11 research outputs found

    A new hybrid method for solving nonlinear fractional differential equations

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    In this paper, numerical solution of initial and boundary value problems for nonlinear fractional differential equations is considered by pseudospectral method. In order to avoid solving systems of nonlinear equations resulting from the method, the residual function of the problem is constructed, as well as a suggested unconstrained optimization model solved by PSOGSA algorithm. Furthermore, the research inspects and discusses the spectral accuracy of Chebyshev polynomials in the approximation theory. The following scheme is tested for a number of prominent examples, and the obtained results demonstrate the accuracy and efficiency of the proposed method

    Polarized heavy baryon production in quark-diquark model considering two different scenarios

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    At sufficiently large transverse momentum, the dominant production mechanism for heavy baryons is actually the fragmentation. In this work, we first study the direct fragmentation of a heavy quark into the unpolarized triply heavy baryons in the leading order of perturbative QCD. In a completely different approach, we also analyze the two-stage fragmentation of a heavy quark into a scalar diquark followed by the fragmentation of such a scalar diquark into a triply heavy baryon: quark-diquark model of baryons. The results of this model are in acceptable agreement with those obtained through a full perturbative regime. Relying on the quark-diquark model and considering two different scenarios we determine the spin-dependent fragmentation functions of polarized heavy baryons in such a way that a vector or a pseudoscalar heavy diquark is an intermediate particle between the initial heavy quark and the final state baryon

    The impact of job rotation on nurses burnout in Ayatollah Kashani hospital, Tehran: A case study

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    Background and aimsĀ Job burnout is one of the syndromes which is known by emotional exhaustion, depersonalization, and deterioration of job performance. Due to the negative impact this syndrome on patients, employees, and organization in healthcare settings this issue has drawn attention of many researchers to itself during recent years. Despite the large number of publications in this area however, limited attention has been paid to the factors influencing job burnout. The goal of the present study was to determine the level of job burnout and impacts of job rotation on nurses burnout in Ayatollah Kashani hospital , Tehran. Ā  MethodsĀ In order to do this research a historical cohort study was done to determine degree of job burnout among nurses with and without job rotation in Ayatollah Kashani Hospital in Tehran. The number for nurses with job rotation was (n=59) and without job rotation (n=29). Data was collected via a self-report ques tionnaire. Maslach Burnout Inventory (MBI) was used to assess the job burnout of the subjects. Ā  ResultsĀ The overall findings revealed that nurses had low level of emotional exhaustion, low level of depersonalization and middle level of declining in personal accomplishment. No significant difference was observed between the job burnout of the tow group of nurses - with and without rotation. In comparing the level of job burnout among the nurses of different wards (i.e. between wards comparison) the findings revealed that nurses of the emergency ward, had higher rate of depersonalization (P=0.012). ConclusionĀ The nurses burnout showed to be at the medium level with respect to the personal accomplishment subscale, which seems to require a managerial intervention in this hospital. Apparently job rotationĀ as it is done currently has no significant impact on the nursesā€™ job burnout in Ayatollah Kashani hospital and these researchers suggest that other alternative approaches to be considerĀ  to be used to improve personal accomplishment and to decrease job burnout among the investigated nurses

    The impact of job rotation on nurses' burnout in Ayatollah Kashani hospital, Tehran: A case study

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    Background and aim: Job burnout is a syndrome which is known by emotional exhaustion, depersonalization, and deterioration of job performance. Due to the negative impacts of this syndrome on patients, employees, and organization in healthcare settings this issue has drawn attention of many researchers during recent years. Despite the large number of publications in this area, limited attention has been paid to the factors influencing job burnout. The aim of the present study was to determine the level of job burnout and impacts of job rotation on nurses burnout in Ayatollah Kashani hospital, Tehran. Methods: In order to conduct this research a historical cohort study was performed to determine degree of job burnout among nurses with and without job rotation in Ayatollah Kashani Hospital in Tehran. The number of nurses with job rotation was (n=59) and without job rotation (n=29). Data was collected via a self-report questionnaire. Maslach Burnout Inventory (MBI) was used to assess the job burnout of the subjects. Results: The overall findings revealed that nurses had low level of emotional exhaustion, low level of depersonalization and middle level of declining of personal accomplishment. No significant difference was observed between the job burnout of the tow groups of nurses - with and without rotation. In comparing the level of job burnout among the nurses of different wards (i.e. between wards comparison) the findings revealed that nurses of the emergency ward, had higher rate of depersonalization (P=0.012). Conclusion: The nurses' burnout showed to be at the medium level with respect to the personal accomplishment subscale, which seems to require a managerial intervention in this hospital. Apparently current job rotation schedule has had no significant impact on the nurses' job burnout in Ayatollah Kashani hospital and the obtained results suggest that other alternative approaches need to be considered to improve personal accomplishment and to decrease job burnout among nurses

    Forensic engineering analysis applied to flood control

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    This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recordFloods have various impacts, including loss of life and damage to property. Flood- management reservoirs can help mitigate floods, but their operation can also worsen flood impacts. This paper presents a novel forensic engineering approach to assess the role of reservoir operation on flood control. Fourteen criteria are employed for assessing forecast-based prereleases of water from reservoir storage to reduce the impact of flooding. The proposed approach is applied for forensic assessment of the system performance of reservoirs during the large flood of 2019 in southwestern Iran (the Great Karun Basin). The two main study areas are in the sub-basins of Karun and Dez. Results concerning two key performance criteria (the peak discharge reduction (PDR) and flood volume reduction (FVR)) show the PDR criterion in the Karun sub-basin multi-reservoir system reached about 79% (where 100% is the theoretically best performance) under historic operations (actual operating conditions in 2019), and improved from 8 to 19% if various prerelease operations were made. The FVR achieved about 33% in the historical situation and improved from 20 to 59% under prerelease operations scenarios, respectively. The PDR criterion achieved 26% under the historical scenario, but with better operation could exceed 55% in the Dez sub-basin multi-reservoir system, whereas FVR was as low as 11% in 2019 but could be raised to between 15 and 25% under prerelease operations. This forensic work's assessments establish that improved reservoir operation could be achieved by applying specialized operation approaches.Iran National Science Foundation (INSF
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