Factors Influencing Staff Loyalty to Organization from the Viewpoints of Employees and managers in Rafsanjan University of Medical Sciences

Background & Objectives: One of the most important factors for the maintenance and improvement of each organization is its employees’ loyalty to the organization. The aim of this study was to determine the factors affecting employees’ loyalty to the organization from the perspective of staff and managers at Rafsanjan University of Medical Sciences. Methods: From the perspective of staff, the coefficient between the variables of employees’ loyalty to the organization and the components of organizational commitment, organizational support and condition, financial benefits and independence and autonomy were 0.412 and 0.192, 0.466 and 0.321, respectively, which shows a significant relationship between staff loyalty to the organization and the mentioned components. From the managers’ perspective, the coefficients between employees’ loyalty to the organization and the components of organizational commitment, organizational support and also job-organizational conditions were 0.261, 0.464 and 0.442, respectively, which indicates a significant relationship between the loyalty of employees and the mentioned components. Results: Among 159 people died, 69% were girls and 31% were boys. The most kind of accidents occurred to them were injury (39.67%), poisoning (20.56%), and falling (15.11%). Accidents range was higher among girls and among 3-4-year-old children. Age, Sex, and season of death did not have any correlation with the kind of accident however there was a significant correlation between accidents occurred amongunder-5-year-old children and their season of death. Conclusion: Through establishing critical thinking in the organization, employees can directly express their views and criticisms to the managers, so that the perceptual gap between managers and employees will be reduced. This will make employees more loyal to the organization. Key­words: Employee, Loyalty, Managers, University of Medical Sciences ­Citation: Zeinali H, Mirzayi A, Purkhalui E. Factors Influencing Staff Loyalty to Organization from the Viewpoints of Employees and managers in Rafsanjan University of Medical Sciences. Journal of Health Based Research 2019; 5(2): 151-64. [In Persian

Comparative survey on anesthetizing effects of medicinal herbs Valerian officinalis, Melissa officinalis, Papaver somniferum, and Papaver bracteatum on gold fish (Carassius auratus)

Anesthetic drugs are widely used aquaculture farms and can create consumption problems for humans, so there is a great need to safer drugs. With regard to long record of herbal drugs consumption in Iran and their benefits, we survey the possibility of using Valerian officinalis, Melissa officinalis, Papaver somniferum, and P. bracteatum as fish anesthetic. We provided, processed, and made consistent extractions of V. officinalis (2, 3 4g/lit), M. officinalis (5, 10, 15g/lit), P. somniferum (0.85, 1.6, 3.2g/lit) and P. bracteatum (0.3, 0.6, 0.9g/lit). We selected 60 goldfish Carassius auratus in the weight range of 7.41 plus or minus 0/2g, and the length range of 8.4 plus or minus 0/11cm and kept them in laboratory conditions under the same oxygen and temperature. The fish were divided into four groups each containing 15 fish and further into three subgroups of five fish each. During the experiments, two herbs P. somniferum and P. bracteaturn were eliminated from statistical analysis because of biased results

Determination of mercury, lead, arsenic, cadmium and chromium in salt and water of Maharloo Lake, Iran, in different seasons

Background and purpose: Today, environmental pollutions are of the most important issues and hazardous in food safety around the world. Given the importance of salt and water in dietary, and extracting them from Maharloo Lake, Iran, this study aimed to investigate the concentrations of heavy metals, as environmental pollutions, in salt and water of this lake at different seasons. Materials and methods: In order to monitor heavy metals, including chromium (Cr), mercury (Hg), arsenic (As), cadmium (Cd) and lead (Pb), water and salt samplings were done in each season from August 2009 to May 2010. Using atomic absorption, the concentration of the mentioned metals was determined after digesting the samples. Results: The order of concentration of detected metals in different seasons in salt was Cr > As > Cd > Pb > Hg, and in water was Cr > As > Hg > Cd > Pb. In salt, the highest concentrations of Cr, Cd, Pb, and As were detected in spring and of Hg was seen in summer. Also in water, the highest concentrations of As and Cd were detected in spring, of Cr and Hg in summer, and of Pb in autumn. Conclusion: In summary, it could be concluded that the changes in the concentration of metals during different seasons was caused by the changes in the inlet water and human activities, especially agricultures. In addition, compared to Iranian standard, determined concentrations of Pb and Hg in salt samples were lower

