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Oncology. Neoplasms --- Semiology. Diagnosis. Symptomatology --- Cancer --- Radiography --- Radiographie --- Diagnosis --- Quality control --- Diagnostics --- Qualité --- Contrôle --- Practice Guidelines as Topic. --- Quality Assurance, Health Care --- Biopsy --- Uterine Cervical Neoplasms --- Mass Screening --- Best Practices --- Best Practice --- Practice, Best --- Practices, Best --- Clinical Protocols --- standards. --- prevention & control. --- Europe. --- Northern Europe --- Southern Europe --- Western Europe --- Qualité --- Contrôle --- Clinical Decision Rules --- Practice Guidelines as Topic --- standards --- prevention & control --- Clinical Guidelines as Topic

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In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

Technology: general issues --- History of engineering & technology --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region --- n/a

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In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

Technology: general issues --- History of engineering & technology --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region

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Nederland loopt al jaren mee in de voorhoede van richtlijnontwikkeling. In de jaren negentig was er sprake van een snelle groei van richtlijnen en protocollen, met als gevolg dat er veel variatie tussen richtlijnen onderling over eenzelfde onderwerp aan te tonen was. Dit inzicht heeft ertoe geleid dat richtlijnmakers zich zijn gaan inspannen om samen te werken en uniformiteit na te streven in de wijze waarop richtlijnen totstandkomen en worden gepubliceerd. De methode van evidence-based richtlijnontwikkeling is hierbij de norm. Dit boek Evidence-based richtlijnontwikkeling, een leidraad voor de praktijk speelt in op drie behoeften bij zorgverleners: de behoefte aan houvast in de directe patiëntenzorg, de behoefte aan eenduidigheid en de behoefte aan houvast in onderhandelingen. Het boek is opgebouwd uit vijf delen. Het eerste deel bevat een aantal algemene hoofdstukken, gevolgd door deel twee waarin de voorbereidingsfase van richtlijnontwikkeling wordt uitgediept. Deel drie behandelt het ontwikkelen van een richtlijn en deel vier schenkt aandacht aan de implementatie en toepassing van de richtlijn. In deel vijf komt de evaluatie van richtlijnen aan de orde. Evidence-based richtlijnontwikkeling, een leidraad voor de praktijk is niet alleen bedoeld voor instanties en verenigingen die richtlijnen opstellen, maar ook voor degenen die praktisch of beleidsmatig werkzaam zijn in de gezondheidszorg en die aan richtlijnontwikkeling een belangrijke plaats toekennen in het kwaliteitsdenken.

Evidence based medicine. --- Evidence based practice --- Geneeskunde --- Hulpverlening. --- Wetenschappelijk onderzoek. --- evidence-based nursing --- verpleegplannen --- richtlijnen (zorg) --- Hygiene. Public health. Protection --- gezondheidszorg --- beleid --- W 84 Health services. Quality of health care (General) --- 616.083.45 --- Evidence-based medicine --- Evidence-based nursing --- Kwaliteitsbewaking (audit) --- Verpleegplan --- evidence-based onderzoek (evidence-based medicine) --- verpleegprocedure (protocol) --- kwaliteitsbewaking (audit) --- patiëntenparticipatie --- wetenschappelijk onderzoek --- klinisch paden (zorgpad) --- patiëntenbegeleiding (patiëntenvoorlichting) --- 613 --- 61 --- (zie ook: klinisch paden) --- (zie ook: onderzoek) --- (zie ook: informed consent) --- Netherlands --- Evidence based onderzoek --- Clinical Medicine --- Guidelines as Topic --- Evidence-Based Practice --- Quality Assurance, Health Care --- Health Occupations --- Medicine --- Quality of Health Care --- Health Care Quality, Access, and Evaluation --- Disciplines and Occupations --- Health Services Administration --- Health Care --- Evidence-Based Medicine --- Practice Guidelines as Topic --- Best Practices --- Best Practice --- Clinical Decision Rules --- Clinical Protocols --- Medicine, Evidence-Based --- Evidence Based Medicine --- Medicine, Evidence Based --- Decision Support Techniques --- Evidence-Based Dentistry --- Evidence-Based Nursing --- Community-Based Distribution --- Contraceptive Distribution --- Delivery of Healthcare --- Dental Care Delivery --- Distribution, Non-Clinical --- Distribution, Nonclinical --- Distributional Activities --- Healthcare --- Healthcare Delivery --- Healthcare Systems --- Non-Clinical Distribution --- Nonclinical Distribution --- Delivery of Dental Care --- Health Care Delivery --- Health Care Systems --- Activities, Distributional --- Activity, Distributional --- Care, Health --- Community Based Distribution --- Community-Based Distributions --- Contraceptive Distributions --- Deliveries, Healthcare --- Delivery, Dental Care --- Delivery, Health Care --- Delivery, Healthcare --- Distribution, Community-Based --- Distribution, Contraceptive --- Distribution, Non Clinical --- Distributional Activity --- Distributions, Community-Based --- Distributions, Contraceptive --- Distributions, Non-Clinical --- Distributions, Nonclinical --- Health Care System --- Healthcare Deliveries --- Healthcare System --- Non Clinical Distribution --- Non-Clinical Distributions --- Nonclinical Distributions --- System, Health Care --- System, Healthcare --- Systems, Health Care --- Systems, Healthcare --- Administration, Health Services --- Health Services --- Healthcare Quality, Access, and Evaluation --- Pharmacy Audit --- Quality of Care --- Quality of Healthcare --- Audit, Pharmacy --- Care Quality --- Health Care Quality --- Healthcare Quality --- Pharmacy Audits --- Medical Specialities --- Medical Specialties --- Medical Specialty --- Specialities, Medical --- Specialties, Medical --- Specialty, Medical --- Medical Speciality --- Speciality, Medical --- Health Workforce --- Health Professions --- Health Occupation --- Health Profession --- Profession, Health --- Professions, Health --- Occupations --- Health Care Quality Assessment --- Health Care Quality Assurance --- Healthcare Quality Assessment --- Healthcare Quality Assurance --- Quality Assessment, Healthcare --- Quality Assurance, Healthcare --- Quality Assessment, Health Care --- Assessment, Healthcare Quality --- Assessments, Healthcare Quality --- Assurance, Healthcare Quality --- Assurances, Healthcare Quality --- Healthcare Quality Assessments --- Healthcare Quality Assurances --- Quality Assessments, Healthcare --- Quality Assurances, Healthcare --- Evidence Based Health Care Management --- Evidence Based Healthcare Management --- Evidence Based Management, Health Care --- Evidence Based Management, Healthcare --- Evidence-Based Healthcare --- Evidence-Based Health Care --- Evidence Based Health Care --- Evidence Based Healthcare --- Evidence Based Practice --- Evidence-Based Health Cares --- Evidence-Based Healthcares --- Health Care, Evidence-Based --- Health Cares, Evidence-Based --- Healthcare, Evidence-Based --- Healthcares, Evidence-Based --- Guidelines as Topics --- Medicine, Clinical --- organization & administration --- Clinical Guidelines as Topic --- patiëntenparticipatie --- patiëntenbegeleiding (patiëntenvoorlichting) --- Evidence Gaps