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Background: In this comprehensive study, the prevalence of sepsis, a potentially life-threatening condition, was investigated among 477 patients displaying sepsis symptoms.
Materials & Methods: A detailed questionnaire was used to capture the patients' demographic information and clinical treatment outcomes.The E-test method was employed to determine the susceptibility of Gram-positive bacteria to vancomycin and Gram-negative bacteria to cefepime, ceftriaxone, and imipenem.
Findings: Among the participants, 40 patients (8.6%) were diagnosed with septicemia, a condition whose prevalence significantly increased with age (p= .001). Out of 40 patients with positive blood cultures, 14 (35%) were infected by Gram-positive bacteria, while 26 (65%) were infected by Gram-negative bacteria. Acinetobacter lwoffii and Staphylococcus epidermidis were identified as the most common causes of sepsis among Gram-negative (30.7%) and Gram-positive (57.1%) bacteria, respectively Gram-negative bacteria exhibited the highest resistance to ceftriaxone (38.4%) and the highest susceptibility to imipenem (84.6%) in both laboratory and clinical settings. Gram-positive bacteria demonstrated the high susceptibility to vancomycin (78.5%), with only four patients exhibiting resistance to vancomycin in both laboratory and clinical settings. Encouragingly, there was a 77.5% concordance between laboratory and clinical antibiotic susceptibility testing results.
Conclusion: Based on these findings, vancomycin and imipenem are recommended as the preferred antibiotics for Gram-positive and Gram-negative bacteria, respectively. Given the high concordance (77.5%) between laboratory and clinical results, it is suggested to perform antibiogram test using E-test method on blood culture isolates in septicemia cases to guide appropriate antibiotic treatment.

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Electro hydraulic servo systems (EHSS) are widely used in all aspects of industry, due to their ability to handle large torque loads and quick response. According to the wide range of use, the desired control objectives for EHSS are: velocity, force/torque and position control. Existing approaches for control of electro hydraulic servo systems are in the presence of external noises, internal friction and non-linearity in the model behavior which is considered as uncertainty parameters. In this paper fuzzy intelligent controller by using parallel distributed compensator (PDC) method based on Takagi-Sugeno is used. The controller is designed for a high level performance (velocity control) which could reach the main control goals. The concluding results of this approach best fit the other researches data.