626 resultados para NON-PRESCRIPTION DRUGS


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13.1 Drugs for cardiac arrhythmias 13.1.1 Introduction to cardiac arrhythmias 13.1.2 Cardiac action potentials 13.1.3 Mechanisms of cardiac arrhythmias 13.1.3 Class I 13.1.4 Class II 13.1.5 Class III 12.1.6 Class IV 13.1.7 Amiodarone 13.1.8 Adenosine 13.2 Antithrombotic drugs 13.2.1 Thrombus formation 13.2.2 Platelet aggregation and anti-platelet drugs 13.2.3 Coagulation 13.2.4 Anticoagulants 13.2.5 Fibrinolysis and fibrinolytics 13.3. Lipid modulating drugs 13.3.1 Cholesterol 13.3.2 Statins 13.3.3 Fibric acid derivatives 13.3.4 Ezetimibe

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14.1 Drugs for diabetes 14.1.1 Diabetes mellitus 14.1.2 Physiology of the pancreas 14.1.3 Insulin replacement therapy 14.1.4 Metformin 14.1.5 Acarbose 14.1.6 Sulfonylureas 14.1.7 Glitazones 14.1.8 Glucagon-like peptide-1, exenatide and sitagliptin 14.2 Drugs for obesity 14.2.1 Introduction 14.2.2 Amphetamine 14.2.3 Phentermine 14.2.5 Orlistat

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16.1. Agents to control acidity 16.1.1 Antacids 16.1.2 Proton pump inhibitors and antibiotics for Helicobacter pylori 16.1.3 Histamine H2 receptor antagonists 16.1.4 Misoprostol 16.1.5 Sucralfate 16.2. Prokinetics and emetics 16.2.1 Introduction to prokinetics 16.2.2 Prokinetic agents 16.2.3 Emesis with cytotoxic drugs and drugs for 16.2.4 Motion sickness and drugs for 16.2.5 Drugs for post-operative emesis 16.3. Agents used for diarrhea, constipation, irritable bowel syndrome 16.3.1 Treatment for diarrhea 16.3.2 Treatment for constipation 16.3.3 Treatment for opioid-induced constipation 16.4. Drugs for inflammatory bowel disease 16.4.1 Mesalazine 16.4.2 Glucocorticoids 16.4.3 Infliximab

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17.1 Drugs for bronchial asthma and Chronic Obstructive Pulmonary Disease (COPD) 17.1.1 Introduction to asthma 17.1.2 Introduction to COPD 17.1.3 Drug delivery by inhalation 17.1.4 Drugs to treat 17.1.4.1 β2-adrenoceptor agonists 17.1.4.2 Muscarinic receptor antagonists 17.1.4.3 Leukotriene receptor antagonists 17.1.4.4 Theophylline 17.1.4.5 Oxygen for COPD 17.1.5 Drugs to prevent asthma 31.5.1 Glucocorticoids 31.5.2 Cromolyn sodium 17.1.6 Combination to treat and prevent asthma 17.1.7 Drug for allergic asthma – omalizumab 17.1.8 Emergency treatment of asthma 17.2. Expectorants, mucolytics, cough and oxygen 17.2.1 Introduction to expectorants and mucolytics 17.2.2 Expectorants 17.2.3 Mucolytics 17.2.4 Cough 17.2.5 Oxygen 17.3. Drugs for rhinitis and rhinorrea 17.3.1 Introduction 17.3.2 Histamine and H1-receptor antagonists 17.3.3 Sympathomimetic 17.3.4 Muscarinic receptor antagonists 17.3.4 Cromolyn sodium 17.3.5 Glucocorticoids

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19.1 Depression and Antidepressants 19.1.1 Depression 19.1.2 Neurochemistry of Depression and the Monoamine Theory 19.1.3 Antidepressant Indications and Drug Classes 19.1.4 General Considerations with the use of Antidepressants 19.1.5 Tricyclic Antidepressants 19.1.6 Monoamine Oxidase Inhibitors 19.1.7 Selective Serotonin Reuptake Inhibitors 19.1.8 Combined Serotonin and Noradrenaline Reuptake Inhibitors 19.1.9 Long Term Adaptive Changes with Antidepressants 19.2 Psychosis, Schizophrenia, and Antipsychotics 19.2.1 Psychosis and Schizophrenia 19.2.2 Neurochemistry of Psychosis and the Dopamine Theory 19.2.3 Antipsychotic Drug Indications and Drug Classes 19.2.4 Antipsychotic Mechanisms of Action 19.2.5 Typical Antipsychotics (First Generation) 19.2.6 Atypical Antipsychotics (Second Generation) 19.3 Anxiety and Anxiolytics 19.3.1 Fear, Anxiety and Anxiety Disorders 19.3.2 Neurochemistry of Anxiety 19.3.3 Anxiolytic Drug Indications and Drug Classes 19.3.4 Benzodiazepines 19.3.5 Antidepressants 19.3.6 Buspirone

