75 research outputs found
Viscous Heating Effects on Heat Transfer Characteristics of an Explosive Fluid in a Converging Pipe
Viscous dissipation is the production of heat due to the slip of fluid layers and can raise the temperature of the fluid that is affected by high shear stresses. This raise of temperature in fluids with explosive properties can cause the explosion during the processing. The present paper investigates the temperature distribution of an explosive fluid beside the wall of a converging tube. This study has been done by using the computational fluid dynamics and OpenFOAM software. The studied cases contain the fluid with two viscosities (50 and 500 kg/m Ă s) and two inlet conditions (constant and developed velocity profile). The results of this study show that at the end of a converging pipe, duo to the viscous dissipation effects, the temperature rise for high viscosity fluid is more intensive and this is a dangerous fact for high viscosity explosive fluids discharging. Also, it has been considered that the constant inlet velocity is safer in comparison with the developed profile, as the slope of temperature rise is less
Acute Hydrocephaly Following Methadone Intoxication in a Child
How to Cite this Article: Fayyazi A, Khajeh A, Bagheri M, Ahmadi S. Acute Hydrocephaly Following Methadone Intoxication in a Child. Iranian Journal of ChildNeurology 2012;6(1):35-38.Infantile methadone intoxication has been on the rise since the usage of methadone in opioid detoxification programs. We report a 30-month-old child with encephalopathy and acute hydrocephaly following methadone intoxication. References:1. Nazari H. Clinical approach to methadone toxication.Quarterly journal of Addiction 2007;2:18-20.2. Plummer JL, Gourlay GK, Cherry DA, Cousins MJ.Estimation of methadone clearance: application in themanagement of cancer pain. Pain 1988 Jun;33(3):313-22.3. Davies D, DeVlaming D, Haines C. Methadoneanalgesia for children with advanced cancer. PediatrBlood Cancer 2008 Sep;51(3):393-7.4. Riascos R, Kumfa P, Rojas R, Cuellar H, Descartes F.Fatal methadone intoxication in a child. Emerg Radiol2008 Jan;15(1):67-70.5. Binchy JM, Molyneux EM, Manning J. Accidental ingestion of methadone by children in Merseyside.BMJ 1994 May 21;308(6940):1335-6.6. Li L, Levine B, Smialek JE. Fatal methadone poisoningin children: Maryland 1992-1996. Subst Use Misuse2000 Aug;35(9):1141-8.7. Milroy CM, Forrest AR. Methadone deaths: atoxicological analysis. J Clin Pathol 2000 Apr;53(4):277-81.8. Afzali S, Jafari MR. One year study of chest X-raychanges in opiate-poisoned patients in Hamadan. JQom Uni Med Sci 2010; 4(2):3-7.9. Zamani N, Sanaei-Zadeh H, Mostafazadeh B. Hallmarksof opium poisoning in infants and toddlers. Trop Doct2010 Oct; 40(4):220-2.10. Besharat S, Besharat M, Akhavan Masouleh A, JabbariA, Yazdi HR. Opium intoxication in children under 5years old, Golestan- Iran (2006-07). J Gorgan Uni MedSci Spring 2010;12(1):85-9.11. Izadi Mood N, Gheshlaghi F, Sharafi SE. Fatalpoisoning cases admitted to the emergency departmentof poisoning, Noor Hospital, Isfahan. J Legal Med IslRep Iran 2003;9(31):122-26.12. Boushehri B, Yekta Z, Zareei-Kheirabad A, Kabiri SH,Kazempour A. Determining the frequency of poisoningwith chemical agents and drugs in hospitalized patientsof Taleghani Hospital Uromieh, 2001-2004. J LegalMed Isl Rep Iran2004;10(35):126-131.13. Cheraghali F, Taymori M. Epidemiological study ofdrug intoxication in children. Acta Medica Iranica2006;44(1):37-40.14. Iran Ministry of Health report: some case reports ofoccasional methadone toxication in infants. QuarterlyJ Addiction 2007;2:26.15. Geibprasert S, Gallucci M, Krings T. Addictiveillegal drugs: structural neuroimaging. AJNR Am JNeuroradiol 2010 May;31(5):803-8.16. Malloy S, Soh C, Williams TL. Reversible delayed posthypoxic leukoencephalopathy. AJNR Am J Neuroradiol2006 Sep;27(8):1763-5.17. Glatstein M, Finkelstein Y, Scolnik D. Accidentalmethadone ingestion in an infant: case report andreview of the literature. Pediatr Emerg Care 2009Feb;25(2):109-11
An exploration study on factors influencing green marketing
These days, there have been tremendous efforts on offering products, which are environment friendly. Green marketing plays an important role for attracting new customer and customer retention. This paper presents an empirical investigation based on the implementation of factor analysis to locate important factors influencing green marketing planning and strategies. building market oriented business units. The study designs a questionnaire including 23 questions and the questionnaire was distributed among 200 people who were visiting organic product exhibition. Cronbach alpha was calculated as 0.845, which is well above the minimum acceptable limit and validates the results. The results of factor analysis reveal four major factors including green labeling, compatibility, product value and marketing component and size
