Fine-tuning snowflake fractal antennas

We present a simple yet effective approach for fine-tuning operating frequencies of snowflake fractal antennas. Given a basic design, a set of numerical simulations involving alternative corner angles are carried out to compute their isolated effects on frequency bands. Then, the effects of consecutive modifications are estimated and used to identify possible combinations for shifting the frequencies in the desired ranges. The effects of corner angles are almost independent of each other, leading to accurate estimations that allow for easy tuning of these antennas without time-consuming optimizations

Evaluation of bone plate with low-stiffness material in terms of stress distribution

WOS: 000261657000020PubMed ID: 18805533The aim of this study is to evaluate a newly developed bone plate with low-stiffness material in terms of stress distribution. In this numerical study, 3D finite element models of the bone plate with low-stiffness material and traditional bone plates made of stainless steel and Ti alloy have been developed by using the ANSYS software. Stress analyses have been carried out for all three models under the same loading and boundary conditions. Compressive stresses occurring in the intact portion of the bone (tibia) and at the fractured interface at different stages of bone healing have been investigated for all three types of bone-plate systems. The results obtained have been compared and presented in graphs. It has been seen that the bone plate with low-stiffness material offers less stress-shielding to the bone, providing a higher compressive stress at the fractured interface to induce accelerated healing in comparison with Ti alloy and stainless-steel bone plate. In addition, the effects of low-stiffness materials with different Young's modulus on stress distribution at the fractured interface have been investigated in the newly developed bone-plate system. The results showed that when a certain value of Young's modulus of low-stiffness material is exceeded, increase in stiffness of the bone plate does not occur to a large extent and stress distributions and micro-motions at the fractured interface do not change considerably. (C) 2008 Elsevier Ltd. All rights reserved

Evaluation of the demographic, etiological & the costs of drug intoxication

Cases of intoxication are among the common medical emergencies. Cases of suicidal drug intoxication are more common among young people. Based on this information, our study aimed to identify the demographic and etiological characteristics of cases of drug intoxication and their costs to the social security institution. The files of patients diagnosed with drug intoxication in the adult emergency department of Kahramanmaraş Sutcu Imam University Medical Faculty Hospital between 01.01.2022 and 31.12.2022 were reviewed retrospectively from the automation system. In our study, the data of 110 patients admitted to the emergency department with a clinical picture of drug-related intoxication were evaluated. 75.5% of the patients were female and 40% of them were in the 18-24 age group. It was determined that 92.7% of the patients took the drug that caused intoxication for suicidal purposes and that psychiatric agents constituted a significant part of the drugs taken. Treatment costs increased significantly in cases of suicidal drug intake and multiple drug intake. The length of hospital stay and the cost of treatment increased as the time between the time of drug intake and the hospital arrival time increased. Most of the drug-related intoxications occurred due to suicidal intake. Most of the drugs used for this purpose were analgesics and psychiatric drugs. Emergency departments are the first places where patients with drug intoxication are evaluated, and all physicians working in the emergency department should know the approach to intoxication very well. [Med-Science 2023; 12(2.000): 462-5

Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV mortality prediction score (IMPRES)

KUCUK, Ahmet Oguzhan/0000-0002-6993-0519; Kirakli, Cenk/0000-0001-6013-7330; KUCUK, Mehtap PEHLIVANLAR/0000-0003-2247-4074; Aksoy, Iskender/0000-0002-4426-3342WOS: 000504051300010PubMed: 31655511Background/aim: The present study aimed to define the clinical and laboratory criteria for predicting patients that will not benefit from invasive mechanical ventilation (IMV) treatment and determine the prediction of mortality and prognosis of these critical ill patients. Materials and methods: The study was designed as an observational, multicenter, prospective, and cross-sectional clinical study. It was conducted by 75 researchers at 41 centers in intensive care units (ICUs) located in various geographical areas of Turkey. It included a total of 1463 ICU patients who were receiving invasive mechanical ventilation (IMV) treatment. A total of 158 parameters were examined via logistic regression analysis to identify independent risk factors for mortality; using these data, the IMV Mortality Prediction Score (IMPRES) scoring system was developed. Results: The following cut-off scores were used to indicate mortality risk: 8, very high risk. There was a 26.8% mortality rate among the 254 patients who had a total IMPRES score of lower than 2. The mortality rate was 93.3% for patients with total 1M PRES scores of greater than 8 (P < 0.001). Conclusion: The present study included a large number of patients from various geographical areas of the country who were admitted to various types of ICUs, had diverse diagnoses and comorbidities, were intubated with various indications in either urgent or elective settings, and were followed by physicians from various specialties. Therefore, our data are more general and can be applied to a broader population. This study devised a new scoring system for decision-making for critically ill patients as to whether they need to be intubated or not and presents a rapid and accurate prediction of mortality and prognosis prior to ICU admission using simple clinical data