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1.
Sensors (Basel) ; 22(14)2022 Jul 07.
Artigo em Inglês | MEDLINE | ID: mdl-35890786

RESUMO

The digital transformation of the defence sector is not exempt from innovative requirements and challenges, with the lack of availability of reliable, unbiased and consistent data for training automatisms (machine learning algorithms, decision-making, what-if recreation of operational conditions, support the human understanding of the hybrid operational picture, personnel training/education, etc.) being one of the most relevant gaps. In the context of cyber defence, the state-of-the-art provides a plethora of data network collections that tend to lack presenting the information of all communication layers (physical to application). They are synthetically generated in scenarios far from the singularities of cyber defence operations. None of these data network collections took into consideration usage profiles and specific environments directly related to acquiring a cyber situational awareness, typically missing the relationship between incidents registered at the hardware/software level and their impact on the military mission assets and objectives, which consequently bypasses the entire chain of dependencies between strategic, operational, tactical and technical domains. In order to contribute to the mitigation of these gaps, this paper introduces CYSAS-S3, a novel dataset designed and created as a result of a joint research action that explores the principal needs for datasets by cyber defence centres, resulting in the generation of a collection of samples that correlate the impact of selected Advanced Persistent Threats (APT) with each phase of their cyber kill chain, regarding mission-level operations and goals.


Assuntos
Conscientização , Software , Algoritmos , Comunicação , Humanos , Aprendizado de Máquina
2.
J Am Geriatr Soc ; 53(9): 1476-82, 2005 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-16137275

RESUMO

OBJECTIVES: To evaluate whether an early multidisciplinary geriatric intervention in elderly patients with hip fracture reduced length of stay, morbidity, and mortality and improved functional evolution. DESIGN: Randomized, controlled intervention trial. SETTING: Orthopedic ward in a university hospital. PARTICIPANTS: Three hundred nineteen patients aged 65 and older hospitalized for hip fracture surgery. INTERVENTION: Participants were randomly assigned to a daily multidisciplinary geriatric intervention (n=155) or usual care (n=164) during hospitalization in the acute phase of hip fracture. MEASUREMENTS: Primary endpoints were in-hospital length of stay and incidence of death or major medical complications. Secondary endpoints were the rate of recovery of previous activities of daily living and ambulation ability at 3, 6, and 12 months. RESULTS: Median length of stay was 16 days in the geriatric intervention group and 18 days in the usual care group (P=.06). Patients assigned to the geriatric intervention showed a lower in-hospital mortality (0.6% vs 5.8%, P=.03) and major medical complications rate (45.2% vs 61.7%, P=.003). After adjustment for confounding variables, geriatric intervention was associated with a 45% lower probability of death or major complications (95% confidence interval=7-68%). More patients in the geriatric intervention group achieved a partial recovery at 3 months (57% vs 44%, P=.03), but there were no differences between the groups at 6 and 12 months. CONCLUSION: Early multidisciplinary daily geriatric care reduces in-hospital mortality and medical complications in elderly patients with hip fracture, but there is not a significant effect on length of hospital stay or long-term functional recovery.


Assuntos
Serviços de Saúde para Idosos , Fraturas do Quadril/terapia , Equipe de Assistência ao Paciente , Idoso , Feminino , Fraturas do Quadril/complicações , Fraturas do Quadril/mortalidade , Fraturas do Quadril/reabilitação , Hospitalização , Humanos , Tempo de Internação , Masculino , Resultado do Tratamento
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