Colchicine Overdose in a Suicidal Attempt
Colchicine overdose is uncommon; however, it can cause serious adverse effects and even death. Colchicine inhibits microtubule polymerization, causing mitotic spindle disruption. Ingesting Ë0.5 mg of colchicine per kilogram bodyweight causes severe adverse effects and can even be fatal. Therefore, colchicine toxicity must be accurately monitored and managed.In this case report, we described a 21-year-old woman who attempted suicide by the ingestion of an estimated 30 mg colchicine. She was admitted to the hospital due to severe abdominal and chest pain, vomiting, lethargy, and weakness. The patient was medicated with ondansetron, apotel, antibiotics, platelet transfusions, sodium phosphate, calcium gluconate, calcitriol, desmopressin acetate, Granulocyte-Colony Stimulating Factor (G-CSF), and sodium bicarbonate. Fortunately, through the appropriate medical treatment, the signs and symptoms of colchicine toxicity were relieved and the patient survived despite the high colchicine serum level
Effect of Simulation-Based Debriefing on Nursing Studentsâ Competence in Medication Administration: An Experimental Study
Background: Medication error represents one of the parameters of patient safety. Objectives: The aim of present study was to investigate the effect of the effect of simulation-based debriefing on adherence to correct principles and medication administration competence in nursing students. Methods: Internship nursing students entered this experimental study using the census method. Afterward, the participants were assigned to intervention (n=18) and control (n=17) groups. Two methods were employed for data collection, namely observation and self-report questionnaires. The collected data were analyzed using STATA software (version 12) and non-parametric statistical tests. Results: A significant statistical difference was found between the mean scores of adherence to correct principles of medication administration and medication administration competence before, 2, and 5 weeks after the simulation in the intervention group (P=0.0001). Conclusion: The results revealed that the simulation-based debriefing improved the nursing studentsâ competence in medication administration. Therefore, this method in various groups of students and a clinical and practical environment is highly recommended for other students in clinical settings. Keywords: Students, Nursing, Medication Errors, Simulation Trainin
Therapeutic Options and Critical Care Strategies in COVID-19 Patients; Where Do We Stand in This Battle?
A pandemic of COVID-19 made an appearance in Wuhan, China, in late December 2019 and rapidly became a serious concern worldwide, with killing more than 238000 people until 3rd May 2020. Given the fact that a vaccine against the virus probably wonât be available anytime in the near future, the therapeutic strategies have become more prominent. Many supposedly effective drugs are under evaluation which may hinder the replication of SARS-CoV-2, and subsequently the infection. Lately on 1th may 2020, FDA authorized the use of experimental drug, Remdesivir for "emergency purpose" in COVID-19 cases. Chloroquine and hydroxychloroquine, among the very first under-trial drugs, have been revealed to have promising impacts in treatment of SARS-CoV2. Broad-spectrum antivirals as well as HIV protease-inhibitors are still subject to assessment. Particularly angiotensin-converting enzyme 2 (ACE2) inhibitors are increasingly taken into consideration because of ACE2 being recognized as a host-cell receptor for COVID-19. Immune-Enhancement therapy by Interferons and Intravenous immunoglobulin (IVIG) has been shown to be effective in some cases. Moreover, Convalescent Plasma Therapy and auxiliary blood purification were considered as the treatment of SARS-CoV2 infection. Among the critically ill patients, Oxygen-therapy, timely usage of inflammatory inhibitors, and controlling viral shedding by antivirals may reduce the mortality and morbidity of COVID-19
The Effect of Remote Ischemic Preconditioning on the Incidence of Acute Kidney Injury in Patients Undergoing Coronary Artery Bypass Graft Surgery: A Randomized Controlled Trial
Background: Remote ischemic preconditioning (RIPC) protects other organs from subsequent lethal ischemic injury, but uncertainty remains. We investigated if RIPC could prevent acute kidney injury (AKI) in patients undergoing coronary artery bypass graft (CABG) surgery.
