Clinical Medicine for Healthcare and Sustainability
| Clinical Medicine for Healthcare and Sustainability |
| Autore | Meen Teen-Hang |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (434 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
acute bacterial infection
addiction alcohol antibiotic susceptibility testing (AST), evidence-based prescription antibiotics antimicrobial resistance (AMR), rapid diagnostics arterial pressure artificial intelligence bariatric surgery bioimpedance analysis blood pressure caffeine cannabis cardiometabolic diseases cardiovascular disease catheter ceftaroline ceftriaxone chronic chronic disease clinical clinical deterioration community-acquired pneumonia complicated intra-abdominal infection complicated urinary tract infection computed tomography computerized conventional neural network convolutional neural networks cost cost optimization cross-sectional cohort study decision support deep learning dental panoramic radiographs depression diabetic foot ulcer discordance disease prevention doripenem drug therapy early medical intervention effect efficacy elderly electronic health records ensemble methods epidemiology eravacycline erythrodermic psoriasis ethics forensic forensic medicine frailty health behavior health-related quality of life healthcare healthcare and sustainability healthcare quotient hemodialysis hepatocellular carcinoma home mechanical ventilation hospital emergency department hospital rapid response team hypertension hypotension incidence insurance medicine intensive care units intra-abdominal infection Korea laparoscopic large for gestational age laser assisted law long-axis injection Long-term oxygen therapy longitudinal studies lung cancer machine learning macrosomia medical records system medical referral system medication menopause meta-analysis mild cognitive impairment minimal clinically important difference mortality MRI multimorbidity musculoskeletal disorders National Health Insurance Service data non-metastatic colorectal cancer nursing homes occupational medicine older adults older adults living in super-aging society oncologic outcome open surgery osteoporosis screening palliative care patient-reported experience measures peripheral arterial disease physical activity pneumonia post-acute care postprandial prediction preoperative prevalence primary care propensity score matching protection psychoactive substances quality of care queuing theory randomized controlled tria rapid culture resistance training risk factor safety sarcopenia season secukinumab sensitivity serum urate single surgeon experience smoking socioeconomic status specificity stroke suicidal plans suicidal thoughts surgical complication survival sustainability symptom assessment therapeutics therapy of internal medicine diseases trial sequential analysis ultrasound-guided injection uric acid urinary tract infection virtual reality walking speed wearable white matter hyperintensity xanthine dehydrogenase |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557572503321 |
Meen Teen-Hang
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Geometric programming for design equation development and cost/profit optimization : (with illustrative case study problems and solutions) / / Robert C. Creese
| Geometric programming for design equation development and cost/profit optimization : (with illustrative case study problems and solutions) / / Robert C. Creese |
| Autore | Creese Robert C. <1941-, > |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | [San Rafael, California] : , : Morgan & Claypool, , 2017 |
| Descrizione fisica | 1 online resource (212 pages) : illustrations, tables |
| Disciplina | 516 |
| Collana | Synthesis lectures on engineering |
| Soggetto topico | Geometric programming |
| Soggetto non controllato |
design optimization
generalized design relationships cost optimization profit maximization cost ratios constrained derivative dimensional analysis condensation of terms transformed dual posynominials |
| ISBN | 1-62705-936-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Part I. Introduction, history, and theoretical fundamentals of geometric programming -- 1. Introduction -- 1.1 Optimization and geometric programming -- 1.1.1 Optimization -- 1.1.2 Geometric programming -- 1.2 Evaluative questions -- 1.3 References -- 2.Brief history of geometric programming -- 2.1 Pioneers of geometric programming -- 2.2 Evaluative questions -- 2.3 References -- 3. Theoretical fundamentals -- 3.1 Primal and dual formulations -- 3.2 Evaluative questions -- 3.3 References --
Part II. Geometric programming cost minimization applications with zero degrees of difficulty -- 4. The optimal box design case study -- 4.1 Introduction -- 4.2 The optimal box design problem -- 4.3 Evaluative questions -- 5. Trash can case study -- 5.1 Introduction -- 5.2 The optimal trash can design problem -- 5.3 Evaluative questions -- 5.4 References -- 6. The building area design case study -- 6.1 Introduction -- 6.2 The building area design problem -- 6.3 Problem solution -- 6.4 Modified building area design problem -- 6.5 Fixed room height area design problem -- 6.6 Evaluative questions -- 6.7 References -- 7. The open cargo shipping box case study -- 7.1 Problem statement and general solution -- 7.2 Evaluative questions -- 7.3 References -- 8. Metal casting cylindrical side riser case study -- 8.1 Introduction -- 8.2 Problem formulation and general solution -- 8.3 Cylindrical side riser example -- 8.4 Evaluative questions -- 8.5 References -- 9. Inventory model case study -- 9.1 Problem statement and general solution -- 9.2 Inventory example problem -- 9.3 Evaluative questions -- 9.4 References -- 10. Process furnace design case study -- 10.1 Problem statement and solution -- 10.2 Conclusions -- 10.3 Evaluative questions -- 10.4 References -- 11. The gas transmission pipeline case study -- 11.1 Problem statement and solution -- 11.2 Evaluative questions -- 11.3 References -- 12. Material removal/metal cutting