Evaluation of the doxycycline release from AH26 sealer-doxycycline combination: An ex vivo study

INTRODUCTION: The purpose of this ex vivo study was to determine the releasing characteristics and doxycycline dentinal diffusion of AH26 sealer-doxycycline combination from apical 3mm of tooth root and apical foramen.MATERIALS & METHODS: One-hundred and two recently extracted single-rooted human teeth were decoronated and prepared with #3 and #4 Gates-Glidden drills and rotary Mtwo files. Smear layer was removed; all surfaces except for apical 3mm of each root were sealed with two coats of nail polish. To quantify the release and diffusion of the doxycycline at different time intervals (30 min, 48 and 72 h) after root canal obturation, the samples were randomly divided into three groups (n=30; 0.5 h, 48 h, 72 h). To evaluate the release of doxycycline from AH26 sealer-doxycycline combination at six concentrations of antibiotic including 0.5%, 1%, 2%, 5%, 10% and 20%; each experimental group was divided into six equal subgroups (n=5). Root canals were filled with gutta-percha and AH26-doxycycline combinations and then were placed in vials containing 1.25mL of phosphate buffer saline solution (PBS). After 30 min, 48 and 72 h, the amount of doxycycline released from specimens into PBS were determined by measuring the absorbance values using UV spectrophotometry at λmax=350 nm. Data were analyzed using two-way ANOVA. RESULTS: The findings of this study revealed that AH26 sealer-doxycycline combination released variable measures of antibiotic at each time interval and in the various concentrations. At 30 min, no statistically significant differences were obtained between the results of subgroups, but at 48 and 72 h these differences were significant (P < 0.001). The results also showed that differences between 0.5 h, 48 h and 72 h were significant within subgroups (P < 0.01). CONCLUSION: Under the conditions of this ex vivo study, doxycycline can be released from AH26 sealer-antibiotic combination through 3mm of apical root and apical foramen at 30 min, 48 and 72 h after mixing the sealer with doxycycline at concentrations of 0.5% up to 20%.

Prediction of Solvent Effect on Asphaltene Precipitation at Reservoir Conditions

The aim of the current study is to evaluate the effects of inhibitors or solvents on asphaltene precipitation under reservoir conditions. To this end, the interaction between live oil and solvent, and its side effects on precipitated/dissolved asphaltene were predicted via Miller’s entropy modified polymer solution theory under reservoir conditions. Then, the adjustable parameters of the model were tuned using experimental the data of asphaltene precipitation within a live oil sample. The obtained adjusted parameters were considered to monitor the effects of solvent injection, miscible gas injection, and natural depletion on asphaltene deposition through an oil sample. Finally, Peng-Robinson equation of state was applied to calculate vapor-liquid equilibrium conditions. The results showed that the output of the model was really in good agreement with all experimental, field, and theoretical data

A national prospective cohort study of SARS/COV2 pandemic outcomes in the U.S.: The CHASING COVID Cohort

