obstetrical bleeding. The early standardized mortality ratios were high and decreased thereafter, but remained elevated throughout the time period.
Conclusions: This large-scale study based on nationwide data from Sweden and Denmark describes the complete range of massive transfusion. We report a nonnegligible incidence and both a high absolute mortality and high standardized mortality ratio. The general pattern was similar for Sweden and Denmark, and we believe that similar patterns may be found in other high-resource countries. The study provides a relevant background for clinicians and researchers for designing future studies in this field.
Students sitting in a classroom attending the final day of the Advanced Helicopter Rescue School also heard the call. The students leapt at the chance to assist in the rescue. Any one of the swimmers could have gone, but ultimately it was a game of rock, paper, scissors that allowed Branch to join the senior instructors in the rescue.
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