economics case study -- 12.1 Introduction -- 12.2 Problem formulation -- 12.3 Evaluative questions -- 12.4 References -- 13. Construction building sector cost minimization case study -- 13.1 Introduction -- 13.2 Model development -- 13.3 Model results and validation -- 13.4 Conclusions -- 13.5 Evaluative questions -- 13.6 References -- Part III. Geometric programming profit maximization applications with zero degrees of difficulty -- 14. Production function profit maximization case study -- 14.1 Profit maximization with geometric programming -- 14.2 Profit maximization of the production function case study -- 14.3 Evaluative questions -- 14.4 References -- 15. Product mix profit maximization case study -- 15.1 Profit maximization using the Cobb-Douglas production function -- 15.2 Evaluative questions -- 15.3 References -- 16. Chemical plant product profitability case study -- 16.1 Model formulation -- 16.2 Primal and dual solutions -- 16.3 Evaluative questions -- 16.4 References -- Part IV. Geometric programming applications with positive degrees of difficulty -- 17. Journal bearing design case study -- 17.1 Issues with positive degrees of difficulty problems -- 17.2 Journal bearing case study -- 17.3 Primal and dual formulation of journal bearing design -- 17.4 Dimensional analysis technique for additional equation -- 17.5 Evaluative questions -- 17.6 References -- 18. Multistory building design with a variable number of floors case study -- 18.1 Introduction -- 18.2 Problem formulation -- 18.3 Evaluative questions -- 18.4 References -- 19. Metal casting cylindrical side riser with hemispherical top design case study -- 19.1 Introduction -- 19.2 Problem formulation -- 19.3 Dimensional analysis technique for additional two equations -- 19.4 Evaluative questions -- 19.5 References -- 20. Liquefied petroleum gas (LPG) cylinders case study -- 20.1 Introduction -- 20.2 Problem formulation -- 20.3 Dimensional analysis technique for additional equation -- 20.4 Evaluative questions -- 20.5 References -- 21. Material removal/metal cutting economics with two constraints case study -- 21.1 Introduction -- 21.2 Problem formulation -- 21.3 Problem solution -- 21.4 Example problem -- 21.5 Evaluative questions -- 21.6 References -- 22. The open cargo shipping box with skids case study -- 22.1 Introduction -- 22.2 Primal and dual problem formulation -- 22.3 Constrained derivative approach -- 22.4 Dimensional analysis approach for additional equation -- 22.5 Condensation of terms approach -- 22.6 Evaluative questions -- 22.7 References -- 23. Profit maximization considering decreasing cost functions of inventory policy case study -- 23.1 Introduction -- 23.2 Model formulation -- 23.3 Inventory example problem with scaling constants for price and cost -- 23.4 Transformed dual approach -- 23.5 Evaluative questions -- 23.6 References -- Part V. Summary, future directions, theses and dissertations on geometric programming -- 24. Summary and future directions -- 24.1 Summary -- 24.2 Future directions -- 24.3 Development of new design relationships -- 25. Theses and dissertations on geometric programming -- 25.1 Introduction -- 25.2 Lists of M.S. theses and Ph.D. dissertations -- Author's biography -- Index. |
| Record Nr. | UNINA-9910157722103321 |
Creese Robert C. <1941-, >
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| [San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Modeling and Simulation of Energy Systems / Thomas A. Adams
| Modeling and Simulation of Energy Systems / Thomas A. Adams |
| Autore | Adams Thomas A |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (496 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
FCMP
modeling and simulation multiphase equilibrium modeling polymer electrolyte membrane fuel cell (PEMFC) dynamic simulation simulation multi-scale systems engineering process simulation cycling time-delay exergy loss gas path analysis oil and gas solar PV optimization second law efficiency auto thermal reformer friction factor optimal battery operation biodiesel energy time-varying operation efficiency process synthesis and design nonsmooth modeling mixture ratio supercritical CO2 dynamic optimization technoeconomic analysis work and heat integration compressibility factor multi-objective optimisation circulating fluidized bed boiler wind power naphtha recovery unit cost optimization recompression cycle hybrid Life Cycle Assessment post-combustion CO2 capture piecewise-linear function generation solar energy industrial process heat kriging statistical model supercritical pulverized coal (SCPC) parabolic trough combined cycle H2O-LiBr working pair linearization process integration smith predictor process design analysis by synthesis MINLP methyl-oleate diagnostics offshore wind double-effect system shale gas condensate geothermal energy multi-loop control R123 waste to energy hybrid system cogeneration energy storage energy efficiency nonlinear mathematical programming superstructure concentrating solar thermal desalination modelling binary cycle organic Rankine cycle refuse derived fuel power plants WHENS process control compressor modeling energy systems PTC life cycle analysis natural gas transportation isentropic exponent top-down models thermal storage supercritical carbon dioxide operations sustainable process design hybrid solar energy management R245fa building blocks energy economics micro gas turbine CSP fuel cost minimization problem CST palladium membrane hydrogen separation battery degradation optimal control RK-ASPEN process systems engineering supervisory control absorption refrigeration concentrating solar power shale gas condensate-to-heavier liquids Dieng DMR liquefaction processes dynamic modeling Organic Rankine Cycle (ORC) load-following demand response Indonesia |
| ISBN |
9783039215195
3039215191 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747603321 |
Adams Thomas A
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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