Methods: This parallel-group, double-blind, randomized, controlled trial was done on adults undergoing elective or urgent on-pump CABG surgery from 2013 to 2017 in Shiraz, Iran. Patients were allocated to RIPC or control groups through permuted blocking. The patients in the RIPC group received three cycles of 5 min ischemia and 5 min reperfusion in the upper arm after induction of anesthesia. We placed an uninflated cuff on the arm for 30 min in the control group. The study primary endpoint was an incidence of AKI. Secondary endpoints included short-term clinical outcomes. We compared categorical and continuous variables using Pearson Ï2 and unpaired t tests, respectively. P<0.05 was considered significant.
Results: Of the 180 patients randomized to RIPC (n=90) and control (n=90) groups, 87 patients in the RIPC and 90 patients in the control group were included in the analysis. There was no significant difference in the incidence of AKI between the groups (38 patients [43.7%] in the RIPC group and 41 patients [45.6%] in the control group; relative risk, 0.96; 95% confidence interval, 0.69 to 1.33; P=0.80). No significant differences were seen regarding secondary endpoints such as postoperative liver function, atrial fibrillation, and inpatient mortality.
Conclusion: RIPC did not reduce the incidence of AKI, neither did it improve short-term clinical outcomes in patients undergoing on-pump CABG surgery.
Trial Registration Number: IRCT2017110537254N1
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
Brain tumors are the most common solid tumors and the leading cause of
cancer-related death among children. Tumor segmentation is essential in
surgical and treatment planning, and response assessment and monitoring.
However, manual segmentation is time-consuming and has high inter-operator
variability, underscoring the need for more efficient methods. We compared two
deep learning-based 3D segmentation models, DeepMedic and nnU-Net, after
training with pediatric-specific multi-institutional brain tumor data using
based on multi-parametric MRI scans.Multi-parametric preoperative MRI scans of
339 pediatric patients (n=293 internal and n=46 external cohorts) with a
variety of tumor subtypes, were preprocessed and manually segmented into four
tumor subregions, i.e., enhancing tumor (ET), non-enhancing tumor (NET), cystic
components (CC), and peritumoral edema (ED). After training, performance of the
two models on internal and external test sets was evaluated using Dice scores,
sensitivity, and Hausdorff distance with reference to ground truth manual
segmentations. Dice score for nnU-Net internal test sets was (mean +/- SD
(median)) 0.9+/-0.07 (0.94) for WT, 0.77+/-0.29 for ET, 0.66+/-0.32 for NET,
0.71+/-0.33 for CC, and 0.71+/-0.40 for ED, respectively. For DeepMedic the
Dice scores were 0.82+/-0.16 for WT, 0.66+/-0.32 for ET, 0.48+/-0.27, for NET,
0.48+/-0.36 for CC, and 0.19+/-0.33 for ED, respectively. Dice scores were
significantly higher for nnU-Net (p<=0.01). External validation of the trained
nnU-Net model on the multi-institutional BraTS-PEDs 2023 dataset revealed high
generalization capability in segmentation of whole tumor and tumor core with
Dice scores of 0.87+/-0.13 (0.91) and 0.83+/-0.18 (0.89), respectively.
Pediatric-specific data trained nnU-Net model is superior to DeepMedic for
whole tumor and subregion segmentation of pediatric brain tumors
- âŠ