121 research outputs found
Surface directed electrokinetic flows in microfluidic devices:
Electroosmotic flow control in microfluidic devices is an important and challenging problem, as electroosmosis directly influences separation efficiencies in lab-on-chip applications. In this study, a non-mechanical passive flow directing method is presented for electrokinetically driven flow. Due to the high surface-area-to-volume (SA/V) ratio, surface properties dominate the flow in microfluidic channels. For electrokinetically driven flows, the main surface property affecting electroosmotic flows is the surface ζ potential, which is related to the effective surface charge density. By changing the effective surface charge density, the electroosmotic flow rates of charged species can be controlled in microfluidic channels. In this work, to change the effective surface charge density, surfaces were chemically modified with –Br, –NH2 and –CH3 functional groups by ‘click’ chemistry. Since these functional surface layers are integrated within model glass microfluidic devices prepared by standard microfabrication procedures, the first step was to investigate the stability of the adherent surface layers to a variety of microfabrication conditions. A model “Y” shaped glass microfluidic device was developed. One leg of this model microfluidic device was selectively chemically modified to alter the ζ potential and thereby increase or decrease the electroosmotic flow with respect to rest of the device. Electroosmotic flow is visualized by using marker dyes under a fluorescent microscope. In addition, experiments were validated by using the CFD code in COMSOL. The experiments concluded that the surface layers are stable to a variety of conditions including a wide pH range (pH 3 – pH 11), solvent exposure, acid and base exposure, and UV light. Extreme conditions such as a piranha solution or oxidative plasma degrade the surface layers. Electrokinetic flow experiments show that depending on the charge of a species the electroosmotic flow is preferentially directed as a function of the ζ potential in the microfluidic channels.M.S.Includes bibliographical references (p. 78-81)by Mehmet Basar Karaco
Chronic abdominal pain in a patient with Escobar Syndrome
Erdivanli, Basar/0000-0002-3955-8242Escobar syndrome is characterized with multiple pterygia or webs of the skin and multiple congenital anomalies. We present a 15-year-old patient with Escobar syndrome who complained of persistent blunt abdominal pain for 1 year. Preoperative evaluation confirmed the diagnosis of imperforate hymen, and the patient underwent hymenectomy under intravenous sedation. the patient's postoperative course was uneventful and her complaints resolved completely. After a 3-month follow-up, she reported having normal menstrual bleeding intervals each month without any complications. Patients with Escobar syndrome may suffer from abdominal pain due to imperforate hymen. Careful evaluation of these patients must include a complete gynaecological assessment and, if indicated, surgical treatment must be performed without delay. (C) 2014 S. Karger AG, Base
Effect of cooled hyperbaric bupivacaine on unilateral spinal anesthesia success rate and hemodynamic complications in inguinal hernia surgery
Cooling of hyperbaric bupivacaine to 5 A degrees C increased the density and viscosity of the solution and the success rate of unilateral spinal anesthesia, and decreased the hemodynamic complication rate
Comparison of the Effects of Minimal and High-Flow Anaesthesia on Cerebral Perfusion During Septorhinoplasty
Comparison of King Vision video laryngoscope and Macintosh laryngoscope: a prospective randomized controlled clinical trial
Ultrasound evaluation of gastric emptying and comparison with patient-reported risk factors in elective surgical patients
Background/Objectives: Despite standard preoperative fasting guidelines, residual gastric content can persist in some patients, increasing the risk of aspiration pneumonitis. Multiple patient-specific factors may predict gastric content retention, but their predictive accuracy is limited. We hypothesized that ultrasound would more reliably identify residual gastric content compared to a comprehensive questionnaire and aimed to determine the most practical approach for risk assessment in elective surgical patients. Methods: We conducted a prospective, observational study in adult patients scheduled for elective surgery at a single center. All participants adhered to an 8 h fasting period. The primary outcome was the incidence of a “full stomach” on ultrasound. Secondary outcomes included the Perlas risk classification, comparisons of established volume estimation formulas, correlations with self-reported fasting duration, agreement between questionnaire-based predictions and ultrasound findings, and the time efficiency of each method. Multivariable logistic regression and Cohen’s kappa were used for analyses. Results: Data from 404 patients were analyzed. Despite prolonged fasting, 16.3% had a full stomach by