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http://dx.doi.org/10.1002/lary.30853 | DOI Listing |
BMJ Mil Health
January 2025
Department of Anaesthesia and Critical Care, University Hospitals Birmingham NHS Foundation Trust, Birmingham, Birmingham, UK.
Lancet Diabetes Endocrinol
January 2025
Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; Catholic University of the Sacred Heart, Rome, Italy; University Polyclinic Foundation Agostino Gemelli IRCCS, Rome, Italy.
Lancet Diabetes Endocrinol
January 2025
Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Clayton, VIC, Australia; Department of Endocrinology, Monash Health, Clayton, VIC, Australia.
Background: Primary aldosteronism can be treated medically but there is no standardised method to evaluate treatment outcomes. We aimed to develop criteria for assessing the outcomes of targeted medical treatment of primary aldosteronism, analyse outcomes across an international cohort, and identify factors associated with a complete treatment response.
Methods: An international panel of 31 primary aldosteronism experts used the Delphi method to reach consensus on the definition of complete, partial, or absent biochemical and clinical outcomes of medical treatment of primary aldosteronism.
Oral Maxillofac Surg
January 2025
Research Center for Digital Technologies in Dentistry and CAD/CAM, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 123, Krems an der Donau, 3500, Austria.
Purpose: Precise implant placement is essential for optimal functional and aesthetic outcomes. Digital technologies, such as computer-assisted implant surgery (CAIS), have improved implant outcomes. However, conventional methods such as static and dynamic CAIS (dCAIS) require complex equipment.
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January 2025
Changchun Automobile Economic & Technological Development Zone Employment Service Bureau, Jilin City, China.
The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order [Formula: see text] control strategy based on torque observation compensation is proposed. The parameters of the fractional order [Formula: see text] controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order [Formula: see text] controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order [Formula: see text] controller parameters graphically and intuitively.
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