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Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection
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322
Syncopes and clinical outcome in heart failure: results from prospective clinical study data in Germany
Published 2020-06-01Get full text
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323
Streptococcus pneumoniae Coinfection in COVID-19 in the Intensive Care Unit: A Series of Four Cases
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324
A Case of Reed Syndrome with a Novel Mutation in the Fumarate Hydratase Gene
Published 2013-01-01Get full text
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325
Graph-based two-level indicator system construction method for smart city information security risk assessment
Published 2024-08-01“…However, existing methods cannot effectively analyze internal and hierarchical relationships because of the excessive number of indicators. …”
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326
Protocol for generating protein profiles and distance-based network analysis of murine tissue slices
Published 2025-03-01Get full text
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327
Evaluation of auditory alerting systems for safe electric scooter operations
Published 2025-01-01“…Electric micromobility modes, such as electric scooters and electric bikes, have the potential to offer a lower-emission alternative to journeys made with internal combustion engine vehicles, and such modes of transport are becoming increasingly commonplace on our streets. …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method
Published 2024-12-01“…Current regression methods for battery fault detection often analyze charging and discharging as a single continuous process, missing important phase differences. This paper proposes segmented regression to better capture these distinct characteristics for accurate fault detection. …”
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331
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging
Published 2025-01-01“…Abstract Differentiating between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD) without a kidney biopsy remains a major challenge, often leading to missed opportunities for targeted treatments that could greatly improve NDRD outcomes. …”
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332
Improving Fuel Consumption Prediction for Marine Diesel Engines Using Hierarchical Neural Networks and Pulsating Exhaust Models
Published 2024-12-01“…Predicting end-of-process variables in internal combustion engines, such as brake-specific fuel consumption or pollutant emissions, is crucial for engine design decisions. …”
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Reliability and validity of the original and brief German version of the Maternal Antenatal Attachment Scale (MAAS): Longitudinal study findings.
Published 2024-01-01“…However, studies including the MAAS presented missing or inadequate psychometric properties. Therefore, the current study aimed to investigate the reliability and validity of both the original and the recently introduced brief German version of the MAAS.…”
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Knowledge Graph Completion With Pattern-Based Methods
Published 2025-01-01“…Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG reasoning, aiming at predicting the missing links. Some methods take advantage of external information such as entity description but at the cost of more computational complexity. …”
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Priority areas of police bodies’ activity in ensuring the citizens’ rights in the conditions of martial law legal regime in Ukraine
Published 2022-09-01“…The differences in the powers granted to police bodies in peacetime and during countermeasures against internal threats of martial law have been characterized. …”
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339
Development and validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ)
Published 2018-04-01“…For each question, we examined the proportion of missing data and the distribution of responses. Factor analysis, Cronbach’s alpha, Spearman’s rank correlations and longitudinal regression assessed dimensional structure, internal consistency reliability, construct validity and responsiveness, respectively. …”
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Towards personalized cardiometabolic risk prediction: A fusion of exposome and AI
Published 2025-01-01“…Furthermore, data preprocessing involved normalization and handling of missing values to enhance model accuracy. The model's decision-making process were using an advanced explainability method. …”
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