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20.1 Epilepsy and an introduction to drugs used to treat 20.1.1 Introduction to epilepsy 20.1.2 Treatment of partial seizures 20.1.3 Treatment of generalised seizures 20.1.4 Treatment of status epilepticus 20.2 Neurodegenerative disorders; principles of treatment 20.2.1 Introduction to neurodegenerative disorders 20.2.2 Parkinson’s disease 20.2.2.1 Introduction to Parkinson’s disease 20.2.2.2 Dopaminergic system 20.2.2.3 Treatment to enhance the dopaminergic system 20.2.2.4 Treatment to inhibit the cholinergic system 20.2.3 Dementia/Alzheimer’s disease 20.2.3.1 Introduction to Alzheimer’s disease 20.2.3.2 Treatment of Alzheimer’s disease 20.2.4 Amyotrophic lateral sclerosis 43.4.1 Introduction 43.4.2 Treatment 20.3. Pain and opioid analgesics 20.3.1 Introduction to pain and analgesia 20.3.2 Introduction to opioids 20.3.3 Tolerance and physical dependence 20.3.4 Effects of opioids 20.3.5 Agonists at opioid μ receptors 20.3.6 Toxicity to opioids This section deals with the neurologic drugs. The neurologic drugs are used to treat epilepsy and neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. The opioids for pain management are also discussed in this section.

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An introduction to anticancer drugs 24.1 Introduction 24.2 The rationale behind anticancer drug therapy 24.3 Drugs used in cancer 24.3.1 Alkylating agents 24.3.2 Cytotoxic antibiotics 24.3.3 Antimetabolites 24.3.4 Microtubule inhibitors 24.3.5 Monoclonal antibodies 24.3.6 Steroid hormones and their antagonists 24.3.7 Other treatments

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25. Drugs affecting blood 25.1 Introduction 25.2 Important dysfunctions of the blood system 25.3 Drugs used in to correct dysfunctions of the blood 25.3.1 Anti-thrombosis treatments 25.3.1.1 Platelet aggregation inhibitors 25.3.1.2 Anticoagulants 25.3.1.3 Thrombolytics 25.3.2 Treatments for anaemia 25.3.3 Treatments for bleeding disorders

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26.1 Migraine 26.2 Pathogenesis of Migraine 26.3 Cortical Spreading Depression 26.4 Neurogenic Inflammation Theory 26.5 Role of 5-HT in Migraine 26.6 Acute and Prophylactic Treatment of Migraine

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27. Drugs in pregnancy and labour 27.1 Introduction 27.2 Common complaints in pregnancy and labour and their treatments 27.2.1 Pre-eclampsia and eclampsia. 27.2.2 Suppression of early labour 27.2.3 Neonatal respiratory distress syndrome 27.2.4 Postpartum haemorrhage 27.2.5 Prolactin excess 27.2.6 Nausea

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A proposal has been posted on the ICTV website (2011. 001aG. N. v1. binomial_sp_names) to replace virus species names by non-Latinized binomial names consisting of the current italicized species name with the terminal word "virus" replaced by the italicized and non-capitalized genus name to which the species belongs. If implemented, the current italicized species name Measles virus, for instance, would become Measles morbillivirus while the current virus name measles virus and its abbreviation MeV would remain unchanged. The rationale for the proposed change is presented. © 2010 Springer-Verlag.

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• Road crashes as a cause of disability • Disability in the study of road safety • Thai spinal injury study – Contextual information – beliefs and community – Transport system and hidden safety costs – Cambodia experience – Pakistan fatalism study • Feedback to policies and programs

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The mining environment presents a challenging prospect for stereo vision. Our objective is to produce a stereo vision sensor suited to close-range scenes consisting mostly of rocks. This sensor should produce a dense depth map within real-time constraints. Speed and robustness are of foremost importance for this application. This paper compares a number of stereo matching algorithms in terms of robustness and suitability to fast implementation. These include traditional area-based algorithms, and algorithms based on non-parametric transforms, notably the rank and census transforms. Our experimental results show that the rank and census transforms are robust with respect to radiometric distortion and introduce less computational complexity than conventional area-based matching techniques.

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The mining environment, being complex, irregular and time varying, presents a challenging prospect for stereo vision. For this application, speed, reliability, and the ability to produce a dense depth map are of foremost importance. This paper assesses the suitability of a number of matching techniques for use in a stereo vision sensor for close range scenes consisting primarily of rocks. These include traditional area-based matching metrics, and non-parametric transforms, in particular, the rank and census transforms. Experimental results show that the rank and census transforms exhibit a number of clear advantages over area-based matching metrics, including their low computational complexity, and robustness to certain types of distortion.