ultrasound, suggesting incomplete gastric emptying. Early satiety and cholelithiasis significantly predicted a full stomach; prolonged fasting duration and female sex were protective. Questionnaire-based predictions demonstrated fair agreement with ultrasound (kappa = 0.327). The Michiko formula often yielded negative volumes, highlighting limitations in volume estimations. Ultrasound examination (3 min median) was faster than questionnaire completion (5 min). Conclusions: Ultrasound accurately detects residual gastric content, outperforming questionnaire-based assessments. Integrating it into routine preoperative evaluation may improve patient safety, although research is needed to refine volume estimation formulas and expand feasibility for patients with positioning limitations
The Effect of Thyroid Lobe Volume on the Common Carotid Artery Blood Flow in Thyroidectomy Position
Background/Objectives: This study investigates the effect of thyroid lobe size on common carotid artery hemodynamics during thyroidectomy. While prior research has reported reduced carotid blood flow during the procedure, the impact of thyroid size remains unclear. We hypothesized that larger thyroid lobes may influence carotid flow dynamics via external compression. Methods: Adult patients undergoing elective thyroidectomy were prospectively included. Doppler ultrasonography measured carotid artery diameters and flow characteristics at three time points: before anesthesia induction, after induction, and after surgical positioning. Regional cerebral oximetry was recorded. Each carotid artery was analyzed separately. Results: Data from 202 carotid arteries (132 patients) were analyzed. Baseline carotid diameters and flow velocities were similar between patients with normal and large thyroid lobes. Anesthesia induction reduced flow velocities in all patients. After surgical positioning, patients with large thyroid lobes had significantly increased peak systolic velocity, leading to an overestimation of carotid blood flow, when using formula-based calculations. Manually traced Velocity Time Integral confirmed the increase in peak systolic velocity and a shortened systolic/diastolic ratio in these patients. Receiver operating characteristic analysis identified a thyroid lobe volume cutoff of 19.7 mL (AUC: 0.93, Sensitivity: 85%, Specificity: 98%). Regional cerebral oxygen saturation remained unchanged (p > 0.05). Conclusions: Larger thyroid lobes are associated with altered carotid flow dynamics during thyroidectomy, emphasizing diastolic flow. While these findings provide insight into thyroid-related hemodynamic changes, their applicability to patients with pre-existing carotid stenosis or peripheral artery disease remains uncertain, as our study population did not include such cases
Topics in decentralized detection
In this thesis we obtain several new results in the areas of decentralized sequential detection and robust decentralized detection.In the area of decentralized sequential detection, we first consider the case in which each sensor performs a sequential test on its observations and arrives at a local decision about the true hypothesis; subsequently, the local decisions of all of the sensors are used for a common purpose. Here we assume that decision errors at the sensors are penalized through a common cost function and that each time step taken by the detectors as a team is assigned a positive cost. We show that optimal sensor decision functions can be found in the class of generalized sequential probability ratio tests with monotonically convergent thresholds. We present a technique for obtaining optimal thresholds.We also consider the case in which each sensor sends a sequence of summary messages to a fusion center in which a sequential test is carried out to determine the true hypothesis. Here we assume that decision errors at the fusion center are penalized through a cost function and that each time step taken to arrive at the final decision costs a positive amount. We show that the problem is tractable when the information structure in the system is quasiclassical. In particular, we show that an optimal fusion center policy has a simple structure resembling a sequential probability ratio test and that a stationary set of monotone likelihood ratio tests is optimal at the sensors. Finally, we compute the optimal decision functions for some representative examples.In the area of robust decentralized detection, we consider the case in which the sensor distributions are assumed to belong to known uncertainty classes. We show for a broad class of such decentralized detection problems that a set of least favorable distributions exists for minimax robust testing between the hypotheses. We thus establish that minimax robust tests are obtained as solutions to simple decentralized detection problems in which the sensor distributions are specified to be the least favorable distributions.Made available in DSpace on 2011-05-07T12:48:37Z (GMT). No. of bitstreams: 2
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