Introduction: The Chasing COVID Cohort (C 3 ) study is a US-based, geographically and socio-demographically diverse sample of adults (18 and older) enrolled into a prospective cohort study during the upswing of the U.S. COVID-19 pandemic. Methods: We used internet-based strategies to enroll C 3 participants beginning March 28th, 2020. Following baseline questionnaire completion, study participants will be contacted monthly (for 6 months) to complete assessments of engagement in non-pharmaceutical interventions (e.g., use of cloth masks, avoiding large gatherings); COVID-19 symptoms; SARS/COV2 testing and diagnosis; hospitalizations; healthcare access; and uptake of health messaging. Dried blood spot (DBS) specimens will be collected at the first follow-up assessment (last week of April 2020) and at month 3 (last week of June 2020) and stored until a validated serologic test is available. Results: As of April 20, 2020, the number of people that completed the baseline survey and provided contact information for follow-up was 7,070. Participants resided in all 50 US states, the District of Columbia, Puerto Rico, and Guam. At least 24% of participants were frontline workers (healthcare and other essential workers). Twenty-three percent (23%) were 60+ years, 24% were Black or Hispanic, 52% were men, and 52% were currently employed. Nearly 20% reported recent COVID-like symptoms (cough, fever or shortness of breath) and a high proportion reported engaging in non-pharmaceutical interventions that reduce SARS/COV2 spread (93% avoided groups \u3e20, 58% wore masks; 73% quarantined). More than half (54%) had higher risk for severe COVID-19 illness should they become infected with SARS/COV2 based on age, underlying health conditions (e.g., chronic lung disease), or daily smoking. Discussion: A geographically and socio-demographically diverse group of participants was rapidly enrolled in the C3 during the upswing of the SARS/COV2 pandemic. Strengths of the C3 include the potential for direct observation of, and risk factors for, seroconversion and incident COVID disease (among those with or without antibodies to SARS/COV2) in areas of active transmission

Evaluation of the Cryptocurrency Adoption Decision Using Hierarchical Decision Modeling (HDM)

In the recent years, there has been a massive attention toward cryptocurrency. The development of the blockchain technology has enabled the cryptocurrency to invade the financial industry by providing, to some extent, an alternative banking system with extra benefits such as lower cost of transaction, faster transaction processing, and higher level of privacy. Bitcoin is the first completely decentralized digital currency to exist in the cryptocurrency market. People have adopted cryptocurrency for several reasons. This adoption is a purchasing decision where the users make the adoption decision based on set of factors that matter to them. This paper aims at evaluating the factors impacting the cryptocurrency adoption decision. To do so, we have identified the factors that the users consider when making the purchasing decision based on a comprehensive review of recent literature and expert\u27s inputs. The objectives of the paper are to: (1) identify the factors impacting the adoption decision, (2) and determine the ranking of these factors based on the quantification of users\u27 judgments. This paper proposes a Hierarchical Decision Model (HDM) to understand the users\u27 decision to adopt cryptocurrency. The model suggests four main perspectives that influence the adoption decision namely: economic, technical, social, and personal. Every perspective consists of set of related criteria. We then used the pairwise comparison method to assess the importance of the perspectives and criteria to the overall objective of the model. The findings of this study suggest that users evaluate and make their decision mostly from economic and social perspectives. The top criteria found to influence the cryptocurrency adoption decision are the investment opportunity, subjective norms, businesses acceptance, privacy, and global attention. This paper provides insights into the factors impacting the adoption decision and their importance level. It also helps the cryptocurrency developers to understand the consumers\u27 adoption criteria to encourage cryptocurrency adoption

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

The literature of human and other host-associated microbiome studies is expanding rapidly, but systematic comparisons among published results of host-associated microbiome signatures of differential abundance remain difficult. We present BugSigDB, a community-editable database of manually curated microbial signatures from published differential abundance studies accompanied by information on study geography, health outcomes, host body site and experimental, epidemiological and statistical methods using controlled vocabulary. The initial release of the database contains >2,500 manually curated signatures from >600 published studies on three host species, enabling high-throughput analysis of signature similarity, taxon enrichment, co-occurrence and coexclusion and consensus signatures. These data allow assessment of microbiome differential abundance within and across experimental conditions, environments or body sites. Database-wide analysis reveals experimental conditions with the highest level of consistency in signatures reported by independent studies and identifies commonalities among disease-associated signatures, including frequent introgression of oral pathobionts into the gut