A Hierarchical Assessment of Adversarial Severity

Data-driven methods using synchrophasor measurements have a broad application prospect in Transient Stability Assessment (TSA). Most previous studies only focused on predicting whether the power system is stable or not after disturbance, which lacked a quantitative analysis of the risk of transient stability. Therefore, this paper proposes a two-stage power system TSA method based on snapshot ensemble long short-term memory (LSTM) network. This method can efficiently build an ensemble model through a single training process, and employ the disturbed trajectory measurements as the inputs, which can realize rapid end-to-end TSA. In the first stage, dynamic hierarchical assessment is carried out through the classifier, so as to screen out credible samples step by step. In the second stage, the regressor is used to predict the transient stability margin of the credible stable samples and the undetermined samples, and combined with the built risk function to realize the risk quantification of transient angle stability. Furthermore, by modifying the loss function of the model, it effectively overcomes sample imbalance and overlapping. The simulation results show that the proposed method can not only accurately predict binary information representing transient stability status of samples, but also reasonably reflect the transient safety risk level of power systems, providing reliable reference for the subsequent control.

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Sociocultural correlates of sexual and physical intimate partner violence across 98 countries: A hierarchical assessment based on economic development.

Psychology of Violence ◽

10.1037/vio0000369 ◽

2021 ◽

Vol 11 (5) ◽

pp. 465-475

Author(s):

Malachi Willis ◽

Tiffany L. Marcantonio

Keyword(s):

Economic Development ◽

Intimate Partner Violence ◽

Partner Violence ◽

Intimate Partner ◽

Physical Intimate Partner Violence ◽

Hierarchical Assessment

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Impairments in balance and mobility identify delirium in patients with comorbid dementia

International Psychogeriatrics ◽

10.1017/s1041610218001345 ◽

2018 ◽

Vol 31 (5) ◽

pp. 749-753 ◽

Cited By ~ 5

Author(s):

Neus Gual ◽

Sarah J. Richardson ◽

Daniel H. J. Davis ◽

Giuseppe Bellelli ◽

Wolfgang Hasemann ◽

...

Keyword(s):

Motor Function ◽

Mini Mental State Examination ◽

The Elderly ◽

Motor Dysfunction ◽

Cross Sectional ◽

Dsm 5 ◽

Hierarchical Assessment ◽

State Examination ◽

Rehabilitation Hospitals ◽

Delirium Superimposed On Dementia

ABSTRACTDiagnosing delirium superimposed on dementia (DSD) remains challenging because of a lack of specific tools, though motor dysfunction in delirium has been relatively under-explored. This study aimed to use dysfunction in balance and mobility (with the Hierarchical Assessment of Balance And Mobility: HABAM) to identify DSD. This is a cross-sectional multicenter study, recruiting consecutive patients ≥70 years admitted to five acute or rehabilitation hospitals in Ireland, Italy, Portugal, and Switzerland. Delirium was diagnosed using DSM-5 criteria; dementia was determined by the Mini-Mental State Examination and the Questionnaire of Cognitive Decline in the Elderly. HABAM score was recorded at admission. Out of 114 patients (mean age ± SD = 82 ± 7; 54% female), dementia alone was present in 24.6% (n = 28), delirium alone in 18.4% (n = 21) and DSD in 27.2% (n = 31). Patients with DSD had a mean HABAM score 7 points greater than those with dementia alone (19.8 ± 8.7 vs 12.5 ± 9.5; p < 0.001); 70% of participants with DSD were correctly identified using the HABAM at a cut off of 22 (sensitivity 61%, specificity 79%, AUC = 0.76). Individuals with delirium have worse motor function than those without delirium, even in the context of comorbid dementia. Measuring motor function using the HABAM in older people at admission may help to diagnose DSD.

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Application of Network Meta-Analysis to Assess the Comparative Effectiveness of Oral Care Interventions in Preventing Ventilator Associated Pneumonia in Critically Ill Patients.

10.21203/rs.3.rs-23653/v1 ◽

2020 ◽

Author(s):

Satheeshkumar PS ◽

Stephen Sonis

Keyword(s):

Usual Care ◽

Critically Ill ◽

Critically Ill Patients ◽

Povidone Iodine ◽

Meta Analysis ◽

Oral Care ◽

Forest Plot ◽

Care Groups ◽

Ranking Order ◽

Hierarchical Assessment

Abstract Background In this research, we assessed the efficacy of a novel analytic, network metanalysis (NMA), in creating a hierarchy to define the most effective oral care intervention (OCI) for the prevention and management of ventilation-associated pneumonia (VAP). Methods We applied NMA to a previously published robust pairwise meta-analysis (PMA). Statistical analyses were based on comparing rates of total VAP events between intervention groups and placebo-usual care groups. We synthesized a netgraph, reported ranking order of the treatment and summarized our output by a forest plot with a reference treatment placebo/usual care. Results With our inclusion and exclusion critiera for the NMA we extracted 25 studies (4473 subjects). The NMA included 16 treatments, 29 pairwise comparisons and 15 designs. Based on the results of multiple comparisons with frequentist ranking probability P scores, tooth brushing (P score fixed of 0.9353, P score random of 0.8892), toothbrushing with povidone iodine (P score fixed of 0.9091, P score random 0.8801), and furacillin (P score fixed of 0.8798, P score random 0.8358) were the best three interventions for preventing VAP. Conclusion NMA appeared to be an effective platform from which multiple interventions reported in disparate clinical trials could be compared to derive a hierarchical assessment of efficacy in the intervention of VAP. According to the NMA outcome, toothbrushing alone or toothbrushing along with a potent antiseptic mouthwash povidone iodine was related to the highest response rate in preventing VAP in critically ill patients followed by furacillin and chlorhexidine 0.2%, respectively.

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