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Majid Esmaeilpour and Mohammad Ranjbar

Abstract

The aim of the research was to examine the effects of satisfaction and commitment of employees on the employees’ loyalty and to investigate the effect of employees’ loyalty on quality of services provided for customers. This research is applied in terms of objective and correlational type of descriptive-survey in terms of data collection. Population of the research includes two groups. The first group included employees providing service to customers of Ports and Maritime Organization of Bushehr (Iran) and the second group included customers receiving the services of the organization. From both groups, 250 people were selected using available sampling method to respond to questions of the research. To test the research conceptual model and research hypotheses, structural equation modeling was used. The results showed that job satisfaction of employees have significant positive effect on organizational commitment of employees. Also, job satisfaction and organizational commitment of employees have significant positive effect on their loyalty to organization. In addition, organizational loyalty of employees has positive and significant impact on improving the quality of customer service. Therefore, organizations should make their effort to recruit employees who are suitable for their activities.

Open access

Mohammad Taghi Heydari and Sajad Ranjbar

Abstract

First, Halpern-type proximal point algorithm is introduced in complete CAT(0) metric spaces. Then, Browder convergence theorem is considered for this algorithm and also we prove that Halpern-type proximal point algorithm converges strongly to a zero of the operator.

Open access

Nourkhoda Sadeghifard, Reza Ranjbar, Javad Zaeimi, Mohammad Yousef Alikhani, Sobhan Ghafouryan, Mohammad Raftari, Ahmed Sahib Abdulamir, Ali Delpisheh, Reza Mohebi and Fatimah Abu Bakar

Abstract

Background: Multiple-drug resistant Acinetobacter have widely spread in the last decades imposing a serious nosocomial source of infection. Nevertheless, little knowledge was gaimed on tracing the development of antibiotic resistance in Acinetobacter species. Objectives: Explore Acinetobacter spp. via antimicrobial susceptibility, plasmid profiles, and random amplified polymorphism DNA polymerase chain reaction (RAPD-PCR) typing. Methods: One hundred twelve Acinetobacter isolates (including 66 A. baumannii and 46 non-Acinetobacter baumannii strains) were obtained from three university hospitals. The source of infection of these isolates included blood, urine, wound, and respiratory tract. Their susceptibilities to 17 antibiotics were tested and then all Acinetobacter isolates were typed by plasmid analysis and RAPD-PCR method. Results: A. baumannii isolates revealed nine different patterns of antibiotic resistance. Of those, non- A. baumannii, were associated with plasmid and RAPD-PCR typings (p <0.05). A. baumannii was more resistant to multiple antibiotics than non-A. baumannii (p <0.05). Seven different plasmid profiles were observed among 112 Acinetobacter isolates. Plasmids were found in 107 (95.5%) of the 112 isolates. Unlike in RAPD-PCR typing, there was no difference between the type of Acinetobacter, A. or non-A. baumannii strains and plasmid profiles (p >0.05). By RAPD-PCR, six profiles were found for each A. and non-A. baumannii strains. The pattern 6 was the most common pattern among the isolates. Both plasmid and RAPD-PCR typing showed no association between plasmid profiling and site of infection (p >0.05). Conclusion: There is a wide spread of multi-drug resistant Acinetobacter spp., particularly A. baumannii, in the Middle East region that can be traced efficiently by plasmid and genotyping typing of Acinetobacter. More care should be taken for tracing the development of antimicrobial resistance of Acinetobacter using precise molecular typing techniques.

Open access

Abolfazl Ranjbar, Marzieh Taabe, Seiied Hojjat Mousavi and Mohammad Khosroshahi

Abstract

Proper management of natural ecosystems is not possible without the knowledge of the health status of its components. Vegetation, as the main component of the ecosystem, plays an important role in its health. One of the key determinants of vegetation health is its resilience in the face of environmental disorders. This research was conducted in parts of the Namakzar-e Khaf watershed in Northeast of South Khorasan Province with the aim of quantifying the vegetative resilience on behalf of the ecosystem health in response to long-term precipitation changes. First, the annual precipitation standardization was performed during a thirty-year period by the SPI method. Then, the average variation in TNDVI index obtained from the Landsat satellite images was examined and the resilience was tested by calculating the four effective factors (amplitude, malleability, damping and hysteresis). According to the results, the amplitude in the survey period was 6.04% and the vegetation has had different values of damping over the years. The most prominent example of vegetation resilience occurred between 1986 and 1996, with malleability of 0.7 and damping of zero. Vegetation in this period, after the elimination of drought effects (1986), has not only returned to the amount of vegetation of reference year with severe precipitation (1996) but also increased by 0.25%. This increase, as the index of hysteresis, has been presented for the first time in the ecosystem health discussion quantitatively in the present study. A set of quantitative calculations showed that despite reduced annual precipitation and drought events, the vegetation has been able to maintain its resilience, which indicates the health of vegetation in the studied ecosystem.