Policymakers require estimates of the future number of cancer patients in order to allocate finite resources to cancer prevention, treatment and palliative care. We examine recent cancer incidence trends in Iran and present predicted incidence rates and new cases for the entire country for the year 2025. We developed a method for approximating population‐based incidence from the pathology‐based data series available nationally for the years 2008 to 2013, and augmented this with data from the Iranian National Population‐based Cancer Registry (INPCR) for the years 2014 to 2016. We fitted time‐linear age‐period models to the recent incidence trends to quantify the future cancer incidence burden to the year 2025, delineating the contribution of changes due to risk and those due to demographic change. The number of new cancer cases is predicted to increase in Iran from 112 000 recorded cases in 2016 to an estimated 160 000 in 2025, a 42.6% increase, of which 13.9% and 28.7% were attributed to changes in risk and population structure, respectively. In terms of specific cancers, the greatest increases in cases are predicted for thyroid (113.8%), prostate (66.7%), female breast (63.0%) and colorectal cancer (54.1%). Breast, colorectal and stomach cancers were the most common cancers in Iran in 2016 and are predicted to remain the leading cancers nationally in 2025. The increasing trends in incidence of most common cancers in Iran reinforce the need for the tailored design and implementation of effective national cancer control programs across the country.

A 60-day trial was conducted in rainbow trout (Oncorhynchus mykiss) fry (initial weight = 2.5 ± 0.6 g) to evaluate the potential use of a bacterial single-cell protein (SCP) as an alternative protein source. Five experimental diets with different levels of fishmeal replacement (0, 25, 50, 75 and 100%) and no amino acid supplementation were tested. At the end of the trial, we found that fry fed diets, replacing 25 and 50% of fishmeal with bacterial SCP, were 9.1 and 21.8% heavier, respectively, than those fed the control diet (p < 0.05), while Feed Conversion Ratio (FCR) values were also lower in comparison to the reference group. These results were also supported by Protein Efficiency Ratio (PER) and Lipid Efficiency Ratio (LER) values that improved in fish fed diets replacing 50% fishmeal by bacterial SCP. The inclusion of SCP enhanced Feed intake (FI) (p < 0.05), although FI was reduced at higher inclusion levels (>50%), which was associated to feed palatability. High levels of bacterial SCP (>50%) affected the muscular amino acid and fatty acid profiles, imbalances that were associated to their dietary content. The broken-line regression analysis using muscle DHA content and weight gain data showed that the maximum levels of fishmeal replacement by bacterial SCP were 46.9 and 52%, respectively.

A 60-day feeding trial was conducted to determine the effects of different levels of grape seed oil (GO) on growth performance, digestive enzymes activity, fillet proximate and fatty acid composition of rainbow trout (Oncorhynchus mykiss) juveniles (40.17 ± 0.04 g). Five experimental diets were formulated where fish oil (FO) was replaced with 0 (D1), 25 (D2), 50 (D3), 75 (D4) and 100 (D5) % GO. Growth performance was significantly improved with increasing GO levels up to 50% after which fish growth decreased (P < 0.05). Fillet fatty acid composition was affected by the inclusion level of GO in diets; in particular, n-6 PUFA levels increased with increasing GO in diets, while n-3 HUFA levels, especially EPA and DHA, significantly decreased (P < 0.05). Fish fed on diets containing higher levels of GO revealed a decrease in α-amylase activity, whereas trypsin, total alkaline protease, and lipase activities increased significantly with increasing GO levels up to 50% and then decreased (P < 0.05).Based on the findings of the present study, it could be concluded that GO could be included in diets for rainbow trout up to 50% where it had the best performance over the other diets tested in the present experiment.

This work aimed to determine the physicochemical and biochemical properties of trypsin from beluga Huso huso and sevruga Acipenser stellatus, two highly valuable sturgeon species. According to the results obtained from the methods of casein-zymogram and inhibitory activity staining, the molecular weight of trypsin for sevruga and beluga was 27.5 and 29.5 kDa, respectively. Optimum pH and temperature values for both trypsins were recorded at 8.5 and 55 °C by BAPNA (a specific substrate), respectively. The stability of both trypsins was well-preserved at pH values from 6.0 to 11.0 and temperatures up to 50 °C. TLCK and SBTI, two specific trypsin inhibitors, showed a significant inhibitory effect on the enzymatic activity of both trypsins (p < 0.05). The enzyme activity was significantly increased in the presence of Ca+2 and surfactants and decreased by oxidizing agents, Cu+2, Zn+2, and Co+2 (p < 0.05). However, univalent ions Na+ and K+ did not show any significant effect on the activity of both trypsins (p > 0.05). The results of our study show that the properties of trypsin from beluga and sevruga are in agreement with data reported in bony fish and can contribute to the clear understanding of trypsin activity in these primitive species.

The aim of this study was to predict the positive reaction of buyers by examining the effectiveness of advertising on social networks with emphasis on teaching mental norms and expressing empathy. Methodology: This research was applied in terms of purpose and experimental in nature. The statistical population was users of the social network Instagram, the exact number of whom was unlimited. And by simple random sampling method, 150 online questionnaires were collected. The face and content validity of the final questionnaire was confirmed by marketing experts and in a pre-test on 30 users, Cronbach's alpha of 0.7 was observed. The total reliability of the questionnaires was confirmed by Cronbach's alpha and the reliability of each structure was confirmed by composite reliability. Data analysis was performed using structural equation modeling technique and PLS2 software. Findings: The model used in this article examines the concept of the formation of online user behavioral reactions with respect to social media advertising and the effect of teaching mental norms. This study conceptualizes the effectiveness of social media advertising as a concept that includes emotional attraction, information content, creativity, and interaction, all of which have the potential to contribute to a positive online behavior. Conclusion:The results showed that informational content, emotion and advertising creativity were the key drivers of desirable behavioral reactions to a social media ad and the intention to participate in the user's favorable responses was positively related to the purchase intention.